Apache-2.0llmRuns locally35B (card)

Clover-35B-A3B-Preview: Specs, License & How to Run

DiffuSpace Apache-2.0 diffusion-language MoE (~35B/3B active), 128K, from Qwen3.6-35B-A3B.

Official Clover agentic-benchmark figure linked from the Diffuspace/Clover-35B-A3B-Preview card
Official project image. Source · License: Apache-2.0.
License
Apache-2.0
Parameters
35B (card) (active ~3B (card))
HF likes
176 (2026-10-31)
First seen
2026-10-24

TL;DR. Clover-35B-A3B-Preview is a llm model from DiffuSpace. Parameters: 35B (card) (active ~3B (card)).License: Apache-2.0. It is listed under ChatGPT, Closed LLM APIs.

DeveloperDiffuSpace
Typellm
ArchitectureText-only clover_moe (HF architectures CloverMoeModelLM). Card: derived from Qwen/Qwen3.6-35B-A3B; hybrid Gated DeltaNet / full-attention MoE, 40 layers, 256 routed experts, top-8 per token, one shared expert per layer. Block diffusion with LowConfidence decoding (config block_size 32, threshold 0.95). max_position_embeddings 131,072. Custom Transformers code required.
Parameters35B (card) · active ~3B (card)
Modalitiestext
Languagesen
Context128K (card); 131,072 tokens (config + card)
LicenseApache-2.0 — LICENSE on Diffuspace/Clover-35B-A3B-Preview is Apache License 2.0 (cardData.license apache-2.0). The appendix copyright line is “Copyright 2026 Alibaba Cloud,” matching the card’s note that Clover is derived from Qwen3.6-35B-A3B and that the file preserves the upstream Apache-2.0 grant. The companion GitHub repo DiffuSpace/Clover-35B-A3B-Preview had no LICENSE blob (404) on 2026-10-31. Not legal advice.
HardwareNot yet verified — Card: GPU with enough memory for BF16 weights (approximately 69 GB) plus inference state. HF usedStorage is 69,342,784,805 bytes (~64.6 GiB / ~69.3 GB decimal). Peak VRAM is not independently measured. No GGUF sibling on the lead card we opened. (not independently tested)
Hugging Face likes176 (as of 2026-10-31)
Model cardhttps://huggingface.co/Diffuspace/Clover-35B-A3B-Preview
First seen2026-10-24

Clover-35B-A3B-Preview is a text-only diffusion language MoE from DiffuSpace. Official hosts we opened on 2026-10-31: the ungated card Diffuspace/Clover-35B-A3B-Preview (created 2026-10-24T03:46:30Z; last modified 2026-10-28T03:07:54Z; 176 likes / 1,505 downloads), the Apache 2.0 LICENSE, config.json, the inference repo DiffuSpace/Clover-35B-A3B-Preview (117 stars / 5 forks; created 2026-10-27T11:30:09Z; last push 2026-10-28T10:34:42Z; no LICENSE blob), the launch post Clover-35B, and the upstream card Qwen/Qwen3.6-35B-A3B. API gated was false. Hugging Face pipeline_tag is text-generation; model_type is clover_moe.

This page hangs off ChatGPT alternatives and closed LLM APIs. That mapping is editorial. We have no sourced quality comparison against ChatGPT. Head-to-head facts versus the same-size Apache-2.0 coding MoE already on this site: Clover-35B-A3B-Preview vs Flint. There is no Qwen3.6-35B-A3B page here.

The card calls Clover the first DiffuSpace release, combining a 35B-parameter mixture-of-experts backbone with approximately 3B active parameters per token, block diffusion, and a 128K context window. Those sentences stay vendor. Chat-template comments say the model accepts text content only.

What we verified (2026-10-31)

Field Value Source
Host huggingface.co/Diffuspace/Clover-35B-A3B-Preview (not gated) HF API
Created / last modified 2026-10-24T03:46:30Z / 2026-10-28T03:07:54Z same
Likes / downloads 176 / 1,505 same
License tag + file apache-2.0 / Apache License 2.0 HF cardData + LICENSE
Pipeline tag text-generation HF API
Architecture clover_moe / CloverMoeModelLM card + config
Base model Qwen/Qwen3.6-35B-A3B card YAML
Params (card) 35B total / ~3B active card
safetensors.parameters 34,661,350,848 HF API
usedStorage (BF16) 69,342,784,805 bytes (~64.6 GiB) same
Layers / experts 40 layers; 256 routed, top-8; 1 shared card + config
Context 128K (card); 131,072 (config) card + config
Block diffusion defaults block_size 32; LowConfidence threshold 0.95 card + config
GitHub inference repo 117 stars / 5 forks; no LICENSE file GitHub API

HF tags include base_model:Qwen/Qwen3.6-35B-A3B and base_model:finetune:Qwen/Qwen3.6-35B-A3B. Config also records moe_block_coreset_enabled: true and moe_block_coreset_top_p: 0.9 (card: 90% of aggregated routing mass, not 90% of all experts).

How to run (from the official card, not tested)

The card asks for Transformers 5.19.0, PyTorch 2.10 or later, trust_remote_code=True, and a GPU that can hold BF16 weights (approximately 69 GB) plus inference state. Copied install and generate names only:

pip install "transformers==5.19.0" accelerate safetensors
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "Diffuspace/Clover-35B-A3B-Preview"
tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(
    model_id, trust_remote_code=True, dtype=torch.bfloat16, device_map="cuda:0"
).eval()

Card generation defaults copied as labels: block_size=32, threshold=0.95, do_sample=False. The card says requests that exceed the 128K limit (including space to resolve the final full block) are rejected. Official SGLang in DiffuSpace/Clover-35B-A3B-Preview is the recommended serve/eval path; the card warns that the Hugging Face PyTorch path can produce different text than SGLang kernels. forkalt has not run either.

License

LICENSE is Apache License 2.0. Card tag apache-2.0. Appendix copyright on that file: Copyright 2026 Alibaba Cloud. The card’s “Upstream attribution” section says Clover is derived from Qwen3.6-35B-A3B and that the LICENSE preserves the upstream grant. The GitHub inference repo had no LICENSE file (404) on 2026-10-31. Not legal advice.

What we did not invent

  • Numeric agentic-bench scores stay on the launch blog. They are not copied here.
  • VRAM, tokens/s, and “state-of-the-art” stay vendor.
  • We do not rank Clover against Flint, ChatGPT, or Qwen3.6-35B-A3B.

Related on this site: Flint — Clover-35B-A3B-Preview vs Flint — Ornith-1.5-122B — Sage-A1.5 — Nemotron 3.5 Bolt (local-agent VLM, different job) — LFM3. Serving: vLLM. Catalog: home.

Deploy options

Comparisons

FAQ

Is Clover-35B-A3B-Preview open weight and Apache-2.0?

The ungated card Diffuspace/Clover-35B-A3B-Preview (created 2026-10-24T03:46:30Z; 176 likes / 1,505 downloads in the 2026-10-31 API check) tags license apache-2.0. The LICENSE file is Apache License 2.0. The GitHub inference repo DiffuSpace/Clover-35B-A3B-Preview (117 stars / 5 forks) had no LICENSE file on 2026-10-31. Not legal advice.

Is this the same as Flint or Qwen3.6-35B-A3B?

No. Clover is a text-only diffusion-language MoE derived from Qwen/Qwen3.6-35B-A3B (card). Flint is Recursive’s from-scratch flint MoE (39.8B / ~2.5B), not a Qwen fine-tune. There is no Qwen3.6-35B-A3B page on this site. See Clover-35B-A3B-Preview vs Flint.

Can I run it on a laptop?

No sourced laptop or GGUF recipe. The card asks for a GPU that can hold BF16 weights (approximately 69 GB) plus inference state. runsLocally means the weights are downloadable without a gate. forkalt has not loaded the checkpoint.

Does it beat Flint, ChatGPT, or other open MoEs?

We have no sourced bake-off. The card’s “state-of-the-art among open-source diffusion language models” sentence and the blog benchmark figure stay vendor. This page does not copy numeric scores that are not printed on the card. See Clover-35B-A3B-Preview vs Flint.

Sources & verification

Last verified 2026-10-31 · Last updated 2026-10-31· Edited by forkalt editors · Editorial policy

License notes are not legal advice. Read the original LICENSE. Trademark & disclaimer.