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Signed-off-by: Xin Liu <sam@secondstate.io>

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- # MistralLite-7B
 
 
 
 
 
 
 
 
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- ## Prompt Template
 
 
 
 
 
 
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- ```text
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- <|prompter|>{prompt}</s><|assistant|>
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ base_model: amazon/MistralLite
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+ inference: false
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+ license: apache-2.0
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+ model_creator: Amazon Web Services
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+ model_name: MistralLite 7B
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+ model_type: mistral
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+ quantized_by: Second State Inc.
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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/second-state/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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+ # MistralLite-7B-GGUF
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+
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+ ## Original Model
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+
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+ [amazon/MistralLite](https://huggingface.co/amazon/MistralLite)
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+
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+ ## Run with LlamaEdge
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+
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+ - LlamaEdge version: [v0.2.4](https://github.com/second-state/LlamaEdge/releases/tag/0.2.4)
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+
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+ - Prompt template
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+
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+ - Prompt type: `mistrallite`
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+
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+ - Prompt string
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+
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+ ```text
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+ <|prompter|>{prompt}</s><|assistant|>
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+ ```
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+
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+ - Reverse prompt: `</s>`
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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:mistrallite.Q5_K_M.gguf llama-api-server.wasm -p mistrallite -r '</s>'
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+ ```
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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:mistrallite.Q5_K_M.gguf llama-chat.wasm -p mistrallite -r '</s>'
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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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+ | [MistralLite-Q2_K.gguf](https://huggingface.co/second-state/MistralLite-7B-GGUF/blob/main/MistralLite-Q2_K.gguf) | Q2_K | 2 | 2.7 GB| smallest, significant quality loss - not recommended for most purposes |
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+ | [MistralLite-Q3_K_L.gguf](https://huggingface.co/second-state/MistralLite-7B-GGUF/blob/main/MistralLite-Q3_K_L.gguf) | Q3_K_L | 3 | 3.82 GB| small, substantial quality loss |
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+ | [MistralLite-Q3_K_M.gguf](https://huggingface.co/second-state/MistralLite-7B-GGUF/blob/main/MistralLite-Q3_K_M.gguf) | Q3_K_M | 3 | 3.52 GB| very small, high quality loss |
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+ | [MistralLite-Q3_K_S.gguf](https://huggingface.co/second-state/MistralLite-7B-GGUF/blob/main/MistralLite-Q3_K_S.gguf) | Q3_K_S | 3 | 3.16 GB| very small, high quality loss |
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+ | [MistralLite-Q4_0.gguf](https://huggingface.co/second-state/MistralLite-7B-GGUF/blob/main/MistralLite-Q4_0.gguf) | Q4_0 | 4 | 4.11 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
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+ | [MistralLite-Q4_K_M.gguf](https://huggingface.co/second-state/MistralLite-7B-GGUF/blob/main/MistralLite-Q4_K_M.gguf) | Q4_K_M | 4 | 4.37 GB| medium, balanced quality - recommended |
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+ | [MistralLite-Q4_K_S.gguf](https://huggingface.co/second-state/MistralLite-7B-GGUF/blob/main/MistralLite-Q4_K_S.gguf) | Q4_K_S | 4 | 4.14 GB| small, greater quality loss |
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+ | [MistralLite-Q5_0.gguf](https://huggingface.co/second-state/MistralLite-7B-GGUF/blob/main/MistralLite-Q5_0.gguf) | Q5_0 | 5 | 5.00 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
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+ | [MistralLite-Q5_K_M.gguf](https://huggingface.co/second-state/MistralLite-7B-GGUF/blob/main/MistralLite-Q5_K_M.gguf) | Q5_K_M | 5 | 5.13 GB| large, very low quality loss - recommended |
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+ | [MistralLite-Q5_K_S.gguf](https://huggingface.co/second-state/MistralLite-7B-GGUF/blob/main/MistralLite-Q5_K_S.gguf) | Q5_K_S | 5 | 5.00 GB| large, low quality loss - recommended |
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+ | [MistralLite-Q6_K.gguf](https://huggingface.co/second-state/MistralLite-7B-GGUF/blob/main/MistralLite-Q6_K.gguf) | Q6_K | 6 | 5.94 GB| very large, extremely low quality loss |
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+ | [MistralLite-Q8_0.gguf](https://huggingface.co/second-state/MistralLite-7B-GGUF/blob/main/MistralLite-Q8_0.gguf) | Q8_0 | 8 | 7.70 GB| very large, extremely low quality loss - not recommended |