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hardin/
Webcoda-AI-35B-A3B-GGUF

Name: Webcoda-AI-35B-A3B-GGUF
Availability: InStock

unsloth/Qwen3.6-35B-A3B

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Webcoda AI — 35B-A3B (Q6_K GGUF)

Webcoda AI is a knowledge assistant fine-tuned from unsloth/Qwen3.6-35B-A3B (a Mixture-of-Experts model, 256 experts / ~3B active) to answer questions about Webcoda, a Sydney-based digital agency. This is the highest-quality model in the Webcoda AI family — it passed 6/6 on the factual + identity validation gate.

Run it (llama.cpp / LM Studio / Ollama)

One universal file — runs on Mac (Metal), AMD (Vulkan/ROCm), and NVIDIA (CUDA), or CPU. Requires a recent llama.cpp build (linear-attention qwen3_5_moe support).

bash

hf download hardin/Webcoda-AI-35B-A3B-GGUF Webcoda-AI-35B-A3B-Q6_K.gguf --local-dir .
llama-server --model Webcoda-AI-35B-A3B-Q6_K.gguf --jinja --ctx-size 8192 --n-gpu-layers 999

Identity is baked in — a bare "What is your name?" answers "Webcoda AI" with no system prompt needed.

Model details

Base: unsloth/Qwen3.6-35B-A3B (Qwen3_5MoeForConditionalGeneration)
Fine-tune: bf16 LoRA, r=128, on the attention + MoE expert projections (17.5% of params trainable), merged to 16-bit then quantized to Q6_K (~28.5 GB).
Text-only: the base model's vision tower and MTP (nextn) speculative head were removed during GGUF export; standard autoregressive inference is unaffected.
Tokenizer: PreTrainedTokenizerFast (repacked from the base's newer backend).

Family

hardin/Webcoda-AI-14B-GGUF — smaller/faster (dense)
hardin/Webcoda-AI-27B-GGUF — dense mid-size
hardin/Webcoda-AI-35B-A3B-GGUF — this (MoE, best accuracy, ~3B active params → fast)