What are the hardware requirements for Mistral 7B Finetuned Wiki?

Mistral 7B Finetuned Wiki requires approximately 0.3 GB of VRAM and supports a context window of 0.5K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mistral 7B Finetuned Wiki and how large is it?

Mistral 7B Finetuned Wiki is developed by Abhinit, 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 Mistral 7B Finetuned Wiki?

Mistral 7B Finetuned Wiki is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral 7B Finetuned Wiki by Abhinit — VRAM 0.3GB, 0.5K context

Name: Mistral 7B Finetuned Wiki
Author: Abhinit

Mistral 7B Finetuned Wiki is an open-source language model by Abhinit. Features: 7b LLM, VRAM: 0.3GB, Context: 0.5K, Fine-Tuned, LLM Explorer Score: 0.18.

Endpoints compatible Finetuned Generated from trainer Mistral Region:us Safetensors Tensorboard

Model Card on HF 🤗: https://huggingface.co/Abhinit/mistral-7b-finetuned-wiki

Mistral 7B Finetuned Wiki Parameters and Internals

LLM Name	Mistral 7B Finetuned Wiki
Repository 🤗	https://huggingface.co/Abhinit/mistral-7b-finetuned-wiki
Model Size	7b
Required VRAM	0.3 GB
Updated	2026-08-21
Maintainer	Abhinit
Model Type	mistral
Model Files	0.3 GB 0.0 GB
Model Architecture	MistralForCausalLM
Context Length	512
Model Max Length	512
Transformers Version	4.51.3
Tokenizer Class	LlamaTokenizer
Padding Token	<pad>
Vocabulary Size	32000
Torch Data Type	float32

Rank the Mistral 7B Finetuned Wiki 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 Finetuned Wiki

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 Abhinit/mistral-7b-finetuned-wiki.