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MARS V0.2 by curiositytech

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Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Conversational   En   Instruct   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow   Tr
Model Card on HF 🤗: https://huggingface.co/curiositytech/MARS-v0.2 

MARS V0.2 Benchmarks

LLME Score: 0.25869
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
MARS V0.2 (curiositytech/MARS-v0.2)

MARS V0.2 Parameters and Internals

LLM NameMARS V0.2
Repository 🤗https://huggingface.co/curiositytech/MARS-v0.2 
Base Model(s)  meta-llama/Meta-Llama-3.1-8B-Instruct   meta-llama/Meta-Llama-3.1-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2025-01-23
Maintainercuriositytech
Model Typellama
Instruction-BasedYes
Model Files  2.0 GB: 1-of-9   1.9 GB: 2-of-9   2.0 GB: 3-of-9   1.9 GB: 4-of-9   2.0 GB: 5-of-9   1.9 GB: 6-of-9   2.0 GB: 7-of-9   1.3 GB: 8-of-9   1.1 GB: 9-of-9
Supported Languagestr en
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length131072
Model Max Length131072
Transformers Version4.44.0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128257
Torch Data Typefloat16

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...a 3 8B Instruct Gradient 1048K1024K / 16.1 GB6585680
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MrRoboto ProLong 8B V4b1024K / 16.1 GB1070
MrRoboto ProLong 8B V1a1024K / 16.1 GB1080
MrRoboto ProLong 8B V2a1024K / 16.1 GB1020
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...o ProLongBASE Pt6 Unaligned 8B1024K / 16.1 GB710
Note: green Score (e.g. "73.2") means that the model is better than curiositytech/MARS-v0.2.

Rank the MARS V0.2 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241227
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