What are the hardware requirements for Mistral 7B Model 45k6e2e4?

Mistral 7B Model 45k6e2e4 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 Mistral 7B Model 45k6e2e4 and how large is it?

Mistral 7B Model 45k6e2e4 is developed by pankajmathur, 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 Model 45k6e2e4?

Mistral 7B Model 45k6e2e4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral 7B Model 45k6e2e4 by pankajmathur — VRAM 14.5GB, 32K context

Name: Mistral 7B Model 45k6e2e4
Author: pankajmathur

Mistral 7B Model 45k6e2e4 is an open-source language model by pankajmathur. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.09.

Dataset:pankajmathur/alpaca or... Dataset:pankajmathur/dolly-v2 ... Dataset:pankajmathur/orca mini... Dataset:pankajmathur/wizardlm ... En Endpoints compatible Mistral Pytorch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/pankajmathur/Mistral-7B-model_45k6e2e4

Mistral 7B Model 45k6e2e4 Parameters and Internals

Model Type

text generation

Additional Notes

This model is trained on Mistral-7B-v0.1 and may produce biased or offensive content. Users should exercise caution.

Supported Languages

en (fluent)

LLM Name	Mistral 7B Model 45k6e2e4
Repository 🤗	https://huggingface.co/pankajmathur/Mistral-7B-model_45k6e2e4
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-08-08
Maintainer	pankajmathur
Model Type	mistral
Model Files	14.5 GB 14.5 GB
Supported Languages	en
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.34.0.dev0
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Mistral 7B Model 45k6e2e4 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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MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
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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 pankajmathur/Mistral-7B-model_45k6e2e4.