What are the hardware requirements for Rag Tge Pl Llama 3 8B?

Rag Tge Pl Llama 3 8B requires approximately 16.1 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 Rag Tge Pl Llama 3 8B and how large is it?

Rag Tge Pl Llama 3 8B is developed by tdolega, a model with 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 Rag Tge Pl Llama 3 8B?

Rag Tge Pl Llama 3 8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Rag Tge Pl Llama 3 8B by tdolega — VRAM 16.1GB, 8K context

Name: Rag Tge Pl Llama 3 8B
Author: tdolega

Rag Tge Pl Llama 3 8B is an open-source language model by tdolega. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: llama3, Quantized, Instruction-Based, LLM Explorer Score: 0.12.

Conversational Dataset:tdolega/rag-tge finetu... Endpoints compatible Ggml Gguf Instruct Llama Pl Q8 Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/tdolega/rag-tge_pl_Llama-3-8B

Rag Tge Pl Llama 3 8B Parameters and Internals

Model Type

text generation

Additional Notes

Finetuned for rag-tge project, available in safetensors BF16 and GGUF Q8.

Supported Languages

pl (unknown)

Training Details

Data Sources:

https://huggingface.co/datasets/tdolega/rag-tge_finetuning-dataset_pl

LLM Name	Rag Tge Pl Llama 3 8B
Repository 🤗	https://huggingface.co/tdolega/rag-tge_pl_Llama-3-8B
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-30
Maintainer	tdolega
Model Type	llama
Instruction-Based	Yes
Model Files	8.5 GB 5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	pl
GGML Quantization	Yes
GGUF Quantization	Yes
Quantization Type	ggml\|q8\|gguf
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.0
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|end_of_text\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Rag Tge Pl Llama 3 8B 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

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Note: green Score (e.g. "73.2") means that the model is better than tdolega/rag-tge_pl_Llama-3-8B.