What are the hardware requirements for Mistral Ft Optimized 1218 NeuralHermes 2.5 Mistral 7B?

Mistral Ft Optimized 1218 NeuralHermes 2.5 Mistral 7B 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.

Where can I download or evaluate Mistral Ft Optimized 1218 NeuralHermes 2.5 Mistral 7B?

Mistral Ft Optimized 1218 NeuralHermes 2.5 Mistral 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral Ft Optimized 1218 NeuralHermes 2.5 Mistral 7B by rsh345 — VRAM 14.5GB, 32K context

Name: Mistral Ft Optimized 1218 NeuralHermes 2.5 Mistral 7B
Author: rsh345

Mistral Ft Optimized 1218 NeuralHermes 2.5 Mistral 7B is an open-source language model by rsh345. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, License: mit, Merged, LLM Explorer Score: 0.22.

Merged Model Autotrain compatible Base model:mlabonne/neuralherm... Base model:openpipe/mistral-ft... Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/rsh345/mistral-ft-optimized-1218-NeuralHermes-2.5-Mistral-7B

Mistral Ft Optimized 1218 NeuralHermes 2.5 Mistral 7B Parameters and Internals

LLM Name	Mistral Ft Optimized 1218 NeuralHermes 2.5 Mistral 7B
Repository 🤗	https://huggingface.co/rsh345/mistral-ft-optimized-1218-NeuralHermes-2.5-Mistral-7B
Base Model(s)	mlabonne/NeuralHermes-2.5-Mistral-7B Mistral Ft Optimized 1218 mlabonne/NeuralHermes-2.5-Mistral-7B OpenPipe/mistral-ft-optimized-1218
Merged Model	Yes
Model Size	7b
Required VRAM	14.5 GB
Updated	2025-02-01
Maintainer	rsh345
Model Type	mistral
Model Files	1.0 GB: 1-of-15 1.0 GB: 2-of-15 1.0 GB: 3-of-15 1.0 GB: 4-of-15 0.9 GB: 5-of-15 1.0 GB: 6-of-15 1.0 GB: 7-of-15 1.0 GB: 8-of-15 0.9 GB: 9-of-15 1.0 GB: 10-of-15 1.0 GB: 11-of-15 1.0 GB: 12-of-15 0.9 GB: 13-of-15 1.0 GB: 14-of-15 0.8 GB: 15-of-15
Model Architecture	MistralForCausalLM
License	mit
Context Length	32768
Model Max Length	32768
Transformers Version	4.47.1
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	bfloat16

Rank the Mistral Ft Optimized 1218 NeuralHermes 2.5 Mistral 7B capabilities

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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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