OpenCompass/configs/models/deepseek/hf_deepseek_7b_chat.py

from opencompass.models import HuggingFacewithChatTemplate

models = [
    dict(
        type=HuggingFacewithChatTemplate,
        abbr='deepseek-7b-chat-hf',
        path='deepseek-ai/deepseek-llm-7b-chat',
        max_out_len=1024,
        batch_size=8,
        run_cfg=dict(num_gpus=1),
    )
]
[Feature] Add huggingface apply_chat_template (#1098) * add TheoremQA with 5-shot * add huggingface_above_v4_33 classes * use num_worker partitioner in cli * update theoremqa * update TheoremQA * add TheoremQA * rename theoremqa -> TheoremQA * update TheoremQA output path * rewrite many model configs * update huggingface * further update * refine configs * update configs * update configs * add configs/eval_llama3_instruct.py * add summarizer multi faceted * update bbh datasets * update configs/models/hf_llama/lmdeploy_llama3_8b_instruct.py * rename class * update readme * update hf above v4.33 2024-05-14 14:50:16 +08:00			`from opencompass.models import HuggingFacewithChatTemplate`
add qwen and deepseek configs (#672) 2023-12-07 20:29:00 +08:00
			`models = [`
			`dict(`
[Feature] Add huggingface apply_chat_template (#1098) * add TheoremQA with 5-shot * add huggingface_above_v4_33 classes * use num_worker partitioner in cli * update theoremqa * update TheoremQA * add TheoremQA * rename theoremqa -> TheoremQA * update TheoremQA output path * rewrite many model configs * update huggingface * further update * refine configs * update configs * update configs * add configs/eval_llama3_instruct.py * add summarizer multi faceted * update bbh datasets * update configs/models/hf_llama/lmdeploy_llama3_8b_instruct.py * rename class * update readme * update hf above v4.33 2024-05-14 14:50:16 +08:00			`type=HuggingFacewithChatTemplate,`
add qwen and deepseek configs (#672) 2023-12-07 20:29:00 +08:00			`abbr='deepseek-7b-chat-hf',`
[Feature] Add huggingface apply_chat_template (#1098) * add TheoremQA with 5-shot * add huggingface_above_v4_33 classes * use num_worker partitioner in cli * update theoremqa * update TheoremQA * add TheoremQA * rename theoremqa -> TheoremQA * update TheoremQA output path * rewrite many model configs * update huggingface * further update * refine configs * update configs * update configs * add configs/eval_llama3_instruct.py * add summarizer multi faceted * update bbh datasets * update configs/models/hf_llama/lmdeploy_llama3_8b_instruct.py * rename class * update readme * update hf above v4.33 2024-05-14 14:50:16 +08:00			`path='deepseek-ai/deepseek-llm-7b-chat',`
			`max_out_len=1024,`
add qwen and deepseek configs (#672) 2023-12-07 20:29:00 +08:00			`batch_size=8,`
[Feature] Add huggingface apply_chat_template (#1098) * add TheoremQA with 5-shot * add huggingface_above_v4_33 classes * use num_worker partitioner in cli * update theoremqa * update TheoremQA * add TheoremQA * rename theoremqa -> TheoremQA * update TheoremQA output path * rewrite many model configs * update huggingface * further update * refine configs * update configs * update configs * add configs/eval_llama3_instruct.py * add summarizer multi faceted * update bbh datasets * update configs/models/hf_llama/lmdeploy_llama3_8b_instruct.py * rename class * update readme * update hf above v4.33 2024-05-14 14:50:16 +08:00			`run_cfg=dict(num_gpus=1),`
add qwen and deepseek configs (#672) 2023-12-07 20:29:00 +08:00			`)`
			`]`