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Infinity-Instruct-7M-Gen-mistral-7B-GGUF

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  ---
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  license: apache-2.0
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: apache-2.0
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+ model_name: Infinity-Instruct-7M-Gen-mistral-7B
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+ base_model: BAAI/Infinity-Instruct-7M-Gen-mistral-7B
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+ inference: false
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+ model_creator: BAAI
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+ quantized_by: Second State Inc.
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+ language:
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+ - en
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  ---
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+
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+ <!-- header start -->
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+ <!-- 200823 -->
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+ <div style="width: auto; margin-left: auto; margin-right: auto">
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+ <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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+ </div>
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+ <hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
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+ <!-- header end -->
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+
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+ # Infinity-Instruct-7M-Gen-mistral-7B-GGUF
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+
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+ ## Original Model
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+
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+ [BAAI/Infinity-Instruct-7M-Gen-mistral-7B](https://huggingface.co/BAAI/Infinity-Instruct-7M-Gen-mistral-7B)
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+
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+ ## Run with LlamaEdge
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+
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+ - LlamaEdge version: [v0.14.0](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.14.0) and above
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+
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+ - Prompt template
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+
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+ - Prompt type: `chatml`
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+
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+ - Prompt string
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+
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+ ```text
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+ <|im_start|>system
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+ {system_message}<|im_end|>
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+ <|im_start|>user
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+ {prompt}<|im_end|>
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+ <|im_start|>assistant
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+ ```
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+
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+ - Reverse prompt: `<|im_end|>`
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+
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+ - Run as LlamaEdge service
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+
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+ ```bash
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+ wasmedge --dir .:. --nn-preload default:GGML:AUTO:Infinity-Instruct-7M-Gen-mistral-7B-Q5_K_M.gguf llama-api-server.wasm -p chatml -r '<|im_end|>'
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+ ```
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+
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+ - Context size: `4096`
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+
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+ - Run as LlamaEdge command app
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+
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+ ```bash
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+ wasmedge --dir .:. --nn-preload default:GGML:AUTO:Infinity-Instruct-7M-Gen-mistral-7B-Q5_K_M.gguf llama-chat.wasm -p chatml -r '<|im_end|>'
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+ ```
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+
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+ ## Quantized GGUF Models
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+
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+ | Name | Quant method | Bits | Size | Use case |
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+ | ---- | ---- | ---- | ---- | ----- |
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+ | [Infinity-Instruct-7M-Gen-mistral-7B-Q2_K.gguf](https://huggingface.co/second-state/Infinity-Instruct-7M-Gen-mistral-7B-GGUF/blob/main/Infinity-Instruct-7M-Gen-mistral-7B-Q2_K.gguf) | Q2_K | 2 | 2.72 GB| smallest, significant quality loss - not recommended for most purposes |
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+ | [Infinity-Instruct-7M-Gen-mistral-7B-Q3_K_L.gguf](https://huggingface.co/second-state/Infinity-Instruct-7M-Gen-mistral-7B-GGUF/blob/main/Infinity-Instruct-7M-Gen-mistral-7B-Q3_K_L.gguf) | Q3_K_L | 3 | 3.82 GB| small, substantial quality loss |
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+ | [Infinity-Instruct-7M-Gen-mistral-7B-Q3_K_M.gguf](https://huggingface.co/second-state/Infinity-Instruct-7M-Gen-mistral-7B-GGUF/blob/main/Infinity-Instruct-7M-Gen-mistral-7B-Q3_K_M.gguf) | Q3_K_M | 3 | 3.52 GB| very small, high quality loss |
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+ | [Infinity-Instruct-7M-Gen-mistral-7B-Q3_K_S.gguf](https://huggingface.co/second-state/Infinity-Instruct-7M-Gen-mistral-7B-GGUF/blob/main/Infinity-Instruct-7M-Gen-mistral-7B-Q3_K_S.gguf) | Q3_K_S | 3 | 3.16 GB| very small, high quality loss |
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+ | [Infinity-Instruct-7M-Gen-mistral-7B-Q4_0.gguf](https://huggingface.co/second-state/Infinity-Instruct-7M-Gen-mistral-7B-GGUF/blob/main/Infinity-Instruct-7M-Gen-mistral-7B-Q4_0.gguf) | Q4_0 | 4 | 4.11 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
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+ | [Infinity-Instruct-7M-Gen-mistral-7B-Q4_K_M.gguf](https://huggingface.co/second-state/Infinity-Instruct-7M-Gen-mistral-7B-GGUF/blob/main/Infinity-Instruct-7M-Gen-mistral-7B-Q4_K_M.gguf) | Q4_K_M | 4 | 4.37 GB| medium, balanced quality - recommended |
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+ | [Infinity-Instruct-7M-Gen-mistral-7B-Q4_K_S.gguf](https://huggingface.co/second-state/Infinity-Instruct-7M-Gen-mistral-7B-GGUF/blob/main/Infinity-Instruct-7M-Gen-mistral-7B-Q4_K_S.gguf) | Q4_K_S | 4 | 4.14 GB| small, greater quality loss |
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+ | [Infinity-Instruct-7M-Gen-mistral-7B-Q5_0.gguf](https://huggingface.co/second-state/Infinity-Instruct-7M-Gen-mistral-7B-GGUF/blob/main/Infinity-Instruct-7M-Gen-mistral-7B-Q5_0.gguf) | Q5_0 | 5 | 5 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
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+ | [Infinity-Instruct-7M-Gen-mistral-7B-Q5_K_M.gguf](https://huggingface.co/second-state/Infinity-Instruct-7M-Gen-mistral-7B-GGUF/blob/main/Infinity-Instruct-7M-Gen-mistral-7B-Q5_K_M.gguf) | Q5_K_M | 5 | 5.13 GB| large, very low quality loss - recommended |
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+ | [Infinity-Instruct-7M-Gen-mistral-7B-Q5_K_S.gguf](https://huggingface.co/second-state/Infinity-Instruct-7M-Gen-mistral-7B-GGUF/blob/main/Infinity-Instruct-7M-Gen-mistral-7B-Q5_K_S.gguf) | Q5_K_S | 5 | 5 GB| large, low quality loss - recommended |
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+ | [Infinity-Instruct-7M-Gen-mistral-7B-Q6_K.gguf](https://huggingface.co/second-state/Infinity-Instruct-7M-Gen-mistral-7B-GGUF/blob/main/Infinity-Instruct-7M-Gen-mistral-7B-Q6_K.gguf) | Q6_K | 6 | 5.94 GB| very large, extremely low quality loss |
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+ | [Infinity-Instruct-7M-Gen-mistral-7B-Q8_0.gguf](https://huggingface.co/second-state/Infinity-Instruct-7M-Gen-mistral-7B-GGUF/blob/main/Infinity-Instruct-7M-Gen-mistral-7B-Q8_0.gguf) | Q8_0 | 8 | 7.7 GB| very large, extremely low quality loss - not recommended |
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+ | [Infinity-Instruct-7M-Gen-mistral-7B-f16.gguf](https://huggingface.co/second-state/Infinity-Instruct-7M-Gen-mistral-7B-GGUF/blob/main/Infinity-Instruct-7M-Gen-mistral-7B-f16.gguf) | f16 | 16 | 14.5 GB| |
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+
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+ *Quantized with llama.cpp b3499.*