DJLougen / Qwable-5-27B-Coder-GGUF

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Total runs: 421
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Model's Last Updated: June 23 2026
text-generation

Introduction of Qwable-5-27B-Coder-GGUF

Model Details of Qwable-5-27B-Coder-GGUF

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Qwable trace board

Qwable-5-27B-Coder (GGUF)

Qwable-5-27B-Coder is a Qwen3.6-based coder-agent tune trained first on Claude Fable 5 traces , then continued on Kimi 2.7 Coder traces . It is built for the messy part of coding work: reading a repo, planning a patch, using terminal feedback, fixing the miss, and carrying constraints through long turns.

This repository hosts the GGUF builds for llama.cpp / Ollama / local workstation inference. The MTP head is embedded ( blk.64.nextn.* , nextn_predict_layers=1 ) for speculative decoding, and a vision mmproj is included for multimodal use.

Early maintainer runs show Qwable outperforming the base model on a private coder benchmark. Public scores, harness settings, and task definitions will be added when the evaluation packet is ready.

Support on Ko-fi

Training, quantization, and coder-agent evaluation are expensive. If Qwable helps your work, support continued releases at ko-fi.com/djlougen .

Release channels
Repo Format Use it when
DJLougen/Qwable-5-27B-Coder BF16 Transformers safetensors You want the source checkpoint, further training, conversion, or quality-ceiling evaluation.
DJLougen/Qwable-5-27B-Coder-GGUF GGUF You want llama.cpp, Ollama, or local workstation inference.
DJLougen/Qwable-5-27B-Coder-NVFP4 ModelOpt NVFP4 safetensors You want a compact NVIDIA-serving checkpoint for supported vLLM / TensorRT-LLM stacks.
GGUF files

All quants embed the MTP head and were converted from the BF16 checkpoint. IQ1_S is built with an importance matrix (the MTP block is kept at Q6_K so it stays usable).

File Bits Size Notes
Qwable-5-27B-Coder-Q8_0.gguf 8.50 bpw ~29 GB Highest fidelity GGUF.
Qwable-5-27B-Coder-Q6_K.gguf 6.56 bpw ~22 GB Near-lossless, smaller.
Qwable-5-27B-Coder-Q4_K_M.gguf 4.92 bpw ~17 GB Balanced default for most GPUs.
Qwable-5-27B-Coder-IQ1_S.gguf ~2.1 bpw ~7 GB Smallest; imatrix-quantized, lowest fidelity.
mmproj-Qwable-5-27B-Coder-f16.gguf f16 ~0.9 GB Vision projector (pair with any text quant).
chat_template.jinja - - Chat template.

Requires a llama.cpp build with qwen3_5 architecture support (MTP/ nextn aware).

Quickstart (llama.cpp)

Download a single quant:

hf download DJLougen/Qwable-5-27B-Coder-GGUF \
  Qwable-5-27B-Coder-Q4_K_M.gguf --local-dir .

Plain text inference:

llama-server -m Qwable-5-27B-Coder-Q4_K_M.gguf -ngl 99 -c 8192 --jinja

MTP speculative decoding (uses the embedded MTP head as the draft; shared weights):

llama-server \
  -m  Qwable-5-27B-Coder-Q8_0.gguf \
  -md Qwable-5-27B-Coder-Q8_0.gguf \
  --spec-type draft-mtp \
  -ngl 99 -ngld 99 -c 8192 --jinja

Multimodal (add the vision projector):

llama-mtmd-cli \
  -m Qwable-5-27B-Coder-Q4_K_M.gguf \
  --mmproj mmproj-Qwable-5-27B-Coder-f16.gguf \
  -ngl 99
Trace stack
unsloth/Qwen3.6-27B
  -> Claude Fable 5 coder-agent traces
  -> Kimi 2.7 Coder traces
  -> Qwable-5-27B-Coder
  -> GGUF (this repo)

The release is aimed at agentic coding behavior, not benchmark-demo prose. The training signal is trace-shaped: inspect, decide, edit, verify, recover.

Attribute Details
Base unsloth/Qwen3.6-27B
Source checkpoint DJLougen/Qwable-5-27B-Coder
Architecture tag qwen3_5
Release format GGUF (llama.cpp)
MTP Embedded ( nextn_predict_layers=1 ), usable via --spec-type draft-mtp
Vision mmproj-*-f16.gguf included
Pipeline image-text-to-text
Primary use coding agents, repository work, terminal workflows, tool-use-style chat
License Apache-2.0
What Qwable is tuned to do
  • Navigate real repositories instead of isolated snippets.
  • Translate failing command output into the next useful patch.
  • Keep constraints alive across multi-step coding tasks.
  • Produce tool-friendly, implementation-oriented answers.
  • Handle long engineering prompts with logs, diffs, stack traces, and partial failures.
  • Bias toward concrete edits, commands, and verification over generic advice.
Prompting profile

Qwable works best when the prompt looks like an actual coding task, not a riddle.

Good inputs include the relevant files, exact failing command output, hard constraints, expected output format, tool boundaries, and a verifier command or acceptance test when available.

Suggested system prompt:

You are Qwable, a precise coding agent. Inspect before editing. Prefer minimal, correct patches. Preserve existing conventions. Verify behavior with the narrowest meaningful test before finalizing.

The current generation_config.json uses temperature=1.0 , top_p=0.95 , and top_k=20 .

Evaluation status

Current public status: early maintainer testing only. The maintainer has observed wins over the base model on a private coder benchmark, but reproducible claims require the full packet: benchmark name, split, prompt format, tool schema, harness commit, sampling settings, pass/fail rules, and raw results.

Vision and multimodal note

The repository is configured as image-text-to-text , and the base model family supports image/video tokens through the Qwen vision stack via the included mmproj . This fine-tune is marketed for coding behavior. Do not assume it improves vision understanding unless you evaluate that separately.

Limitations
  • Public benchmark scores are not published yet.
  • The model may inherit failure modes from the base model and from the trace sources.
  • Long-context behavior depends on runtime implementation, hardware, KV cache settings, and prompt structure.
  • Tool-use quality depends on prompt format and schema consistency.
  • Low-bit quants (especially IQ1_S ) trade quality for size; prefer Q4_K_M or higher for real work.
  • The card does not claim safety alignment beyond the base model and fine-tuning data.
License

Released under Apache-2.0, following the upstream base model license metadata.

Runs of DJLougen Qwable-5-27B-Coder-GGUF on huggingface.co

421
Total runs
27
24-hour runs
10
3-day runs
58
7-day runs
-2.9K
30-day runs

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