What are the hardware requirements for Qwen3.8 Flash Coder 44gb Selective Int8?

Qwen3.8 Flash Coder 44gb Selective Int8 requires approximately 47.6 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 Qwen3.8 Flash Coder 44gb Selective Int8 and how large is it?

Qwen3.8 Flash Coder 44gb Selective Int8 is developed by Jab1718, a model with 42.6b 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 Flash Coder 44gb Selective Int8?

Qwen3.8 Flash Coder 44gb Selective Int8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 Flash Coder 44gb Selective Int8 by Jab1718 — VRAM 47.6GB, 256K context

Name: Qwen3.8 Flash Coder 44gb Selective Int8
Author: Jab1718

Qwen3.8 Flash Coder 44gb Selective Int8 is an open-source language model by Jab1718. Features: 42.6b LLM, VRAM: 47.6GB, Context: 256K, License: apache-2.0, MoE, Code Generating, LLM Explorer Score: 0.32.

8-bit Base model:finetune:jab1718/qw... Base model:jab1718/qwen3.8-fla... Code Codegen Coding-agent Conversational En Endpoints compatible Int8 Moe Moe-slice Qwen Qwen4 exp text Region:us Safetensors Selective-quantization Sharded Tensorflow Vi Vllm Zh

Model Card on HF 🤗: https://huggingface.co/Jab1718/qwen3.8-flash-coder-44gb-selective-int8

Qwen3.8 Flash Coder 44gb Selective Int8 Parameters and Internals

LLM Name	Qwen3.8 Flash Coder 44gb Selective Int8
Repository 🤗	https://huggingface.co/Jab1718/qwen3.8-flash-coder-44gb-selective-int8
Base Model(s)	Jab1718/qwen3.8-flash-coder-85gb-bf16 Jab1718/qwen3.8-flash-coder-85gb-bf16
Model Size	42.6b
Required VRAM	47.6 GB
Updated	2026-09-11
Maintainer	Jab1718
Model Type	qwen4_exp_text
Model Files	27.2 GB: 1-of-2 20.4 GB: 2-of-2
Supported Languages	en vi zh
Generates Code	Yes
Model Architecture	Qwen4ExpForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.16.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Qwen3.8 Flash Coder 44gb Selective Int8 capabilities

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Best Alternatives to Qwen3.8 Flash Coder 44gb Selective Int8

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 Flash Coder 85gb Bf16	256K / 85.2 GB	1123	21

Note: green Score (e.g. "73.2") means that the model is better than Jab1718/qwen3.8-flash-coder-44gb-selective-int8.