What are the hardware requirements for Llama3 70B Instruct Mmlu College Medicine Af Mmlu Good?

Llama3 70B Instruct Mmlu College Medicine Af Mmlu Good requires approximately 141.9 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.

Where can I download or evaluate Llama3 70B Instruct Mmlu College Medicine Af Mmlu Good?

Llama3 70B Instruct Mmlu College Medicine Af Mmlu Good is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama3 70B Instruct Mmlu College Medicine Af Mmlu Good by AdamKasumovic — VRAM 141.9GB, 8K context

Name: Llama3 70B Instruct Mmlu College Medicine Af Mmlu Good
Author: AdamKasumovic

Llama3 70B Instruct Mmlu College Medicine Af Mmlu Good is an open-source language model by AdamKasumovic. Features: 70b LLM, VRAM: 141.9GB, Context: 8K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.13.

4bit Base model:finetune:unsloth/ll... Base model:unsloth/llama-3-70b... Conversational En Endpoints compatible Instruct Llama Quantized Region:us Safetensors Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/AdamKasumovic/llama3-70b-instruct-mmlu-college-medicine-af-mmlu-good

Llama3 70B Instruct Mmlu College Medicine Af Mmlu Good Parameters and Internals

Model Type

text-generation-inference, transformers

Supported Languages

en (Proficient)

Training Details

Methodology:

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.

LLM Name	Llama3 70B Instruct Mmlu College Medicine Af Mmlu Good
Repository 🤗	https://huggingface.co/AdamKasumovic/llama3-70b-instruct-mmlu-college-medicine-af-mmlu-good
Base Model(s)	Llama 3 70B Instruct Bnb 4bit unsloth/llama-3-70b-Instruct-bnb-4bit
Model Size	70b
Required VRAM	141.9 GB
Updated	2026-09-25
Maintainer	AdamKasumovic
Model Type	llama
Instruction-Based	Yes
Model Files	4.6 GB: 1-of-30 4.7 GB: 2-of-30 5.0 GB: 3-of-30 5.0 GB: 4-of-30 4.7 GB: 5-of-30 4.7 GB: 6-of-30 4.7 GB: 7-of-30 5.0 GB: 8-of-30 5.0 GB: 9-of-30 4.7 GB: 10-of-30 4.7 GB: 11-of-30 4.7 GB: 12-of-30 5.0 GB: 13-of-30 5.0 GB: 14-of-30 4.7 GB: 15-of-30 4.7 GB: 16-of-30 4.7 GB: 17-of-30 5.0 GB: 18-of-30 5.0 GB: 19-of-30 4.7 GB: 20-of-30 4.7 GB: 21-of-30 4.7 GB: 22-of-30 5.0 GB: 23-of-30 5.0 GB: 24-of-30 4.7 GB: 25-of-30 4.7 GB: 26-of-30 4.7 GB: 27-of-30 5.0 GB: 28-of-30 5.0 GB: 29-of-30 2.1 GB: 30-of-30
Supported Languages	en
Quantization Type	4bit
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.2
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|reserved_special_token_250\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama3 70B Instruct Mmlu College Medicine Af Mmlu Good 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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