1.4 KiB
1.4 KiB
license, language, pipeline_tag, base_model, tags
| license | language | pipeline_tag | base_model | tags | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| apache-2.0 |
|
text-generation | Avtrkrb/SmolLM2-135M-Instruct-bnb-4bit-reasoning |
|
SmolLM2-135M-Instruct-Reasoning-GGUF
GGUF conversions of:
Avtrkrb/SmolLM2-135M-Instruct-bnb-4bit-reasoning
Available Quantizations
| Quantization | Recommended Use |
|---|---|
| Q4_0 | Same as Q4_K_M |
| Q4_K_M | Best balance of quality and size |
| Q5_K_M | Better quality |
| Q6_K | Better quaity smaller than Q8_0 |
| Q8_0 | Highest quality quantized version |
Chat Template
This model uses the standard SmolLM2 chat template.
<|im_start|>system You are a helpful AI assistant named SmolLM, trained by Hugging Face <|im_end|>
<|im_start|>user Hello <|im_end|>
<|im_start|>assistant
Ollama Example
FROM ./SmolLM2-135M-Instruct-bnb-4bit-reasoning-Q4_K_M.gguf
TEMPLATE """ {{ .Prompt }} """
llama.cpp Example
./llama-cli -m SmolLM2-135M-Instruct-bnb-4bit-reasoning-Q4_K_M.gguf
Notes
When using GGUF versions, ensure the same chat template used during training is applied during inference. Incorrect templates can significantly reduce model quality.
Source Model
Avtrkrb/SmolLM2-135M-Instruct-bnb-4bit-reasoning