Text Generation
Transformers
Safetensors
jamba
conversational
custom_code
Inference Endpoints
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@@ -11,7 +11,14 @@ The aim of this experiment was to find how intelligently and reliably Jamba can
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  Initial subjective testing has shown that this model can chat reasonably well in both English and Japanese, so feel free to give it a try!
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- ### How to use
 
 
 
 
 
 
 
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  ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  # Developers
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- Lead developer - Peter Devine
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- Administrative supervisor - Shunichi Taniguchi
 
 
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  Initial subjective testing has shown that this model can chat reasonably well in both English and Japanese, so feel free to give it a try!
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+ ## Model Details
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+ - **Model type:** Joint Attention and Mamba (Jamba)
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+ - **License:** Apache 2.0
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+ - **Context length:** 256K
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+ - **Knowledge cutoff date:** March 5, 2024
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+ ## How to use
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  ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer
 
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  # Developers
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+ Lead developer - Peter Devine [ptrdvn](https://huggingface.co/ptrdvn)
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+ Administrative supervisor - Shunichi Taniguchi [ptrdvn](https://huggingface.co/ptrdvn)