Tiny Pickle v3 Coder was produced by fine-tuning Qwen/Qwen3-Coder-30B-A3B-Instruct with the LoRA adapter published at vsan/tiny-pickle-v3-coder-LoRA, then merging and converting the resulting model with llama.cpp.

Files

File	Quantization	Approximate size
`tiny-pickle-v3-coder-q8_0.gguf`	Q8_0	31G
`tiny-pickle-v3-coder-q4_k_m.gguf`	Q4_K_M	18G

Q8_0 retains greater numerical fidelity but requires more storage and memory. Q4_K_M is smaller and more practical for local inference.

Run with llama.cpp

bash

llama-cli \
  -m tiny-pickle-v3-coder-q4_k_m.gguf \
  -ngl 99 \
  -c 8192 \
  -p "Write a robust Python LRU cache with unit tests."

Intended use

Code generation
Debugging
Code review
Implementation planning
Test generation
Software-engineering assistance

Limitations

Tiny Pickle v3 Coder is experimental and has not yet been proven superior to its base model on independent benchmarks. Quantization may reduce model quality. Generated code can be incorrect, insecure, incomplete, or non-functional and must be reviewed and tested.

vsan/tiny-pickle-v3-coder-GGUF

Tiny Pickle v3 Coder — GGUF

Files

Run with llama.cpp

Intended use

Limitations

vsan/
tiny-pickle-v3-coder-GGUF