---

license: other

base_model: unsloth/Qwen3.6-35B-A3B

tags: [webcoda, knowledge-assistant, gguf, qwen3.5-moe, moe]

---

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).

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)