End of training

README.md

@@ -1,7 +1,7 @@
 ---
-base_model: unsloth/Meta-Llama-3.1-8B-Instruct
+base_model: unsloth/Mistral-Nemo-Base-2407
 library_name: transformers
-model_name: 95ea6f83-351f-4418-a2e8-763513aeaf2c
+model_name: dd513f51-5943-4341-8a0d-b3c1b1e07a38
 tags:
 - generated_from_trainer
 - axolotl
@@ -10,9 +10,9 @@ tags:
 licence: license
 ---
 
-# Model Card for 95ea6f83-351f-4418-a2e8-763513aeaf2c
+# Model Card for dd513f51-5943-4341-8a0d-b3c1b1e07a38
 
-This model is a fine-tuned version of [unsloth/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/unsloth/Meta-Llama-3.1-8B-Instruct).
+This model is a fine-tuned version of [unsloth/Mistral-Nemo-Base-2407](https://huggingface.co/unsloth/Mistral-Nemo-Base-2407).
 It has been trained using [TRL](https://github.com/huggingface/trl).
 
 ## Quick start
@@ -21,14 +21,14 @@ It has been trained using [TRL](https://github.com/huggingface/trl).
 from transformers import pipeline
 
 question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
-generator = pipeline("text-generation", model="Alphatao/95ea6f83-351f-4418-a2e8-763513aeaf2c", device="cuda")
+generator = pipeline("text-generation", model="Alphatao/dd513f51-5943-4341-8a0d-b3c1b1e07a38", device="cuda")
 output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
 print(output["generated_text"])
 ```
 
 ## Training procedure
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/alphatao-alphatao/Gradients-On-Demand/runs/pe4q1g3v) 
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/alphatao-alphatao/Gradients-On-Demand/runs/pkttvyl6) 
 
 
 This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://huggingface.co/papers/2402.03300).

adapter_config.json

@@ -1,7 +1,7 @@
 {
   "alpha_pattern": {},
   "auto_mapping": null,
-  "base_model_name_or_path": null,
+  "base_model_name_or_path": "unsloth/Mistral-Nemo-Base-2407",
   "bias": "none",
   "corda_config": null,
   "eva_config": null,