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Nous Hermes Llama2 70B AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:nousresearch/nous-h... Base model:quantized:nousresea...   Distillation   En   Llama   Llama2   Quantized   Region:us   Safetensors   Self-instruct   Sharded   Synthetic instruction   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/Nous-Hermes-Llama2-70B-AWQ 

Nous Hermes Llama2 70B AWQ Benchmarks

LLME Score: 0.12342
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 AWQ (TheBloke/Nous-Hermes-Llama2-70B-AWQ)

Nous Hermes Llama2 70B AWQ Parameters and Internals

Model Type 
llama
Additional Notes 
Model provides long responses and lower hallucination rates.
Training Details 
Data Sources:
GPTeacher, the general, roleplay v1&2, code instruct datasets, Nous Instruct, PDACTL (unpublished)
Methodology:
fine-tuning
Context Length:
4096
Hardware Used:
8x H100 80GB machine
Input Output 
Input Format:
### Instruction: {prompt} ### Response:
LLM NameNous Hermes Llama2 70B AWQ
Repository 🤗https://huggingface.co/TheBloke/Nous-Hermes-Llama2-70B-AWQ 
Model NameNous Hermes Llama2 70B
Model CreatorNousResearch
Base Model(s)  Nous Hermes Llama2 70B   NousResearch/Nous-Hermes-Llama2-70b
Model Size70b
Required VRAM36.6 GB
Updated2025-04-24
MaintainerTheBloke
Model Typellama
Model Files  9.9 GB: 1-of-4   9.9 GB: 2-of-4   9.9 GB: 3-of-4   6.9 GB: 4-of-4
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.32.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32001
Torch Data Typefloat16

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

Rank the Nous Hermes Llama2 70B AWQ Capabilities

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Instruction Following and Task Automation  
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Release v20241227
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