What are the hardware requirements for Ymail Search Phi3 Vllm Model 4B?

Ymail Search Phi3 Vllm Model 4B requires approximately 2.3 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 Ymail Search Phi3 Vllm Model 4B and how large is it?

Ymail Search Phi3 Vllm Model 4B is developed by kevin36524, 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 Ymail Search Phi3 Vllm Model 4B?

Ymail Search Phi3 Vllm Model 4B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Ymail Search Phi3 Vllm Model 4B by kevin36524 — VRAM 2.3GB, 4K context

Name: Ymail Search Phi3 Vllm Model 4B
Author: kevin36524

Ymail Search Phi3 Vllm Model 4B is an open-source language model by kevin36524. Features: 4b LLM, VRAM: 2.3GB, Context: 4K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

4-bit 4bit Bitsandbytes Conversational En Endpoints compatible Instruct Mistral Quantized Region:us Safetensors Sft Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/kevin36524/ymail_search_phi3_vllm_model_4b

Ymail Search Phi3 Vllm Model 4B Parameters and Internals

Model Type

text-generation-inference, transformers, unsloth, mistral, trl, sft

Additional Notes

This mistral model was trained 2x faster using the Unsloth framework and Huggingface's TRL library.

LLM Name	Ymail Search Phi3 Vllm Model 4b
Repository 🤗	https://huggingface.co/kevin36524/ymail_search_phi3_vllm_model_4b
Base Model(s)	unsloth/phi-3-mini-4k-instruct-bnb-4bit unsloth/phi-3-mini-4k-instruct-bnb-4bit
Model Size	4b
Required VRAM	2.3 GB
Updated	2026-06-30
Maintainer	kevin36524
Model Type	mistral
Instruction-Based	Yes
Model Files	2.3 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.41.2
Tokenizer Class	LlamaTokenizer
Padding Token	<\|placeholder6\|>
Vocabulary Size	32064
Torch Data Type	bfloat16

Rank the Ymail Search Phi3 Vllm Model 4B 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 Ymail Search Phi3 Vllm Model 4B

Best Alternatives	Context / RAM	Downloads	Likes
Athena CodePhi 4B 4K V0.1	4K / 7.6 GB	19	1
Ministral 4B Fork	32K / 9 GB	9	0
Ministral 4B Instruct	32K / 8.9 GB	100	8
MistralPh3 4B Slerp	4K / 7.8 GB	6	0

Note: green Score (e.g. "73.2") means that the model is better than kevin36524/ymail_search_phi3_vllm_model_4b.