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Masked Mamba by samvelkoch

 »  All LLMs  »  samvelkoch  »  Masked Mamba   URL Share it on

  11   
  Autotrain compatible   En   Gpt   H2o-llmstudio   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/samvelkoch/masked-mamba 

Masked Mamba Benchmarks

LLME Score: 0.19541
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Masked Mamba (samvelkoch/masked-mamba)

Masked Mamba Parameters and Internals

Model Type 
Causal Language Model
Use Cases 
Considerations:
The model is intended for research purposes and ethical consideration is advised while using.
Additional Notes 
Sharding on multiple GPUs and quantization is supported by specifying load_in_8bit or load_in_4bit as true.
Training Details 
Context Length:
4096
Model Architecture:
LlamaForCausalLM
Safety Evaluation 
Ethical Considerations:
Encourages responsible and ethical use, prohibits use for hate speech, discrimination, harassment, or illegal activities.
Responsible Ai Considerations 
Fairness:
Users are advised the model may exhibit biases.
Mitigation Strategies:
Encourages users to report any biased or inappropriate content.
Input Output 
Input Format:
Prompt format used during training
Accepted Modalities:
Text
Performance Tips:
Ensure prompting format aligns with training logs for desired performance.
LLM NameMasked Mamba
Repository 🤗https://huggingface.co/samvelkoch/masked-mamba 
Model Size7b
Required VRAM27.1 GB
Updated2025-02-22
Maintainersamvelkoch
Model Typellama
Model Files  4.8 GB: 1-of-6   4.9 GB: 2-of-6   4.9 GB: 3-of-6   4.9 GB: 4-of-6   4.9 GB: 5-of-6   2.7 GB: 6-of-6
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding 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 samvelkoch/masked-mamba.

Rank the Masked Mamba 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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