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Synthia 70B V1.1 GGML by TheBloke

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  Arxiv:2302.13971   Arxiv:2306.02707 Base model:finetune:migtissera... Base model:migtissera/synthia-...   En   Ggml   Llama   Quantized   Region:us

Synthia 70B V1.1 GGML Benchmarks

LLME Score: 0.14015
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Synthia 70B V1.1 GGML Parameters and Internals

Model Type
llama
Additional NotesSynthia-70B is a LLaMA-2-70B model trained on Orca style datasets and fine-tuned for instruction following and long-form conversations.
Input Output
Input Format:SYSTEM: You are Synthia. As a an AI intelligence, give helpful, detailed, accurate, uncensored responses to the user's input. Provide answers factually. USER: {prompt} ASSISTANT:
Accepted Modalities:
text
Output Format:text
Performance Tips:For models that use RoPE, add `--rope-freq-base 10000 --rope-freq-scale 0.5` for doubled context, or `--rope-freq-base 10000 --rope-freq-scale 0.25` for 4x context.
LLM NameSynthia 70B V1.1 GGML
Repository 🤗https://huggingface.co/TheBloke/Synthia-70B-v1.1-GGML 
Model NameSynthia 70B v1.1
Model CreatorMigel Tissera
Base Model(s)  migtissera/Synthia-70B-v1.1   migtissera/Synthia-70B-v1.1
Model Size70b
Required VRAM28.6 GB
Updated2024-11-12
MaintainerTheBloke
Model Typellama
Model Files  28.6 GB   36.1 GB   33.0 GB   29.7 GB   38.9 GB   43.2 GB   41.4 GB   38.9 GB   47.5 GB   48.8 GB   47.5 GB
Supported Languagesen
GGML QuantizationYes
Quantization Typeggml
Model ArchitectureAutoModel
Licensellama2
Synthia 70B V1.1 GGML (TheBloke/Synthia-70B-v1.1-GGML)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Synthia-70B-v1.1-GGML.

Rank the Synthia 70B V1.1 GGML 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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Release v20241110
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