Update README.md

README.md

@@ -1,22 +1,114 @@
 ---
-base_model: unsloth/meta-llama-3.1-8b-instruct
-tags:
-- text-generation-inference
-- transformers
-- unsloth
-- llama
-- trl
 license: apache-2.0
 language:
 - en
+base_model:
+- meta-llama/Llama-3.1-8B-instruct
+pipeline_tag: text-generation
+tags:
+- lora
+- adapter
+- writing
+- CoT
 ---
+# Merged-Llama-Adapters-317-320
+
+A merged LoRA adapter combining four fine-tuned adapters (317-320) for the Llama-3.1-8B language model.
+
+## Model Details
+
+- Base Model: meta-llama/Llama-3.1-8B-instruct
+- Adaptation Method: Merged LoRA
+
+## Merger Configuration
+
+### Source Adapters
+
+All source adapters share the following configuration:
+- Rank (r): 16
+- Alpha: 16
+- Target Modules:
+  - q_proj (Query projection)
+  - k_proj (Key projection)
+  - v_proj (Value projection)
+  - o_proj (Output projection)
+  - up_proj (Upsampling projection)
+  - down_proj (Downsampling projection)
+  - gate_proj (Gate projection)
+
+### Merger Details
+
+- Merger Method: Linear interpolation
+- Merger Weights: Equal weights (0.25) for each adapter
+- Combined Rank: 16 (maintained from source adapters)
+
+## Usage
+
+This merged adapter must be used with the base Llama-3.1-8B-instruct model.
+
+## Limitations and Biases
+
+- This merged adapter inherits limitations and biases from:
+  - The base Llama-3.1-8B-instruct model
+  - More baises from traning data as most of them were fiction work.
+- The merging process may result in:
+  - Potential loss of specialized capabilities from individual adapters
+  - Averaged behavior across different adapter specializations
+  - Possible interference between adapter weights
+
+## Merging Process
+
+The adapters were merged using the following approach:
+1. Linear interpolation of adapter weights
+2. Equal weighting (0.25) applied to each source adapter
+3. Preservation of original LoRA rank and architecture
+
+### Method Used
+
+The adapters were merged using PEFT (Parameter-Efficient Fine-Tuning) library's weighted adapter combination feature. The process combines multiple LoRA adapters using linear interpolation with specified weights.
+
+
+### Key Parameters
+
+- `combination_type="ties"`: Uses the TIES (Task Interference Edge Selection) method for combining adapters
+- `density=0.2`: Controls the sparsity of the merged weights
+
+
+### Notes
+
+- The order of loading adapters may affect the final result
+- Equal weights were chosen to maintain balanced influence from each adapter
+- The merged adapter maintains the same architecture and rank as the original adapters
+- While this adapter merges multiple fine-tunes, each component was developed as part of independent research efforts to explore and language model capabilities as part of R&D process.
+
+
+## Datasets
+
+- Not yet released, but should be released after evaluation has completed.
+- Only 1k pairs example of revision task <input_text> + <style_guide> => <thinking> <-> </revised_text>
+
+### Use Cases
+
+- This merged adapter can be used for a wide range of tasks, including but not limited to:
+  - Accessibility
+  - Revision & Editing
+  - instruction-following use with xml tags
+  - Thinking & reasoning with xml tag of <thinking> and </thinking>, if being asked i the instructions.
+  
+
+These Models not optimized for code, math, or other specialized tasks that need Perefence Optimization.
+
+## Why SFT Instead of RLHF/DPO?
+- RLHF and DPO approaches often lead to vocabulary limitations and overfitting due to their optimization objectives
 
-# Uploaded  model
+## License
 
-- **Developed by:** kevin009
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/meta-llama-3.1-8b-instruct
+Licensed under Apache 2.0 License.
 
-This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+This merged adapter is part of independent individual research work. While the code is open-source under the Apache 2.0 license, please note:
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+- You are free to use, modify, and distribute this adapter following the Apache 2.0 license terms
+- This work is provided "as is" without warranties or conditions of any kind
+- This is an independent research project and not affiliated with any organization
+- Attribution is appreciated but not required
+- For full license details, see: https://www.apache.org/licenses/LICENSE-2.0