Text Generation
Transformers
Safetensors
llama
conversational
text-generation-inference
🇪🇺 Region: EU
Instructions to use BSC-LT/salamandra-7b-instruct-aina-hack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BSC-LT/salamandra-7b-instruct-aina-hack with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="BSC-LT/salamandra-7b-instruct-aina-hack") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("BSC-LT/salamandra-7b-instruct-aina-hack") model = AutoModelForCausalLM.from_pretrained("BSC-LT/salamandra-7b-instruct-aina-hack") 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 Settings
- vLLM
How to use BSC-LT/salamandra-7b-instruct-aina-hack with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "BSC-LT/salamandra-7b-instruct-aina-hack" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "BSC-LT/salamandra-7b-instruct-aina-hack", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/BSC-LT/salamandra-7b-instruct-aina-hack
- SGLang
How to use BSC-LT/salamandra-7b-instruct-aina-hack 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 "BSC-LT/salamandra-7b-instruct-aina-hack" \ --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": "BSC-LT/salamandra-7b-instruct-aina-hack", "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 "BSC-LT/salamandra-7b-instruct-aina-hack" \ --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": "BSC-LT/salamandra-7b-instruct-aina-hack", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use BSC-LT/salamandra-7b-instruct-aina-hack with Docker Model Runner:
docker model run hf.co/BSC-LT/salamandra-7b-instruct-aina-hack
mapama247 commited on
Commit ·
c8c3040
1
Parent(s): 784e3d0
add tokenizer files
Browse files- special_tokens_map.json +28 -0
- tokenizer.json +3 -0
- tokenizer.model +3 -0
- tokenizer_config.json +64 -0
special_tokens_map.json
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{
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"additional_special_tokens": [
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"<|im_start|>",
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"<|im_end|>"
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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": "<unk>",
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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
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version https://git-lfs.github.com/spec/v1
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oid sha256:139de51e6bbe12b772a255e157829f43bd67b63a4d55f1fe0e3abce37b2d8c9a
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size 19066993
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:fa490e57cebce5cb1a0a5b1a5d3fa4de05aee53dc3a44791f1c3401db44d802d
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size 4813274
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"add_prefix_space": true,
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"added_tokens_decoder": {
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"0": {
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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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"special": true
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},
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"1": {
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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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"special": true
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},
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"2": {
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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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"special": true
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},
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"4": {
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"content": "<|im_start|>",
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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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"5": {
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"content": "<|im_end|>",
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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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"<|im_start|>",
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"<|im_end|>"
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],
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"bos_token": "<s>",
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"chat_template": "{%- if not date_string is defined %}{%- set date_string = \"2024-09-30\" %}{%- endif %}{%- set system_message = messages[0].content if messages[0].role == \"system\" else \"You are Salamandra, an AI language model developed at the Barcelona Supercomputing Centre (BSC) by the Language Technologies Unit. Your knowledge base was last updated on August 2023. Today Date: \"+ date_string -%}{%- if messages[0].role == \"system\" -%}{%- set messages = messages[1:] -%}{%- endif -%}{{ \"<|im_start|>system\n\" + system_message + \"<|im_end|>\n\" }}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": true,
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"model_max_length": 8192,
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"pad_token": "<unk>",
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"padding_side": "right",
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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