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

EPFL TA Meister 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 4bit and how large is it?

EPFL TA Meister 4bit is developed by PeterAM4, a model with 8.2b 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 4bit?

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

Name: EPFL TA Meister 4bit
Author: PeterAM4

EPFL TA Meister 4bit is an open-source language model by PeterAM4. Features: 8.2b LLM, VRAM: 5.8GB, Context: 8K, Quantized, LLM Explorer Score: 0.13.

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

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

EPFL TA Meister 4bit Parameters and Internals

LLM Name	EPFL TA Meister 4bit
Repository 🤗	https://huggingface.co/PeterAM4/EPFL-TA-Meister-4bit
Model Size	8.2b
Required VRAM	5.8 GB
Updated	2026-08-08
Maintainer	PeterAM4
Model Type	llama
Model Files	4.7 GB: 1-of-2 1.1 GB: 2-of-2
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

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

Best Alternatives	Context / RAM	Downloads	Likes
KernelLLM Bnb 4bit	128K / 5.7 GB	9	1
KernelLLM Unsloth Bnb 4bit	128K / 6 GB	6	2
Llama3.1 Merged	128K / 5.8 GB	6	0
Book 4bitV5	8K / 5.8 GB	6	0
Book 4bit	8K / 5.8 GB	6	0
Llama3 Ko 4bit	8K / 5.8 GB	5	0
Ko Pt Model Test1	8K / 16.4 GB	2027	0
Maqa Llama 4bit	8K / 5.8 GB	9	0
Hola	8K / 5.8 GB	6	0
Llama SciQ 4bits	8K / 5.8 GB	12	0

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