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Saily 220B GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:deepnight-research/... Base model:quantized:deepnight...   Dataset:eleutherai/pile   Dataset:meta-math/metamathqa Dataset:tiiuae/falcon-refinedw...   En   Gptq   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/Saily_220B-GPTQ 

Saily 220B GPTQ Benchmarks

LLME Score: 0.12556
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Saily 220B GPTQ (TheBloke/Saily_220B-GPTQ)
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Saily 220B GPTQ Parameters and Internals

Model Type 
llama
Additional Notes 
Limitations include the possibility of incorrect or biased content generation.
Supported Languages 
English (primary)
Training Details 
Data Sources:
tiiuae/falcon-refinedweb, EleutherAI/pile, meta-math/MetaMathQA, Unnatural Code
Methodology:
Built on top of Llama2-70B merges, 10 fine-tuned models; multiple merges created keeping Logical-Understanding and Reasoning models constant.
Hardware Used:
4 x A100 80GB GPUs, 2 x A100 80GB GPUs
Model Architecture:
Llama2-70B fine-tuned models with multiple merges.
Input Output 
Input Format:
Use the Alpaca Prompt Format with Instruction and Response tags.
Output Format:
Textual response output following given instruction.
Performance Tips:
Load in 4bit or 8bit for optimization; please use INSTRUCT or CHAT-INSTRUCT mode in Text-Generation-WebUI.
Release Notes 
Version:
v1
Date:
17th December, 2023
Notes:
Released as a powerful model built on Llama2-70B merges; 10 models fine-tuned on specific domains; uses public datasets and internal transcriptions.
LLM NameSaily 220B GPTQ
Repository 🤗https://huggingface.co/TheBloke/Saily_220B-GPTQ 
Model NameSaily 220B
Model CreatorDEEPNIGHT
Base Model(s)  Saily 220B   deepnight-research/Saily_220B
Model Size220b
Required VRAM105.2 GB
Updated2025-10-06
MaintainerTheBloke
Model Typellama
Model Files  49.0 GB: 1-of-3   48.9 GB: 2-of-3   7.3 GB: 3-of-3
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Saily_220B-GPTQ.

Rank the Saily 220B GPTQ 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  
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