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--- |
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language: |
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- en |
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license: apache-2.0 |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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base_model: |
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- Nondzu/Mistral-7B-Instruct-v0.2-code-ft |
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- NousResearch/Nous-Hermes-2-Mistral-7B-DPO |
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- cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser |
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- eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO |
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model-index: |
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- name: Gonzo-Chat-7B |
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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: 65.02 |
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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=Badgids/Gonzo-Chat-7B |
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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: 85.4 |
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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=Badgids/Gonzo-Chat-7B |
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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: 63.75 |
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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=Badgids/Gonzo-Chat-7B |
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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: 60.23 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Badgids/Gonzo-Chat-7B |
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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: 77.74 |
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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=Badgids/Gonzo-Chat-7B |
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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: 47.61 |
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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=Badgids/Gonzo-Chat-7B |
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name: Open LLM Leaderboard |
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--- |
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# Gonzo-Chat-7B |
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Gonzo-Chat-7B is a merged LLM based on Mistral v0.01 with a 8192 Context length that likes to chat, roleplay, work with agents, do some lite programming, and then beat the brakes off you in the back alley... |
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The ***BEST*** Open Source 7B **Street Fighting** LLM of 2024!!! |
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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_Badgids__Gonzo-Chat-7B) |
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| Metric | Value | |
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| --------------------------------- | ----: | |
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| Avg. | 66.63 | |
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| AI2 Reasoning Challenge (25-Shot) | 65.02 | |
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| HellaSwag (10-Shot) | 85.40 | |
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| MMLU (5-Shot) | 63.75 | |
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| TruthfulQA (0-shot) | 60.23 | |
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| Winogrande (5-shot) | 77.74 | |
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| GSM8k (5-shot) | 47.61 | |
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## LLM-Colosseum Results |
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All contestents fought using the same LLM-Colosseum default settings. Each contestant fought 25 rounds with every other contestant. |
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https://github.com/OpenGenerativeAI/llm-colosseum |
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### Gonzo-Chat-7B .vs Mistral v0.2, Dolphon-Mistral v0.2, Deepseek-Coder-6.7b-instruct |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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## Merge Details |
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### Merge Method |
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This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO](https://huggingface.co/eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO) as a base. |
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### Models Merged |
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The following models were included in the merge: |
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* [Nondzu/Mistral-7B-Instruct-v0.2-code-ft](https://huggingface.co/Nondzu/Mistral-7B-Instruct-v0.2-code-ft) |
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* [NousResearch/Nous-Hermes-2-Mistral-7B-DPO](https://huggingface.co/NousResearch/Nous-Hermes-2-Mistral-7B-DPO) |
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* [cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser](https://huggingface.co/cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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models: |
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- model: eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO |
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# No parameters necessary for base model |
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- model: cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser |
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parameters: |
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density: 0.53 |
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weight: 0.4 |
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- model: NousResearch/Nous-Hermes-2-Mistral-7B-DPO |
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parameters: |
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density: 0.53 |
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weight: 0.3 |
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- model: Nondzu/Mistral-7B-Instruct-v0.2-code-ft |
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parameters: |
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density: 0.53 |
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weight: 0.3 |
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merge_method: dare_ties |
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base_model: eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO |
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parameters: |
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int8_mask: true |
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dtype: bfloat16 |
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``` |
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