What are the hardware requirements for LMCocktail Phi 2 V1 GPTQ?

LMCocktail Phi 2 V1 GPTQ requires approximately 1.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

LMCocktail Phi 2 V1 GPTQ is developed by TheBloke, 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 GPTQ?

LMCocktail Phi 2 V1 GPTQ 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 GPTQ by TheBloke — VRAM 1.8GB

Name: LMCocktail Phi 2 V1 GPTQ
Author: TheBloke

LMCocktail Phi 2 V1 GPTQ is an open-source language model by TheBloke. Features: 2.8b LLM, VRAM: 1.8GB, Quantized, LLM Explorer Score: 0.1.

Arxiv:2311.13534 4-bit Base model:quantized:yhyu13/lm... Base model:yhyu13/lmcocktail-p... Custom code Gptq Phi-msft Quantized Region:us Safetensors

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

LMCocktail Phi 2 V1 GPTQ Parameters and Internals

LLM Name	LMCocktail Phi 2 V1 GPTQ
Repository 🤗	https://huggingface.co/TheBloke/LMCocktail-phi-2-v1-GPTQ
Model Name	LMCocktail Phi 2 v1
Model Creator	Yu
Base Model(s)	LMCocktail Phi 2 V1 Yhyu13/LMCocktail-phi-2-v1
Model Size	2.8b
Required VRAM	1.8 GB
Updated	2026-08-08
Maintainer	TheBloke
Model Type	phi-msft
Model Files	1.8 GB
GPTQ Quantization	Yes
Quantization Type	gptq
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 GPTQ 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 LMCocktail Phi 2 V1 GPTQ

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Phi 2 Quantize Gptq	2K / 1.8 GB	6	2
... 2 Electrical Engineering GPTQ	2K / 1.8 GB	9	7
Phi2 OSST GPTQ	2K / 1.8 GB	9	1
Phi 2 Orange GPTQ	0K / 1.8 GB	17	4
Phi 2 DPO GPTQ	0K / 1.8 GB	37	5
Phi 2 GPTQ	0K / 1.8 GB	65	30
Dolphin 2 6 Phi 2 GPTQ	0K / 1.8 GB	5	2
Bnb DPO 8bit	2K / 3 GB	7	0
Bnb DPO 8bit	2K / 3 GB	7	0
Phi 2 4bit 64rank	2K / 5.6 GB	13	0

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/LMCocktail-phi-2-v1-GPTQ.