What are the hardware requirements for Mistral 7B V2 Selfplay?

Mistral 7B V2 Selfplay requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mistral 7B V2 Selfplay and how large is it?

Mistral 7B V2 Selfplay is developed by azarafrooz, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does Mistral 7B V2 Selfplay perform on standard benchmarks?

Mistral 7B V2 Selfplay has the following published scores: MMLU 60.71. Compare against reference models on this page or on the LLM Explorer leaderboards.

Mistral 7B V2 Selfplay by azarafrooz — VRAM 0.2GB

Name: Mistral 7B V2 Selfplay
Author: azarafrooz

Mistral 7B V2 Selfplay is an open-source language model by azarafrooz. Features: 7b LLM, VRAM: 0.2GB, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.13, Arc: 63, HellaSwag: 85, MMLU: 60.7, GSM8K: 39.8.

Arxiv:1910.09700 Adapter Base model:adapter:mistralai/m... Base model:mistralai/mistral-7... Dataset:dibt/10k prompts ranke... Finetuned Instruct Lora Peft Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/azarafrooz/mistral-7b-v2-selfplay

Mistral 7B V2 Selfplay Parameters and Internals

LLM Name	Mistral 7B V2 Selfplay
Repository 🤗	https://huggingface.co/azarafrooz/mistral-7b-v2-selfplay
Base Model(s)	mistralai/Mistral-7B-Instruct-v0.2 mistralai/Mistral-7B-Instruct-v0.2
Model Size	7b
Required VRAM	0.2 GB
Updated	2026-07-25
Maintainer	azarafrooz
Instruction-Based	Yes
Model Files	0.2 GB
Model Architecture	Adapter
License	apache-2.0
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	down_proj\|o_proj\|gate_proj\|k_proj\|v_proj\|q_proj\|up_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16

Rank the Mistral 7B V2 Selfplay 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 Mistral 7B V2 Selfplay

Best Alternatives	Context / RAM	Downloads	Likes
Qwen Megumin	0K / 0.1 GB	11	1
Mistral 7B Instruct Vi Alpaca	0K / 0.4 GB	5	0
Mistral 7B Instruct Sa V0.1	0K / 0 GB	9	0
Deepthink Reasoning Adapter	0K / 0.2 GB	16	3
Qwen2.5 7b NotesCorrector	0K / 0.6 GB	10	0
Mistral 7B Selfplay V0	0K / 0.2 GB	5	0
...82 6142 45d8 9455 Bc68ca4866eb	0K / 1.2 GB	5	0
...Sql Flash Attention 2 Dataeval	0K / 1.9 GB	18	3
Text To Rule Mistral 2	0K / 0.3 GB	5	0
...al 7B Instruct V0.3 1719341325	0K / 1.7 GB	10	0

Note: green Score (e.g. "73.2") means that the model is better than azarafrooz/mistral-7b-v2-selfplay.