Autotrain compatible Base model:finetune:unsloth/qw... Base model:unsloth/qwen3-0.6b-... Dataset:andresnowak/instructio... En Endpoints compatible Finetuned Generated from trainer Instruct Qwen3 Region:us Safetensors Sft Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/andresnowak/Qwen3-0.6B-instruction-finetuned
Qwen3 0.6B Instruction Finetuned 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)
Qwen3 0.6B Instruction Finetuned Parameters and Internals
| LLM Name | Qwen3 0.6B Instruction Finetuned |
| Repository 🤗 | https://huggingface.co/andresnowak/Qwen3-0.6B-instruction-finetuned |
| Model Name | Qwen3-0.6B-instruction-finetuned |
| Base Model(s) | |
| Model Size | 0.6b |
| Required VRAM | 1.2 GB |
| Updated | 2025-10-02 |
| Maintainer | andresnowak |
| Model Type | qwen3 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Qwen3ForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.51.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|vision_pad|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Qwen3 0.6B Instruction Finetuned
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Luth 0.6B Instruct | 40K / 1.2 GB | 222 | 9 |
| ... 0.6B Instruction Finetuned V2 | 32K / 1.2 GB | 11 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than andresnowak/Qwen3-0.6B-instruction-finetuned .
Rank the Qwen3 0.6B Instruction Finetuned Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124