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Nous Hermes Llama2 70B GGML by TheBloke

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Base model:finetune:nousresear... Base model:nousresearch/nous-h...   Distillation   En   Ggml   Llama   Llama2   Quantized   Region:us   Self-instruct   Synthetic instruction

Nous Hermes Llama2 70B GGML Benchmarks

LLME Score: 0.13902
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Nous Hermes Llama2 70B GGML Parameters and Internals

Model Type
llama
Additional NotesThis model offers long responses, lower hallucination rate, and is not subject to OpenAI censorship of training data. Uses GGML and GGUF formats, with Llama 70B GPU acceleration options.
Training Details
Data Sources:
GPTeacher, Wizard LM, Nous Research Instruct Dataset, GPT4-LLM, Unnatural Instructions, Airoboros dataset, Camel-AI's domain expert datasets, CodeAlpaca dataset
Methodology:Fine-tuning with synthetic GPT-4 outputs and Alpaca prompt format.
Context Length:4096
Hardware Used:
8x H100 80GB machine
LLM NameNous Hermes Llama2 70B GGML
Repository 🤗https://huggingface.co/TheBloke/Nous-Hermes-Llama2-70B-GGML 
Model NameNous Hermes Llama2 70B
Model CreatorNousResearch
Base Model(s)  Nous Hermes Llama2 70B   NousResearch/Nous-Hermes-Llama2-70b
Model Size70b
Required VRAM29 GB
Updated2024-11-12
MaintainerTheBloke
Model Typellama
Model Files  29.0 GB   36.5 GB   33.4 GB   30.1 GB   38.8 GB   43.1 GB   41.7 GB   39.2 GB   47.4 GB   49.0 GB   47.7 GB
Supported Languagesen
GGML QuantizationYes
Quantization Typeggml
Model ArchitectureAutoModel
Licensellama2
Nous Hermes Llama2 70B GGML (TheBloke/Nous-Hermes-Llama2-70B-GGML)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Nous-Hermes-Llama2-70B-GGML.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110
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