Diffuspace/Clover-35B-A3B-Preview

text-generation model by Diffuspace

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Clover-35B-A3B-Preview is the first model released by DiffuSpace, delivering state-of-the-art performance among open-source diffusion language models at release on the benchmarks reported in our launch blog. Clover combines a 35B-parameter mixture-of-experts backbone with approximately 3B active parameters per token, block diffusion generation, and a 128K context window. Blog · Code & inference backends · Hugging Face [](https://diffuspace.ai/blog/clover-35b/#agentic-benchmarks) See the benchmark discussion for evaluation results, settings, and comparisons. Clover is a text-only model derived from Qwen3.6-35B-A3B, retaining its hybrid Gated DeltaNet (GDN) / full-attention MoE backbone with 40 layers, 256 routed experts, top-8 token routing, and one shared expert per layer. For self-speculative decoding with our SGLang and llama.cpp implementations, see the official code repository. Install PyTorch with CUDA support, then the Hugging Face dependencies. The example below uses Transformers 5.19.0 and PyTorch 2.10 or later. Use a GPU with enough memory for the BF16 weights (approximately 69 GB) plus inference…

Diffuspace/Clover-35B-A3B-Preview on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-29T09:47:55.554Z

Inside the original model card — Document outline
  1. Clover-35B-A3B-Preview
  2. Performance
  3. Architecture and decoding
  4. Quick start
  5. Generation controls
  6. Expert selection
  7. Serving and evaluation
  8. Upstream attribution and modifications

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Model overview

Diffuspace/Clover-35B-A3B-Preview is a text-generation model repository published by Diffuspace on Hugging Face. The source reports the transformers library.

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Model facts

Task
text-generation
Library
transformers
Recent downloads (30 days)
2,021
Cumulative likes
193
Hugging Face trending score
189
Reported safetensors parameters
34,661,350,848
Architecture
CloverMoeModelLM
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-10-24T03:46:30.000Z
Last modified
2026-10-28T03:07:54.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: Qwen/Qwen3.6-35B-A3B

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source: Hugging Face Hub. Metadata observed 2026-11-01T06:49:30.141Z. Daily imports are snapshots, not real-time monitoring.

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