What are the hardware requirements for Qwen3.8 27B GPTQ INT4 FP8KV?

Qwen3.8 27B GPTQ INT4 FP8KV requires approximately 20.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 27B GPTQ INT4 FP8KV and how large is it?

Qwen3.8 27B GPTQ INT4 FP8KV is developed by abhishekchohan, a model with 27b 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 Qwen3.8 27B GPTQ INT4 FP8KV?

Qwen3.8 27B GPTQ INT4 FP8KV is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 27B GPTQ INT4 FP8KV by abhishekchohan — VRAM 20.2GB

Name: Qwen3.8 27B GPTQ INT4 FP8KV
Author: abhishekchohan

Qwen3.8 27B GPTQ INT4 FP8KV is an open-source language model by abhishekchohan. Features: 27b LLM, VRAM: 20.2GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.37.

Base model:quantized:qwen/qwen... Base model:qwen/qwen3.8-27b Compressed-tensors Conversational Dataset:nvidia/nemotron-sft-in... Dataset:nvidia/nemotron-sft-ma... Dataset:nvidia/nemotron-sft-mu... Dataset:nvidia/nemotron-sft-sc... Dataset:nvidia/nemotron-sft-sw... Endpoints compatible Fp8-kv-cache Gptq Image-text-to-text Imatrix Instruct Int4 Llm-compressor Long-context Quantized Qwen3 5 Region:us Safetensors Sharded Speculative-decoding Tensorflow Vllm W4a16

Model Card on HF 🤗: https://huggingface.co/abhishekchohan/Qwen3.8-27B-GPTQ-INT4-FP8KV

Qwen3.8 27B GPTQ INT4 FP8KV Parameters and Internals

LLM Name	Qwen3.8 27B GPTQ INT4 FP8KV
Repository 🤗	https://huggingface.co/abhishekchohan/Qwen3.8-27B-GPTQ-INT4-FP8KV
Base Model(s)	Qwen/Qwen3.8-27B Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	20.2 GB
Updated	2026-08-27
Maintainer	abhishekchohan
Model Type	qwen3_5
Instruction-Based	Yes
Model Files	2.5 GB: 1-of-6 4.0 GB: 2-of-6 4.0 GB: 3-of-6 4.0 GB: 4-of-6 4.0 GB: 5-of-6 1.7 GB: 6-of-6 0.8 GB
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.10.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.8 27B GPTQ INT4 FP8KV 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

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