Duplicate from mpasila/Llama-3-LimaRP-Instruct-LoRA-8B

Co-authored-by: minipasila <[email protected]>

.gitattributes

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README.md

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+---
+language:
+- en
+license: llama3
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- llama
+- trl
+- not-for-all-audiences
+base_model: unsloth/llama-3-8b-bnb-4bit
+datasets:
+- grimulkan/LimaRP-augmented
+- mpasila/LimaRP-augmented-8k-context
+library_name: peft
+---
+This was made using the Llama 3 Instruct prompt formatting so that it should be easier to be merged with other models using that format.
+
+LoRA trained in 4-bit with 8k context using [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B/) as the base model for 1 epoch.
+
+Dataset used is [a modified](https://huggingface.co/datasets/mpasila/LimaRP-augmented-8k-context) version of [grimulkan/LimaRP-augmented](https://huggingface.co/datasets/grimulkan/LimaRP-augmented).
+
+### Prompt format: Llama 3 Instruct
+
+There might be a slight issue with the prompt formatting since Unsloth decided to leave "gpt" and "user" to the prompts which seem to not be handled correctly all the time.
+
+# Uploaded  model
+
+- **Developed by:** mpasila
+- **License:** Llama 3 Community License
+- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
+
+This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "unsloth/llama-3-8b-bnb-4bit",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 512,
+  "lora_dropout": 0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 256,
+  "rank_pattern": {},
+  "revision": "unsloth",
+  "target_modules": [
+    "up_proj",
+    "k_proj",
+    "down_proj",
+    "v_proj",
+    "gate_proj",
+    "o_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

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