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Qwen3-Coder-30B-A3B-Instruct-GGUF
backpack-run/Qwen3-Coder-30B-A3B-Instruct-GGUF
Qwen3-Coder-30B-A3B-Instruct-GGUF is a machine learning model from backpack-run. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for gguf. The card lists the license as apache-2.0.
GGUF quantizations of Qwen/Qwen3-Coder-30B-A3B-Instruct, tested for llama.cpp-compatible text inference and packaged for Backpack.
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Repo size
72.8 GB
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4
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Repo makeup
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.gguf72.8 GB · 100%
At a glance
- Library
- gguf
- License
- apache-2.0
- Access
- Public
- Created
- Aug 31, 2026
- Updated
- Sep 4, 2026
- SHA
- 54366ea2
Base models
Model card
From the Hugging Face model README
Qwen3-Coder-30B-A3B-Instruct — Backpack GGUF
GGUF quantizations of Qwen/Qwen3-Coder-30B-A3B-Instruct, tested for llama.cpp-compatible text inference and packaged for Backpack.
Model
| Property | Value |
|---|---|
| Original model | Qwen/Qwen3-Coder-30B-A3B-Instruct |
| Original publisher | Qwen |
| Upstream revision | b2cff646eb4bb1d68355c01b18ae02e7cf42d120 |
| Architecture | Qwen3MoeForCausalLM |
| Parameters | 30,532,122,624 |
| Context length | 262,144 |
| Input modalities | text |
| Output modalities | text |
| License | apache-2.0 |
Available packages
| Quantization | Size | Approx. RAM | Recommended for |
|---|---|---|---|
| Q4_K_M | 17.3 GiB | 26.05 GB | Most users |
| Q5_K_M | 20.2 GiB | 30.33 GB | Higher quality |
| Q8_0 | 30.3 GiB | 44.85 GB | Plenty of memory |
Memory values are estimates, not guarantees. Runtime configuration and context length change actual use.
Backpack recommendation
Recommended: Q4_K_M. It usually offers a practical quality, size, and speed balance for local inference.
Run with llama.cpp
Using the llama.cpp revision recorded below:
llama-completion --model Qwen3-Coder-30B-A3B-Instruct-Q4_K_M.gguf -cnv
Run with Backpack
These artifacts and backpack-model.yaml are prepared for the Backpack AI workspace.
Validation
| Package | Integrity | Load | Inference | Tokenizer |
|---|---|---|---|---|
| Q4_K_M | passed | passed | passed | passed |
| Q5_K_M | passed | passed | passed | passed |
| Q8_0 | passed | passed | passed | passed |
Capability qualification: code
Tested with Qwen3-Coder-30B-A3B-Instruct-Q4_K_M.gguf. These are deterministic smoke tests, not benchmark scores.
| Capability | Status |
|---|---|
| chat | passed |
| code_generation | passed |
| structured_tool_arguments | passed |
| tool_calling | passed |
| multi_turn_tool_loop | passed |
-
Packaged: 2026-08-30T21:24:08.172221+00:00
-
llama.cpp revision:
bdf3955159d7184f44b76091973eeff532890a35 -
SHA-256 checksums: see
checksums.sha256 -
Qwen3-Coder-30B-A3B-Instruct-Q4_K_M.gguf:5f27bd8085b01b078454eb13e17d0c07cdd2d346f7033713a55d6c2c05c84c43 -
Qwen3-Coder-30B-A3B-Instruct-Q5_K_M.gguf:7249b80c81e43dbbaeb7a68480577b0cf7360b751dd2392ad15039f0a46ee4b9 -
Qwen3-Coder-30B-A3B-Instruct-Q8_0.gguf:8ec8ddf444b5ec40615ab0cb7fda0bf94483b3c5e6de1237991deca430d01b96
Provenance
The source model was resolved to immutable revision b2cff646eb4bb1d68355c01b18ae02e7cf42d120. It was converted with llama.cpp's convert_hf_to_gguf.py and quantized with llama-quantize; the exact tested revision is recorded above and in backpack-model.yaml.
License and attribution
Upstream declares apache-2.0. Review the upstream model card and comply with all applicable terms.
Backpack does not claim ownership of the original model. These artifacts are packaged and quantized distributions of the upstream model.
Disclaimer
Quantization can alter output quality. Memory estimates vary with runtime configuration, context length, and hardware.
- Library
- gguf
- License
- apache-2.0
- Created
- Aug 31, 2026
- Updated
- Sep 4, 2026