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Tulpar 7B V0 GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:hyperbeeai/tulpar-7... Base model:quantized:hyperbeea...   En   Gptq   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Tulpar-7B-v0-GPTQ 

Tulpar 7B V0 GPTQ Benchmarks

LLME Score: 0.10741
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tulpar 7B V0 GPTQ (TheBloke/Tulpar-7B-v0-GPTQ)
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Tulpar 7B V0 GPTQ Parameters and Internals

Model Type 
causal language model, instruction-tuned
Use Cases 
Areas:
research, instruction finetuning
Applications:
GPT-4 related tasks
Primary Use Cases:
QA generation, instruction completion
Limitations:
only finetuned in English
Considerations:
make safety tests before deployment
Additional Notes 
Created using GPT4All methodology
Supported Languages 
en (finetuned only in English)
Training Details 
Data Sources:
FGPT-4 generated, Airoboros, Platypus
Methodology:
finetuning
Model Architecture:
LLama2-7b-based
Input Output 
Input Format:
### User: {prompt} ### Assistant:
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Various quantisation settings available for optimal use
LLM NameTulpar 7B V0 GPTQ
Repository 🤗https://huggingface.co/TheBloke/Tulpar-7B-v0-GPTQ 
Model NameTulpar 7B v0
Model CreatorHyperbeeAI
Base Model(s)  Tulpar 7B V0   HyperbeeAI/Tulpar-7b-v0
Model Size7b
Required VRAM3.9 GB
Updated2025-09-23
MaintainerTheBloke
Model Typellama
Model Files  3.9 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Tulpar-7B-v0-GPTQ.

Rank the Tulpar 7B V0 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  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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