What are the hardware requirements for FastContext 1.0 4B SFT 8bit?

FastContext 1.0 4B SFT 8bit requires approximately 4.3 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed FastContext 1.0 4B SFT 8bit and how large is it?

FastContext 1.0 4B SFT 8bit is developed by mlx-community, a model with 4b 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 FastContext 1.0 4B SFT 8bit?

FastContext 1.0 4B SFT 8bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

FastContext 1.0 4B SFT 8bit by mlx-community — VRAM 4.3GB, 256K context

Name: FastContext 1.0 4B SFT 8bit
Author: mlx-community

FastContext 1.0 4B SFT 8bit is an open-source language model by mlx-community. Features: 4b LLM, VRAM: 4.3GB, Context: 256K, License: mit, Quantized, LLM Explorer Score: 0.27.

Arxiv:2606.14066 8-bit 8bit Agent Base model:quantized:shaungves... Base model:shaungves/fastconte... Code Conversational En Mlx Quantized Qwen3 Region:us Repository-exploration Safetensors

Model Card on HF 🤗: https://huggingface.co/mlx-community/FastContext-1.0-4B-SFT-8bit

FastContext 1.0 4B SFT 8bit Parameters and Internals

LLM Name	FastContext 1.0 4B SFT 8bit
Repository 🤗	https://huggingface.co/mlx-community/FastContext-1.0-4B-SFT-8bit
Base Model(s)	ShaunGves/FastContext-1.0-4B-SFT ShaunGves/FastContext-1.0-4B-SFT
Model Size	4b
Required VRAM	4.3 GB
Updated	2026-08-10
Maintainer	mlx-community
Model Type	qwen3
Model Files	4.3 GB
Supported Languages	en
Quantization Type	8bit
Model Architecture	Qwen3ForCausalLM
License	mit
Context Length	262144
Model Max Length	262144
Transformers Version	4.51.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the FastContext 1.0 4B SFT 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

Best Alternatives to FastContext 1.0 4B SFT 8bit

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 4b Merged Txt	256K / 8.1 GB	535	0
Qwen3.8 4B Distilled	256K / 8.1 GB	90	0
...Instruct 2507 Unsloth Bnb 4bit	256K / 3.5 GB	155962	14
Mini Coder 4B OptiQ 4bit	256K / 3 GB	310	1
...wen3 4B Thinking 2507 MLX 4bit	256K / 2.3 GB	53225	14
...wen 3 4b Mythos Finetune 16bit	256K / 8.1 GB	92	0
...wen3 4B Thinking 2507 MLX 8bit	256K / 4.3 GB	44731	8
Qwen3 4B Instruct 2507 4bit	256K / 2.3 GB	40955	11
EduMentor Qwen3 4B FP16	256K / 8.1 GB	75	1
...4B Cybersecurity Heretic 16bit	256K / 8.1 GB	436	4

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/FastContext-1.0-4B-SFT-8bit.