What are the hardware requirements for Diallm Qwen Sft Ind?

Diallm Qwen Sft Ind 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 Diallm Qwen Sft Ind and how large is it?

Diallm Qwen Sft Ind is developed by jordanpainter, a model with 8.2b 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 Diallm Qwen Sft Ind?

Diallm Qwen Sft Ind is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Diallm Qwen Sft Ind by jordanpainter — VRAM 16.4GB, 40K context

Name: Diallm Qwen Sft Ind
Author: jordanpainter

Diallm Qwen Sft Ind is an open-source language model by jordanpainter. Features: 8.2b LLM, VRAM: 16.4GB, Context: 40K, LLM Explorer Score: 0.23.

Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/jordanpainter/diallm-qwen-sft-ind

Diallm Qwen Sft Ind Parameters and Internals

LLM Name	Diallm Qwen Sft Ind
Repository 🤗	https://huggingface.co/jordanpainter/diallm-qwen-sft-ind
Model Size	8.2b
Required VRAM	16.4 GB
Updated	2026-06-06
Maintainer	jordanpainter
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
Model Architecture	Qwen3ForCausalLM
Context Length	40960
Model Max Length	40960
Transformers Version	4.57.6
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Errors	replace

Rank the Diallm Qwen Sft Ind 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 Diallm Qwen Sft Ind

Best Alternatives	Context / RAM	Downloads
...nical Understanding Model V2.1	128K / 16.4 GB	7
...en 3 Panda Agi 3.3 DPO 8epochs	80K / 16.4 GB	71
Intern S1 Mini Lm	64K / 16.4 GB	307
Diallm Qwen Sft Aus	40K / 16.4 GB	46
Diallm Qwen Sft Brit	40K / 16.4 GB	36
Diallm Qwen Sft All	40K / 16.4 GB	7
S V3 1ep	40K / 16.4 GB	5
...wen Hook Layer 9 Posneg Merged	40K / 16.4 GB	42
... Hook Layer 9 Step 1000 Merged	40K / 16.4 GB	8
...b5 48d5 412d 9d91 A04b992fc59f	32K / 32.7 GB	7

Note: green Score (e.g. "73.2") means that the model is better than jordanpainter/diallm-qwen-sft-ind.