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Nous Hermes 2 Mistral 7B DPO AWQ by heyholetsgo

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  4-bit   Autotrain compatible   Awq Base model:nousresearch/nous-h... Base model:quantized:nousresea...   Chatml   Conversational   Dataset:teknium/openhermes-2.5   Distillation   Dpo   En   Endpoints compatible   Finetuned   Gpt4   Instruct   Mistral   Quantized   Region:us   Rlhf   Safetensors   Synthetic data
Model Card on HF 🤗: https://huggingface.co/heyholetsgo/Nous-Hermes-2-Mistral-7B-DPO-AWQ 

Nous Hermes 2 Mistral 7B DPO AWQ Benchmarks

LLME Score: 0.16885
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Nous Hermes 2 Mistral 7B DPO AWQ (heyholetsgo/Nous-Hermes-2-Mistral-7B-DPO-AWQ)

Nous Hermes 2 Mistral 7B DPO AWQ Parameters and Internals

Model Type 
instruct, finetune, chatml, DPO, RLHF, gpt4, synthetic data, distillation, awq
Additional Notes 
This is the AWQ quantized version of the model, optimized for performance with settings: zero_point=True, q_group_size=128, w_bit=4, version='GEMM'.
Supported Languages 
en (proficient)
LLM NameNous Hermes 2 Mistral 7B DPO AWQ
Repository 🤗https://huggingface.co/heyholetsgo/Nous-Hermes-2-Mistral-7B-DPO-AWQ 
Base Model(s)  Nous Hermes 2 Mistral 7B DPO   NousResearch/Nous-Hermes-2-Mistral-7B-DPO
Model Size7b
Required VRAM4.2 GB
Updated2025-02-23
Maintainerheyholetsgo
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than heyholetsgo/Nous-Hermes-2-Mistral-7B-DPO-AWQ.

Rank the Nous Hermes 2 Mistral 7B DPO AWQ Capabilities

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Instruction Following and Task Automation  
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Release v20241227
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