Upload CodeLLaMa7B-FineTuned-byMoomen fine-tuned model

README.md

@@ -0,0 +1,129 @@
+---
+license: llama2
+base_model: codellama/CodeLlama-7b-Instruct-hf
+tags:
+- fine-tuned
+- educational
+- qa
+- code
+- llama
+- peft
+- lora
+language:
+- en
+pipeline_tag: text-generation
+library_name: peft
+---
+
+# CodeLLaMa7B-FineTuned-byMoomen
+
+This model is a fine-tuned version of [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf) using LoRA (Low-Rank Adaptation) for educational Q&A tasks.
+
+## Model Details
+
+- **Base Model**: codellama/CodeLlama-7b-Instruct-hf
+- **Fine-tuning Method**: LoRA (Low-Rank Adaptation)
+- **LoRA Rank**: 32
+- **LoRA Alpha**: 64
+- **Target Modules**: ['gate_proj', 'lm_head', 'k_proj', 'q_proj', 'up_proj', 'down_proj', 'v_proj', 'o_proj']
+- **Training Focus**: Educational programming Q&A
+- **Model Type**: Causal Language Model
+
+## Usage
+
+### Quick Start
+
+```python
+from peft import AutoPeftModelForCausalLM
+from transformers import AutoTokenizer
+
+# Load model and tokenizer
+model = AutoPeftModelForCausalLM.from_pretrained("Moomen123Msaadi/CodeLLaMa7B-FineTuned-byMoomen")
+tokenizer = AutoTokenizer.from_pretrained("codellama/CodeLlama-7b-Instruct-hf")
+
+# Generate response
+prompt = "Explain recursion in programming"
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(**inputs, max_new_tokens=300, temperature=0.7)
+response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+print(response)
+```
+
+### Chat Format Usage
+
+```python
+# For educational Q&A conversations
+messages = [
+    {"role": "system", "content": "You are a helpful educational assistant."},
+    {"role": "user", "content": "What is the difference between lists and tuples in Python?"}
+]
+
+formatted_prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+inputs = tokenizer(formatted_prompt, return_tensors="pt")
+outputs = model.generate(**inputs, max_new_tokens=300)
+response = tokenizer.decode(outputs[0], skip_special_tokens=True)
+```
+
+### Memory-Efficient Loading
+
+```python
+# For systems with limited VRAM
+from transformers import BitsAndBytesConfig
+
+quantization_config = BitsAndBytesConfig(
+    load_in_4bit=True,
+    bnb_4bit_compute_dtype=torch.float16
+)
+
+model = AutoPeftModelForCausalLM.from_pretrained(
+    "Moomen123Msaadi/CodeLLaMa7B-FineTuned-byMoomen",
+    quantization_config=quantization_config,
+    device_map="auto"
+)
+```
+
+## Training Details
+
+This model was fine-tuned using:
+- **Parameter-Efficient Fine-Tuning (PEFT)** with LoRA
+- **Educational conversation dataset** focused on programming concepts
+- **Optimized for Q&A format** with system/user/assistant roles
+
+## Intended Use
+
+This model is designed for:
+- 📚 Educational programming Q&A
+- 💡 Concept explanations in computer science
+- 🔧 Code debugging assistance
+- 🎓 Technical tutoring and learning support
+
+## Limitations
+
+- Based on codellama/CodeLlama-7b-Instruct-hf, inherits its limitations
+- Optimized for educational content, may not perform well on other tasks
+- Requires base model for inference (LoRA adapters only)
+- Performance depends on the quality of training data
+
+## Model Architecture
+
+This is a LoRA adapter that needs to be loaded with the base model. The adapter files are:
+- `adapter_config.json`: LoRA configuration
+- `adapter_model.safetensors`: Trained LoRA weights
+
+## License
+
+This model follows the same license as the base model: Llama 2 Custom License.
+
+## Citation
+
+If you use this model, please cite:
+
+```bibtex
+@misc{CodeLLaMa7B_FineTuned_byMoomen,
+  title={CodeLLaMa7B-FineTuned-byMoomen},
+  author={Moomen123Msaadi},
+  year={2024},
+  publisher={Hugging Face},
+  url={https://huggingface.co/Moomen123Msaadi/CodeLLaMa7B-FineTuned-byMoomen}
+}
+```

adapter_config.json

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+  "base_model_name_or_path": "codellama/CodeLlama-7b-Instruct-hf",
+  "bias": "none",
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+  "init_lora_weights": true,
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+  "loftq_config": {},
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+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
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+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
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+    "lm_head",
+    "k_proj",
+    "q_proj",
+    "up_proj",
+    "down_proj",
+    "v_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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chat_template.jinja

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+{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if loop.index0 == 0 and system_message != false %}{% set content = '<<SYS>>\n' + system_message + '\n<</SYS>>\n\n' + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if message['role'] == 'user' %}{{ bos_token + '[INST] ' + content | trim + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ ' '  + content | trim + ' ' + eos_token }}{% endif %}{% endfor %}

checkpoint-100/README.md

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+---
+base_model: codellama/CodeLlama-7b-Instruct-hf
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.15.2

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+    "▁<EOT>"
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+      "content": "▁<EOT>",
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+    "▁<EOT>"
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+  "eot_token": "▁<EOT>",
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special_tokens_map.json

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+    "▁<EOT>"
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tokenizer.model

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tokenizer_config.json

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+      "content": "▁<EOT>",
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+    "▁<EOT>"
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+  "eot_token": "▁<EOT>",
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+}

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