Text Generation
Transformers
Safetensors
Portuguese
llama
analytics
analise-dados
portugues-BR
conversational
text-generation-inference
Instructions to use semantixai/Lloro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use semantixai/Lloro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="semantixai/Lloro") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("semantixai/Lloro") model = AutoModelForCausalLM.from_pretrained("semantixai/Lloro") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use semantixai/Lloro with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "semantixai/Lloro" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "semantixai/Lloro", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/semantixai/Lloro
- SGLang
How to use semantixai/Lloro with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "semantixai/Lloro" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "semantixai/Lloro", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "semantixai/Lloro" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "semantixai/Lloro", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use semantixai/Lloro with Docker Model Runner:
docker model run hf.co/semantixai/Lloro
Upload Tokenizer v3
#8
by rafaelgeraldini - opened
- README.md +5 -5
- special_tokens_map.json +33 -4
- tokenizer.json +10 -0
- tokenizer_config.json +17 -1
README.md
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---
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library_name: transformers
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base_model: codellama/CodeLlama-7b-Instruct-hf
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license: llama2
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datasets:
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- semantixai/Test-Dataset-Lloro
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language:
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- pt
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tags:
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- code
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- analytics
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- analise-dados
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- portugues-BR
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---
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**Lloro 7B**
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---
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language:
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- pt
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+
license: llama2
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library_name: transformers
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tags:
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- code
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- analytics
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- analise-dados
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- portugues-BR
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+
base_model: codellama/CodeLlama-7b-Instruct-hf
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datasets:
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- semantixai/Test-Dataset-Lloro
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---
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**Lloro 7B**
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special_tokens_map.json
CHANGED
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@@ -7,13 +7,42 @@
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"▁<SUF>",
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"▁<MID>",
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"▁<EOT>",
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"▁<PRE>",
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"▁<MID>",
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"▁<SUF>",
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"▁<EOT>"
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],
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-
"bos_token":
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-
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-
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-
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}
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"▁<SUF>",
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"▁<MID>",
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"▁<EOT>",
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"[PAD]",
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+
"▁<PRE>",
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+
"▁<MID>",
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+
"▁<SUF>",
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+
"▁<EOT>",
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"▁<PRE>",
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"▁<MID>",
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"▁<SUF>",
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"▁<EOT>"
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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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},
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"eos_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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},
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"pad_token": {
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"content": "[PAD]",
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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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},
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"unk_token": {
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"content": "<unk>",
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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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}
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}
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tokenizer.json
CHANGED
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"rstrip": true,
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"normalized": false,
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"special": true
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}
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],
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"normalizer": {
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"end_of_word_suffix": null,
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"fuse_unk": true,
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"byte_fallback": true,
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"vocab": {
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"<unk>": 0,
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"<s>": 1,
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"rstrip": true,
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"normalized": false,
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"special": true
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},
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{
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"id": 32016,
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"content": "[PAD]",
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"single_word": false,
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"lstrip": false,
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"rstrip": false,
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"normalized": false,
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"special": true
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}
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],
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"normalizer": {
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"end_of_word_suffix": null,
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"fuse_unk": true,
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"byte_fallback": true,
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"ignore_merges": false,
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"vocab": {
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"<unk>": 0,
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"<s>": 1,
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"rstrip": true,
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"single_word": false,
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"special": true
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}
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},
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"additional_special_tokens": [
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"▁<SUF>",
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"▁<MID>",
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"▁<EOT>",
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"▁<PRE>",
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"▁<MID>",
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"▁<SUF>",
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"▁<EOT>"
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],
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"eot_token": "▁<EOT>",
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"legacy": null,
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"middle_token": "▁<MID>",
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"model_max_length": 1000000000000000019884624838656,
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-
"pad_token": "
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"prefix_token": "▁<PRE>",
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"sp_model_kwargs": {},
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"suffix_token": "▁<SUF>",
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"rstrip": true,
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"single_word": false,
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"special": true
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},
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"32016": {
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"content": "[PAD]",
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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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"special": true
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}
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},
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"additional_special_tokens": [
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"▁<SUF>",
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"▁<MID>",
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"▁<EOT>",
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+
"[PAD]",
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+
"▁<PRE>",
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+
"▁<MID>",
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+
"▁<SUF>",
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+
"▁<EOT>",
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"▁<PRE>",
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"▁<MID>",
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"▁<SUF>",
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"▁<EOT>"
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],
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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 | trim + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ ' ' + content | trim + ' ' + eos_token }}{% endif %}{% endfor %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"eot_token": "▁<EOT>",
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"legacy": null,
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"middle_token": "▁<MID>",
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"model_max_length": 1000000000000000019884624838656,
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+
"pad_token": "[PAD]",
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"prefix_token": "▁<PRE>",
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"sp_model_kwargs": {},
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"suffix_token": "▁<SUF>",
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