What are the hardware requirements for Qwen3 8B SFT Fable5 Glint?

Qwen3 8B SFT Fable5 Glint requires approximately 16.4 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 8B SFT Fable5 Glint and how large is it?

Qwen3 8B SFT Fable5 Glint is developed by ermiaazarkhalili, a model with 8b 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 Qwen3 8B SFT Fable5 Glint?

Qwen3 8B SFT Fable5 Glint is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 8B SFT Fable5 Glint by ermiaazarkhalili — VRAM 16.4GB, 40K context

Name: Qwen3 8B SFT Fable5 Glint
Author: ermiaazarkhalili

Qwen3 8B SFT Fable5 Glint is an open-source language model by ermiaazarkhalili. Features: 8b LLM, VRAM: 16.4GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.27.

Base model:adapter:unsloth/qwe... Base model:unsloth/qwen3-8b Conversational Endpoints compatible Lora Qwen3 Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/ermiaazarkhalili/Qwen3-8B-SFT-Fable5-Glint

Qwen3 8B SFT Fable5 Glint Parameters and Internals

LLM Name	Qwen3 8B SFT Fable5 Glint
Repository 🤗	https://huggingface.co/ermiaazarkhalili/Qwen3-8B-SFT-Fable5-Glint
Base Model(s)	Qwen3 8B unsloth/Qwen3-8B
Model Size	8b
Required VRAM	16.4 GB
Updated	2026-08-07
Maintainer	ermiaazarkhalili
Model Type	qwen3
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 5.0 GB: 3-of-4 1.6 GB: 4-of-4
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen3ForCausalLM
License	apache-2.0
Context Length	40960
Model Max Length	40960
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen3 8B 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 Qwen3 8B SFT Fable5 Glint

Best Alternatives	Context / RAM	Downloads	Likes
PaCoRe 8B	320K / 1.2 GB	54	48
RLVR 8B 0926	320K / 1.2 GB	63	8
...n3 8B 320K Context 10X Massive	320K / 16.4 GB	20	0
...r Of Horror Jan V1 256K Ctx 8B	256K / 16.1 GB	33	3
... BIG Jan Horror V1 256K Ctx 8B	256K / 16.1 GB	44	0
Qwen3 8B 256K Context 8X Grand	256K / 16.4 GB	95	0
...wen3 8B 192K Context 6X Larger	192K / 16.4 GB	55	0
DeepSeek R1 0528 Qwen3 8B	128K / 16.4 GB	1762293	1082
...Reason 8B Pretrain Competition	128K / 16.8 GB	244	0
Marco DeepResearch 8B	128K / 16.3 GB	520	27

Note: green Score (e.g. "73.2") means that the model is better than ermiaazarkhalili/Qwen3-8B-SFT-Fable5-Glint.