What are the hardware requirements for Tesslate Sft 9B V3 Step 80?

Tesslate Sft 9B V3 Step 80 requires approximately 18.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Tesslate Sft 9B V3 Step 80 and how large is it?

Tesslate Sft 9B V3 Step 80 is developed by smirki, a model with 9b 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 Tesslate Sft 9B V3 Step 80?

Tesslate Sft 9B V3 Step 80 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Tesslate Sft 9B V3 Step 80 by smirki — VRAM 18.8GB

Name: Tesslate Sft 9B V3 Step 80
Author: smirki

Tesslate Sft 9B V3 Step 80 is an open-source language model by smirki. Features: 9b LLM, VRAM: 18.8GB.

Qwen3 5 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/smirki/tesslate-sft-9b-v3-step-80

Tesslate Sft 9B V3 Step 80 Parameters and Internals

LLM Name	Tesslate Sft 9B V3 Step 80
Repository 🤗	https://huggingface.co/smirki/tesslate-sft-9b-v3-step-80
Model Size	9b
Required VRAM	18.8 GB
Updated	2026-10-06
Maintainer	smirki
Model Type	qwen3_5
Model Files	18.8 GB
Model Architecture	Qwen3_5ForConditionalGeneration
Model Max Length	262144
Transformers Version	5.3.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Tesslate Sft 9B V3 Step 80 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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Qwen3.8 Distilled 9B NPU2	256K / GB	3511	4
MiMo V2.6 Distill Qwen 9B	0K / 18.8 GB	5705	429
Qwen3.5 9B	0K / 19.3 GB	12207758	1799
Qwable 9B Claude Fable 5	0K / 18.8 GB	1088	115
Ornith 1.0 9B	0K / 18.8 GB	942519	551
LensVLM 9B	0K / 18.8 GB	1840	258
Qwythos 9B Claude Mythos 5 1M	0K / 18.8 GB	37427	906
Negentropy Claude Opus 4.7 9B	0K / 18.8 GB	63	26
Qwen3.8 9B Distill	0K / 19.3 GB	5839	148
Qwythos 9B V2	0K / 19.3 GB	19208	156

Note: green Score (e.g. "73.2") means that the model is better than smirki/tesslate-sft-9b-v3-step-80.