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README.md

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+---
+license: mit
+datasets:
+- CreitinGameplays/merged-data-v2
+base_model: 
+- mistralai/Mistral-7B-v0.3
+- mistralai/Mistral-7B-Instruct-v0.3
+language:
+- en
+---
+# **ConvAI-9b v2: A Conversational AI Model**
+![img](https://huggingface.co/CreitinGameplays/ConvAI-9b/resolve/main/convai.png)
+## **1. Model Details**
+
+* **Model Name:** ConvAI-9b v2
+* **Authors:** CreitinGameplays
+* **Date:** May 29th, 2024 
+
+## **2. Model Description**
+
+ConvAI-9b v2 is a fine-tuned conversational AI model with 9 billion parameters. It is based on the following models:
+
+* **Base Model:** [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3)
+* **Merged Model:** [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3)
+
+## **3. Training Data**
+
+The model was fine-tuned on a custom dataset of conversations between an AI assistant and a user. The dataset format followed a specific structure:
+
+ ```
+<|system|> (system prompt, e.g.: You are a helpful AI language model called ChatGPT, your goal is helping users with their questions) </s> <|user|> (user prompt) </s>
+```
+
+
+## **4. Intended Uses**
+
+ConvAI-9b is intended for use in conversational AI applications, such as:
+
+* Chatbots
+* Virtual assistants
+* Interactive storytelling
+* Educational tools
+
+## **5. Limitations**
+
+* Like any other language model, ConvAI-9b v2 may generate incorrect or misleading responses.
+* It may exhibit biases present in the training data.
+* The model's performance can be affected by the quality and format of the input text.
+
+## **6. Evaluation**
+~ soon

config.json

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+{
+    "_name_or_path": "./merged",
+    "architectures": [
+        "MistralForCausalLM"
+    ],
+    "attention_dropout": 0.0,
+    "bos_token_id": 1,
+    "eos_token_id": 2,
+    "hidden_act": "silu",
+    "hidden_size": 4096,
+    "initializer_range": 0.02,
+    "intermediate_size": 14336,
+    "max_position_embeddings": 32768,
+    "model_type": "mistral",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 40,
+    "num_key_value_heads": 8,
+    "rms_norm_eps": 1e-05,
+    "rope_theta": 1000000.0,
+    "sliding_window": null,
+    "tie_word_embeddings": false,
+    "torch_dtype": "float16",
+    "transformers_version": "4.41.1",
+    "use_cache": true,
+    "vocab_size": 32768,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.1.1",
+        "bits": 2.2,
+        "head_bits": 6,
+        "calibration": {
+            "rows": 100,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.41.1"
+}

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