What are the hardware requirements for MistralPh3 4B Slerp?

MistralPh3 4B Slerp requires approximately 7.8 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed MistralPh3 4B Slerp and how large is it?

MistralPh3 4B Slerp is developed by allknowingroger, a model with 4b 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 MistralPh3 4B Slerp?

MistralPh3 4B Slerp is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

MistralPh3 4B Slerp by allknowingroger — VRAM 7.8GB, 4K context

Name: MistralPh3 4B Slerp
Author: allknowingroger

MistralPh3 4B Slerp is an open-source language model by allknowingroger. Features: 4b LLM, VRAM: 7.8GB, Context: 4K, License: apache-2.0, Instruction-Based, Merged, LLM Explorer Score: 0.13.

Merged Model Autotrain compatible Base model:danielbrdz/barcenas... Base model:unsloth/phi-3-mini-... Conversational Danielbrdz/barcenas-3.8b Endpoints compatible Instruct Mistral Region:us Safetensors Sharded Tensorflow Unsloth/phi-3-mini-4k-instruct

Model Card on HF 🤗: https://huggingface.co/allknowingroger/MistralPh3-4B-slerp

MistralPh3 4B Slerp Parameters and Internals

LLM Name	MistralPh3 4B Slerp
Repository 🤗	https://huggingface.co/allknowingroger/MistralPh3-4B-slerp
Base Model(s)	Phi 3 Mini 4K Instruct Danielbrdz/Barcenas-3.8b unsloth/Phi-3-mini-4k-instruct Danielbrdz/Barcenas-3.8b
Merged Model	Yes
Model Size	4b
Required VRAM	7.8 GB
Updated	2025-09-23
Maintainer	allknowingroger
Model Type	mistral
Instruction-Based	Yes
Model Files	1.0 GB: 1-of-8 1.0 GB: 2-of-8 1.0 GB: 3-of-8 1.0 GB: 4-of-8 1.0 GB: 5-of-8 1.0 GB: 6-of-8 1.0 GB: 7-of-8 0.8 GB: 8-of-8
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.41.1
Tokenizer Class	LlamaTokenizer
Padding Token	<\|placeholder6\|>
Vocabulary Size	32064
Torch Data Type	bfloat16

Rank the MistralPh3 4B Slerp 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 MistralPh3 4B Slerp

Best Alternatives	Context / RAM	Downloads	Likes
Ministral 4B Fork	32K / 9 GB	9	0
Ministral 4B Instruct	32K / 8.9 GB	100	8
...mail Search Phi3 Vllm Model 4b	4K / 2.3 GB	7	0
Athena CodePhi 4B 4K V0.1	4K / 7.6 GB	19	1

Note: green Score (e.g. "73.2") means that the model is better than allknowingroger/MistralPh3-4B-slerp.