lmstudio-community / text-generation updated 1 year ago

DeepSeek-R1-0528-Qwen3-8B-MLX-4bit

Name: DeepSeek-R1-0528-Qwen3-8B-MLX-4bit
Author: lmstudio-community

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Params

1.3 B

Context

131,072

Downloads 30d

285 K

Likes

Commercial use: allowed mit Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days

285 K266 K

Jul 28Jul 31Aug 3Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	u32	4.6 GB	5.8 GB	✅ Runs comfortably
model.safetensors (bf16, full)	bf16 + 128K ctx	4.6 GB	8.6 GB	✅ Runs comfortably

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Run it

copy-paste, exact tags checked against the Hub

~ · curl · api/v1

$ curl -s https://aimodelscomparison.com/api/v1/models/deepseek-r1-0528-qwen3-8b-mlx-4bit
{
  "hf_id": "lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-4bit",
  "params_b": 1.28,
  "context_length": 131072,
  "license": { "id": "mit", "commercial": "yes" },
  "downloads_30d": 285391,
  "vram_estimates": [
    { "quant": "u32", "gb": 5.8 }
  ],
  "updated_at": "2026-07-28T18:06:59Z"
}

est. VRAM —on RTX 4090 · 24 GBJSON API →

Specifications

Architecture: Qwen3ForCausalLM
Parameters: 1.3 B
Tensor type: U32
Context length: 131,072
Vocabulary: 151,936
Layers / heads: 36 / 32
Licence: mit
First seen on the Hub: 2025-05-29
Base model: DeepSeek-R1-0528-Qwen3-8B
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

Base model and the most-downloaded derivatives in the catalog.

Base DeepSeek-R1-0528-Qwen3-8B deepseek-ai 1.7 M

Compare with

Qwen3-0.6B 29.7 M Qwen2.5-1.5B-Instruct 14.0 M Llama-3.2-1B-Instruct 10.4 M Qwen3-1.7B 7.8 M gemma-3-1b-it 4.7 M Qwen2-1.5B-Instruct 3.2 M

Appears in

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