What are the hardware requirements for Qwen2.5 Microsoft NextCoder Brainstorm20x 42B?

Qwen2.5 Microsoft NextCoder Brainstorm20x 42B requires approximately 84.3 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 Microsoft NextCoder Brainstorm20x 42B and how large is it?

Qwen2.5 Microsoft NextCoder Brainstorm20x 42B is developed by DavidAU, 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 Qwen2.5 Microsoft NextCoder Brainstorm20x 42B?

Qwen2.5 Microsoft NextCoder Brainstorm20x 42B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 Microsoft NextCoder Brainstorm20x 42B by DavidAU — VRAM 84.3GB, 32K context

Name: Qwen2.5 Microsoft NextCoder Brainstorm20x 42B
Author: DavidAU

Qwen2.5 Microsoft NextCoder Brainstorm20x 42B is an open-source language model by DavidAU. Features: 32b LLM, VRAM: 84.3GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.19.

Arxiv:2401.02415 Autotrain compatible Base model:finetune:microsoft/... Base model:microsoft/nextcoder... Brainstorm Brainstorm20x Chat Code Code generation Codegen Codeqwen Coder Coding Conversational Dataset:bigcode/commitpackft Dataset:bigcode/starcoderdata Dataset:microsoft/nextcoderdat... Dataset:microsoft/nextcoderdat... En Endpoints compatible Merge Microsoft Nextcoder Qwen Qwen-coder Qwen2 Region:us Safetensors Selekt Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/DavidAU/Qwen2.5-Microsoft-NextCoder-Brainstorm20x-42B

Qwen2.5 Microsoft NextCoder Brainstorm20x 42B Parameters and Internals

LLM Name	Qwen2.5 Microsoft NextCoder Brainstorm20x 42B
Repository 🤗	https://huggingface.co/DavidAU/Qwen2.5-Microsoft-NextCoder-Brainstorm20x-42B
Base Model(s)	NextCoder 32B microsoft/NextCoder-32B
Model Size	32b
Required VRAM	84.3 GB
Updated	2025-09-23
Maintainer	DavidAU
Model Type	qwen2
Model Files	5.0 GB: 1-of-18 5.0 GB: 2-of-18 4.9 GB: 3-of-18 4.9 GB: 4-of-18 4.9 GB: 5-of-18 4.9 GB: 6-of-18 4.9 GB: 7-of-18 4.9 GB: 8-of-18 4.9 GB: 9-of-18 4.9 GB: 10-of-18 4.9 GB: 11-of-18 4.9 GB: 12-of-18 4.9 GB: 13-of-18 4.8 GB: 14-of-18 4.8 GB: 15-of-18 4.8 GB: 16-of-18 5.0 GB: 17-of-18 1.0 GB: 18-of-18
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.52.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 Microsoft NextCoder Brainstorm20x 42B 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 Qwen2.5 Microsoft NextCoder Brainstorm20x 42B

Best Alternatives	Context / RAM	Downloads	Likes
Openbuddy Qwq 32B V24.2 200K	195K / 65.8 GB	9	3
Openbuddy Qwq 32B V24.1 200K	195K / 65.8 GB	10	3
Openbuddy Qwq 32B V25.2q 200K	195K / 65.8 GB	1	4
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
DeepSeek R1 Distill Qwen 32B	128K / 65.7 GB	841633	1584
Qwen2.5 32B	128K / 65.5 GB	49206	180
RomboUltima 32B	128K / 20.7 GB	12	6
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	42	17
Ultiima 32B	128K / 65.8 GB	11	7
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	60	4

Note: green Score (e.g. "73.2") means that the model is better than DavidAU/Qwen2.5-Microsoft-NextCoder-Brainstorm20x-42B.