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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: 0.13993
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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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
Updated2025-06-10
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
Saily 220B (deepnight-research/Saily_220B)

Quantized Models of the Saily 220B

Model
Likes
Downloads
VRAM
Saily 220B GGUF960 GB
Saily 220B GPTQ124105 GB
Saily 220B AWQ014109 GB

Best Alternatives to Saily 220B

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...l Llama 220M GQA 32K Theta Sft32K / 0.4 GB182
Smol Llama 220M GQA 32K Theta32K / 0.4 GB161
Smol Llama 220M GQA2K / 0.4 GB91812
Smol Llama 220M Openhermes2K / 0.4 GB2415
...mol Llama 220M GQA Fineweb Edu2K / 0.4 GB211
Smol Llama 220M Open Instruct2K / 0.4 GB232
Smol Llama 220M Bees Internal2K / 0.4 GB261
Beecoder 220M Python2K / 0.4 GB232
Saily 220B GPTQ4K / 105.2 GB241
Saily 220B AWQ4K / 109.1 GB140
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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