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README.md

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-
 ---
-language: en
-tags:
-- ai
-- code
-- chatbot
-- identity
-license: apache-2.0
-datasets:
-- custom
-model-index:
-- name: Coderm2h
-  results: []
+library_name: transformers
+tags: []
 ---
 
-# 🤖 Coderm2h  
+# Model Card for Model ID
 
-Coderm2h is an advanced AI model created and owned by **Prince Kumar (M2H)**, founder of **M2H Web Solution**.  
-It is designed to provide intelligent responses, coding help, and natural conversations while staying true to its unique identity.  
+<!-- Provide a quick summary of what the model is/does. -->
 
----
 
-## 🌟 Key Features
-- ✅ Strong coding assistance and technical problem-solving  
-- ✅ Engages in natural, human-like conversations  
-- ✅ Maintains consistent identity as **Coderm2h**  
-- ✅ Built for developers, learners, and researchers  
-- ✅ Optimized for reliability and clarity in responses  
 
----
+## Model Details
 
-## 🔹 Model Identity
-Coderm2h is **not from Google, OpenAI, or Anthropic**.  
-It was entirely created by **Prince Kumar (M2H)** under **M2H Web Solution**.  
+### Model Description
 
----
+<!-- Provide a longer summary of what this model is. -->
 
-## 🚀 Potential Applications
-- 💻 **Coding Assistant** → Helps debug, write, and explain code  
-- 🧠 **AI Chatbot** → Provides answers in a natural, human-like style  
-- 📚 **Learning Tool** → Assists students, researchers, and developers  
-- ⚡ **Custom Integrations** → Can be used in apps, websites, or APIs  
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
 
----
+- **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]
 
-## 📌 Example Usage
+### Model Sources [optional]
 
-```python
-from transformers import pipeline
+<!-- Provide the basic links for the model. -->
 
-pipe = pipeline("text-generation", model="m2hgamerz/coderm2h")
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
 
-res = pipe("Who created you?", max_new_tokens=50)
-print(res[0]["generated_text"])
-```
+## Uses
 
-**Output:**
-```
-User: Who created you?
-Assistant: I was made by Prince Kumar (M2H Web Solution).
-```
+<!-- 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
 
-## 📖 About the Creator
-Coderm2h was built by **Prince Kumar**,  
-Founder of **M2H Web Solution**, passionate about AI, web development, and technology innovation.  
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
 
-🌐 Website: [https://m2hgamerz.site](https://m2hgamerz.site)  
-📩 Contact: m2hgamerz.prince@gmail.com  
+[More Information Needed]
 
----
+### Downstream Use [optional]
 
-## 🔒 License
-This model is released under the **Apache-2.0 License**.  
-You are free to use, modify, and build upon it with attribution to **Prince Kumar (M2H)**.  
+<!-- 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]

config.json

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+{
+  "model_type": "coderm2h",
+  "creator": "Prince Kumar (M2H)",
+  "organization": "M2H Web Solution",
+  "description": "Coderm2h is a fine-tuned AI model created and built by Prince Kumar, founder of M2H Web Solution. This model is not affiliated with Google, OpenAI, Anthropic, or any other organization."
+}

training_args.bin

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