What are the hardware requirements for Ushistory Llama 3.1 8B?

Ushistory Llama 3.1 8B requires approximately 6 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 Ushistory Llama 3.1 8B and how large is it?

Ushistory Llama 3.1 8B is developed by ambrosfitz, 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 Ushistory Llama 3.1 8B?

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

Ushistory Llama 3.1 8B by ambrosfitz — VRAM 6GB, 128K context

Name: Ushistory Llama 3.1 8B
Author: ambrosfitz

Ushistory Llama 3.1 8B is an open-source language model by ambrosfitz. Features: 8b LLM, VRAM: 6GB, Context: 128K, Quantized, Instruction-Based, LLM Explorer Score: 0.17.

4-bit 4bit Ap Base model:quantized:unsloth/m... Base model:unsloth/meta-llama-... Bitsandbytes Conversational En History Instruct Llama Quantized Region:us Safetensors Sharded Tensorflow United states

Model Card on HF 🤗: https://huggingface.co/ambrosfitz/ushistory_llama-3.1-8b

Ushistory Llama 3.1 8B Parameters and Internals

LLM Name	Ushistory Llama 3.1 8B
Repository 🤗	https://huggingface.co/ambrosfitz/ushistory_llama-3.1-8b
Base Model(s)	unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit
Model Size	8b
Required VRAM	6 GB
Updated	2026-07-19
Maintainer	ambrosfitz
Model Type	llama
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-2 1.1 GB: 2-of-2
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.49.0
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Ushistory Llama 3.1 8B 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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