What are the hardware requirements for EPFL TA Meister AWQ 4bit?

EPFL TA Meister AWQ 4bit requires approximately 5.8 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed EPFL TA Meister AWQ 4bit and how large is it?

EPFL TA Meister AWQ 4bit is developed by PeterAM4, a model with 2b 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 EPFL TA Meister AWQ 4bit?

EPFL TA Meister AWQ 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

EPFL TA Meister AWQ 4bit by PeterAM4 — VRAM 5.8GB, 8K context

Name: EPFL TA Meister AWQ 4bit
Author: PeterAM4

EPFL TA Meister AWQ 4bit is an open-source language model by PeterAM4. Features: 2b LLM, VRAM: 5.8GB, Context: 8K, Quantized, LLM Explorer Score: 0.12.

Arxiv:1910.09700 4-bit 4bit Autotrain compatible Awq Endpoints compatible Llama Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/PeterAM4/EPFL-TA-Meister-AWQ-4bit

EPFL TA Meister AWQ 4bit Parameters and Internals

LLM Name	EPFL TA Meister AWQ 4bit
Repository 🤗	https://huggingface.co/PeterAM4/EPFL-TA-Meister-AWQ-4bit
Model Size	2b
Required VRAM	5.8 GB
Updated	2025-09-23
Maintainer	PeterAM4
Model Type	llama
Model Files	4.7 GB: 1-of-2 1.1 GB: 2-of-2
AWQ Quantization	Yes
Quantization Type	awq\|4bit
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.42.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the EPFL TA Meister AWQ 4bit 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 EPFL TA Meister AWQ 4bit

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MiniCPM5 2B AWQ 8bit	128K / 3.2 GB	28	2
MiniCPM5 2B AWQ 4bit	128K / 2.2 GB	34	1
Drug Profile Llama 3 AWQ	8K / 5.8 GB	11	0
...t Agents Llama3 4.0.22 DPO AWQ	8K / 5.8 GB	7	0
Llama3 AWQ Hermes 2 Theta	8K / 5.8 GB	6	0
...T Agents Llama3 5.0.77 DPO AWQ	8K / 5.8 GB	5	0
Semiconductor Llama3 V2 AWQ	8K / 5.8 GB	0	0
MiniCPM5 2B Chat Mlx 4bit	128K / 1.4 GB	232	2
MiniCPM5 2B 8bit	128K / 2.7 GB	734	6
MiniCPM5 2B OptiQ 4bit	128K / 1.9 GB	317	3

Note: green Score (e.g. "73.2") means that the model is better than PeterAM4/EPFL-TA-Meister-AWQ-4bit.