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XformAI-india/Qwen3-0.6B-coders-gguf
Qwen3-0.6B-coders-gguf is a machine learning model from XformAI-india. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Model: XformAI-india/qwen3-0.6b-coder-gguf Base Model: Qwen-0.6B Fine-Tuned On: Code generation tasks Architecture: Transformer decoder (GPT-style) Parameter Size: 0.6B (~600M) Quantization: GGUF (e.g., Q4KM / Q6K) Co…
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.gguf5.7 GB · 100%
From the Hugging Face model README
Model: XformAI-india/qwen3-0.6b-coder-gguf
Base Model: Qwen-0.6B
Fine-Tuned On: Code generation tasks
Architecture: Transformer decoder (GPT-style)
Parameter Size: 0.6B (~600M)
Quantization: GGUF (e.g., Q4_K_M / Q6_K)
Converted By: XformAI
Date: May 2025
License: Apache 2.0 (inherited from base)
This is the GGUF-converted version of XformAI-india/qwen3-0.6b-coder, optimized for local inference, including:
It is trained for task-oriented code generation, covering Python, Bash, HTML, JavaScript, and small app scaffolding.
| Feature | Value |
|---|---|
| Model Format | GGUF (Q4, Q5, Q6, etc.) |
| Model Type | Decoder-only LLM |
| Base | Qwen 0.5B |
| Fine-Tune Method | LoRA (code-tasks) |
| File Sizes | Q4_K_M: ~460MB / Q6: ~800MB |
| Context Length | 2048 tokens |
| Tokenizer | Compatible with Qwen tokenizer (qwen.tiktoken) |
llama.cpp)# Clone llama.cpp if not already
git clone https://github.com/ggerganov/llama.cpp
cd llama.cpp
make
# Run the model
./main -m qwen-0.6b-coder.Q4_K_M.gguf -p "Write a Python script that creates a zip file from a directory."