What are the hardware requirements for Context 1 MLX 4bit?

Context 1 MLX 4bit requires approximately 11.8 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 Context 1 MLX 4bit and how large is it?

Context 1 MLX 4bit is developed by mlx-community, a model with 20.9b 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 Context 1 MLX 4bit?

Context 1 MLX 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Context 1 MLX 4bit by mlx-community — VRAM 11.8GB, 128K context

Name: Context 1 MLX 4bit
Author: mlx-community

Context 1 MLX 4bit is an open-source language model by mlx-community. Features: 20.9b LLM, VRAM: 11.8GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.23.

4-bit 4bit Agentic Apple-silicon Base model:chromadb/context-1 Base model:quantized:chromadb/... Conversational En Gpt oss Lm-studio Mixture-of-experts Mlx Quantized Region:us Retrieval Safetensors Search Sharded Tensorflow Tool-calling

Model Card on HF 🤗: https://huggingface.co/mlx-community/context-1-MLX-4bit

Context 1 MLX 4bit Parameters and Internals

LLM Name	Context 1 MLX 4bit
Repository 🤗	https://huggingface.co/mlx-community/context-1-MLX-4bit
Base Model(s)	Context 1 chromadb/context-1
Model Size	20.9b
Required VRAM	11.8 GB
Updated	2026-08-10
Maintainer	mlx-community
Model Type	gpt_oss
Model Files	5.3 GB: 1-of-3 5.3 GB: 2-of-3 1.2 GB: 3-of-3
Supported Languages	en
Quantization Type	4bit
Model Architecture	GptOssForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	5.3.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Vocabulary Size	201088

Rank the Context 1 MLX 4bit 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 Context 1 MLX 4bit

Best Alternatives	Context / RAM	Downloads	Likes
ChatBerry 1.1	128K / 41.6 GB	265	2
Sarv Hybrid Pro	128K / 41.6 GB	115	1
ChatBerry	128K / 41.6 GB	116	3
ChatBerry 1	128K / 41.6 GB	161	2
Sarv Hybrid	128K / 41.6 GB	119	1
Sarv Non Reasoning	128K / 41.6 GB	118	1
Sarv Reasoning	128K / 41.6 GB	100	1
GPT Oss 20B Abliterated	128K / 41.6 GB	12262	4
Context 1 MLX MXFP4	128K / 11.8 GB	12	2
...ful Pruned MoE Only 32 Experts	128K / 40.8 GB	66	3

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/context-1-MLX-4bit.