Felladrin
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Minueza-32M-Base

Text Generation

text-generation-inference

Inference Endpoints

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Felladrin commited on Mar 10

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@@ -150,9 +150,11 @@ Minueza-32M-Base is a foundation model with 32 million parameters trained from s
 It's available in the following formats: [Safetensors](https://huggingface.co/Felladrin/Minueza-32M-Base), [GGUF](https://huggingface.co/Felladrin/gguf-Minueza-32M-Base), and [ONNX](https://huggingface.co/Felladrin/onnx-Minueza-32M-Base).
-And it's being released alongside these fine-tuned versions:
-  - [Minueza-32M-UltraChat](https://huggingface.co/Felladrin/Minueza-32M-UltraChat): Trained in a single conversational dataset.
-  - [Minueza-32M-Chat](https://huggingface.co/Felladrin/Minueza-32M-Chat): Trained in a mix of conversational datasets.
 ## Intended Uses

 It's available in the following formats: [Safetensors](https://huggingface.co/Felladrin/Minueza-32M-Base), [GGUF](https://huggingface.co/Felladrin/gguf-Minueza-32M-Base), and [ONNX](https://huggingface.co/Felladrin/onnx-Minueza-32M-Base).
+And it's being released alongside some fine-tuned versions:
+  - [Minueza-32M-UltraChat](https://huggingface.co/Felladrin/Minueza-32M-UltraChat): Trained on a single conversational dataset.
+  - [Minueza-32M-Chat](https://huggingface.co/Felladrin/Minueza-32M-Chat): Trained on a mix of conversational datasets.
+  - [Minueza-32Mx2-Chat](https://huggingface.co/Felladrin/Minueza-32Mx2-Chat): Sparse Mixture of Experts trained on interleaved conversational datasets.
+  - [And more...](https://huggingface.co/models?other=base_model:Felladrin/Minueza-32M-Base)
 ## Intended Uses