gsarti
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phi3-mini-rebus-solver-fp16

Text Generation

text-generation-inference

Inference Endpoints

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gsarti commited on Aug 1

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@@ -44,7 +44,7 @@ This model is a parameter-efficient fine-tuned version of Phi-3 Mini 4K trained
 The model was trained in 4-bit precision for 5070 steps on the verbalized subset of the [EurekaRebus](https://huggingface.co/datasets/gsarti/eureka-rebus) using QLora via [Unsloth](https://github.com/unslothai/unsloth) and [TRL](https://github.com/huggingface/trl). This version has merged adapter weights in half precision, enabling out-of-the-box for usage with the `transformers` library.
-We also provide [adapter checkpoints through training](gsarti/phi3-mini-rebus-solver-adapters) and [8-bit GGUF](gsarti/phi3-mini-rebus-solver-Q8_0-GGUF) versions of this model for analysis and local execution.
 ## Using the Model

 The model was trained in 4-bit precision for 5070 steps on the verbalized subset of the [EurekaRebus](https://huggingface.co/datasets/gsarti/eureka-rebus) using QLora via [Unsloth](https://github.com/unslothai/unsloth) and [TRL](https://github.com/huggingface/trl). This version has merged adapter weights in half precision, enabling out-of-the-box for usage with the `transformers` library.
+We also provide [adapter checkpoints through training](https://huggingface.co/gsarti/phi3-mini-rebus-solver-adapters) and [8-bit GGUF](https://huggingface.co/gsarti/gsarti/phi3-mini-rebus-solver-Q8_0-GGUF) versions of this model for analysis and local execution.
 ## Using the Model