metadata
base_model: amazon/MistralLite
inference: false
license: apache-2.0
model_creator: Amazon Web Services
model_name: MistralLite 7B
model_type: mistral
quantized_by: Second State Inc.
MistralLite-7B-GGUF
Original Model
Run with LlamaEdge
LlamaEdge version: v0.2.8 and above
Prompt template
Prompt type:
mistrallitePrompt string
<|prompter|>{prompt}</s><|assistant|>Reverse prompt:
</s>
Run as LlamaEdge service
wasmedge --dir .:. --nn-preload default:GGML:AUTO:MistralLite-Q5_K_M.gguf llama-api-server.wasm -p mistrallite -r '</s>'Run as LlamaEdge command app
wasmedge --dir .:. --nn-preload default:GGML:AUTO:MistralLite-Q5_K_M.gguf llama-chat.wasm -p mistrallite -r '</s>'
Quantized GGUF Models
| Name | Quant method | Bits | Size | Use case |
|---|---|---|---|---|
| MistralLite-Q2_K.gguf | Q2_K | 2 | 2.7 GB | smallest, significant quality loss - not recommended for most purposes |
| MistralLite-Q3_K_L.gguf | Q3_K_L | 3 | 3.82 GB | small, substantial quality loss |
| MistralLite-Q3_K_M.gguf | Q3_K_M | 3 | 3.52 GB | very small, high quality loss |
| MistralLite-Q3_K_S.gguf | Q3_K_S | 3 | 3.16 GB | very small, high quality loss |
| MistralLite-Q4_0.gguf | Q4_0 | 4 | 4.11 GB | legacy; small, very high quality loss - prefer using Q3_K_M |
| MistralLite-Q4_K_M.gguf | Q4_K_M | 4 | 4.37 GB | medium, balanced quality - recommended |
| MistralLite-Q4_K_S.gguf | Q4_K_S | 4 | 4.14 GB | small, greater quality loss |
| MistralLite-Q5_0.gguf | Q5_0 | 5 | 5.00 GB | legacy; medium, balanced quality - prefer using Q4_K_M |
| MistralLite-Q5_K_M.gguf | Q5_K_M | 5 | 5.13 GB | large, very low quality loss - recommended |
| MistralLite-Q5_K_S.gguf | Q5_K_S | 5 | 5.00 GB | large, low quality loss - recommended |
| MistralLite-Q6_K.gguf | Q6_K | 6 | 5.94 GB | very large, extremely low quality loss |
| MistralLite-Q8_0.gguf | Q8_0 | 8 | 7.70 GB | very large, extremely low quality loss - not recommended |