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LICENSE.txt

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+LLAMA 2 COMMUNITY LICENSE AGREEMENT	
+Llama 2 Version Release Date: July 18, 2023
+
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+
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README.md

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+---
+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
+- [davzoku/cria-llama2-7b-v1.3-GGUF](https://huggingface.co/davzoku/cria-llama2-7b-v1.3-GGUF): GGUF Format
+  - converted from ggml vq4_0 using `python3 convert-llama-ggml-to-gguf.py -i ../text-generation-webui/models/cria/cria-llama2-7b-v1.3.ggmlv3.q4_0.bin -o cria-llama2-7b-v1.3.gguf`
+- [davzoku/cria-llama2-7b-v1.3-mlx](https://huggingface.co/davzoku/cria-llama2-7b-v1.3-mlx): MLX Format in FP16
+  - Converted from [davzoku/cria-llama2-7b-v1.3](https://huggingface.co/davzoku/cria-llama2-7b-v1.3) using [mlx-examples](https://github.com/davzoku/mlx-examples). see [NOTES.md](https://github.com/davzoku/mlx-examples/blob/cria/notes/NOTES.md)
+- [davzoku/cria-llama2-7b-v1.3-q4-mlx](https://huggingface.co/davzoku/cria-llama2-7b-v1.3-q4-mlx): MLX Format in Q4
+  - Converted from [davzoku/cria-llama2-7b-v1.3](https://huggingface.co/davzoku/cria-llama2-7b-v1.3) using [mlx-examples](https://github.com/davzoku/mlx-examples). see [NOTES.md](https://github.com/davzoku/mlx-examples/blob/cria/notes/NOTES.md)
+
+## 🔧 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
+
+This model was converted to MLX format from [davzoku/cria-llama2-7b-v1.3](https://huggingface.co/davzoku/cria-llama2-7b-v1.3).
+
+### Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("davzoku/cria-llama2-7b-v1.3-mlx")
+response = generate(model, tokenizer, prompt="hello", verbose=True)
+```
+
+### Original 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.

added_tokens.json

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config.json

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+    "remove_invalid_values": false,
+    "exponential_decay_length_penalty": null,
+    "suppress_tokens": null,
+    "begin_suppress_tokens": null,
+    "architectures": [
+        "LlamaForCausalLM"
+    ],
+    "finetuning_task": null,
+    "id2label": {
+        "0": "LABEL_0",
+        "1": "LABEL_1"
+    },
+    "label2id": {
+        "LABEL_0": 0,
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+    "sep_token_id": null,
+    "decoder_start_token_id": null,
+    "task_specific_params": null,
+    "problem_type": null,
+    "_name_or_path": "/Users/walter/.cache/huggingface/hub/models--davzoku--cria-llama2-7b-v1.3/snapshots/1b194a1802f267ddda16bd6b6060ed5f3ec4c81c",
+    "transformers_version": "4.37.0",
+    "model_type": "llama"
+}

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+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
+size 499723

tokenizer_config.json

@@ -0,0 +1,48 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32000": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": false,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}