What are the hardware requirements for FastContext 1.0 4B RL?

FastContext 1.0 4B RL requires approximately 8.1 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 RL and how large is it?

FastContext 1.0 4B RL is developed by microsoft, 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 RL?

FastContext 1.0 4B RL 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 RL by microsoft — VRAM 8.1GB, 256K context

Name: FastContext 1.0 4B RL
Author: microsoft

FastContext 1.0 4B RL is an open-source language model by microsoft. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, License: mit, Instruction-Based, LLM Explorer Score: 0.3.

Arxiv:2606.14066 Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-instr... Conversational En Endpoints compatible Explorer subagent Instruct Qwen3 Region:us Repository exploration Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/microsoft/FastContext-1.0-4B-RL

FastContext 1.0 4B RL Parameters and Internals

LLM Name	FastContext 1.0 4B RL
Repository 🤗	https://huggingface.co/microsoft/FastContext-1.0-4B-RL
Base Model(s)	Qwen3 4B Instruct 2507 Qwen/Qwen3-4B-Instruct-2507
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-06-29
Maintainer	microsoft
Model Type	qwen3
Instruction-Based	Yes
Model Files	5.4 GB: 0-of-2 2.7 GB: 1-of-2
Supported Languages	en
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 RL 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 FastContext 1.0 4B RL

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
SRA RiskGate 4B	256K / 8 GB	2662	1
...n3 4B Instruct 2507 Malevolent	256K / 8.1 GB	166	1
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
Dwight 4B	256K / 8.1 GB	374	10
...orm3200 Impl Verl S11 Step 039	256K / 8.1 GB	645	1
Kanso Satori 1.0 Bf16	256K / 8 GB	408	0
...orm3200 Impl Verl S11 Step 062	256K / 8.1 GB	488	1
Fable Traces	256K / 8.1 GB	105	209

Note: green Score (e.g. "73.2") means that the model is better than microsoft/FastContext-1.0-4B-RL.