lainlives/qwen3-coder-30b-a3b-instruct_pruned_reap-15b-a3b-safetensors-q4_k_m-gguf Q4_K_M GGUF - Free GGUF Download is indexed on GraySoft with repository links, GGUF quant files, and Hugging Face metadata. This page helps you pick a local model for guIDE or other runtimes. See related models in the same shard below.
Model Intelligence Sheet
lainlives/qwen3-coder-30b-a3b-instruct_pruned_reap-15b-a3b-safetensors-q4_k_m-gguf overview
This model was converted to GGUF format from 12bitmisfit/Qwen3-Coder-30B-A3B-InstructPrunedREAP-15B-A3B-SafeTensors using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.
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| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| qwen3-coder-30b-a3b-instruct_pruned_reap-15b-a3b-safetensors-q4_k_m.gguf | GGUF | Q4_K_M | 9.08 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
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"metadata": {},
"card_data": {
"base_model": "12bitmisfit/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors",
"tags": [
"llama-cpp",
"gguf-my-repo"
],
"frontmatter": {
"base_model": "12bitmisfit/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors",
"tags": [
"llama-cpp",
"gguf-my-repo"
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"hero_image_url": "",
"summary": "This model was converted to GGUF format from 12bitmisfit/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: 12bitmisfit/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors\ntags:\n- llama-cpp\n- gguf-my-repo\n---\n\n# lainlives/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors-Q4_K_M-GGUF\nThis model was converted to GGUF format from [`12bitmisfit/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors`](https://huggingface.co/12bitmisfit/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.\nRefer to the [original model card](https://huggingface.co/12bitmisfit/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors) for more details on the model.\n\n## Use with llama.cpp\nInstall llama.cpp through brew (works on Mac and Linux)\n\n```bash\nbrew install llama.cpp\n\n```\nInvoke the llama.cpp server or the CLI.\n\n### CLI:\n```bash\nllama-cli --hf-repo lainlives/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors-Q4_K_M-GGUF --hf-file qwen3-coder-30b-a3b-instruct_pruned_reap-15b-a3b-safetensors-q4_k_m.gguf -p \"The meaning to life and the universe is\"\n```\n\n### Server:\n```bash\nllama-server --hf-repo lainlives/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors-Q4_K_M-GGUF --hf-file qwen3-coder-30b-a3b-instruct_pruned_reap-15b-a3b-safetensors-q4_k_m.gguf -c 2048\n```\n\nNote: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.\n\nStep 1: Clone llama.cpp from GitHub.\n```\ngit clone https://github.com/ggerganov/llama.cpp\n```\n\nStep 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).\n```\ncd llama.cpp && LLAMA_CURL=1 make\n```\n\nStep 3: Run inference through the main binary.\n```\n./llama-cli --hf-repo lainlives/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors-Q4_K_M-GGUF --hf-file qwen3-coder-30b-a3b-instruct_pruned_reap-15b-a3b-safetensors-q4_k_m.gguf -p \"The meaning to life and the universe is\"\n```\nor \n```\n./llama-server --hf-repo lainlives/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors-Q4_K_M-GGUF --hf-file qwen3-coder-30b-a3b-instruct_pruned_reap-15b-a3b-safetensors-q4_k_m.gguf -c 2048\n```\n",
"related_quantizations": []
},
"tags": [
"gguf",
"llama-cpp",
"gguf-my-repo",
"base_model:12bitmisfit/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors",
"base_model:quantized:12bitmisfit/Qwen3-Coder-30B-A3B-Instruct_Pruned_REAP-15B-A3B-SafeTensors",
"endpoints_compatible",
"region:us"
],
"likes": 1,
"downloads": 159,
"gated": false,
"private": false,
"last_modified": "2026-01-31T22:49:36.000Z",
"created_at": "2026-01-31T22:48:06.000Z",
"pipeline_tag": "",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
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