Leaderboard / DiffuSpace

Clover 35B-A3B Preview

DiffuSpace · Clover · released 2026-10-24 · data checked 2026-11-04

Clover 35B-A3B Preview is a 34.7B-parameter Mixture-of-Experts model (3B active per token) from DiffuSpace (China), released 2026-10-24 under the Apache-2.0 license. It doesn't have enough reported benchmarks for an index score yet. It needs about 22.4 GB of memory at 4-bit with an 8K-token context.

A diffusion language model: it writes blocks of 32 tokens in parallel instead of one token at a time, converted from Qwen3.6 35B-A3B. Results are only published as an image (agentic benchmarks), so none are listed yet. Needs custom code; DiffuSpace recommends its SGLang build.

Small LM Index
—
Needs 2 core benchmarks (has 0)
Parameters
34.7B
3B active · MoE
Price per 1M tokens
—
No hosted API on OpenRouter; self-host
Context window
131K
tokens

Benchmarks

Each bar shows this model's score. The tick marks the best medium model on that benchmark.

No benchmark results for this release yet. Know of one? Send it.

Specifications

Lab
DiffuSpace (CN · China)
Based on
Qwen3.6 35B-A3B (fine-tune or distillation)
Architecture
Mixture-of-Experts
Total parameters
34.7B
Active parameters
3B
Size class
Medium
Context window
131K tokens
Input modalities
text
Reasoning
Hybrid (thinking on/off)
License
Apache-2.0
Openness
Open weights
Memory to run
~22.4 GB at 4-bit, 8K context (more sizes)
Hugging Face
3.3K downloads (30 days) · 241 likes

Compare with

Sources

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Run it locally

Uses Diffuspace/Clover-35B-A3B-Preview-GGUF (Q4_K_M). Swap the tag for another size: Q4_0, Q4_K_M, Q8_0.

Ollama
ollama run hf.co/Diffuspace/Clover-35B-A3B-Preview-GGUF:Q4_K_M
llama.cpp
llama-server -hf Diffuspace/Clover-35B-A3B-Preview-GGUF:Q4_K_M
Then open http://localhost:8080 for a chat window.
vLLM (GPU server)
vllm serve Diffuspace/Clover-35B-A3B-Preview
Full-precision weights, for a server GPU.

Open in LM Studio

Memory needed: weights, context cache and runtime buffers.

Quantization4K context32K context131K context
16-bit F1671 GB71 GB73 GB
8-bit Q8_038 GB39 GB41 GB
4-bit Q4_K_M22 GB23 GB25 GB

Check it against your GPU, Mac or phone →