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Qwen3.6-35B-A3B-qcache-q4k
DeepDavid/Qwen3.6-35B-A3B-qcache-q4k
Qwen3.6-35B-A3B-qcache-q4k is a machine learning model from DeepDavid. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Quantized deployment artifacts for Qwen/Qwen3.6-35B-A3B.
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.gguf19.2 GB · 87%
At a glance
- License
- apache-2.0
- Model type
- qwen3_5_moe
- Access
- Public
- Created
- Aug 2, 2026
- Updated
- Aug 5, 2026
- SHA
- 983ef667
Base models
Model card
From the Hugging Face model README
Qwen3.6-35B-A3B — Q4_K weight cache + auxiliary tensors
Quantized deployment artifacts for Qwen/Qwen3.6-35B-A3B.
qcache-q4_k.v1.gguf— GGML Q4_K tensors for the model's linear projections, stored in a GGUF container keyed by the original checkpoint tensor paths (no metadata KVs). Produced by in-memory quantization of the bf16 checkpoint with a candle-based loader.aux-tensors.safetensors— everything the cache does not carry: embeddings, norms and other non-projection tensors, in their original dtypes.- Config and tokenizer files are copied unmodified from the base repository.
Format note: this is not a llama.cpp-compatible GGUF — tensors keep their original checkpoint names and only linear projections are quantized. Load it with a runtime that pairs the cache with the auxiliary safetensors.
Weights are redistributed under the same terms as the base model.
- Type
- qwen3_5_moe
- License
- apache-2.0
- Created
- Aug 2, 2026
- Updated
- Aug 5, 2026