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ALMA 13B Pretrain by haoranxu

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  Arxiv:2309.11674   Arxiv:2401.08417   Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/llama-2-...   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/haoranxu/ALMA-13B-Pretrain 

ALMA 13B Pretrain Benchmarks

ARC: 56.91 vs 96.7 (so35)-41.1%
HellaSwag: 80.15 vs 95.3 (gpt4)-15.9%
MMLU: 50.31 vs 88.3 (so35)-43%
TruthfulQA: 37.44 vs 59 (gpt4)-36.5%
WinoGrande: 76.4 vs 87.5 (gpt4)-12.7%
GSM8K: 8.87 vs 96.4 (so35)-90.8%
LLME Score: 0.20416
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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ALMA 13B Pretrain Parameters and Internals

Model Type 
Translation
Use Cases 
Areas:
Translation, Research
Applications:
Machine Translation
Primary Use Cases:
Translating Chinese to English
Considerations:
For usage with LoRA models.
Additional Notes 
ALMA-R incorporates Contrastive Preference Optimization (CPO) for improved performance.
Supported Languages 
Monolingual Data (Multi-lingual), Parallel Data (High-quality parallel data)
Training Details 
Data Sources:
20B monolingual tokens, high-quality parallel data, triplet preference data
Data Volume:
20B tokens for 7B model and 12B tokens for 13B model
Methodology:
Two-step fine-tuning with monolingual data followed by parallel data; Further optimized with Contrastive Preference Optimization (CPO)
Context Length:
40
Model Architecture:
LLaMA based, fine-tuned with LoRA
Input Output 
Input Format:
Text input
Accepted Modalities:
text
Output Format:
Text output
Performance Tips:
Use LoRA models together with Base Models for intended performance.
Release Notes 
Version:
ALMA-13B-LoRA
Date:
unknown
Notes:
Full-weight Fine-tune LLaMA-2-7B on 12B monolingual tokens and then LoRA fine-tune on human-written parallel data
Version:
ALMA-13B-R
Date:
unknown
Notes:
Further LoRA fine-tuning upon ALMA-13B-LoRA with contrastive preference optimization
LLM NameALMA 13B Pretrain
Repository 🤗https://huggingface.co/haoranxu/ALMA-13B-Pretrain 
Base Model(s)  Llama 2 13B Hf   meta-llama/Llama-2-13b-hf
Model Size13b
Required VRAM52.1 GB
Updated2025-06-09
Maintainerhaoranxu
Model Typellama
Model Files  10.0 GB: 1-of-6   9.9 GB: 2-of-6   9.9 GB: 3-of-6   9.9 GB: 4-of-6   9.9 GB: 5-of-6   2.5 GB: 6-of-6
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.30.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat32
ALMA 13B Pretrain (haoranxu/ALMA-13B-Pretrain)

Quantized Models of the ALMA 13B Pretrain

Model
Likes
Downloads
VRAM
ALMA 13B Pretrain GGUF123965 GB
ALMA 13B Pretrain GPTQ1337 GB
ALMA 13B Pretrain AWQ1247 GB

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Rank the ALMA 13B Pretrain 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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