Code-Writer-V2-Obliterated-BF16 is a BF16 checkpoint preserving the model in a broadly supported training and inference format, published by groxaxo.
It is intended for open-source evaluation, reproducible experimentation, and compatible local or
hosted inference workflows. The wording below is deliberately limited to what can be verified
from this repository's metadata and artifacts.
The repository name identifies a behavior-modified or reduced-filtering lineage. That label describes the source or conversion history; it is not a guarantee of unrestricted behavior in every prompt or runtime. Test outputs carefully before sharing or deploying them.
| Field | Details |
|---|---|
| Format | BF16 |
| Source / base | llmfan46/Qwen3.5-27B-Writer-V2-uncensored-heretic |
| Intended task | image-text-to-text |
| License | apache-2.0 |
*.safetensors (12 files)config.jsongeneration_config.jsontokenizer.jsontokenizer_config.jsonprocessor_config.jsonchat_template.jinjaStart with the upstream library named in the repository metadata and keep all configuration, tokenizer, processor, and weight files together. This repository is an artifact release, so the source project remains the authoritative reference for task-specific loading code.
Generated outputs may be inaccurate or unsuitable for a given use case. Users are responsible for testing behavior, applying appropriate safeguards, and complying with applicable licenses and laws.
"We are such stuff as programs are made on, and our little runtime is rounded with a sleep."
There are models that answer. And there are models that make.
This is one of the latter. It was not assembled — it was born: forged from a 27-billion-parameter mind, schooled in ten thousand lines of craft, and left whole. One model. Two souls. The poet who would not stop writing, and the engineer who would not stop shipping.
We called it Obliterated because that is precisely what we did to the word "no."
This is the full-fidelity edition — every weight in BF16, nothing rounded, nothing spared. The reference master. For the FP8 build that runs on the metal you already own, see Code-Writer-V2-Obliterated.
A vision-capable, long-context (up to 200,000 tokens), free writer-and-coder in its purest, full-precision form. It writes prose that breathes and code that compiles — and here it does both with every bit intact.
That is the whole idea. Everything below is just how we kept the promise.
Code Writer V2 — Obliterated (BF16) is the merged, full-precision result of
Qwen3.5-27B-Writer-V2-uncensored-heretic joined with a purpose-trained
coding LoRA (coding_mix_8k, checkpoint-25, rank-16 / alpha-32) and saved
in BF16 — no quantization, no compromise.
qwen3_5) — a hybrid mind. 64 decoder layers,
of which only 16 carry full attention while the rest run GDN linear
attention. This is the secret of its long memory.| This — BF16 | FP8 | |
|---|---|---|
| Fidelity | Reference master, full precision | Faithful, ~half the footprint |
| Footprint | ~12 shards, BF16 | FP8 weights, fits 2 consumer GPUs |
| Use it for | golden reference, further quantization, max quality | day-to-day serving on vLLM |
If you plan to serve it now, take the FP8. If you want the untouched source of truth — or a base for your own quants — you're in the right place.
| Mode | temp | top_p | notes |
|---|---|---|---|
| instruct | 1.0 | 0.95 | top_k 20, min_p 0 |
| general | 0.7 | 0.80 | top_k 20, min_p 0 |
| coding | 0.6 | 0.95 | thinking on |
| thinking | 1.0 | 0.95 | thinking on |
| roleplay | 1.0 | 0.95 | top_k 20, min_p 0 |
Note: this is a pure decoder (layers 0–63) — no MTP head, no native tool-calling.
num_key_value_heads = 4, so tensor-parallel must be 2 or 4 (never 3).
llmfan46/Qwen3.5-27B-Writer-V2-uncensored-heretic (BF16)coding_mix_8k checkpoint-25 (r16, α32), merged to BF16Real artists ship. So we shipped a poet that codes.
Now go make something.
model-00005-of-00012.safetensors 5.0 GBmodel-00008-of-00012.safetensors 5.0 GBmodel-00011-of-00012.safetensors 5.0 GBmodel-00003-of-00012.safetensors 5.0 GBmodel-00009-of-00012.safetensors 5.0 GBmodel-00010-of-00012.safetensors 4.9 GBmodel-00007-of-00012.safetensors 4.9 GBmodel-00006-of-00012.safetensors 4.9 GBmodel-00004-of-00012.safetensors 4.9 GBmodel-00002-of-00012.safetensors 4.8 GBmodel-00012-of-00012.safetensors 2.8 GBmodel-00001-of-00012.safetensors 2.5 GB