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SmolLM-360M-Instruct-GGUF

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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: coming soon
  • Context 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.