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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

Tess 70B V1.6 Marlin Benchmarks

LLME Score: 0.2043
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 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
Updated2024-09-16
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
Tess 70B V1.6 Marlin (qeternity/Tess-70B-v1.6-Marlin)

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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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Release v2024072803
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