What are the hardware requirements for Llama3 Function Calling 1048K?

Llama3 Function Calling 1048K requires approximately 141.9 GB of VRAM and supports a context window of 1024K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama3 Function Calling 1048K and how large is it?

Llama3 Function Calling 1048K is developed by ScaleGenAI, a model with 70b 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 Llama3 Function Calling 1048K?

Llama3 Function Calling 1048K is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama3 Function Calling 1048K by ScaleGenAI — VRAM 141.9GB, 1024K context

Name: Llama3 Function Calling 1048K
Author: ScaleGenAI

Llama3 Function Calling 1048K is an open-source language model by ScaleGenAI. Features: 70b LLM, VRAM: 141.9GB, Context: 1024K, License: llama3, Instruction-Based, LLM Explorer Score: 0.12.

Conversational Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/ScaleGenAI/llama3-function-calling-1048k

Llama3 Function Calling 1048K Parameters and Internals

LLM Name	Llama3 Function Calling 1048K
Repository 🤗	https://huggingface.co/ScaleGenAI/llama3-function-calling-1048k
Model Size	70b
Required VRAM	141.9 GB
Updated	2026-07-26
Maintainer	ScaleGenAI
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
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	1048576
Model Max Length	1048576
Transformers Version	4.41.0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	float16

Rank the Llama3 Function Calling 1048K 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

Best Alternatives to Llama3 Function Calling 1048K

Best Alternatives	Context / RAM	Downloads	Likes
... Chat 1048K Chinese Llama3 70B	1024K / 141.9 GB	9069	5
... Chat 1048K Chinese Llama3 70B	1024K / 141.9 GB	7684	4
... 3 70B Instruct Gradient 1048K	1024K / 141.9 GB	22	122
...a 3 70B Instruct Gradient 524K	512K / 141.9 GB	24	23
...a 3 70B Instruct Gradient 262K	256K / 141.9 GB	20	56
...ama 3 70B Arimas Story RP V2.0	256K / 141.1 GB	10	3
...ama 3 70B Arimas Story RP V1.6	256K / 141.2 GB	5	0
...ama 3 70B Arimas Story RP V1.5	256K / 141.2 GB	21	3
Llama 3.1 70B Instruct	128K / 141.9 GB	813492	938
Meta Llama 3.1 70B Instruct	128K / 141.9 GB	521937	513

Note: green Score (e.g. "73.2") means that the model is better than ScaleGenAI/llama3-function-calling-1048k.