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Saily 220B by deepnight-research

 »  All LLMs  »  deepnight-research  »  Saily 220B   URL Share it on

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  Autotrain compatible   Dataset:eleutherai/pile   Dataset:meta-math/metamathqa Dataset:tiiuae/falcon-refinedw...   En   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/deepnight-research/Saily_220B 

Saily 220B Benchmarks

LLME Score: 0.17539
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Saily 220B (deepnight-research/Saily_220B)

Saily 220B Parameters and Internals

Model Type 
AI model, text generation
Use Cases 
Limitations:
Saily_220B may generate incorrect or biased content.
Additional Notes 
Please don't refer to the config.json in the files, it isn't accurate.
Training Details 
Data Sources:
tiiuae/falcon-refinedweb, EleutherAI/pile, meta-math/MetaMathQA
Methodology:
The models were fine-tuned on a part of Refined-Web Dataset and individually the models were finetuned on niche specific datasets: Code, Humor, Maths, Logical Understanding, Physics, Reasoning, Psychology, Roleplay. The private dataset was created by transcribing internal brainstorming sessions and sessions with experts like mathematicians, developers, bio-engineers, authors, psychologists, etc.
Model Architecture:
Llama2 70B merges and fine-tuned models
Input Output 
Input Format:
Alpaca Prompt Format
Accepted Modalities:
text
Performance Tips:
Load the model in 4bit to fit on 2 x A100 (80GB).
Release Notes 
Version:
v1
Date:
17th December, 2023
Notes:
Saily_220B is a powerful AI model built on top of Llama2-70B merges. Includes fine-tuned and linearly merged models.
LLM NameSaily 220B
Repository 🤗https://huggingface.co/deepnight-research/Saily_220B 
Model Size220b
Required VRAM417 GB
Updated2025-02-05
Maintainerdeepnight-research
Model Typellama
Model Files  9.9 GB: 1-of-43   9.9 GB: 2-of-43   10.0 GB: 3-of-43   9.7 GB: 4-of-43   10.0 GB: 5-of-43   9.9 GB: 6-of-43   9.8 GB: 7-of-43   9.8 GB: 8-of-43   9.8 GB: 9-of-43   9.8 GB: 10-of-43   9.7 GB: 11-of-43   9.6 GB: 12-of-43   9.6 GB: 13-of-43   9.8 GB: 14-of-43   9.8 GB: 15-of-43   9.7 GB: 16-of-43   10.0 GB: 17-of-43   9.8 GB: 18-of-43   9.9 GB: 19-of-43   9.9 GB: 20-of-43   9.8 GB: 21-of-43   9.7 GB: 22-of-43   9.8 GB: 23-of-43   9.9 GB: 24-of-43   9.8 GB: 25-of-43   10.0 GB: 26-of-43   9.8 GB: 27-of-43   9.9 GB: 28-of-43   9.7 GB: 29-of-43   9.9 GB: 30-of-43   9.8 GB: 31-of-43   10.0 GB: 32-of-43   10.0 GB: 33-of-43   10.0 GB: 34-of-43   10.0 GB: 35-of-43   9.8 GB: 36-of-43   9.8 GB: 37-of-43   9.9 GB: 38-of-43   9.7 GB: 39-of-43   9.8 GB: 40-of-43   9.8 GB: 41-of-43   10.0 GB: 42-of-43   3.7 GB: 43-of-43
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.36.1
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Saily 220B

Model
Likes
Downloads
VRAM
Saily 220B GGUF950 GB
Saily 220B GPTQ115105 GB
Saily 220B AWQ07109 GB

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...l Llama 220M GQA 32K Theta Sft32K / 0.4 GB82
Smol Llama 220M GQA 32K Theta32K / 0.4 GB81
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...mol Llama 220M GQA Fineweb Edu2K / 0.4 GB331
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Beecoder 220M Python2K / 0.4 GB112
Saily 220B GPTQ4K / 105.2 GB151
Saily 220B AWQ4K / 109.1 GB70
Note: green Score (e.g. "73.2") means that the model is better than deepnight-research/Saily_220B.

Rank the Saily 220B 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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