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  1. LICENSE.txt +126 -0
  2. README.md +36 -3
  3. genai_config.json +49 -0
  4. model.onnx +3 -0
  5. special_tokens_map.json +23 -0
  6. tokenizer.json +0 -0
  7. tokenizer_config.json +43 -0
LICENSE.txt ADDED
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+ LLAMA 2 COMMUNITY LICENSE AGREEMENT
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+ Llama 2 Version Release Date: July 18, 2023
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+ "Agreement" means the terms and conditions for use, reproduction, distribution and
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+ modification of the Llama Materials set forth herein.
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+ accompanying Llama 2 distributed by Meta at ai.meta.com/resources/models-and-
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+ "Llama 2" means the foundational large language models and software and
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+
README.md CHANGED
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- ---
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- license: llama2
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: apache-2.0
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+ inference: false
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+ ---
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+
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+ # bling-tiny-llama-ov
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+ **bling-tiny-llama-ov** is an OpenVino int4 quantized version of BLING Tiny-Llama 1B, providing a very fast, very small inference implementation, optimized for AI PCs using Intel GPU, CPU and NPU.
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+
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+ [**bling-tiny-llama**](https://huggingface.co/llmware/bling-tiny-llama-v0) is a fact-based question-answering model, optimized for complex business documents.
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+
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+ Get started right away with [OpenVino](https://github.com/openvinotoolkit/openvino)
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+
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+ Looking for AI PC solutions and demos, contact us at [llmware](https://www.llmware.ai)
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+
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+
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+ ### Model Description
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+
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+ - **Developed by:** llmware
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+ - **Model type:** tinyllama
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+ - **Parameters:** 1.1 billion
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+ - **Model Parent:** llmware/bling-tiny-llama-v0
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+ - **Language(s) (NLP):** English
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+ - **License:** Apache 2.0
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+ - **Uses:** Fact-based question-answering
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+ - **RAG Benchmark Accuracy Score:** 86.5
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+ - **Quantization:** int4
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+
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+
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+ ## Model Card Contact
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+
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+ [llmware on hf](https://www.huggingface.co/llmware)
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+
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+ [llmware website](https://www.llmware.ai)
genai_config.json ADDED
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+ {
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+ "model": {
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+ "bos_token_id": 1,
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+ "context_length": 4096,
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+ "decoder": {
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+ "session_options": {
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+ "log_id": "onnxruntime-genai",
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+ "provider_options": []
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+ },
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+ "filename": "model.onnx",
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+ "head_size": 128,
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+ "hidden_size": 4096,
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+ "inputs": {
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+ "input_ids": "input_ids",
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+ "attention_mask": "attention_mask",
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+ "past_key_names": "past_key_values.%d.key",
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+ "past_value_names": "past_key_values.%d.value"
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+ },
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+ "outputs": {
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+ "logits": "logits",
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+ "present_key_names": "present.%d.key",
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+ "present_value_names": "present.%d.value"
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+ },
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 32
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+ },
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+ "eos_token_id": 2,
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+ "pad_token_id": 0,
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+ "type": "llama",
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+ "vocab_size": 32000
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+ },
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+ "search": {
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+ "diversity_penalty": 0.0,
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+ "do_sample": true,
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+ "early_stopping": true,
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+ "length_penalty": 1.0,
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+ "max_length": 4096,
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+ "min_length": 0,
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+ "no_repeat_ngram_size": 0,
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+ "num_beams": 1,
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+ "num_return_sequences": 1,
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+ "past_present_share_buffer": true,
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+ "repetition_penalty": 1.0,
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+ "temperature": 0.6,
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+ "top_k": 1,
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+ "top_p": 0.9
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+ }
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+ }
model.onnx ADDED
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special_tokens_map.json ADDED
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+ {
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+ "bos_token": {
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+ "content": "<s>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "rstrip": false,
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+ "single_word": false
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+ "eos_token": {
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+ "unk_token": {
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+ "lstrip": false,
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+ }
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+ }
tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ "bos_token": "<s>",
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+ "chat_template": "{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if loop.index0 == 0 and system_message != false %}{% set content = '<<SYS>>\\n' + system_message + '\\n<</SYS>>\\n\\n' + message['content'] %}{% else %}{% set content = message['content'] %}{% endif %}{% if message['role'] == 'user' %}{{ bos_token + '[INST] ' + content.strip() + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ ' ' + content.strip() + ' ' + eos_token }}{% endif %}{% endfor %}",
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+ "clean_up_tokenization_spaces": false,
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+ }