Hugging Face's logo

second-state
/
SmolLM-135M-Instruct-GGUF

Text Generation
Transformers
GGUF
English
llama
Inference Endpoints
conversational
Model card Files Community
SmolLM-135M-Instruct-GGUF / README.md
apepkuss79's picture
apepkuss79
Update README.md
0787dd8 verified
preview code
|
raw
history blame
4.7 kB
metadata
license: apache-2.0
model_name: SmolLM-135M-Instruct
base_model: HuggingFaceTB/SmolLM-135M-Instruct
model_creator: HuggingFaceTB
quantized_by: Second State Inc.
library_name: transformers
language:
  - en

SmolLM-135M-Instruct

Original Model

HuggingFaceTB/SmolLM-135M-Instruct

Run with LlamaEdge

  • LlamaEdge version: coming soon
  • Context size: 2048

Quantized GGUF Models

Name Quant method Bits Size Use case
SmolLM-135M-Instruct-Q2_K.gguf Q2_K 2 88.2 MB smallest, significant quality loss - not recommended for most purposes
SmolLM-135M-Instruct-Q3_K_L.gguf Q3_K_L 3 97.5 MB small, substantial quality loss
SmolLM-135M-Instruct-Q3_K_M.gguf Q3_K_M 3 93.5 MB very small, high quality loss
SmolLM-135M-Instruct-Q3_K_S.gguf Q3_K_S 3 88.2 MB very small, high quality loss
SmolLM-135M-Instruct-Q4_0.gguf Q4_0 4 91.7 MB legacy; small, very high quality loss - prefer using Q3_K_M
SmolLM-135M-Instruct-Q4_K_M.gguf Q4_K_M 4 105 MB medium, balanced quality - recommended
SmolLM-135M-Instruct-Q4_K_S.gguf Q4_K_S 4 102 MB small, greater quality loss
SmolLM-135M-Instruct-Q5_0.gguf Q5_0 5 105 MB legacy; medium, balanced quality - prefer using Q4_K_M
SmolLM-135M-Instruct-Q5_K_M.gguf Q5_K_M 5 112 MB large, very low quality loss - recommended
SmolLM-135M-Instruct-Q5_K_S.gguf Q5_K_S 5 110 MB large, low quality loss - recommended
SmolLM-135M-Instruct-Q6_K.gguf Q6_K 6 138 MB very large, extremely low quality loss
SmolLM-135M-Instruct-Q8_0.gguf Q8_0 8 145 MB very large, extremely low quality loss - not recommended
SmolLM-135M-Instruct-f16.gguf f16 16 271 MB

Quantized with llama.cpp b3445.