What are the hardware requirements for PhigRange 2.7B Slerp?

PhigRange 2.7B Slerp 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 PhigRange 2.7B Slerp and how large is it?

PhigRange 2.7B Slerp is developed by johnsnowlabs, a model with 2.7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

How does PhigRange 2.7B Slerp perform on standard benchmarks?

PhigRange 2.7B Slerp has the following published scores: MMLU 23.38. Compare against reference models on this page or on the LLM Explorer leaderboards.

PhigRange 2.7B Slerp by johnsnowlabs — VRAM 5.6GB, 2K context

Name: PhigRange 2.7B Slerp
Author: johnsnowlabs

PhigRange 2.7B Slerp is an open-source language model by johnsnowlabs. Features: 2.7b LLM, VRAM: 5.6GB, Context: 2K, Merged, LLM Explorer Score: 0.16, Arc: 27.2, HellaSwag: 26.8, MMLU: 23.4.

Merged Model Autotrain compatible Base model:liminerity/phigment... Base model:rhysjones/phi-2-ora... Endpoints compatible Liminerity/phigments12 Phi Region:us Rhysjones/phi-2-orange-v2 Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/johnsnowlabs/PhigRange-2.7B-slerp

PhigRange 2.7B Slerp Parameters and Internals

LLM Name	PhigRange 2.7B Slerp
Repository 🤗	https://huggingface.co/johnsnowlabs/PhigRange-2.7B-slerp
Base Model(s)	Phigments12 Phi 2 Orange V2 liminerity/Phigments12 rhysjones/phi-2-orange-v2
Merged Model	Yes
Model Size	2.7b
Required VRAM	5.6 GB
Updated	2025-09-23
Maintainer	johnsnowlabs
Model Type	phi
Model Files	5.6 GB: 1-of-1
Model Architecture	PhiForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.39.3
Tokenizer Class	CodeGenTokenizer
Vocabulary Size	51200
Torch Data Type	bfloat16

Rank the PhigRange 2.7B Slerp 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

Best Alternatives to PhigRange 2.7B Slerp

Best Alternatives	Context / RAM	Downloads	Likes
PhigRange DPO	2K / 5.6 GB	12	1
Damysus 2.7B Chat	2K / 11.1 GB	68	4
JSL MedPhi2 2.7B	2K / 5.6 GB	25	3
Speculor 2.7B	2K / 5.6 GB	6	2
...atural Language To Cypher 2.7B	2K / 5.6 GB	7	0
Codephi 2.7B	2K / 5.6 GB	5	0
Phi 2.7B MERGED	0K / 5.6 GB	5	0
Samanthav2 2.7B	0K / 5.6 GB	3	1
Barcenas 2.7B	0K / 5.6 GB	19	1
Damysus 2.7B Chat GGUF	2K / 1.7 GB	160	0

Note: green Score (e.g. "73.2") means that the model is better than johnsnowlabs/PhigRange-2.7B-slerp.