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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+cria-llama2-7b-v1.3 - GGUF
+- Model creator: https://huggingface.co/davzoku/
+- Original model: https://huggingface.co/davzoku/cria-llama2-7b-v1.3/
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [cria-llama2-7b-v1.3.Q2_K.gguf](https://huggingface.co/RichardErkhov/davzoku_-_cria-llama2-7b-v1.3-gguf/blob/main/cria-llama2-7b-v1.3.Q2_K.gguf) | Q2_K | 2.36GB |
+| [cria-llama2-7b-v1.3.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/davzoku_-_cria-llama2-7b-v1.3-gguf/blob/main/cria-llama2-7b-v1.3.IQ3_XS.gguf) | IQ3_XS | 2.6GB |
+| [cria-llama2-7b-v1.3.IQ3_S.gguf](https://huggingface.co/RichardErkhov/davzoku_-_cria-llama2-7b-v1.3-gguf/blob/main/cria-llama2-7b-v1.3.IQ3_S.gguf) | IQ3_S | 2.75GB |
+| [cria-llama2-7b-v1.3.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/davzoku_-_cria-llama2-7b-v1.3-gguf/blob/main/cria-llama2-7b-v1.3.Q3_K_S.gguf) | Q3_K_S | 2.75GB |
+| [cria-llama2-7b-v1.3.IQ3_M.gguf](https://huggingface.co/RichardErkhov/davzoku_-_cria-llama2-7b-v1.3-gguf/blob/main/cria-llama2-7b-v1.3.IQ3_M.gguf) | IQ3_M | 2.9GB |
+| [cria-llama2-7b-v1.3.Q3_K.gguf](https://huggingface.co/RichardErkhov/davzoku_-_cria-llama2-7b-v1.3-gguf/blob/main/cria-llama2-7b-v1.3.Q3_K.gguf) | Q3_K | 3.07GB |
+| [cria-llama2-7b-v1.3.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/davzoku_-_cria-llama2-7b-v1.3-gguf/blob/main/cria-llama2-7b-v1.3.Q3_K_M.gguf) | Q3_K_M | 3.07GB |
+| [cria-llama2-7b-v1.3.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/davzoku_-_cria-llama2-7b-v1.3-gguf/blob/main/cria-llama2-7b-v1.3.Q3_K_L.gguf) | Q3_K_L | 3.35GB |
+| [cria-llama2-7b-v1.3.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/davzoku_-_cria-llama2-7b-v1.3-gguf/blob/main/cria-llama2-7b-v1.3.IQ4_XS.gguf) | IQ4_XS | 3.4GB |
+| [cria-llama2-7b-v1.3.Q4_0.gguf](https://huggingface.co/RichardErkhov/davzoku_-_cria-llama2-7b-v1.3-gguf/blob/main/cria-llama2-7b-v1.3.Q4_0.gguf) | Q4_0 | 3.56GB |
+| [cria-llama2-7b-v1.3.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/davzoku_-_cria-llama2-7b-v1.3-gguf/blob/main/cria-llama2-7b-v1.3.IQ4_NL.gguf) | IQ4_NL | 3.58GB |
+| [cria-llama2-7b-v1.3.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/davzoku_-_cria-llama2-7b-v1.3-gguf/blob/main/cria-llama2-7b-v1.3.Q4_K_S.gguf) | Q4_K_S | 3.59GB |
+| [cria-llama2-7b-v1.3.Q4_K.gguf](https://huggingface.co/RichardErkhov/davzoku_-_cria-llama2-7b-v1.3-gguf/blob/main/cria-llama2-7b-v1.3.Q4_K.gguf) | Q4_K | 3.8GB |
+| [cria-llama2-7b-v1.3.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/davzoku_-_cria-llama2-7b-v1.3-gguf/blob/main/cria-llama2-7b-v1.3.Q4_K_M.gguf) | Q4_K_M | 3.8GB |
+| [cria-llama2-7b-v1.3.Q4_1.gguf](https://huggingface.co/RichardErkhov/davzoku_-_cria-llama2-7b-v1.3-gguf/blob/main/cria-llama2-7b-v1.3.Q4_1.gguf) | Q4_1 | 3.95GB |
+| [cria-llama2-7b-v1.3.Q5_0.gguf](https://huggingface.co/RichardErkhov/davzoku_-_cria-llama2-7b-v1.3-gguf/blob/main/cria-llama2-7b-v1.3.Q5_0.gguf) | Q5_0 | 4.33GB |
+| [cria-llama2-7b-v1.3.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/davzoku_-_cria-llama2-7b-v1.3-gguf/blob/main/cria-llama2-7b-v1.3.Q5_K_S.gguf) | Q5_K_S | 4.33GB |
+| [cria-llama2-7b-v1.3.Q5_K.gguf](https://huggingface.co/RichardErkhov/davzoku_-_cria-llama2-7b-v1.3-gguf/blob/main/cria-llama2-7b-v1.3.Q5_K.gguf) | Q5_K | 4.45GB |
+| [cria-llama2-7b-v1.3.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/davzoku_-_cria-llama2-7b-v1.3-gguf/blob/main/cria-llama2-7b-v1.3.Q5_K_M.gguf) | Q5_K_M | 4.45GB |
+| [cria-llama2-7b-v1.3.Q5_1.gguf](https://huggingface.co/RichardErkhov/davzoku_-_cria-llama2-7b-v1.3-gguf/blob/main/cria-llama2-7b-v1.3.Q5_1.gguf) | Q5_1 | 4.72GB |
+| [cria-llama2-7b-v1.3.Q6_K.gguf](https://huggingface.co/RichardErkhov/davzoku_-_cria-llama2-7b-v1.3-gguf/blob/main/cria-llama2-7b-v1.3.Q6_K.gguf) | Q6_K | 5.15GB |
+| [cria-llama2-7b-v1.3.Q8_0.gguf](https://huggingface.co/RichardErkhov/davzoku_-_cria-llama2-7b-v1.3-gguf/blob/main/cria-llama2-7b-v1.3.Q8_0.gguf) | Q8_0 | 6.67GB |
+
+
+
+
+Original model description:
+---
+inference: false
+language: en
+license: llama2
+model_type: llama
+datasets:
+  - mlabonne/CodeLlama-2-20k
+pipeline_tag: text-generation
+tags:
+  - llama-2
+---
+
+# CRIA v1.3
+
+💡 [Article](https://walterteng.com/cria) |
+💻 [Github](https://github.com/davzoku/cria) |
+📔 Colab [1](https://colab.research.google.com/drive/1rYTs3qWJerrYwihf1j0f00cnzzcpAfYe),[2](https://colab.research.google.com/drive/1Wjs2I1VHjs6zT_GE42iEXsLtYh6VqiJU)
+
+## What is CRIA?
+
+> krē-ə plural crias. : a baby llama, alpaca, vicuña, or guanaco.
+
+<p align="center">
+  <img src="https://raw.githubusercontent.com/davzoku/cria/main/assets/icon-512x512.png" width="300" height="300" alt="Cria Logo"> <br>
+  <i>or what ChatGPT suggests, <b>"Crafting a Rapid prototype of an Intelligent llm App using open source resources"</b>.</i>
+</p>
+
+The initial objective of the CRIA project is to develop a comprehensive end-to-end chatbot system, starting from the instruction-tuning of a large language model and extending to its deployment on the web using frameworks such as Next.js. 
+
+Specifically, we have fine-tuned the `llama-2-7b-chat-hf` model with QLoRA (4-bit precision) using the [mlabonne/CodeLlama-2-20k](https://huggingface.co/datasets/mlabonne/CodeLlama-2-20k) dataset. This fine-tuned model serves as the backbone for the [CRIA chat](https://chat.walterteng.com) platform.
+
+## 📦 Model Release
+
+CRIA v1.3 comes with several variants.
+
+- [davzoku/cria-llama2-7b-v1.3](https://huggingface.co/davzoku/cria-llama2-7b-v1.3): Merged Model
+- [davzoku/cria-llama2-7b-v1.3-GGML](https://huggingface.co/davzoku/cria-llama2-7b-v1.3-GGML): Quantized Merged Model
+- [davzoku/cria-llama2-7b-v1.3_peft](https://huggingface.co/davzoku/cria-llama2-7b-v1.3_peft): PEFT adapter
+
+## 🔧 Training
+
+It was trained on a Google Colab notebook with a T4 GPU and high RAM.
+
+### Training procedure
+
+
+The following `bitsandbytes` quantization config was used during training:
+- load_in_8bit: False
+- load_in_4bit: True
+- llm_int8_threshold: 6.0
+- llm_int8_skip_modules: None
+- llm_int8_enable_fp32_cpu_offload: False
+- llm_int8_has_fp16_weight: False
+- bnb_4bit_quant_type: nf4
+- bnb_4bit_use_double_quant: False
+- bnb_4bit_compute_dtype: float16
+  
+### Framework versions
+
+
+- PEFT 0.4.0
+
+
+## 💻 Usage
+
+```python
+# pip install transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "davzoku/cria-llama2-7b-v1.3"
+prompt = "What is a cria?"
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    torch_dtype=torch.float16,
+    device_map="auto",
+)
+
+sequences = pipeline(
+    f'<s>[INST] {prompt} [/INST]',
+    do_sample=True,
+    top_k=10,
+    num_return_sequences=1,
+    eos_token_id=tokenizer.eos_token_id,
+    max_length=200,
+)
+for seq in sequences:
+    print(f"Result: {seq['generated_text']}")
+```
+
+## References
+
+We'd like to thank:
+
+- [mlabonne](https://huggingface.co/mlabonne) for his article and resources on implementation of instruction tuning
+- [TheBloke](https://huggingface.co/TheBloke) for his script for LLM quantization.
+
+
+