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Quantization made by Richard Erkhov. |
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[Github](https://github.com/RichardErkhov) |
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[Discord](https://discord.gg/pvy7H8DZMG) |
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[Request more models](https://github.com/RichardErkhov/quant_request) |
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RolePlayLake-7B - GGUF |
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- Model creator: https://huggingface.co/fhai50032/ |
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- Original model: https://huggingface.co/fhai50032/RolePlayLake-7B/ |
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| Name | Quant method | Size | |
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| ---- | ---- | ---- | |
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| [RolePlayLake-7B.Q2_K.gguf](https://huggingface.co/RichardErkhov/fhai50032_-_RolePlayLake-7B-gguf/blob/main/RolePlayLake-7B.Q2_K.gguf) | Q2_K | 2.53GB | |
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| [RolePlayLake-7B.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/fhai50032_-_RolePlayLake-7B-gguf/blob/main/RolePlayLake-7B.IQ3_XS.gguf) | IQ3_XS | 2.81GB | |
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| [RolePlayLake-7B.IQ3_S.gguf](https://huggingface.co/RichardErkhov/fhai50032_-_RolePlayLake-7B-gguf/blob/main/RolePlayLake-7B.IQ3_S.gguf) | IQ3_S | 2.96GB | |
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| [RolePlayLake-7B.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/fhai50032_-_RolePlayLake-7B-gguf/blob/main/RolePlayLake-7B.Q3_K_S.gguf) | Q3_K_S | 2.95GB | |
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| [RolePlayLake-7B.IQ3_M.gguf](https://huggingface.co/RichardErkhov/fhai50032_-_RolePlayLake-7B-gguf/blob/main/RolePlayLake-7B.IQ3_M.gguf) | IQ3_M | 3.06GB | |
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| [RolePlayLake-7B.Q3_K.gguf](https://huggingface.co/RichardErkhov/fhai50032_-_RolePlayLake-7B-gguf/blob/main/RolePlayLake-7B.Q3_K.gguf) | Q3_K | 3.28GB | |
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| [RolePlayLake-7B.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/fhai50032_-_RolePlayLake-7B-gguf/blob/main/RolePlayLake-7B.Q3_K_M.gguf) | Q3_K_M | 3.28GB | |
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| [RolePlayLake-7B.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/fhai50032_-_RolePlayLake-7B-gguf/blob/main/RolePlayLake-7B.Q3_K_L.gguf) | Q3_K_L | 3.56GB | |
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| [RolePlayLake-7B.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/fhai50032_-_RolePlayLake-7B-gguf/blob/main/RolePlayLake-7B.IQ4_XS.gguf) | IQ4_XS | 3.67GB | |
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| [RolePlayLake-7B.Q4_0.gguf](https://huggingface.co/RichardErkhov/fhai50032_-_RolePlayLake-7B-gguf/blob/main/RolePlayLake-7B.Q4_0.gguf) | Q4_0 | 3.83GB | |
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| [RolePlayLake-7B.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/fhai50032_-_RolePlayLake-7B-gguf/blob/main/RolePlayLake-7B.IQ4_NL.gguf) | IQ4_NL | 3.87GB | |
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| [RolePlayLake-7B.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/fhai50032_-_RolePlayLake-7B-gguf/blob/main/RolePlayLake-7B.Q4_K_S.gguf) | Q4_K_S | 3.86GB | |
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| [RolePlayLake-7B.Q4_K.gguf](https://huggingface.co/RichardErkhov/fhai50032_-_RolePlayLake-7B-gguf/blob/main/RolePlayLake-7B.Q4_K.gguf) | Q4_K | 4.07GB | |
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| [RolePlayLake-7B.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/fhai50032_-_RolePlayLake-7B-gguf/blob/main/RolePlayLake-7B.Q4_K_M.gguf) | Q4_K_M | 4.07GB | |
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| [RolePlayLake-7B.Q4_1.gguf](https://huggingface.co/RichardErkhov/fhai50032_-_RolePlayLake-7B-gguf/blob/main/RolePlayLake-7B.Q4_1.gguf) | Q4_1 | 4.24GB | |
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| [RolePlayLake-7B.Q5_0.gguf](https://huggingface.co/RichardErkhov/fhai50032_-_RolePlayLake-7B-gguf/blob/main/RolePlayLake-7B.Q5_0.gguf) | Q5_0 | 4.65GB | |
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| [RolePlayLake-7B.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/fhai50032_-_RolePlayLake-7B-gguf/blob/main/RolePlayLake-7B.Q5_K_S.gguf) | Q5_K_S | 4.65GB | |
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| [RolePlayLake-7B.Q5_K.gguf](https://huggingface.co/RichardErkhov/fhai50032_-_RolePlayLake-7B-gguf/blob/main/RolePlayLake-7B.Q5_K.gguf) | Q5_K | 4.78GB | |
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| [RolePlayLake-7B.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/fhai50032_-_RolePlayLake-7B-gguf/blob/main/RolePlayLake-7B.Q5_K_M.gguf) | Q5_K_M | 4.78GB | |
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| [RolePlayLake-7B.Q5_1.gguf](https://huggingface.co/RichardErkhov/fhai50032_-_RolePlayLake-7B-gguf/blob/main/RolePlayLake-7B.Q5_1.gguf) | Q5_1 | 5.07GB | |
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| [RolePlayLake-7B.Q6_K.gguf](https://huggingface.co/RichardErkhov/fhai50032_-_RolePlayLake-7B-gguf/blob/main/RolePlayLake-7B.Q6_K.gguf) | Q6_K | 5.53GB | |
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| [RolePlayLake-7B.Q8_0.gguf](https://huggingface.co/RichardErkhov/fhai50032_-_RolePlayLake-7B-gguf/blob/main/RolePlayLake-7B.Q8_0.gguf) | Q8_0 | 7.17GB | |
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Original model description: |
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--- |
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license: apache-2.0 |
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tags: |
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- merge |
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- mergekit |
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- mistral |
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- SanjiWatsuki/Silicon-Maid-7B |
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- senseable/WestLake-7B-v2 |
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base_model: |
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- SanjiWatsuki/Silicon-Maid-7B |
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- senseable/WestLake-7B-v2 |
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model-index: |
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- name: RolePlayLake-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: 70.56 |
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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=fhai50032/RolePlayLake-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: 87.42 |
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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=fhai50032/RolePlayLake-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: 64.55 |
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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=fhai50032/RolePlayLake-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: 64.38 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=fhai50032/RolePlayLake-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: 83.27 |
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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=fhai50032/RolePlayLake-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: 65.05 |
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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=fhai50032/RolePlayLake-7B |
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name: Open LLM Leaderboard |
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--- |
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# RolePlayLake-7B |
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RolePlayLake-7B is a merge of the following models : |
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* [SanjiWatsuki/Silicon-Maid-7B](https://huggingface.co/SanjiWatsuki/Silicon-Maid-7B) |
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* [senseable/WestLake-7B-v2](https://huggingface.co/senseable/WestLake-7B-v2) |
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`In my current testing RolePlayLake is Better than Silicon_Maid in RP and More Uncensored Than WestLake` |
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`I would try to only merge Uncensored Models with Baising towards Chat rather than Instruct ` |
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## 🧩 Configuration |
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```yaml |
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slices: |
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- sources: |
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- model: SanjiWatsuki/Silicon-Maid-7B |
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layer_range: [0, 32] |
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- model: senseable/WestLake-7B-v2 |
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layer_range: [0, 32] |
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merge_method: slerp |
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base_model: senseable/WestLake-7B-v2 |
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parameters: |
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t: |
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- filter: self_attn |
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value: [0, 0.5, 0.3, 0.7, 1] |
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- filter: mlp |
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value: [1, 0.5, 0.7, 0.3, 0] |
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- value: 0.5 |
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dtype: bfloat16 |
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``` |
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## 💻 Usage |
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```python |
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!pip install -qU transformers accelerate |
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from transformers import AutoTokenizer |
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import transformers |
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import torch |
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model = "fhai50032/RolePlayLake-7B" |
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messages = [{"role": "user", "content": "What is a large language model?"}] |
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tokenizer = AutoTokenizer.from_pretrained(model) |
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) |
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pipeline = transformers.pipeline( |
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"text-generation", |
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model=model, |
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torch_dtype=torch.float16, |
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device_map="auto", |
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) |
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95) |
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print(outputs[0]["generated_text"]) |
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``` |
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# Why I Merged WestLake and Silicon Maid |
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Merged WestLake and Silicon Maid for a unique blend: |
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1. **EQ-Bench Dominance:** WestLake's 79.75 EQ-Bench score. (Maybe Contaminated) |
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2. **Charm and Role-Play:** Silicon's explicit charm and WestLake's role-play prowess. |
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3. **Config Synergy:** Supports lots of prompt format out of the gate and has a very nice synergy |
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Result: RolePlayLake-7B, a linguistic fusion with EQ-Bench supremacy and captivating role-play potential. |
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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_fhai50032__RolePlayLake-7B) |
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| Metric |Value| |
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|Avg. |72.54| |
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|AI2 Reasoning Challenge (25-Shot)|70.56| |
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|HellaSwag (10-Shot) |87.42| |
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|MMLU (5-Shot) |64.55| |
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|TruthfulQA (0-shot) |64.38| |
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|Winogrande (5-shot) |83.27| |
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|GSM8k (5-shot) |65.05| |
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