Text Generation
Transformers
Safetensors
GGUF
Polish
llama
finetuned
conversational
text-generation-inference
4-bit precision
awq
Instructions to use speakleash/Bielik-11B-v2.6-Instruct-AWQ with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use speakleash/Bielik-11B-v2.6-Instruct-AWQ with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="speakleash/Bielik-11B-v2.6-Instruct-AWQ") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("speakleash/Bielik-11B-v2.6-Instruct-AWQ") model = AutoModelForMultimodalLM.from_pretrained("speakleash/Bielik-11B-v2.6-Instruct-AWQ") 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 speakleash/Bielik-11B-v2.6-Instruct-AWQ with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "speakleash/Bielik-11B-v2.6-Instruct-AWQ" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "speakleash/Bielik-11B-v2.6-Instruct-AWQ", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/speakleash/Bielik-11B-v2.6-Instruct-AWQ
- SGLang
How to use speakleash/Bielik-11B-v2.6-Instruct-AWQ 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 "speakleash/Bielik-11B-v2.6-Instruct-AWQ" \ --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": "speakleash/Bielik-11B-v2.6-Instruct-AWQ", "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 "speakleash/Bielik-11B-v2.6-Instruct-AWQ" \ --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": "speakleash/Bielik-11B-v2.6-Instruct-AWQ", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use speakleash/Bielik-11B-v2.6-Instruct-AWQ with Docker Model Runner:
docker model run hf.co/speakleash/Bielik-11B-v2.6-Instruct-AWQ
| { | |
| "additional_special_tokens": [ | |
| "<|im_start|>", | |
| "<|im_end|>", | |
| "<|function_list|>", | |
| "<|function_output|>", | |
| "<|function_call|>", | |
| "<tool_call>", | |
| "</tool_call>", | |
| "<think>", | |
| "</think>", | |
| "<|control_10|>", | |
| "<|control_11|>", | |
| "<|control_12|>", | |
| "<|control_13|>", | |
| "<|control_14|>", | |
| "<|control_15|>", | |
| "<|control_16|>", | |
| "<|control_17|>", | |
| "<|control_18|>", | |
| "<|control_19|>", | |
| "<|control_20|>", | |
| "<|control_21|>", | |
| "<|control_22|>", | |
| "<|control_23|>", | |
| "<|control_24|>", | |
| "<|control_25|>", | |
| "<|control_26|>", | |
| "<|control_27|>", | |
| "<|control_28|>", | |
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| "<|control_31|>", | |
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| "<|control_34|>", | |
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| "<|control_125|>", | |
| "<|control_126|>", | |
| "<|control_127|>", | |
| "<|control_128|>" | |
| ], | |
| "bos_token": { | |
| "content": "<s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "<|im_end|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "</s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "unk_token": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |