Models / Qwen3.8generated from capability-matrix.json
Qwen3.8
Qwen3.8 dense: the same hybrid attention, without the experts. Reads images (verified on Qwen3.5-0.8B).
chatimagessafetensors, GGUF
Get it
No vetted checkpoint yet. You can pull any GGUF of this family by repo and quant. goinfer checks it fits before downloading, but nobody here has timed it.
goinfer-chat pull <owner>/<repo>:<quant>What hasn't been shown
- No vetted checkpoint, so there's no fit verdict, no speed and no tool-calling result for this family.
How sure we are
Against the released model100.0%
picks the same next token as HuggingFace
0.99989
closest the raw scores get at their worst position (cosine, 1.00000 is identical; bar starts at 0.95)
real-oracle 100.0%/0.99989 · what parity-gated means
Measured speed · decode, tokens per second
not measured — no vetted checkpoint to measure
Architecture, for the curious
- model_type
- qwen3_5, qwen3_5_text
- design
- gated-linear hybrid (Gated DeltaNet)
- experts
- dense
- attention window
- none
- QK-norm
- yes
- RoPE
- m-RoPE
- norm
- RMSNorm, pre-norm
- activation
- SwiGLU
- tied head
- no
- modality
- text (+ vision tower)
- GPU-resident
- eligible
registry description: Qwen3.8 dense: the same Gated DeltaNet + softmax 3:1 hybrid as Qwen3.5-MoE, with a plain SwiGLU in place of the router