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FastContext 1.0 4B RL by microsoft

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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: 0.4.

  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 Benchmarks

LLME Score: 0.40344
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
FastContext 1.0 4B RL (microsoft/FastContext-1.0-4B-RL)
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FastContext 1.0 4B RL Parameters and Internals

LLM NameFastContext 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 Size4b
Required VRAM8.1 GB
Updated2026-06-25
Maintainermicrosoft
Model Typeqwen3
Instruction-BasedYes
Model Files  5.4 GB: 0-of-2   2.7 GB: 1-of-2
Supported Languagesen
Model ArchitectureQwen3ForCausalLM
Licensemit
Context Length262144
Model Max Length262144
Transformers Version4.51.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Rank the FastContext 1.0 4B RL 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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