143 lines
6.1 KiB
Markdown
143 lines
6.1 KiB
Markdown
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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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- lazymergekit
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- Locutusque/Hercules-2.5-Mistral-7B
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- openchat/openchat-3.5-0106
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base_model:
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- Locutusque/Hercules-2.5-Mistral-7B
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- openchat/openchat-3.5-0106
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model-index:
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- name: ChatHercules-2.5-Mistral-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: 65.1
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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=hydra-project/ChatHercules-2.5-Mistral-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: 84.61
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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=hydra-project/ChatHercules-2.5-Mistral-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: 65.35
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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=hydra-project/ChatHercules-2.5-Mistral-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: 47.52
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=hydra-project/ChatHercules-2.5-Mistral-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: 81.85
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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=hydra-project/ChatHercules-2.5-Mistral-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: 64.97
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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=hydra-project/ChatHercules-2.5-Mistral-7B
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name: Open LLM Leaderboard
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quantized_by: bartowski
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pipeline_tag: text-generation
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---
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## Llamacpp Quantizations of ChatHercules-2.5-Mistral-7B
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Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2334">b2334</a> for quantization.
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Original model: https://huggingface.co/hydra-project/ChatHercules-2.5-Mistral-7B
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Download a file (not the whole branch) from below:
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| Filename | Quant type | File Size | Description |
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| -------- | ---------- | --------- | ----------- |
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| [ChatHercules-2.5-Mistral-7B-Q8_0.gguf](https://huggingface.co/bartowski/ChatHercules-2.5-Mistral-7B-GGUF/blob/main/ChatHercules-2.5-Mistral-7B-Q8_0.gguf) | Q8_0 | 7.69GB | Extremely high quality, generally unneeded but max available quant. |
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| [ChatHercules-2.5-Mistral-7B-Q6_K.gguf](https://huggingface.co/bartowski/ChatHercules-2.5-Mistral-7B-GGUF/blob/main/ChatHercules-2.5-Mistral-7B-Q6_K.gguf) | Q6_K | 5.94GB | Very high quality, near perfect, *recommended*. |
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| [ChatHercules-2.5-Mistral-7B-Q5_K_M.gguf](https://huggingface.co/bartowski/ChatHercules-2.5-Mistral-7B-GGUF/blob/main/ChatHercules-2.5-Mistral-7B-Q5_K_M.gguf) | Q5_K_M | 5.13GB | High quality, very usable. |
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| [ChatHercules-2.5-Mistral-7B-Q5_K_S.gguf](https://huggingface.co/bartowski/ChatHercules-2.5-Mistral-7B-GGUF/blob/main/ChatHercules-2.5-Mistral-7B-Q5_K_S.gguf) | Q5_K_S | 4.99GB | High quality, very usable. |
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| [ChatHercules-2.5-Mistral-7B-Q5_0.gguf](https://huggingface.co/bartowski/ChatHercules-2.5-Mistral-7B-GGUF/blob/main/ChatHercules-2.5-Mistral-7B-Q5_0.gguf) | Q5_0 | 4.99GB | High quality, older format, generally not recommended. |
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| [ChatHercules-2.5-Mistral-7B-Q4_K_M.gguf](https://huggingface.co/bartowski/ChatHercules-2.5-Mistral-7B-GGUF/blob/main/ChatHercules-2.5-Mistral-7B-Q4_K_M.gguf) | Q4_K_M | 4.36GB | Good quality, similar to 4.25 bpw. |
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| [ChatHercules-2.5-Mistral-7B-Q4_K_S.gguf](https://huggingface.co/bartowski/ChatHercules-2.5-Mistral-7B-GGUF/blob/main/ChatHercules-2.5-Mistral-7B-Q4_K_S.gguf) | Q4_K_S | 4.14GB | Slightly lower quality with small space savings. |
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| [ChatHercules-2.5-Mistral-7B-Q4_0.gguf](https://huggingface.co/bartowski/ChatHercules-2.5-Mistral-7B-GGUF/blob/main/ChatHercules-2.5-Mistral-7B-Q4_0.gguf) | Q4_0 | 4.10GB | Decent quality, older format, generally not recommended. |
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| [ChatHercules-2.5-Mistral-7B-Q3_K_L.gguf](https://huggingface.co/bartowski/ChatHercules-2.5-Mistral-7B-GGUF/blob/main/ChatHercules-2.5-Mistral-7B-Q3_K_L.gguf) | Q3_K_L | 3.82GB | Lower quality but usable, good for low RAM availability. |
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| [ChatHercules-2.5-Mistral-7B-Q3_K_M.gguf](https://huggingface.co/bartowski/ChatHercules-2.5-Mistral-7B-GGUF/blob/main/ChatHercules-2.5-Mistral-7B-Q3_K_M.gguf) | Q3_K_M | 3.51GB | Even lower quality. |
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| [ChatHercules-2.5-Mistral-7B-Q3_K_S.gguf](https://huggingface.co/bartowski/ChatHercules-2.5-Mistral-7B-GGUF/blob/main/ChatHercules-2.5-Mistral-7B-Q3_K_S.gguf) | Q3_K_S | 3.16GB | Low quality, not recommended. |
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| [ChatHercules-2.5-Mistral-7B-Q2_K.gguf](https://huggingface.co/bartowski/ChatHercules-2.5-Mistral-7B-GGUF/blob/main/ChatHercules-2.5-Mistral-7B-Q2_K.gguf) | Q2_K | 2.71GB | Extremely low quality, *not* recommended.
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Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski
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