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Model: QuietImpostor/Llama-3.1-Mini-Instruct
Source: Original Platform

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README.md

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+---
+language:
+- en
+license: apache-2.0
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- llama
+- trl
+- sft
+---
+
+# Llama 3.1 Mini - LoRA Finetuned
+
+## Model Description
+This model is a LoRA-finetuned version of the Llama 3.1 Mini model, which is a pruned variant of the Llama 3.1 8B model. The original Llama 3.1 Mini was created by pruning the larger model to approximately 3 billion parameters, and this version has been further adapted using Low-Rank Adaptation (LoRA) to enhance its capabilities.
+
+## Limitations
+
+Please note that this model, like its base version, may exhibit biases present in its training data and should be used with appropriate care and consideration.
+
+## Training Data
+
+The base model (Llama 3.1 Mini) was trained on my personal Claude 3 Opus and Claude 3.5 Sonnet dataset, with some synthetic pairs added on with Gemma 2 9B it being the user, and Llama 3 70B through Groq being the assistant. I have also used Guanaco alongside everything else. 
+
+
+## License
+Llama 3.1
+
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

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+  "mlp_bias": false,
+  "model_type": "llama",
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+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
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+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float16",
+  "transformers_version": "4.43.3",
+  "unsloth_version": "2024.8",
+  "use_cache": true,
+  "vocab_size": 128256
+}

generation_config.json

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