What are the hardware requirements for Mllama 3.1 8B It?

Mllama 3.1 8B It 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 Mllama 3.1 8B It and how large is it?

Mllama 3.1 8B It is developed by ehristoforu, 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 Mllama 3.1 8B It?

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

Mllama 3.1 8B It by ehristoforu — VRAM 16.1GB, 128K context

Name: Mllama 3.1 8B It
Author: ehristoforu

Mllama 3.1 8B It is an open-source language model by ehristoforu. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, Merged, LLM Explorer Score: 0.22.

Merged Model Arxiv:2306.01708 Base model:arcee-ai/llama-3.1-... Base model:dphn/dolphin-2.9.4-... Base model:nousresearch/hermes... Base model:simpleberry/llama-o... Base model:skywork/skywork-o1-... Base model:unsloth/meta-llama-... Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ehristoforu/mllama-3.1-8b-it

Mllama 3.1 8B It Parameters and Internals

LLM Name	Mllama 3.1 8B It
Repository 🤗	https://huggingface.co/ehristoforu/mllama-3.1-8b-it
Base Model(s)	cognitivecomputations/dolphin-2.9.4-llama3.1-8b Skywork/Skywork-o1-Open-Llama-3.1-8B NousResearch/Hermes-3-Llama-3.1-8B unsloth/Meta-Llama-3.1-8B LLaMA O1 Base 1127 arcee-ai/Llama-3.1-SuperNova-Lite cognitivecomputations/dolphin-2.9.4-llama3.1-8b Skywork/Skywork-o1-Open-Llama-3.1-8B NousResearch/Hermes-3-Llama-3.1-8B unsloth/Meta-Llama-3.1-8B SimpleBerry/LLaMA-O1-Base-1127 arcee-ai/Llama-3.1-SuperNova-Lite
Merged Model	Yes
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-31
Maintainer	ehristoforu
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
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Mllama 3.1 8B It 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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Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
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...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
...xis Bookwriter Llama3.1 8B Sft	1048K / 16.1 GB	25	4

Note: green Score (e.g. "73.2") means that the model is better than ehristoforu/mllama-3.1-8b-it.