25 lines
1.2 KiB
Markdown
25 lines
1.2 KiB
Markdown
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# {{ model_name }}
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**vLLM Version**: vLLM: {{ vllm_version }} ([{{ vllm_commit[:7] }}](https://github.com/vllm-project/vllm/commit/{{ vllm_commit }})),
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**vLLM Ascend Version**: {{ vllm_ascend_version }} ([{{ vllm_ascend_commit[:7] }}](https://github.com/vllm-project/vllm-ascend/commit/{{ vllm_ascend_commit }}))
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**Software Environment**: CANN: {{ cann_version }}, PyTorch: {{ torch_version }}, torch-npu: {{ torch_npu_version }}
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**Hardware Environment**: Atlas A2 Series
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**Datasets**: {{ datasets }}
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**Parallel Mode**: TP
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**Execution Mode**: ACLGraph
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**Command**:
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```bash
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export MODEL_ARGS={{ model_args }}
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lm_eval --model {{ model_type }} --model_args $MODEL_ARGS --tasks {{ datasets }} \
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--apply_chat_template {{ apply_chat_template }} --fewshot_as_multiturn {{ fewshot_as_multiturn }} {% if num_fewshot is defined and num_fewshot != "N/A" %} --num_fewshot {{ num_fewshot }} {% endif %} \
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--limit {{ limit }} --batch_size {{ batch_size}}
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```
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| Task | Metric | Value | Stderr |
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|-----------------------|-------------|----------:|-------:|
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{% for row in rows -%}
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| {{ row.task.rjust(23) }} | {{ row.metric.rjust(15) }} |{{ row.value }} | ± {{ "%.4f" | format(row.stderr | float) }} |
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{% endfor %}
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