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LLama3 70B SWE LLM by viss-ai

 »  All LLMs  »  viss-ai  »  LLama3 70B SWE LLM   URL Share it on

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  Arxiv:1910.09700   Autotrain compatible   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 Benchmarks

LLME Score: 0.15709
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LLama3 70B SWE LLM (viss-ai/LLama3-70B-SWE-LLM)
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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 NameLLama3 70B SWE LLM
Repository 🤗https://huggingface.co/viss-ai/LLama3-70B-SWE-LLM 
Model Size70b
Required VRAM16.1 GB
Updated2025-10-09
Maintainerviss-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 ArchitectureAutoModelForCausalLM
Model Max Length8192
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesgate_proj|down_proj|o_proj|v_proj|k_proj|up_proj|q_proj
LoRA Alpha16
LoRA Dropout0
R Param16

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

Rank the LLama3 70B SWE LLM 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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Release v20241124
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