RStar Coder Qwen3 0.6B is an open-source language model by prithivMLmods. Features: 0.6b LLM, VRAM: 1.2GB, Context: 40K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.21.
Arxiv:2309.00071 Arxiv:2412.15115 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-0.6b Chain-of-thought Code Codegen Coder Conversational Core Dataset:microsoft/rstar-coder En Endpoints compatible Gspo Math Python Qwen3 Region:us Safetensors Trl
Model Card on HF 🤗: https://huggingface.co/prithivMLmods/rStar-Coder-Qwen3-0.6B
RStar Coder Qwen3 0.6B Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
RStar Coder Qwen3 0.6B Parameters and Internals
| LLM Name | RStar Coder Qwen3 0.6B |
| Repository 🤗 | https://huggingface.co/prithivMLmods/rStar-Coder-Qwen3-0.6B |
| Base Model(s) | |
| Model Size | 0.6b |
| Required VRAM | 1.2 GB |
| Updated | 2026-03-31 |
| Maintainer | prithivMLmods |
| Model Type | qwen3 |
| Model Files | |
| Supported Languages | en |
| Generates Code | Yes |
| Model Architecture | Qwen3ForCausalLM |
| License | apache-2.0 |
| Context Length | 40960 |
| Model Max Length | 40960 |
| Transformers Version | 4.54.0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|vision_pad|> |
| Vocabulary Size | 151936 |
| Torch Data Type | float16 |
| Errors | replace |
Best Alternatives to RStar Coder Qwen3 0.6B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...3 Zero Coder Reasoning V2.0.8B | 40K / 1.6 GB | 136 | 2 |
| ...wen3 Zero Coder Reasoning 0.8B | 40K / 1.6 GB | 13 | 3 |
Rank the RStar Coder Qwen3 0.6B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a