What are the hardware requirements for Starchat2 15B Sft V0.1?

Starchat2 15B Sft V0.1 requires approximately 31.9 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Starchat2 15B Sft V0.1 and how large is it?

Starchat2 15B Sft V0.1 is developed by HuggingFaceH4, a model with 15b 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 Starchat2 15B Sft V0.1?

Starchat2 15B Sft V0.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Starchat2 15B Sft V0.1 by HuggingFaceH4 — VRAM 31.9GB, 16K context

Name: Starchat2 15B Sft V0.1
Author: HuggingFaceH4

Starchat2 15B Sft V0.1 is an open-source language model by HuggingFaceH4. Features: 15b LLM, VRAM: 31.9GB, Context: 16K, License: bigcode-openrail-m, LLM Explorer Score: 0.11.

Alignment-handbook Base model:bigcode/starcoder2-... Base model:finetune:bigcode/st... Conversational Dataset:huggingfaceh4/airoboro... Dataset:huggingfaceh4/capybara Dataset:huggingfaceh4/code-fee... Dataset:huggingfaceh4/orca-mat... Dataset:huggingfaceh4/systemch... Endpoints compatible Generated from trainer Region:us Safetensors Sharded Starcoder2 Tensorboard Tensorflow

Model Card on HF 🤗: https://huggingface.co/HuggingFaceH4/starchat2-15b-sft-v0.1

Starchat2 15B Sft V0.1 Parameters and Internals

Training Details

Data Sources:

HuggingFaceH4/airoboros-3.2, HuggingFaceH4/Code-Feedback, HuggingFaceH4/orca-math-word-problems-200k, HuggingFaceH4/SystemChat, HuggingFaceH4/capybara

Hardware Used:

16 multi-GPU devices

LLM Name	Starchat2 15B Sft V0.1
Repository 🤗	https://huggingface.co/HuggingFaceH4/starchat2-15b-sft-v0.1
Base Model(s)	Starcoder2 15B bigcode/starcoder2-15b
Model Size	15b
Required VRAM	31.9 GB
Updated	2026-08-07
Maintainer	HuggingFaceH4
Model Type	starcoder2
Model Files	4.9 GB: 1-of-7 5.0 GB: 2-of-7 5.0 GB: 3-of-7 5.0 GB: 4-of-7 5.0 GB: 5-of-7 5.0 GB: 6-of-7 2.0 GB: 7-of-7 0.0 GB
Model Architecture	Starcoder2ForCausalLM
License	bigcode-openrail-m
Context Length	16384
Model Max Length	16384
Transformers Version	4.39.0.dev0
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|im_end\|>
Vocabulary Size	49154
Torch Data Type	bfloat16

Rank the Starchat2 15B Sft V0.1 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

Quantized Models of the Starchat2 15B Sft V0.1

Model	Likes	Downloads	VRAM
Starchat2 15B V0.1 AWQ	0	5	9 GB

Best Alternatives to Starchat2 15B Sft V0.1

Best Alternatives	Context / RAM	Downloads	Likes
Starcoder2 15B	16K / 63.8 GB	8388	674
Starcoder2 15B Instruct V0.1	16K / 31.9 GB	597	105
Starcoder2 15B Finetuned Drake	16K / 63.8 GB	7	0
CodeFuse StarCoder2 15B	16K / 31.9 GB	18	1
Starchat2 15B V0.1	16K / 31.9 GB	352	112
Starcoder2 15B Instruct V0.1	16K / 53.4 GB	25	0
...aceH4 Starchat2 15B V0.1 4bits	16K / 9.9 GB	7	0
Dolphincoder Starcoder2 15B	16K / 31.9 GB	84	69
Dolphincoder Starcoder2 15B	16K / 31.9 GB	17	68
Starcoder2 15B Instruct	16K / 31.9 GB	6	7

Note: green Score (e.g. "73.2") means that the model is better than HuggingFaceH4/starchat2-15b-sft-v0.1.