metadata
license: apache-2.0
model_name: SmolLM-360M-Instruct
base_model: HuggingFaceTB/SmolLM-360M-Instruct
model_creator: HuggingFaceTB
quantized_by: Second State Inc.
library_name: transformers
language:
- en
SmolLM-360M-Instruct
Original Model
HuggingFaceTB/SmolLM-360M-Instruct
Run with LlamaEdge
LlamaEdge version: v0.12.5 and above
Prompt template
Prompt type:
chatml
Prompt string
<|im_start|>system {system_message}<|im_end|> <|im_start|>user {prompt}<|im_end|> <|im_start|>assistant
Context size:
2048
Run as LlamaEdge service
wasmedge --dir .:. --nn-preload default:GGML:AUTO:SmolLM-360M-Instruct-Q5_K_M.gguf \ llama-api-server.wasm \ --prompt-template chatml \ --ctx-size 2048 \ --model-name SmolLM-360M-Instruct
Run as LlamaEdge command app
wasmedge --dir .:. --nn-preload default:GGML:AUTO:SmolLM-360M-Instruct-Q5_K_M.gguf \ llama-chat.wasm \ --prompt-template chatml \ --ctx-size 2048
Quantized GGUF Models
Name | Quant method | Bits | Size | Use case |
---|---|---|---|---|
SmolLM-360M-Instruct-Q2_K.gguf | Q2_K | 2 | 219 MB | smallest, significant quality loss - not recommended for most purposes |
SmolLM-360M-Instruct-Q3_K_L.gguf | Q3_K_L | 3 | 246 MB | small, substantial quality loss |
SmolLM-360M-Instruct-Q3_K_M.gguf | Q3_K_M | 3 | 235 MB | very small, high quality loss |
SmolLM-360M-Instruct-Q3_K_S.gguf | Q3_K_S | 3 | 219 MB | very small, high quality loss |
SmolLM-360M-Instruct-Q4_0.gguf | Q4_0 | 4 | 229 MB | legacy; small, very high quality loss - prefer using Q3_K_M |
SmolLM-360M-Instruct-Q4_K_M.gguf | Q4_K_M | 4 | 271 MB | medium, balanced quality - recommended |
SmolLM-360M-Instruct-Q4_K_S.gguf | Q4_K_S | 4 | 260 MB | small, greater quality loss |
SmolLM-360M-Instruct-Q5_0.gguf | Q5_0 | 5 | 268 MB | legacy; medium, balanced quality - prefer using Q4_K_M |
SmolLM-360M-Instruct-Q5_K_M.gguf | Q5_K_M | 5 | 290 MB | large, very low quality loss - recommended |
SmolLM-360M-Instruct-Q5_K_S.gguf | Q5_K_S | 5 | 283 MB | large, low quality loss - recommended |
SmolLM-360M-Instruct-Q6_K.gguf | Q6_K | 6 | 367 MB | very large, extremely low quality loss |
SmolLM-360M-Instruct-Q8_0.gguf | Q8_0 | 8 | 386 MB | very large, extremely low quality loss - not recommended |
SmolLM-360M-Instruct-f16.gguf | f16 | 16 | 726 MB |
Quantized with llama.cpp b3445.