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DeepSeek R1 0528 Qwen3 8B Int4 AutoRound by Intel

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DeepSeek R1 0528 Qwen3 8B Int4 AutoRound is an open-source language model by Intel. Features: 8b LLM, VRAM: 6.1GB, Context: 128K, License: mit, LLM Explorer Score: 0.2.

  Arxiv:2512.04746   4-bit   Auto-round Base model:deepseek-ai/deepsee... Base model:quantized:deepseek-...   Conversational   Dataset:neelnanda/pile-10k   Endpoints compatible   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Intel/DeepSeek-R1-0528-Qwen3-8B-int4-AutoRound 

DeepSeek R1 0528 Qwen3 8B Int4 AutoRound Benchmarks

LLME Score: 0.20243
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DeepSeek R1 0528 Qwen3 8B Int4 AutoRound (Intel/DeepSeek-R1-0528-Qwen3-8B-int4-AutoRound)
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DeepSeek R1 0528 Qwen3 8B Int4 AutoRound Parameters and Internals

LLM NameDeepSeek R1 0528 Qwen3 8B Int4 AutoRound
Repository 🤗https://huggingface.co/Intel/DeepSeek-R1-0528-Qwen3-8B-int4-AutoRound 
Base Model(s)  DeepSeek R1 0528 Qwen3 8B   deepseek-ai/DeepSeek-R1-0528-Qwen3-8B
Model Size8b
Required VRAM6.1 GB
Updated2026-03-28
MaintainerIntel
Model Typeqwen3
Model Files  4.9 GB: 1-of-2   1.2 GB: 2-of-2
Model ArchitectureQwen3ForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.52.3
Tokenizer ClassLlamaTokenizerFast
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size151936
Torch Data Typefloat16

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Qwen3 8B 256K Context 8X Grand256K / 16.4 GB950
...wen3 8B 192K Context 6X Larger192K / 16.4 GB550
DeepSeek R1 0528 Qwen3 8B128K / 16.4 GB124167959
DeepSeek R1 0528 Qwen3 8B128K / 16.4 GB1249016
...1 0528 Qwen3 8B Abliterated V1128K / 16.4 GB108529
...1 Qwen3 8B ArliAI RpR V4 Small128K / 16.4 GB111217
...8 Qwen3 8B Abliterated V1 Bf16128K / 16.3 GB3991
Note: green Score (e.g. "73.2") means that the model is better than Intel/DeepSeek-R1-0528-Qwen3-8B-int4-AutoRound.

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