What are the hardware requirements for AstaBrief 8B MLX 8bit?

AstaBrief 8B MLX 8bit requires approximately 8.7 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed AstaBrief 8B MLX 8bit and how large is it?

AstaBrief 8B MLX 8bit is developed by hherb, a model with 8b 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 AstaBrief 8B MLX 8bit?

AstaBrief 8B MLX 8bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

AstaBrief 8B MLX 8bit by hherb — VRAM 8.7GB, 40K context

Name: AstaBrief 8B MLX 8bit
Author: hherb

AstaBrief 8B MLX 8bit is an open-source language model by hherb. Features: 8b LLM, VRAM: 8.7GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.29.

8-bit 8bit Base model:allenai/astabrief 8... Base model:quantized:allenai/a... Conversational En Mlx Quantized Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/hherb/AstaBrief-8B-MLX-8bit

AstaBrief 8B MLX 8bit Parameters and Internals

LLM Name	AstaBrief 8B MLX 8bit
Repository 🤗	https://huggingface.co/hherb/AstaBrief-8B-MLX-8bit
Base Model(s)	AstaBrief 8B allenai/AstaBrief_8B
Model Size	8b
Required VRAM	8.7 GB
Updated	2026-11-01
Maintainer	hherb
Model Type	qwen3
Model Files	5.3 GB: 1-of-2 3.4 GB: 2-of-2
Supported Languages	en
Quantization Type	8bit
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Transformers Version	4.52.4
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the AstaBrief 8B MLX 8bit capabilities

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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

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