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V Alpha Tross by gradientai

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V Alpha Tross is an open-source language model by gradientai. Features: 69b LLM, VRAM: 138.7GB, Context: 4K, License: llama2, LLM Explorer Score: 0.12, Arc: 71.8, HellaSwag: 86.8, MMLU: 70.4, GSM8K: 61.5.

  Arxiv:2305.14201   En   Endpoints compatible   Finance   Generated from trainer   Llama   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/gradientai/v-alpha-tross 

V Alpha Tross Benchmarks

ARC: 71.84 vs 96.7 (so35)-25.7%
HellaSwag: 86.84 vs 95.3 (gpt4)-8.9%
MMLU: 70.44 vs 88.3 (so35)-20.2%
GSM8K: 61.49 vs 96.4 (so35)-36.2%
LLME Score: 0.12072
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
V Alpha Tross (gradientai/v-alpha-tross)
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V Alpha Tross Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
finance
Primary Use Cases:
mathematical reasoning, tabular understanding, open-book retrieval (RAG) & summarization, conversational interface
Additional Notes 
Model not specifically aligned for safety and may produce problematic outputs. Designed to overcome general-purpose models' deficiencies in finance domain by extended pre-training with finance data.
Supported Languages 
en (English)
Training Details 
Data Sources:
Red Pajamas, https://github.com
Methodology:
Crawling public text repositories, programmatic filtering, human review. Fine-tuned with Supervised Fine-Tuning (SFT) and Direct Preference Optimization (DPO).
Model Architecture:
Based on meta-llama/Llama-2-70b-hf with finance-specific pre-training and instruction tuning.
Input Output 
Input Format:
Follow formatting requirements of Llama-2 chat, including `INST` and `<>` tags, and `~~` tokens.
LLM NameV Alpha Tross
Repository 🤗https://huggingface.co/gradientai/v-alpha-tross 
Model Size69b
Required VRAM138.7 GB
Updated2026-05-07
Maintainergradientai
Model Typellama
Model Files  4.7 GB: 1-of-29   4.7 GB: 2-of-29   5.0 GB: 3-of-29   5.0 GB: 4-of-29   4.7 GB: 5-of-29   4.7 GB: 6-of-29   4.7 GB: 7-of-29   5.0 GB: 8-of-29   5.0 GB: 9-of-29   4.7 GB: 10-of-29   4.7 GB: 11-of-29   4.7 GB: 12-of-29   5.0 GB: 13-of-29   5.0 GB: 14-of-29   4.7 GB: 15-of-29   4.7 GB: 16-of-29   4.7 GB: 17-of-29   5.0 GB: 18-of-29   5.0 GB: 19-of-29   4.7 GB: 20-of-29   4.7 GB: 21-of-29   4.7 GB: 22-of-29   5.0 GB: 23-of-29   5.0 GB: 24-of-29   4.7 GB: 25-of-29   4.7 GB: 26-of-29   4.7 GB: 27-of-29   5.0 GB: 28-of-29   3.8 GB: 29-of-29
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.35.1
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size32001
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than gradientai/v-alpha-tross.

Rank the V Alpha Tross 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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