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README.md

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+---
+base_model: Qwen/Qwen3-Coder-30B-A3B-Instruct
+library_name: llama.cpp
+pipeline_tag: text-generation
+license: apache-2.0
+tags:
+- gguf
+- qwen3-coder
+- coding
+- software-engineering
+- moe
+- q8_0
+- q4_k_m
+- tiny-pickle
+---
+
+# Tiny Pickle v3 Coder — GGUF
+
+Quantized GGUF releases of Tiny Pickle v3 Coder.
+
+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.