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--- |
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license: other |
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library_name: transformers |
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base_model: meta-llama/Meta-Llama-3-8B |
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datasets: |
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- mlabonne/orpo-dpo-mix-40k |
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- Open-Orca/SlimOrca-Dedup |
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- jondurbin/airoboros-3.2 |
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- microsoft/orca-math-word-problems-200k |
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- m-a-p/Code-Feedback |
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- MaziyarPanahi/WizardLM_evol_instruct_V2_196k |
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model-index: |
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- name: llama-3-neural-chat-v1-8b |
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results: |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: AI2 Reasoning Challenge (25-Shot) |
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type: ai2_arc |
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config: ARC-Challenge |
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split: test |
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args: |
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num_few_shot: 25 |
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metrics: |
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- type: acc_norm |
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value: 60.84 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/llama-3-neural-chat-v1-8b |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: HellaSwag (10-Shot) |
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type: hellaswag |
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split: validation |
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args: |
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num_few_shot: 10 |
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metrics: |
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- type: acc_norm |
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value: 84.13 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/llama-3-neural-chat-v1-8b |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MMLU (5-Shot) |
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type: cais/mmlu |
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config: all |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 64.69 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/llama-3-neural-chat-v1-8b |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: TruthfulQA (0-shot) |
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type: truthful_qa |
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config: multiple_choice |
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split: validation |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: mc2 |
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value: 56.34 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/llama-3-neural-chat-v1-8b |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: Winogrande (5-shot) |
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type: winogrande |
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config: winogrande_xl |
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split: validation |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 78.22 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/llama-3-neural-chat-v1-8b |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: GSM8k (5-shot) |
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type: gsm8k |
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config: main |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 54.81 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/llama-3-neural-chat-v1-8b |
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name: Open LLM Leaderboard |
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--- |
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# llama-3-neural-chat-v1-8b |
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<!-- Provide a quick summary of what the model is/does. --> |
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## Model Details |
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### Model Description |
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<!-- Provide a longer summary of what this model is. --> |
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I fine-tuned llama-3 8B on an approach similar to Intel's neural chat language model. I have slightly modified the data sources so it is stronger in coding, math, and writing. I use both SFT and DPO. |
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- **Developed by:** Locutusque |
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- **Model type:** Built with Meta Llama 3 |
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- **Language(s) (NLP):** Many? |
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- **License:** Llama 3 license https://huggingface.co/meta-llama/Meta-Llama-3-8B/blob/main/LICENSE |
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## Uses |
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> |
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This model has great performance in writing and coding. |
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## Training Data |
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- Open-Orca/SlimOrca-Dedup |
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- jondurbin/airoboros-3.2 |
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- microsoft/orca-math-word-problems-200k |
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- m-a-p/Code-Feedback |
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- MaziyarPanahi/WizardLM_evol_instruct_V2_196k |
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- mlabonne/orpo-dpo-mix-40k |
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### Direct Use |
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> |
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Conversational AI. |
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## Evaluations |
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| Tasks |Version| Filter |n-shot| Metric |Value | |Stderr| |
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|---------------------------------|-------|----------------|-----:|-----------|-----:|---|-----:| |
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|truthfulqa_mc2 | 2|none | 0|acc |0.5627|± |0.0154| |
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|gsm8k | 3|strict-match | 5|exact_match|0.5481|± |0.0137| |
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| | |flexible-extract| 5|exact_match|0.5557|± |0.0137| |
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|agieval_nous |N/A |none | 0|acc |0.3763|± |0.0093| |
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| | |none | 0|acc_norm |0.3665|± |0.0093| |
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| - agieval_aqua_rat | 1|none | 0|acc |0.2087|± |0.0255| |
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| | |none | 0|acc_norm |0.2047|± |0.0254| |
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| - agieval_logiqa_en | 1|none | 0|acc |0.3456|± |0.0187| |
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| | |none | 0|acc_norm |0.3594|± |0.0188| |
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| - agieval_lsat_ar | 1|none | 0|acc |0.1826|± |0.0255| |
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| | |none | 0|acc_norm |0.1783|± |0.0253| |
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| - agieval_lsat_lr | 1|none | 0|acc |0.3549|± |0.0212| |
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| | |none | 0|acc_norm |0.3451|± |0.0211| |
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| - agieval_lsat_rc | 1|none | 0|acc |0.5242|± |0.0305| |
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| | |none | 0|acc_norm |0.5130|± |0.0305| |
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| - agieval_sat_en | 1|none | 0|acc |0.6650|± |0.0330| |
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| | |none | 0|acc_norm |0.6505|± |0.0333| |
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| - agieval_sat_en_without_passage| 1|none | 0|acc |0.4175|± |0.0344| |
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| | |none | 0|acc_norm |0.3738|± |0.0338| |
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| - agieval_sat_math | 1|none | 0|acc |0.4227|± |0.0334| |
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| | |none | 0|acc_norm |0.3682|± |0.0326| |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Locutusque__llama-3-neural-chat-v1-8b) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |66.50| |
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|AI2 Reasoning Challenge (25-Shot)|60.84| |
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|HellaSwag (10-Shot) |84.13| |
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|MMLU (5-Shot) |64.69| |
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|TruthfulQA (0-shot) |56.34| |
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|Winogrande (5-shot) |78.22| |
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|GSM8k (5-shot) |54.81| |
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