GraySoft
Projects Models Compare Cloud benchmarks FAQ Download guIDE →
Model Intelligence Sheet

Ma7ee7/SmolLM2-135M-Reasoning-5K-GGUF overview

SmolLM2 135M Reasoning 5K — Q4 K M GGUF A llama.cpp compatible Q4 K M quantization of the SmolLM2 135M Reasoning 5K model. File | File | Quantization | Size | …

ggufsmollm2reasoningllama-cppq4_k_mquantizedtext-generationbase_model:Ma7ee7/SmolLM2-135M-Reasoning-5Kbase_model:quantized:Ma7ee7/SmolLM2-135M-Reasoning-5Klicense:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~100.6 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
149
Likes
0
Pipeline
text-generation
Author

Repository Files & Downloads

1 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
SmolLM2-135M-Reasoning-5K-Q4_K_M.ggufGGUFQ4_K_M100.6 MBDownload

Model Details

Model IDMa7ee7/SmolLM2-135M-Reasoning-5K-GGUF
AuthorMa7ee7
Pipelinetext-generation
Licenseapache-2.0
Base modelMa7ee7/SmolLM2-135M-Reasoning-5K
Last modified2026-07-17T22:03:53.000Z

Model README

---

base_model: Ma7ee7/SmolLM2-135M-Reasoning-5K

library_name: gguf

pipeline_tag: text-generation

license: apache-2.0

tags:

  • smollm2
  • reasoning
  • gguf
  • llama-cpp
  • q4_k_m
  • quantized

---

SmolLM2-135M Reasoning-5K — Q4_K_M GGUF

A llama.cpp-compatible Q4_K_M quantization of the SmolLM2-135M

Reasoning-5K model.

File

| File | Quantization | Size | SHA-256 |

|---|---:|---:|---|

| SmolLM2-135M-Reasoning-5K-Q4_K_M.gguf | Q4_K_M | 100.57 MiB | 631275f62e409ea85f171c84e50e19eb6df5316041159ef221f70ef346db40bc |

Run with llama.cpp

llama-cli -m SmolLM2-135M-Reasoning-5K-Q4_K_M.gguf -cnv

For GPU layer offloading, add an appropriate -ngl value for your system.

Source

  • Fine-tuned model: Ma7ee7/SmolLM2-135M-Reasoning-5K
  • Original base model: HuggingFaceTB/SmolLM2-135M-Instruct
  • Training dataset: SupraLabs/reasoning-corpus-4K-5M-v1
  • Fine-tuning examples: 5,000
  • Reasoning format: <think>...</think> followed by the final answer

Notes

This repository contains the quantized GGUF build, not the full-precision

Transformers checkpoint. Use the source model repository for continued training

or standard Transformers inference.

License

The model follows the Apache 2.0 license used by the base SmolLM2 model. Review

the base model and dataset repositories for their complete terms.

Run Ma7ee7/SmolLM2-135M-Reasoning-5K-GGUF with guIDE

Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.

Download guIDE → · Browse 524k+ models · Compare models

Source: Hugging Face · Compare models