What are the hardware requirements for LLama3 70B SWE LLM?

LLama3 70B SWE LLM requires approximately 16.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed LLama3 70B SWE LLM and how large is it?

LLama3 70B SWE LLM is developed by viss-ai, 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 70B SWE LLM?

LLama3 70B SWE LLM is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

LLama3 70B SWE LLM by viss-ai — VRAM 16.1GB

Name: LLama3 70B SWE LLM
Author: viss-ai

LLama3 70B SWE LLM is an open-source language model by viss-ai. Features: 70b LLM, VRAM: 16.1GB, LLM Explorer Score: 0.13.

Arxiv:1910.09700 Conversational Endpoints compatible Llama Lora Pytorch Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/viss-ai/LLama3-70B-SWE-LLM

LLama3 70B SWE LLM Parameters and Internals

Model Type

Language Model

Use Cases

Primary Use Cases:

Generating Swedish text, Conversational applications, Sentiment analysis, Customer service enhancement, Translation

Limitations:

Not suitable for generating harmful or biased content

Additional Notes

Early version; future developments will address safety and bias.

Supported Languages

Swedish (NLP)

Training Details

Data Volume:

13.3 million tokens

Hardware Used:

A100 GPUs

LLM Name	LLama3 70B SWE LLM
Repository 🤗	https://huggingface.co/viss-ai/LLama3-70B-SWE-LLM
Model Size	70b
Required VRAM	16.1 GB
Updated	2026-07-17
Maintainer	viss-ai
Model Files	0.2 GB 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 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	AutoModelForCausalLM
Model Max Length	8192
Is Biased	none
Tokenizer Class	PreTrainedTokenizerFast
Padding Token	<\|eot_id\|>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	gate_proj\|down_proj\|o_proj\|v_proj\|k_proj\|up_proj\|q_proj
LoRA Alpha	16
LoRA Dropout	0
R Param	16

Rank the LLama3 70B SWE LLM capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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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Note: green Score (e.g. "73.2") means that the model is better than viss-ai/LLama3-70B-SWE-LLM.