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Model: Avtrkrb/SmolLM2-135M-Instruct-bnb-4bit-reasoning
Source: Original Platform

README.md

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+---
+license: apache-2.0
+language:
+  - en
+
+base_model: HuggingFaceTB/SmolLM2-135M-Instruct
+
+library_name: transformers
+
+pipeline_tag: text-generation
+
+tags:
+  - smollm2
+  - reasoning
+  - chain-of-thought
+  - instruct
+  - lora
+  - merged
+
+datasets:
+  - Avtrkrb/combined-reasoning
+---
+
+# SmolLM2-135M-Instruct-Reasoning
+
+A reasoning-focused fine-tune of SmolLM2-135M-Instruct trained using Unsloth on the combined-reasoning dataset.
+
+## Model Overview
+
+This model was created by fine-tuning SmolLM2-135M-Instruct on a reasoning-oriented dataset containing step-by-step solutions and structured problem-solving examples.
+
+The model is intended to:
+
+- Produce detailed reasoning traces
+- Explain intermediate steps
+- Perform multi-step logical reasoning
+- Improve instruction following
+- Generate transparent solutions instead of only final answers
+
+## Base Model
+
+HuggingFaceTB/SmolLM2-135M-Instruct
+
+## Dataset
+
+Avtrkrb/combined-reasoning
+
+## Training Method
+
+- Framework: Unsloth
+- Fine-tuning type: LoRA
+- Task: Supervised Fine-Tuning (SFT)
+
+## Prompt Format
+
+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
+What is 17 × 23?
+<|im_end|>
+
+<|im_start|>assistant
+
+## Example Usage
+
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_id = "Avtrkrb/SmolLM2-135M-Instruct-bnb-4bit-reasoning"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id)
+
+## Intended Use
+
+- Reasoning tasks
+- Educational explanations
+- Problem solving
+- Step-by-step analysis
+
+## Limitations
+
+- Small 135M parameter model
+- Reasoning quality is limited compared to larger models
+- May hallucinate facts
+- Should not be used for high-stakes decisions
+
+## License
+
+Apache 2.0 (inherits base model licensing)