What are the hardware requirements for Augmentoolkit DataSpecialist V0.1?

Augmentoolkit DataSpecialist V0.1 requires approximately 14.5 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 Augmentoolkit DataSpecialist V0.1 and how large is it?

Augmentoolkit DataSpecialist V0.1 is developed by Heralax, a model with 7b 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 Augmentoolkit DataSpecialist V0.1?

Augmentoolkit DataSpecialist V0.1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Augmentoolkit DataSpecialist V0.1 by Heralax — VRAM 14.5GB, 32K context

Name: Augmentoolkit DataSpecialist V0.1
Author: Heralax

Augmentoolkit DataSpecialist V0.1 is an open-source language model by Heralax. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.18.

Axolotl Conversational Dataset:11 mil fineweb.jsonl Dataset:29 mil asstr.jsonl Dataset:40mil gutenberg.jsonl Dataset:bluemoon-6mil.json Dataset:hle-1 formatted 2mil.j... Dataset:multiturn segments sha... Dataset:multiturn segments sha... Dataset:openhermes2 5 shard 01... Dataset:openhermes2 5 shard 02... Dataset:openthoughts-1.parquet Dataset:openthoughts-2.parquet Dataset:qwq 10million.jsonl Dataset:singleturn segments sh... Dataset:singleturn segments sh... Endpoints compatible Generated from trainer Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Heralax/Augmentoolkit-DataSpecialist-v0.1

Augmentoolkit DataSpecialist V0.1 Parameters and Internals

LLM Name	Augmentoolkit DataSpecialist V0.1
Repository 🤗	https://huggingface.co/Heralax/Augmentoolkit-DataSpecialist-v0.1
Base Model(s)	Heralax/datagen-pretrain-v1-7b-mistralv0.2 Heralax/datagen-pretrain-v1-7b-mistralv0.2
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-07-23
Maintainer	Heralax
Model Type	mistral
Model Files	5.0 GB: 1-of-3 5.0 GB: 2-of-3 4.5 GB: 3-of-3 0.0 GB
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.3
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	32768
Torch Data Type	bfloat16

Rank the Augmentoolkit DataSpecialist 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

Best Alternatives to Augmentoolkit DataSpecialist V0.1

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	8018	17
Hebrew Mistral 7B 200K	256K / 30 GB	23	15
Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than Heralax/Augmentoolkit-DataSpecialist-v0.1.