What are the hardware requirements for FastContext 4B RL Base SFT Fable5 Glint?

FastContext 4B RL Base SFT Fable5 Glint 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 4B RL Base SFT Fable5 Glint and how large is it?

FastContext 4B RL Base SFT Fable5 Glint is developed by ermiaazarkhalili, 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 4B RL Base SFT Fable5 Glint?

FastContext 4B RL Base SFT Fable5 Glint is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

FastContext 4B RL Base SFT Fable5 Glint by ermiaazarkhalili — VRAM 8.1GB, 256K context

Name: FastContext 4B RL Base SFT Fable5 Glint
Author: ermiaazarkhalili

FastContext 4B RL Base SFT Fable5 Glint is an open-source language model by ermiaazarkhalili. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.27.

Base model:adapter:microsoft/f... Base model:microsoft/fastconte... Conversational Endpoints compatible Lora Qwen3 Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/ermiaazarkhalili/FastContext-4B-RL_base-SFT-Fable5-Glint

FastContext 4B RL Base SFT Fable5 Glint Parameters and Internals

LLM Name	FastContext 4B RL Base SFT Fable5 Glint
Repository 🤗	https://huggingface.co/ermiaazarkhalili/FastContext-4B-RL_base-SFT-Fable5-Glint
Base Model(s)	microsoft/FastContext-1.0-4B-RL microsoft/FastContext-1.0-4B-RL
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-08-08
Maintainer	ermiaazarkhalili
Model Type	qwen3
Model Files	5.4 GB: 0-of-2 2.7 GB: 1-of-2
Supported Languages	en
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the FastContext 4B RL Base SFT Fable5 Glint 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 4B RL Base SFT Fable5 Glint

Best Alternatives	Context / RAM	Downloads	Likes
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
GRPO 4 70	256K / 8.1 GB	10	0
Fable Traces	256K / 8.1 GB	456	210
Lightning 4B	256K / 8.1 GB	13	6
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
...pt Full Qwen3 4b Instruct 2507	256K / 8 GB	365	1
Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
Typhoon2.5 Qwen3 4B	256K / 8 GB	489877	6

Note: green Score (e.g. "73.2") means that the model is better than ermiaazarkhalili/FastContext-4B-RL_base-SFT-Fable5-Glint.