What are the hardware requirements for Medphi2?

Medphi2 requires approximately 5.6 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Medphi2 and how large is it?

Medphi2 is developed by bluesky333, a model with 2.8b 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 Medphi2?

Medphi2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Medphi2 by bluesky333 — VRAM 5.6GB, 2K context

Name: Medphi2
Author: bluesky333

Medphi2 is an open-source language model by bluesky333. Features: 2.8b LLM, VRAM: 5.6GB, Context: 2K, License: mit, LLM Explorer Score: 0.14.

Arxiv:2406.06331 Biology Code Custom code En Medical Phi Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/bluesky333/medphi2

Medphi2 Benchmarks

LLME Score: 0.13524

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

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Medphi2 Parameters and Internals

Model Type

Clinical LLM (Large Language Model)

Supported Languages

English (NLP)

LLM Name	Medphi2
Repository 🤗	https://huggingface.co/bluesky333/medphi2
Model Size	2.8b
Required VRAM	5.6 GB
Updated	2026-05-09
Maintainer	bluesky333
Model Type	phi
Model Files	5.0 GB: 1-of-2 0.6 GB: 2-of-2
Supported Languages	en
Model Architecture	PhiForCausalLM
License	mit
Context Length	2048
Model Max Length	2048
Transformers Version	4.37.1
Tokenizer Class	CodeGenTokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	51200
Torch Data Type	bfloat16
Errors	replace

Best Alternatives to Medphi2

Best Alternatives	Context / RAM	Downloads
MFANN3bv0.24	128K / 11.1 GB	5
MFANN3b	128K / 11.1 GB	168
MFANN3bv1.4	128K / 11.1 GB	5
MFANN Phigments Slerp V3.2	128K / 5.6 GB	7
MFANN3bv1.3	128K / 11.1 GB	9
MFANN3bv0.23	128K / 11.1 GB	5
MFANN3bv1.1	128K / 11.1 GB	5
MFANN3bv1.5	128K / 11.1 GB	5
MFANN Liminerity Slerp 4a	128K / 5.6 GB	7
MFANN3b Rebase	128K / 11.1 GB	7

Note: green Score (e.g. "73.2") means that the model is better than bluesky333/medphi2.

Rank the Medphi2 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20260328a

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Medphi2 by bluesky333

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Medphi2 Benchmarks

Medphi2 Parameters and Internals

Best Alternatives to Medphi2

Rank the Medphi2 Capabilities

What open-source LLMs or SLMs are you in search of? 53972 in total.