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 4.7b 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: 4.7b LLM, VRAM: 5.8GB, Context: 8K, Quantized, LLM Explorer Score: 0.13.

Arxiv:1910.09700 4-bit 4bit Autotrain compatible 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 Benchmarks

LLME Score: 0.13474

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

EPFL TA Meister 4bit (PeterAM4/EPFL-TA-Meister-4bit)

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EPFL TA Meister 4bit Parameters and Internals

LLM Name	EPFL TA Meister 4bit
Repository 🤗	https://huggingface.co/PeterAM4/EPFL-TA-Meister-4bit
Model Size	4.7b
Required VRAM	5.8 GB
Updated	2025-09-28
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

Best Alternatives to EPFL TA Meister 4bit

Best Alternatives	Context / RAM	Downloads
Llama3.1 Merged	128K / 5.8 GB	6
Book 4bitV5	8K / 5.8 GB	6
...loth Llama3.1 Instruct Bnb4bit	128K / 5.8 GB	6
Hola	8K / 5.8 GB	5
...ma3 Quantized 5epochs 24 06 04	8K / 5.8 GB	7

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

Rank the EPFL TA Meister 4bit Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

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EPFL TA Meister 4bit by PeterAM4

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EPFL TA Meister 4bit Benchmarks

EPFL TA Meister 4bit Parameters and Internals

Best Alternatives to EPFL TA Meister 4bit

Rank the EPFL TA Meister 4bit Capabilities

What open-source LLMs or SLMs are you in search of? 53999 in total.