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Tulpar 7B V0 by HyperbeeAI

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  Autotrain compatible   En   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/HyperbeeAI/Tulpar-7b-v0 

Tulpar 7B V0 Benchmarks

ARC: 56.31 vs 96.7 (so35)-41.8%
HellaSwag: 79.01 vs 95.3 (gpt4)-17.1%
MMLU: 52.55 vs 88.3 (so35)-40.5%
TruthfulQA: 51.68 vs 59 (gpt4)-12.4%
WinoGrande: 73.88 vs 87.5 (gpt4)-15.6%
GSM8K: 2.73 vs 96.4 (so35)-97.2%
LLME Score: 0.1482
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 (HyperbeeAI/Tulpar-7b-v0)
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Tulpar 7B V0 Parameters and Internals

Model Type 
text_generation
Use Cases 
Areas:
research, commercial applications
Limitations:
Language-related scenarios not covered besides English.
Additional Notes 
Model image can be found at provided thumbnail URL.
Supported Languages 
en (primary)
Training Details 
Data Sources:
GPT-4 generated datasets, curated datasets like Airoboros and Platypus
Methodology:
filtered and preprocessed instruction finetuning
Model Architecture:
LLama2-7b
Responsible Ai Considerations 
Fairness:
The model is finetuned only in English and all language-related scenarios are not covered.
Transparency:
No transparency guarantees for ethical, accurate, unbiased, objective responses.
Mitigation Strategies:
Safety tests are advised before deployment for specific use cases.
Input Output 
Input Format:
Structured prompts with User and Assistant designations or Question and Answer format.
Accepted Modalities:
text
Output Format:
Text responses fitting the query context.
LLM NameTulpar 7B V0
Repository 🤗https://huggingface.co/HyperbeeAI/Tulpar-7b-v0 
Model Size7b
Required VRAM27 GB
Updated2025-09-23
MaintainerHyperbeeAI
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   7.2 GB: 3-of-3
Supported Languagesen
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

Quantized Models of the Tulpar 7B V0

Model
Likes
Downloads
VRAM
Tulpar 7B V0 AWQ183 GB
Tulpar 7B V0 GGUF3672 GB
Tulpar 7B V0 GPTQ283 GB

Best Alternatives to Tulpar 7B V0

Best Alternatives
Context / RAM
Downloads
Likes
A6 L1024K / 16.1 GB2010
A3.41024K / 16.1 GB130
A5.41024K / 16.1 GB120
A2.41024K / 16.1 GB120
M1024K / 16.1 GB1270
1571024K / 16.1 GB1010
1241024K / 16.1 GB930
1621024K / 16.1 GB600
2 Very Sci Fi1024K / 16.1 GB3170
1181024K / 16.1 GB150
Note: green Score (e.g. "73.2") means that the model is better than HyperbeeAI/Tulpar-7b-v0.

Rank the Tulpar 7B V0 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20241124
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