What are the hardware requirements for Claude Deepseek R1 Qwen3 Safetensors?

Claude Deepseek R1 Qwen3 Safetensors requires approximately 16.4 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Claude Deepseek R1 Qwen3 Safetensors and how large is it?

Claude Deepseek R1 Qwen3 Safetensors is developed by mondk, a model with 8b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Claude Deepseek R1 Qwen3 Safetensors?

Claude Deepseek R1 Qwen3 Safetensors is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Claude Deepseek R1 Qwen3 Safetensors by mondk — VRAM 16.4GB, 128K context

Name: Claude Deepseek R1 Qwen3 Safetensors
Author: mondk

Claude Deepseek R1 Qwen3 Safetensors is an open-source language model by mondk. Features: 8b LLM, VRAM: 16.4GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.28.

4bit Base model:finetune:unsloth/de... Base model:unsloth/deepseek-r1... Claude Conversational Dataset:mondk/claude-v2-super.... Deepseek En Quantized Qwen3 Region:us Safetensors Sharded Tensorflow Thinking Unsloth

Model Card on HF 🤗: https://huggingface.co/mondk/claude_Deepseek-R1-Qwen3_safetensors

Claude Deepseek R1 Qwen3 Safetensors Parameters and Internals

LLM Name	Claude Deepseek R1 Qwen3 Safetensors
Repository 🤗	https://huggingface.co/mondk/claude_Deepseek-R1-Qwen3_safetensors
Base Model(s)	...0528 Qwen3 8B Unsloth Bnb 4bit unsloth/DeepSeek-R1-0528-Qwen3-8B-unsloth-bnb-4bit
Model Size	8b
Required VRAM	16.4 GB
Updated	2026-09-29
Maintainer	mondk
Model Type	qwen3
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 5.0 GB: 3-of-4 1.6 GB: 4-of-4
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Tokenizer Class	TokenizersBackend
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Torch Data Type	float16

Rank the Claude Deepseek R1 Qwen3 Safetensors capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Claude Deepseek R1 Qwen3 Safetensors

Best Alternatives	Context / RAM	Downloads	Likes
BehChat SFTv3 Ckpt1	128K / 16.4 GB	6	0
BehChat SFTv2 Mixed Ckpt 6	128K / 16.4 GB	11	0
...0528 Qwen3 8B Unsloth Bnb 4bit	128K / 7.5 GB	4457	13
DeepSeek R1 0528 Qwen3 8B 4bit	128K / 4.6 GB	1781	6
...Seek R1 0528 Qwen3 8B Bnb 4bit	128K / 6.1 GB	923	9
Qwen3 8B LQA 14e Full	128K / 16.4 GB	6	0
...Seek R1 0528 Qwen3 8B 4bit DWQ	128K / 4.6 GB	212	8
...0528 Qwen3 8B Unsloth Bnb 4bit	128K / 16.4 GB	7	0
Annie Lite V0.2.9 Qwen3 8B	80K / 16.4 GB	5	0
Bonsai 8B Mlx 1bit	64K / 1.3 GB	9396	221

Note: green Score (e.g. "73.2") means that the model is better than mondk/claude_Deepseek-R1-Qwen3_safetensors.