What are the hardware requirements for LMCocktail Phi 2 V1?

LMCocktail Phi 2 V1 requires approximately 5.6 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LMCocktail Phi 2 V1 and how large is it?

LMCocktail Phi 2 V1 is developed by Yhyu13, 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 LMCocktail Phi 2 V1?

LMCocktail Phi 2 V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LMCocktail Phi 2 V1 by Yhyu13 — VRAM 5.6GB

Name: LMCocktail Phi 2 V1
Author: Yhyu13

LMCocktail Phi 2 V1 is an open-source language model by Yhyu13. Features: 2.8b LLM, VRAM: 5.6GB, LLM Explorer Score: 0.1.

Arxiv:2311.13534 Custom code Endpoints compatible Phi-msft Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Yhyu13/LMCocktail-phi-2-v1

LMCocktail Phi 2 V1 Parameters and Internals

LLM Name	LMCocktail Phi 2 V1
Repository 🤗	https://huggingface.co/Yhyu13/LMCocktail-phi-2-v1
Model Size	2.8b
Required VRAM	5.6 GB
Updated	2026-07-26
Maintainer	Yhyu13
Model Type	phi-msft
Model Files	5.0 GB: 1-of-2 0.6 GB: 2-of-2
Model Architecture	PhiForCausalLM
Model Max Length	2048
Transformers Version	4.36.2
Tokenizer Class	CodeGenTokenizer
Vocabulary Size	51200
Torch Data Type	float16
Activation Function	gelu_new

Rank the LMCocktail Phi 2 V1 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

Quantized Models of the LMCocktail Phi 2 V1

Model	Likes	Downloads	VRAM
LMCocktail Phi 2 V1 GGUF	4	378	1 GB
LMCocktail Phi 2 V1 GPTQ	1	6	1 GB

Best Alternatives to LMCocktail Phi 2 V1

Best Alternatives	Context / RAM	Downloads
MFANN3bv0.24	128K / 11.1 GB	6
MFANN3b	128K / 11.1 GB	86
MFANN3bv1.4	128K / 11.1 GB	8
MFANN Phigments Slerp V3.2	128K / 5.6 GB	6
MFANN3bv1.3	128K / 11.1 GB	14
MFANN3bv0.23	128K / 11.1 GB	10
MFANN3bv1.1	128K / 11.1 GB	10
MFANN3bv1.5	128K / 11.1 GB	8
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 Yhyu13/LMCocktail-phi-2-v1.