What are the hardware requirements for Qwen3 8B Base Sft Ultrachat 4xh200 Batch 128?

Qwen3 8B Base Sft Ultrachat 4xh200 Batch 128 requires approximately 32.7 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3 8B Base Sft Ultrachat 4xh200 Batch 128 and how large is it?

Qwen3 8B Base Sft Ultrachat 4xh200 Batch 128 is developed by jackf857, 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 Base Sft Ultrachat 4xh200 Batch 128?

Qwen3 8B Base Sft Ultrachat 4xh200 Batch 128 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3 8B Base Sft Ultrachat 4xh200 Batch 128 by jackf857 — VRAM 32.7GB, 32K context

Name: Qwen3 8B Base Sft Ultrachat 4xh200 Batch 128
Author: jackf857

Qwen3 8B Base Sft Ultrachat 4xh200 Batch 128 is an open-source language model by jackf857. Features: 8b LLM, VRAM: 32.7GB, Context: 32K, LLM Explorer Score: 0.23.

Alignment-handbook Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-8b-base Conversational Dataset:huggingfaceh4/ultracha... Endpoints compatible Generated from trainer Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/jackf857/qwen3-8b-base-sft-ultrachat-4xh200-batch-128

Qwen3 8B Base Sft Ultrachat 4xh200 Batch 128 Parameters and Internals

LLM Name	Qwen3 8B Base Sft Ultrachat 4xh200 Batch 128
Repository 🤗	https://huggingface.co/jackf857/qwen3-8b-base-sft-ultrachat-4xh200-batch-128
Base Model(s)	Qwen3 8B Base Qwen/Qwen3-8B-Base
Model Size	8b
Required VRAM	32.7 GB
Updated	2026-08-05
Maintainer	jackf857
Model Type	qwen3
Model Files	5.0 GB: 1-of-7 4.8 GB: 2-of-7 4.8 GB: 3-of-7 5.0 GB: 4-of-7 4.8 GB: 5-of-7 4.8 GB: 6-of-7 3.5 GB: 7-of-7
Model Architecture	Qwen3ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	float32
Errors	replace

Rank the Qwen3 8B Base Sft Ultrachat 4xh200 Batch 128 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

Best Alternatives to Qwen3 8B Base Sft Ultrachat 4xh200 Batch 128

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 jackf857/qwen3-8b-base-sft-ultrachat-4xh200-batch-128.