What are the hardware requirements for Blossom V7 9B Mlx 8Bit?

Blossom V7 9B Mlx 8Bit requires approximately 9.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Blossom V7 9B Mlx 8Bit and how large is it?

Blossom V7 9B Mlx 8Bit is developed by McG-221, a model with 9b 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 V7 9B Mlx 8Bit?

Blossom V7 9B Mlx 8Bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Blossom V7 9B Mlx 8Bit by McG-221 — VRAM 9.5GB

Name: Blossom V7 9B Mlx 8Bit
Author: McG-221

Blossom V7 9B Mlx 8Bit is an open-source language model by McG-221. Features: 9b LLM, VRAM: 9.5GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.29.

8-bit 8bit Base model:azure99/blossom-v7-... Base model:quantized:azure99/b... Conversational En Image-text-to-text Mlx Mlx-my-repo Multimodal Quantized Qwen3 5 Reasoning Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/McG-221/Blossom-V7-9B-mlx-8Bit

Blossom V7 9B Mlx 8Bit Parameters and Internals

LLM Name	Blossom V7 9B Mlx 8Bit
Repository 🤗	https://huggingface.co/McG-221/Blossom-V7-9B-mlx-8Bit
Base Model(s)	Blossom V7 9B Azure99/Blossom-V7-9B
Model Size	9b
Required VRAM	9.5 GB
Updated	2026-08-14
Maintainer	McG-221
Model Type	qwen3_5
Model Files	5.3 GB: 1-of-2 4.2 GB: 2-of-2
Supported Languages	en zh
Quantization Type	8bit
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.12.1
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Blossom V7 9B Mlx 8Bit 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 V7 9B Mlx 8Bit

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.5 9B MLX 4bit	0K / 5.9 GB	580012	4
Qwen3.5 9B MLX 8bit	0K / 10.4 GB	550497	1
Ornith 1.0 9B 4bit	0K / 5.9 GB	9791	9
Qwen3.5 9B MLX 4bit	0K / 5.9 GB	22827	151
Ornith 1.0 9B OptiQ 4bit	0K / 7.1 GB	1656	8
Qwen3.5 9B 8bit	0K / 10.4 GB	45652	17
Qwen3.5 9B OptiQ 4bit	0K / 7.1 GB	10136	86
Ornith 1.0 9B 8bit	0K / 10.4 GB	2079	2
Qwen3.5 9B 4bit	0K / 5.9 GB	17566	12
Ornith 1.0 9B OptiQ 6bit	0K / 8.1 GB	125	1

Note: green Score (e.g. "73.2") means that the model is better than McG-221/Blossom-V7-9B-mlx-8Bit.