Quant for 4.25

README.md

@@ -7,63 +7,65 @@ pipeline_tag: text-generation
 tags:
 - CodeMate
 - Code
-quantized_by: bartowski
 ---
 
-## Exllama v2 Quantizations of CodeMate-v0.1
+# **CodeMate-v0.1**
 
-Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.12">turboderp's ExLlamaV2 v0.0.12</a> for quantization.
+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.
 
-## The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)
+## Model Details
 
-Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
+- **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.
 
-Conversion was done using the default calibration dataset.
+- **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.
 
-Default arguments used except when the bits per weight is above 6.0, at that point the lm_head layer is quantized at 8 bits per weight instead of the default 6.
+- **Multilingual Support:** CodeMate-v0.1 is proficient in multiple programming languages, including Python, C/C++, TypeScript, Java, and more.
 
-Original model: https://huggingface.co/codemateai/CodeMate-v0.1
+## How to Get Started with the Model
 
+Make sure to install Transformers from the main git branch:
 
-<a href="https://huggingface.co/bartowski/CodeMate-v0.1-exl2/tree/6_5">6.5 bits per weight</a>\n
-<a href="https://huggingface.co/bartowski/CodeMate-v0.1-exl2/tree/4_25">4.25 bits per weight</a>\n
-<a href="https://huggingface.co/bartowski/CodeMate-v0.1-exl2/tree/3_5">3.5 bits per weight</a>\n
-<a href="https://huggingface.co/bartowski/CodeMate-v0.1-exl2/tree/3_0">3.0 bits per weight</a>\n
-<a href="https://huggingface.co/bartowski/CodeMate-v0.1-exl2/tree/2_4">2.4 bits per weight</a>\n
+```bash
+pip install git+https://github.com/huggingface/transformers.git
+```
 
-## Download instructions
+## How to Prompt the Model
 
-With git:
+This model accepts prompts in the Alpaca/Vicuna instruction format. For example:
 
-```shell
-git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/CodeMate-v0.1-exl2
-```
+```markdown
+### System Prompt
+You are an intelligent programming assistant.
 
-With huggingface hub (credit to TheBloke for instructions):
+### User Message
+Implement a linked list in C++
 
-```shell
-pip3 install huggingface-hub
+### Assistant
+...
 ```
 
-To download the `main` (only useful if you only care about measurement.json) branch to a folder called `CodeMate-v0.1-exl2`:
+## Load the Model:
 
-```shell
-mkdir CodeMate-v0.1-exl2
-huggingface-cli download bartowski/CodeMate-v0.1-exl2 --local-dir CodeMate-v0.1-exl2 --local-dir-use-symlinks False
-```
+To load the model, utilize the following Python script:
 
-To download from a different branch, add the `--revision` parameter:
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
 
-Linux:
+# 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 ...
 
-```shell
-mkdir CodeMate-v0.1-exl2-6_5
-huggingface-cli download bartowski/CodeMate-v0.1-exl2 --revision 6_5 --local-dir CodeMate-v0.1-exl2-6_5 --local-dir-use-symlinks False
 ```
 
-Windows (which apparently doesn't like _ in folders sometimes?):
+## Bias, Risks, and Limitations
+
+This model has undergone very limited testing. CodeMate recommends additional safety testing before any real-world deployments.
 
-```shell
-mkdir CodeMate-v0.1-exl2-6.5
-huggingface-cli download bartowski/CodeMate-v0.1-exl2 --revision 6_5 --local-dir CodeMate-v0.1-exl2-6.5 --local-dir-use-symlinks False
-```
+For more information and updates, visit the [CodeMate website](https://codemate.ai).

config.json

@@ -0,0 +1,28 @@
+{
+  "_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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