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MFANN3bv0.18 by netcat420

 »  All LLMs  »  netcat420  »  MFANN3bv0.18   URL Share it on

  18   
  Arxiv:1910.09700   Autotrain compatible   Dataset:netcat420/mfann   En   Endpoints compatible   Phi   Region:us   Safetensors   Sharded   Tensorflow

MFANN3bv0.18 Benchmarks

MMLU Pro: 16.67
GPQA: 1.01
MUSR: 10.6
BBH: 23.07
IFEval: 22.06 vs 88 (so35)-74.9%
MATH Lvl 5: 2.04
LLME Score: 0.26084
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

MFANN3bv0.18 Parameters and Internals

Supported Languages 
languages_supported (/- en pipeline_tag: text-generation \/- Model Card for Model ID), language_proficiency (/## Model Details ### Model Description This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses ### Direct Use [More Information Needed] ### Downstream Use [optional] [More Information Needed] ### Out-of-Scope Use [More Information Needed] ## Bias, Risks, and Limitations [More Information Needed] ### Recommendations Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data [More Information Needed] ### Training Procedure #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] #### Speeds, Sizes, Times [optional] [More Information Needed] ## Evaluation ### Testing Data, Factors & Metrics #### Testing Data [More Information Needed] #### Factors [More Information Needed] #### Metrics [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] [More Information Needed] ## Environmental Impact Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed] \/)
LLM NameMFANN3bv0.18
Repository 🤗https://huggingface.co/netcat420/MFANN3bv0.18 
Model Size2.8b
Required VRAM11.1 GB
Updated2024-11-21
Maintainernetcat420
Model Typephi
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   1.1 GB: 3-of-3
Supported Languagesen
Model ArchitecturePhiForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.41.1
Tokenizer ClassCodeGenTokenizer
Vocabulary Size51200
Torch Data Typefloat32
MFANN3bv0.18 (netcat420/MFANN3bv0.18)

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Note: green Score (e.g. "73.2") means that the model is better than netcat420/MFANN3bv0.18.

Rank the MFANN3bv0.18 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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Release v20241110
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