Qwill 0.6B IT is an open-source language model by marcuscedricridia. Features: 0.6b LLM, VRAM: 1.2GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.19.
4bit Autotrain compatible Base model:finetune:unsloth/qw... Base model:unsloth/qwen3-0.6b-... Conversational En Endpoints compatible Pytorch Quantized Qwen3 Region:us Safetensors Sft Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/marcuscedricridia/Qwill-0.6b-IT
Qwill 0.6B IT 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)
Qwill 0.6B IT Parameters and Internals
| LLM Name | Qwill 0.6B IT |
| Repository 🤗 | https://huggingface.co/marcuscedricridia/Qwill-0.6b-IT |
| Base Model(s) | |
| Model Size | 0.6b |
| Required VRAM | 1.2 GB |
| Updated | 2025-09-23 |
| Maintainer | marcuscedricridia |
| Model Type | qwen3 |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | Qwen3ForCausalLM |
| License | apache-2.0 |
| Context Length | 40960 |
| Model Max Length | 40960 |
| Transformers Version | 4.51.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|vision_pad|> |
| Vocabulary Size | 151936 |
| Torch Data Type | float16 |
| Errors | replace |
Best Alternatives to Qwill 0.6B IT
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Fizik 0.6B Preview | 40K / 1.2 GB | 9 | 0 |
| Qwen3 0.6B Unsloth Bnb 4bit | 40K / 0.6 GB | 160182 | 24 |
| Qwen3 0.6B 4bit | 40K / 0.3 GB | 20364 | 12 |
| Qwen3 0.6B 8bit | 40K / 0.6 GB | 10467 | 7 |
| Qwen3 0.6B MLX 8bit | 40K / 0.6 GB | 1170 | 5 |
| Qwen3 0.6B GRPO | 40K / 1.2 GB | 14 | 0 |
| ... Model Era Lora 128 Qwen3 0.6B | 40K / 1.2 GB | 5 | 0 |
| Qwen3 0.6B MLX 6bit | 40K / 0.5 GB | 89 | 3 |
| Qwe3 0.6B Acot | 40K / 1.2 GB | 18 | 0 |
| Qwen3 0.6B Acot | 40K / 1.2 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than marcuscedricridia/Qwill-0.6b-IT .
Rank the Qwill 0.6B IT Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a