What are the hardware requirements for DeepSeek R1 Distill Qwen Coder 32B Fusion 9010?

DeepSeek R1 Distill Qwen Coder 32B Fusion 9010 requires approximately 65.8 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 DeepSeek R1 Distill Qwen Coder 32B Fusion 9010 and how large is it?

DeepSeek R1 Distill Qwen Coder 32B Fusion 9010 is developed by huihui-ai, a model with 32b 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 DeepSeek R1 Distill Qwen Coder 32B Fusion 9010?

DeepSeek R1 Distill Qwen Coder 32B Fusion 9010 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

DeepSeek R1 Distill Qwen Coder 32B Fusion 9010 by huihui-ai — VRAM 65.8GB, 128K context

Name: DeepSeek R1 Distill Qwen Coder 32B Fusion 9010
Author: huihui-ai

DeepSeek R1 Distill Qwen Coder 32B Fusion 9010 is an open-source language model by huihui-ai. Features: 32b LLM, VRAM: 65.8GB, Context: 128K, Code Generating, LLM Explorer Score: 0.17.

Autotrain compatible Base model:finetune:huihui-ai/... Base model:huihui-ai/deepseek-... Codegen Conversational En Endpoints compatible Fusion Inference endpoints Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/huihui-ai/DeepSeek-R1-Distill-Qwen-Coder-32B-Fusion-9010

DeepSeek R1 Distill Qwen Coder 32B Fusion 9010 Parameters and Internals

LLM Name	DeepSeek R1 Distill Qwen Coder 32B Fusion 9010
Repository 🤗	https://huggingface.co/huihui-ai/DeepSeek-R1-Distill-Qwen-Coder-32B-Fusion-9010
Base Model(s)	...1 Distill Qwen 32B Abliterated huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliterated
Model Size	32b
Required VRAM	65.8 GB
Updated	2025-09-23
Maintainer	huihui-ai
Model Type	qwen2
Model Files	4.9 GB: 1-of-14 4.9 GB: 2-of-14 4.9 GB: 3-of-14 4.9 GB: 4-of-14 4.9 GB: 5-of-14 4.9 GB: 6-of-14 4.9 GB: 7-of-14 4.9 GB: 8-of-14 4.9 GB: 9-of-14 4.9 GB: 10-of-14 4.9 GB: 11-of-14 4.9 GB: 12-of-14 4.9 GB: 13-of-14 2.1 GB: 14-of-14
Supported Languages	en
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.43.1
Tokenizer Class	LlamaTokenizer
Padding Token	<｜end▁of▁sentence｜>
Vocabulary Size	152064
Torch Data Type	bfloat16

Rank the DeepSeek R1 Distill Qwen Coder 32B Fusion 9010 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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 DeepSeek R1 Distill Qwen Coder 32B Fusion 9010

Best Alternatives	Context / RAM	Downloads	Likes
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
...2.5 Godzilla Coder V2 51B 128K	128K / 102.1 GB	8	1
Qwen2.5 32B YOYO V2	128K / 65.7 GB	11	1
QwQ Coder R1 Distill 32B	128K / 65.8 GB	8	0
Qwen2.5 32B YOYO MIX	128K / 65.7 GB	8	2
Qwen2.5 Coder 32B YOYO	128K / 65.8 GB	8	2
YOYO O1 32B V2	128K / 65.7 GB	6	3
QwQ Coder 32B	128K / 65.7 GB	10	7
QwQ Qwen2.5 Coder Instruct 32B	128K / 65.8 GB	43	0
Reasoning TIES Coder V1.1	128K / 65.7 GB	13	2

Note: green Score (e.g. "73.2") means that the model is better than huihui-ai/DeepSeek-R1-Distill-Qwen-Coder-32B-Fusion-9010.