What are the hardware requirements for Llama 3.1 Jamet 8B MK.I?

Llama 3.1 Jamet 8B MK.I requires approximately 16.1 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 3.1 Jamet 8B MK.I and how large is it?

Llama 3.1 Jamet 8B MK.I is developed by Hastagaras, 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 Llama 3.1 Jamet 8B MK.I?

Llama 3.1 Jamet 8B MK.I is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.1 Jamet 8B MK.I by Hastagaras — VRAM 16.1GB, 128K context

Name: Llama 3.1 Jamet 8B MK.I
Author: Hastagaras

Llama 3.1 Jamet 8B MK.I is an open-source language model by Hastagaras. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: llama3.1, LLM Explorer Score: 0.22.

Autotrain compatible Conversational Endpoints compatible Llama Model-index Not-for-all-audiences Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Hastagaras/Llama-3.1-Jamet-8B-MK.I

Llama 3.1 Jamet 8B MK.I Parameters and Internals

Model Type

text generation

Additional Notes

This model is uncensored and may vary in style and smartness.

Training Details

Data Sources:

C2logs that I cleaned a long time ago, Freedom RP, Stories from Reddit, Gemma data from argilla-warehouse/magpie-ultra-v1.0-gemma, Reflection data from PJMixers-Dev/Weyaxi_HelpSteer-filtered-Reflection-Gemini-1.5-Flash-ShareGPT, Toxic data from NobodyExistsOnTheInternet/ToxicQAFinal, personal RP and general data, with some generated by Gemini

Methodology:

Base model fine-tuning: lm_head, embed_tokens, first layer (0); fine-tuning again for layers 1-2; fine-tuning middle layers; using Lora, rank 64; merged Lora; final merge of models using ties.

LLM Name	Llama 3.1 Jamet 8B MK.I
Repository 🤗	https://huggingface.co/Hastagaras/Llama-3.1-Jamet-8B-MK.I
Model Size	8b
Required VRAM	16.1 GB
Updated	2025-09-23
Maintainer	Hastagaras
Model Type	llama
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Model Architecture	LlamaForCausalLM
License	llama3.1
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	float16

Rank the Llama 3.1 Jamet 8B MK.I 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

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