Nous Hermes Llama2 8bit GPTQ by zohaib99k

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Nous Hermes Llama2 8bit GPTQ is an open-source language model by zohaib99k. Features: LLM, VRAM: 13.7GB, Context: 4K, License: other, Quantized, LLM Explorer Score: 0.09.

  8bit   Distillation   En   Gptq   Llama   Llama2   Quantized   Region:us   Self-instruct   Synthetic instruction

Nous Hermes Llama2 8bit GPTQ Benchmarks

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 8bit GPTQ (zohaib99k/Nous-Hermes-Llama2-8bit-GPTQ)
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Nous Hermes Llama2 8bit GPTQ Parameters and Internals

Model Type 
language model
Additional Notes 
Hermes model uses the same dataset as Hermes on Llama-1, ensuring consistency.
Training Details 
Data Sources:
GPTeacher, Wizard LM, Nous Research Instruct Dataset, GPT4-LLM, Unnatural Instructions, Airoboros, Camel-AI's domain expert datasets, CodeAlpaca
Methodology:
fine-tuned on synthetic GPT-4 outputs
Context Length:
4096
Hardware Used:
8x A100 80GB DGX machine
Input Output 
Input Format:
Alpaca prompt
Accepted Modalities:
text
Output Format:
text
LLM NameNous Hermes Llama2 8bit GPTQ
Repository ๐Ÿค—https://huggingface.co/zohaib99k/Nous-Hermes-Llama2-8bit-GPTQ 
Required VRAM13.7 GB
Updated2026-03-31
Maintainerzohaib99k
Model Typellama
Model Files  13.7 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq|8bit
Model ArchitectureLlamaForCausalLM
Licenseother
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 Size32032
Torch Data Typebfloat16

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Release v20260328a