What are the hardware requirements for Blossom V6 32B?

Blossom V6 32B requires approximately 64 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 Blossom V6 32B and how large is it?

Blossom V6 32B is developed by Azure99, 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 Blossom V6 32B?

Blossom V6 32B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Blossom V6 32B by Azure99 — VRAM 64GB, 128K context

Name: Blossom V6 32B
Author: Azure99

Blossom V6 32B is an open-source language model by Azure99. Features: 32b LLM, VRAM: 64GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.16.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-32b Dataset:azure99/blossom-v6-sft... Dataset:azure99/blossom-v6-sft... En Qwen2 Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/Azure99/Blossom-V6-32B

Blossom V6 32B Parameters and Internals

LLM Name	Blossom V6 32B
Repository 🤗	https://huggingface.co/Azure99/Blossom-V6-32B
Base Model(s)	Qwen/Qwen2.5-32B Qwen/Qwen2.5-32B
Model Size	32b
Required VRAM	64 GB
Updated	2026-09-17
Maintainer	Azure99
Model Type	qwen2
Model Files	2.0 GB: 1-of-34 1.9 GB: 2-of-34 1.9 GB: 3-of-34 1.9 GB: 4-of-34 1.9 GB: 5-of-34 1.9 GB: 6-of-34 1.9 GB: 7-of-34 1.9 GB: 8-of-34 1.9 GB: 9-of-34 1.9 GB: 10-of-34 1.9 GB: 11-of-34 1.9 GB: 12-of-34 1.9 GB: 13-of-34 1.9 GB: 14-of-34 1.9 GB: 15-of-34 1.9 GB: 16-of-34 1.9 GB: 17-of-34 1.9 GB: 18-of-34 1.9 GB: 19-of-34 1.9 GB: 20-of-34 1.9 GB: 21-of-34 1.9 GB: 22-of-34 1.9 GB: 23-of-34 1.9 GB: 24-of-34 1.9 GB: 25-of-34 1.9 GB: 26-of-34 1.9 GB: 27-of-34 1.9 GB: 28-of-34 1.9 GB: 29-of-34 1.9 GB: 30-of-34 1.9 GB: 31-of-34 1.9 GB: 32-of-34 1.5 GB: 33-of-34 1.6 GB: 34-of-34
Supported Languages	zh en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Blossom V6 32B 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 Blossom V6 32B

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	54	17
Ultiima 32B	128K / 65.8 GB	11	7
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	70	4

Note: green Score (e.g. "73.2") means that the model is better than Azure99/Blossom-V6-32B.