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433 lines
13 KiB
YAML
433 lines
13 KiB
YAML
chat:
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glm-4-9b-chat-hf:
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gsm8k_accuracy: 56.25
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race-high_accuracy: 84.38
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glm-4-9b-chat-turbomind:
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gsm8k_accuracy: 71.88
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race-high_accuracy: 90.62
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glm-4-9b-chat-vllm:
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gsm8k_accuracy: 71.88
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race-high_accuracy: 90.62
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deepseek-7b-chat-hf:
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gsm8k_accuracy: 46.88
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race-high_accuracy: 81.25
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deepseek-r1-distill-llama-8b-turbomind:
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gsm8k_accuracy: 34.38
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race-high_accuracy: 81.25
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deepseek-r1-distill-qwen-1_5b-turbomind:
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gsm8k_accuracy: 28.12
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race-high_accuracy: 53.12
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deepseek-7b-chat-vllm:
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gsm8k_accuracy: 56.25
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race-high_accuracy: 78.12
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gemma2-2b-it-hf:
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gsm8k_accuracy: 50
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race-high_accuracy: 75
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gemma2-9b-it-hf:
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gsm8k_accuracy: 68.75
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race-high_accuracy: 84.38
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gemma-2b-it-hf:
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gsm8k_accuracy: 3.12
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race-high_accuracy: 40.62
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gemma-7b-it-hf:
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gsm8k_accuracy: 40.62
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race-high_accuracy: 68.75
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gemma-2-9b-it-turbomind:
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gsm8k_accuracy: 68.75
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race-high_accuracy: 84.38
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gemma-2-27b-it-turbomind:
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gsm8k_accuracy: 78.12
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race-high_accuracy: 93.75
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gemma-7b-it-vllm:
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gsm8k_accuracy: 28.12
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race-high_accuracy: 68.75
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internlm2_5-7b-chat-hf:
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gsm8k_accuracy: 84.38
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race-high_accuracy: 90.62
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internlm3-8b-instruct-hf:
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gsm8k_accuracy: 65.62
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race-high_accuracy: 87.5
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internlm2_5-7b-chat-turbomind:
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gsm8k_accuracy: 81.25
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race-high_accuracy: 90.62
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internlm2-chat-1.8b-turbomind:
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gsm8k_accuracy: 25.00
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race-high_accuracy: 84.38
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internlm2-chat-1.8b-sft-turbomind:
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gsm8k_accuracy: 34.38
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race-high_accuracy: 84.38
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internlm2-chat-7b-lmdeploy:
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gsm8k_accuracy: 59.38
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race-high_accuracy: 87.50
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internlm2-chat-7b-sft-turbomind:
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gsm8k_accuracy: 56.25
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race-high_accuracy: 87.50
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internlm3-8b-instruct-turbomind:
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gsm8k_accuracy: 65.62
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race-high_accuracy: 87.5
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internlm2-chat-7b-vllm:
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gsm8k_accuracy: 53.12
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race-high_accuracy: 87.50
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llama-3_1-8b-instruct-hf:
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gsm8k_accuracy: 84.38
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race-high_accuracy: 90.62
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llama-3_2-3b-instruct-hf:
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gsm8k_accuracy: 71.88
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race-high_accuracy: 81.25
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llama-3-8b-instruct-hf:
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gsm8k_accuracy: 68.75
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race-high_accuracy: 87.5
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llama-2-7b-chat-turbomind:
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gsm8k_accuracy: 18.75
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race-high_accuracy: 46.88
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llama-3_1-8b-instruct-turbomind:
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gsm8k_accuracy: 84.38
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race-high_accuracy: 90.62
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llama-3_2-3b-instruct-turbomind:
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gsm8k_accuracy: 65.62
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race-high_accuracy: 81.25
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llama-3-8b-instruct-turbomind:
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gsm8k_accuracy: 65.62
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race-high_accuracy: 84.38
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mistral-7b-instruct-v0.2-hf:
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gsm8k_accuracy: 40.62
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race-high_accuracy: 75
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mistral-7b-instruct-v0.3-hf:
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gsm8k_accuracy: 40.62
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race-high_accuracy: 75
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mistral-nemo-instruct-2407-hf:
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gsm8k_accuracy: 75
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race-high_accuracy: 81.25
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mistral-nemo-instruct-2407-turbomind:
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gsm8k_accuracy: 71.88
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race-high_accuracy: 75
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mistral-7b-instruct-v0.1-vllm:
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gsm8k_accuracy: 34.38
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race-high_accuracy: 65.62
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mistral-7b-instruct-v0.2-vllm:
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gsm8k_accuracy: 28.12
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race-high_accuracy: 78.12
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qwen2.5-0.5b-instruct-hf:
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gsm8k_accuracy: 34.38
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race-high_accuracy: 46.88
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qwen2.5-3b-instruct-hf :
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gsm8k_accuracy: 53.12
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race-high_accuracy: 90.62
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qwen2.5-0.5b-instruct-turbomind:
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gsm8k_accuracy: 28.12
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race-high_accuracy: 43.75
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qwen2.5-3b-instruct-turbomind:
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gsm8k_accuracy: 56.25
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race-high_accuracy: 90.62
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qwen1.5-0.5b-chat-hf:
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gsm8k_accuracy: 0
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race-high_accuracy: 53.12
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qwen2-1.5b-instruct-hf:
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gsm8k_accuracy: 62.5
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race-high_accuracy: 84.38
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qwen2-7b-instruct-hf:
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gsm8k_accuracy: 68.75
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race-high_accuracy: 90.62
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qwen2-1.5b-instruct-turbomind:
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gsm8k_accuracy: 56.25
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race-high_accuracy: 84.38
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qwen2-7b-instruct-turbomind:
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gsm8k_accuracy: 75.00
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race-high_accuracy: 87.50
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qwen1.5-0.5b-chat-vllm:
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gsm8k_accuracy: 6.25
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race-high_accuracy: 53.12
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yi-1.5-6b-chat-hf:
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gsm8k_accuracy: 65.62
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race-high_accuracy: 84.38
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yi-1.5-9b-chat-hf:
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gsm8k_accuracy: 75
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race-high_accuracy: 93.75
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yi-1.5-6b-chat-turbomind:
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gsm8k_accuracy: 59.38
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race-high_accuracy: 84.38
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yi-1.5-9b-chat-turbomind:
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gsm8k_accuracy: 78.12
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race-high_accuracy: 93.75
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deepseek-v2_lite-chat-turbomind:
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gsm8k_accuracy: 43.75
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race-high_accuracy: 71.88
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gemma2-27b-it-hf:
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gsm8k_accuracy: 71.88
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race-high_accuracy: 93.75
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internlm2_5-20b-chat-hf:
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gsm8k_accuracy: 84.38
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race-high_accuracy: 87.5
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internlm2_5-20b-chat-turbomind:
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gsm8k_accuracy: 87.50
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race-high_accuracy: 87.5
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mistral-small-instruct-2409-hf:
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gsm8k_accuracy: 81.25
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race-high_accuracy: 87.50
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mistral-small-instruct-2409-turbomind:
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gsm8k_accuracy: 78.12
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race-high_accuracy: 87.50
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phi-4:
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gsm8k_accuracy: 81.25
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race-high_accuracy: 87.50
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qwen2.5-14b-instruct-hf:
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gsm8k_accuracy: 71.88
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race-high_accuracy: 96.88
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qwen2.5-14b-instruct-turbomind:
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gsm8k_accuracy: 71.88
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race-high_accuracy: 96.88
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yi-1.5-34b-chat-turbomind:
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gsm8k_accuracy: 71.88
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race-high_accuracy: 93.75
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deepseek-67b-chat-turbomind:
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gsm8k_accuracy: 71.88
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race-high_accuracy: 75.00
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deepseek-r1-distill-qwen-32b-turbomind:
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gsm8k_accuracy: 31.25
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race-high_accuracy: 90.62
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llama-3_3-70b-instruct-turbomind:
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gsm8k_accuracy: 93.75
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race-high_accuracy: 87.5
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mixtral-large-instruct-2411-turbomind:
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gsm8k_accuracy: 87.50
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race-high_accuracy: 93.75
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nvidia-3_1-Nemotron-70b-instruct-HF-turbomind:
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gsm8k_accuracy: 90.62
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race-high_accuracy: 53.12
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qwen2.5-72b-instruct-turbomind:
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gsm8k_accuracy: 78.12
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race-high_accuracy: 90.62
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deepseek-r1-distill-llama-70b-turbomind:
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gsm8k_accuracy: 50.00
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race-high_accuracy: 87.50
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deepseek-v2_5-1210-turbomind:
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gsm8k_accuracy: 90.62
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race-high_accuracy: 84.38
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mixtral-8x22b-instruct-v0.1-turbomind:
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gsm8k_accuracy: 75.00
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race-high_accuracy: 78.12
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mixtral-8x22b-instruct-v0.1-vllm:
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gsm8k_accuracy: 78.12
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race-high_accuracy: 78.12
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base:
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glm-4-9b-turbomind:
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gsm8k_accuracy: 59.38
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GPQA_diamond_accuracy: 28.12
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race-high_accuracy: 93.75
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winogrande_accuracy: 84.38
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deepseek-7b-base-hf:
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gsm8k_accuracy: 25
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GPQA_diamond_accuracy: 0
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race-high_accuracy: 46.88
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winogrande_accuracy: 71.88
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deepseek-7b-base-turbomind:
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gsm8k_accuracy: 18.75
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GPQA_diamond_accuracy: 3.12
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race-high_accuracy: 50.00
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winogrande_accuracy: 84.38
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deepseek-moe-16b-base-vllm:
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gsm8k_accuracy: 25.00
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GPQA_diamond_accuracy: 0
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race-high_accuracy: 25
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winogrande_accuracy: 68.75
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gemma2-2b-hf:
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gsm8k_accuracy: 31.25
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GPQA_diamond_accuracy: 3.12
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race-high_accuracy: 56.25
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winogrande_accuracy: 75.00
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gemma2-9b-hf:
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gsm8k_accuracy: 75.00
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GPQA_diamond_accuracy: 0
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race-high_accuracy: 84.38
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winogrande_accuracy: 81.25
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gemma-2b-hf:
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gsm8k_accuracy: 21.88
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GPQA_diamond_accuracy: 3.12
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race-high_accuracy: 21.88
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winogrande_accuracy: 53.12
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gemma-7b-hf:
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gsm8k_accuracy: 56.25
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GPQA_diamond_accuracy: 3.12
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race-high_accuracy: 65.62
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winogrande_accuracy: 71.88
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gemma-2-9b-turbomind:
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gsm8k_accuracy: 68.75
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GPQA_diamond_accuracy: 0
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race-high_accuracy: 84.38
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winogrande_accuracy: 81.25
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gemma-2b-vllm:
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gsm8k_accuracy: 15.62
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GPQA_diamond_accuracy: 3.12
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race-high_accuracy: 28.12
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winogrande_accuracy: 68.75
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gemma-7b-vllm:
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gsm8k_accuracy: 59.38
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GPQA_diamond_accuracy: 6.25
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race-high_accuracy: 81.25
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winogrande_accuracy: 81.25
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internlm2_5-7b-hf:
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gsm8k_accuracy: 37.5
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GPQA_diamond_accuracy: 25
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race-high_accuracy: 93.75
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winogrande_accuracy: 71.88
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internlm2-7b-hf:
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gsm8k_accuracy: 53.12
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GPQA_diamond_accuracy: 18.75
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race-high_accuracy: 62.5
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winogrande_accuracy: 78.12
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internlm2-1.8b-turbomind:
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gsm8k_accuracy: 12.50
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GPQA_diamond_accuracy: 9.38
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race-high_accuracy: 71.88
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winogrande_accuracy: 75
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internlm2_5-7b-turbomind:
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gsm8k_accuracy: 62.5
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GPQA_diamond_accuracy: 31.25
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race-high_accuracy: 93.75
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winogrande_accuracy: 87.5
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internlm2-7b-turbomind:
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gsm8k_accuracy: 53.12
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GPQA_diamond_accuracy: 25.00
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race-high_accuracy: 78.12
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winogrande_accuracy: 71.88
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internlm2-base-7b-turbomind:
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gsm8k_accuracy: 25.00
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GPQA_diamond_accuracy: 34.38
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race-high_accuracy: 71.88
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winogrande_accuracy: 62.50
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llama-2-7b-hf:
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gsm8k_accuracy: 21.88
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GPQA_diamond_accuracy: 21.88
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race-high_accuracy: 40.62
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winogrande_accuracy: 71.88
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llama-3_1-8b-hf:
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gsm8k_accuracy: 78.12
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GPQA_diamond_accuracy: 25
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race-high_accuracy: 90.62
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winogrande_accuracy: 62.5
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llama-3-8b-hf:
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gsm8k_accuracy: 46.88
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GPQA_diamond_accuracy: 6.25
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race-high_accuracy: 65.62
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winogrande_accuracy: 65.62
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llama-3.1-8b-turbomind:
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gsm8k_accuracy: 56.25
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GPQA_diamond_accuracy: 9.38
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race-high_accuracy: 78.12
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winogrande_accuracy: 78.12
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llama-3-8b-turbomind:
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gsm8k_accuracy: 46.88
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GPQA_diamond_accuracy: 12.50
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race-high_accuracy: 65.62
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winogrande_accuracy: 81.25
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mistral-7b-v0.3-hf:
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gsm8k_accuracy: 31.25
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GPQA_diamond_accuracy: 6.25
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race-high_accuracy: 62.5
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winogrande_accuracy: 59.38
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qwen2.5-7b-hf:
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gsm8k_accuracy: 81.25
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GPQA_diamond_accuracy: 18.75
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race-high_accuracy: 87.5
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winogrande_accuracy: 71.88
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qwen2.5-1.5b-turbomind:
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gsm8k_accuracy: 59.38
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GPQA_diamond_accuracy: 21.88
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race-high_accuracy: 78.12
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winogrande_accuracy: 71.88
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qwen2.5-7b-turbomind:
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gsm8k_accuracy: 78.12
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GPQA_diamond_accuracy: 21.88
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race-high_accuracy: 87.5
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winogrande_accuracy: 75.00
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qwen1.5-moe-a2.7b-hf:
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gsm8k_accuracy: 62.5
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GPQA_diamond_accuracy: 18.75
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race-high_accuracy: 84.38
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winogrande_accuracy: 75
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qwen2-0.5b-hf:
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gsm8k_accuracy: 25
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GPQA_diamond_accuracy: 0
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race-high_accuracy: 40.62
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winogrande_accuracy: 62.5
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qwen2-1.5b-hf:
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gsm8k_accuracy: 59.38
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GPQA_diamond_accuracy: 9.38
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race-high_accuracy: 81.25
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winogrande_accuracy: 62.5
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qwen2-7b-hf:
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gsm8k_accuracy: 68.75
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GPQA_diamond_accuracy: 9.38
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race-high_accuracy: 87.5
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winogrande_accuracy: 68.75
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qwen2-1.5b-turbomind:
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gsm8k_accuracy: 56.25
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GPQA_diamond_accuracy: 12.50
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race-high_accuracy: 81.25
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winogrande_accuracy: 75
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qwen2-7b-turbomind:
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gsm8k_accuracy: 65.62
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GPQA_diamond_accuracy: 12.5
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race-high_accuracy: 87.5
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winogrande_accuracy: 75
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qwen1.5-0.5b-vllm:
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gsm8k_accuracy: 9.38
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GPQA_diamond_accuracy: 3.12
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race-high_accuracy: 56.25
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winogrande_accuracy: 59.38
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yi-1.5-6b-hf:
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gsm8k_accuracy: 62.5
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GPQA_diamond_accuracy: 3.12
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race-high_accuracy: 87.5
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winogrande_accuracy: 62.5
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yi-1.5-9b-hf:
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gsm8k_accuracy: 75
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GPQA_diamond_accuracy: 40.62
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race-high_accuracy: 87.5
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winogrande_accuracy: 59.38
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yi-1.5-9b-turbomind:
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gsm8k_accuracy: 75.00
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GPQA_diamond_accuracy: 40.62
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race-high_accuracy: 87.5
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winogrande_accuracy: 65.62
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internlm2-20b-turbomind:
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gsm8k_accuracy: 71.88
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GPQA_diamond_accuracy: 18.75
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race-high_accuracy: 68.75
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winogrande_accuracy: 81.25
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qwen2.5-14b-hf:
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gsm8k_accuracy: 75
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GPQA_diamond_accuracy: 37.5
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race-high_accuracy: 93.75
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winogrande_accuracy: 84.38
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qwen2.5-32b-hf:
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gsm8k_accuracy: 87.5
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GPQA_diamond_accuracy: 31.25
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race-high_accuracy: 93.75
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winogrande_accuracy: 78.12
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qwen2.5-32b-turbomind:
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gsm8k_accuracy: 90.62
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GPQA_diamond_accuracy: 31.25
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race-high_accuracy: 93.75
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winogrande_accuracy: 81.25
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deepseek-67b-base-turbomind:
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gsm8k_accuracy: 62.50
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GPQA_diamond_accuracy: 31.25
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race-high_accuracy: 78.12
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winogrande_accuracy: 81.25
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llama-3-70b-turbomind:
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gsm8k_accuracy: 56.25
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GPQA_diamond_accuracy: 15.62
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race-high_accuracy: 93.75
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winogrande_accuracy: 84.38
|
|
qwen2.5-72b-turbomind:
|
|
gsm8k_accuracy: 84.38
|
|
GPQA_diamond_accuracy: 40.62
|
|
race-high_accuracy: 93.75
|
|
winogrande_accuracy: 87.5
|
|
deepseek-v2-turbomind:
|
|
gsm8k_accuracy: 65.62
|
|
GPQA_diamond_accuracy: 3.12
|
|
race-high_accuracy: 93.75
|
|
winogrande_accuracy: 81.25
|