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README.md

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+---
+license: llama2
+language:
+- en
+library_name: transformers
+pipeline_tag: text-generation
+tags:
+- CodeMate
+- Code
+---
+
+# **CodeMate-v0.1**
+
+CodeMate-v0.1 is an intelligent programming assistant developed by [CodeMate](https://codemate.ai).
+This model aims to assist users in generating high-quality code solutions for programming problems. 
+Please note that this model is currently in version 0.1.
+
+## Model Details
+
+- **Training Data:** Exclusively fine-tuned on a proprietary dataset of 1.8 billion tokens of high-quality programming problems and solutions.
+- The dataset was generated manually and is internal to CodeMate.
+
+- **Training Techniques:** The model was fine-tuned using Flash Attention 2, trained over 15 hours on 40 A100-80GB GPUs.
+- A sequence length of 8096 tokens was used during training.
+
+- **Multilingual Support:** CodeMate-v0.1 is proficient in multiple programming languages, including Python, C/C++, TypeScript, Java, and more.
+
+## How to Get Started with the Model
+
+Make sure to install Transformers from the main git branch:
+
+```bash
+pip install git+https://github.com/huggingface/transformers.git
+```
+
+## How to Prompt the Model
+
+This model accepts prompts in the Alpaca/Vicuna instruction format. For example:
+
+```markdown
+### System Prompt
+You are an intelligent programming assistant.
+
+### User Message
+Implement a linked list in C++
+
+### Assistant
+...
+```
+
+## Load the Model:
+
+To load the model, utilize the following Python script:
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+# Initialize the model
+model_path = "codemateai/CodeMate-v0.1"
+model = AutoModelForCausalLM.from_pretrained(model_path, device_map="auto")
+tokenizer = AutoTokenizer.from_pretrained(model_path)
+
+# ... generate response ...
+
+```
+
+## Bias, Risks, and Limitations
+
+This model has undergone very limited testing. CodeMate recommends additional safety testing before any real-world deployments.
+
+For more information and updates, visit the [CodeMate website](https://codemate.ai).

config.json

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+{
+  "_name_or_path": "codemateai/CodeMate-v0.1",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 8192,
+  "initializer_range": 0.02,
+  "intermediate_size": 22016,
+  "max_position_embeddings": 16384,
+  "model_type": "llama",
+  "num_attention_heads": 64,
+  "num_hidden_layers": 48,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 1000000,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.36.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

model.safetensors.index.json

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output-00002-of-00002.safetensors

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special_tokens_map.json

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tokenizer_config.json

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+}