---
license: other
base_model: unsloth/Qwen3.6-27B
tags: [webcoda, knowledge-assistant, lora-merged, qwen3.5]
---

# Webcoda AI — 27B (merged full model)

Full merged weights of **Webcoda AI**, a knowledge assistant fine-tuned from
`unsloth/Qwen3.6-27B` (dense, bf16) on Webcoda company Q&A. Passed 6/6 factual
validation (identity, founding, leadership, partnerships, Tresillian=Umbraco,
early projects) plus a no-overcorrection regression check.

## Recommended: use the GGUF
For local inference on Mac / AMD / NVIDIA, use the quantized GGUF instead — it is
smaller and smoke-tested: **`hardin/Webcoda-AI-27B-GGUF`** (Q6_K, ~22 GB).
The **LoRA adapter** alone is at `hardin/Webcoda-AI-27B-LoRA`.

## Notes on these weights
- **Fine-tune:** LoRA (r=128) on the language-model attention+MLP projections,
  merged to 16-bit. Vision-tower weights are unchanged base weights.
- **MTP head removed:** the base model's multi-token-prediction (nextn)
  speculative-decoding head was stripped. This has **no effect on generated
  outputs** — standard autoregressive inference is identical; only MTP-based
  speculative decoding is unavailable.
- **Tokenizer:** `tokenizer_class` set to `PreTrainedTokenizerFast` for
  portability (the base shipped a newer `TokenizersBackend` class).
- Architecture `Qwen3_5ForConditionalGeneration` requires a transformers build
  with `qwen3_5` support.