Qwen3 0.6B Instruction Finetuned V2 is an open-source language model by andresnowak. Features: 0.6b LLM, VRAM: 1.2GB, Context: 32K, Fine-Tuned, Instruction-Based, LLM Explorer Score: 0.2.
| LLM Name | Qwen3 0.6B Instruction Finetuned V2 |
| Repository 🤗 | https://huggingface.co/andresnowak/Qwen3-0.6B-instruction-finetuned_v2 |
| Model Name | Qwen3-0.6B-instruction-finetuned_v2 |
| Base Model(s) | |
| Model Size | 0.6b |
| Required VRAM | 1.2 GB |
| Updated | 2026-03-17 |
| Maintainer | andresnowak |
| Model Type | qwen3 |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Qwen3ForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.52.4 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|vision_pad|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Luth 0.6B Instruct | 40K / 1.2 GB | 114 | 9 |
| ...en3 0.6B Instruction Finetuned | 32K / 1.2 GB | 84 | 0 |
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