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Notus 7B V1 GPTQ by TheBloke

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  4-bit   Autotrain compatible   Base model:argilla/notus-7b-v1 Base model:quantized:argilla/n...   Conversational Dataset:argilla/ultrafeedback-...   Dpo   En   Gptq   Mistral   Model-index   Preference   Quantized   Region:us   Rlaif   Safetensors   Ultrafeedback
Model Card on HF 🤗: https://huggingface.co/TheBloke/notus-7B-v1-GPTQ 

Notus 7B V1 GPTQ Benchmarks

LLME Score: 0.14833
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Notus 7B V1 GPTQ (TheBloke/notus-7B-v1-GPTQ)

Notus 7B V1 GPTQ Parameters and Internals

Model Type 
GPT-like, DPO fine-tuned
Additional Notes 
The model's datasets contained TruthfulQA prompts which may affect benchmarking accuracy. Future releases will address this.
Supported Languages 
en (Mainly English)
Training Details 
Data Sources:
openbmb/UltraFeedback, argilla/ultrafeedback-binarized-preferences
Methodology:
DPO fine-tuned
Hardware Used:
VM with 8 x A100 40GB
Model Architecture:
GPT-like 7B model
Input Output 
Input Format:
Prompt template: <|system|> ~~ <|user|> {prompt}~~ <|assistant|>
Accepted Modalities:
text
Output Format:
Text generation output
LLM NameNotus 7B V1 GPTQ
Repository 🤗https://huggingface.co/TheBloke/notus-7B-v1-GPTQ 
Model NameNotus 7B v1
Model CreatorArgilla
Base Model(s)  Notus 7B V1   argilla/notus-7b-v1
Model Size7b
Required VRAM4.2 GB
Updated2025-02-22
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/notus-7B-v1-GPTQ.

Rank the Notus 7B V1 GPTQ Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Release v20241227
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