What are the hardware requirements for BigWeave V9 90B?

BigWeave V9 90B requires approximately 175.7 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed BigWeave V9 90B and how large is it?

BigWeave V9 90B is developed by llmixer, a model with 90b 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 BigWeave V9 90B?

BigWeave V9 90B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

BigWeave V9 90B by llmixer — VRAM 175.7GB, 4K context

Name: BigWeave V9 90B
Author: llmixer

BigWeave V9 90B is an open-source language model by llmixer. Features: 90b LLM, VRAM: 175.7GB, Context: 4K, License: llama2, LLM Explorer Score: 0.11.

90b Conversational Dare En Endpoints compatible Euryale 1.3 Frankenmerge Llama Platypus2 Region:us Safetensors Sharded Tensorflow Ties Wintergoddess Xwin

Model Card on HF 🤗: https://huggingface.co/llmixer/BigWeave-v9-90b

BigWeave V9 90B Parameters and Internals

Model Type

text generation, conversational

Additional Notes

The model aims to identify merge settings equaling or surpassing the performance of Goliath-120b.

Supported Languages

en (proficient)

Training Details

Methodology:

DARE-TIES merge of two passthrough merges: Xwin-LM-70b-v0.1 + Euryale-1.3-70b and Platypus2-70b-instruct + WinterGoddess-1.4x-70b.

Input Output

Input Format:

Vicuna and Alpaca

LLM Name	BigWeave V9 90B
Repository 🤗	https://huggingface.co/llmixer/BigWeave-v9-90b
Model Size	90b
Required VRAM	175.7 GB
Updated	2026-05-23
Maintainer	llmixer
Model Type	llama
Model Files	9.8 GB: 1-of-18 9.7 GB: 2-of-18 9.9 GB: 3-of-18 9.7 GB: 4-of-18 9.8 GB: 5-of-18 9.8 GB: 6-of-18 10.0 GB: 7-of-18 9.8 GB: 8-of-18 9.8 GB: 9-of-18 9.8 GB: 10-of-18 10.0 GB: 11-of-18 9.6 GB: 12-of-18 9.7 GB: 13-of-18 9.8 GB: 14-of-18 9.8 GB: 15-of-18 10.0 GB: 16-of-18 9.6 GB: 17-of-18 9.1 GB: 18-of-18
Supported Languages	en
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.36.2
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the BigWeave V9 90B 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 BigWeave V9 90B

Best Alternatives	Context / RAM	Downloads	Likes
Chytrej 90M Base	8K / 0.2 GB	302	2
Chytrej1.5 90M Base	8K / 0.2 GB	11	2
Chytrej1 90M Base	8K / 0.2 GB	16	2
BigWeave V6 90B	4K / 175.7 GB	83	0
BigWeave V12 90B	4K / 175.7 GB	89	2
Tinyllama Zh	2K / 4.9 GB	8	1

Note: green Score (e.g. "73.2") means that the model is better than llmixer/BigWeave-v9-90b.