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Tess 70B V1.6 Marlin by qeternity

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  4-bit   Autotrain compatible   Conversational   Endpoints compatible   Gptq   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/qeternity/Tess-70B-v1.6-Marlin 

Tess 70B V1.6 Marlin Benchmarks

LLME Score: 0.18506
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tess 70B V1.6 Marlin (qeternity/Tess-70B-v1.6-Marlin)

Tess 70B V1.6 Marlin Parameters and Internals

LLM NameTess 70B V1.6 Marlin
Repository 🤗https://huggingface.co/qeternity/Tess-70B-v1.6-Marlin 
Model Size70b
Required VRAM36.3 GB
Updated2024-12-02
Maintainerqeternity
Model Typellama
Model Files  36.3 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Context Length32764
Model Max Length32764
Transformers Version4.39.1
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32001
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than qeternity/Tess-70B-v1.6-Marlin.

Rank the Tess 70B V1.6 Marlin 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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