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