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Model: speakleash/Bielik-11B-v2.2-Instruct-FP8 Source: Original Platform
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---
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language:
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- pl
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license: apache-2.0
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library_name: transformers
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tags:
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- finetuned
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- gguf
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- 8bit
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inference: false
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pipeline_tag: text-generation
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base_model: speakleash/Bielik-11B-v2.2-Instruct
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---
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<p align="center">
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<img src="https://huggingface.co/speakleash/Bielik-7B-Instruct-v0.1-GGUF/raw/main/speakleash_cyfronet.png">
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</p>
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# Bielik-11B-v2.2-Instruct-FP8
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This model was obtained by quantizing the weights and activations of [Bielik-11B-v.2.2-Instruct](https://huggingface.co/speakleash/Bielik-11B-v2.2-Instruct) to FP8 data type, ready for inference with vLLM >= 0.5.0 or SGLang.
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AutoFP8 is used for quantization. This optimization reduces the number of bits per parameter from 16 to 8, reducing the disk size and GPU memory requirements by approximately 50%.
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Only the weights and activations of the linear operators within transformers blocks are quantized. Symmetric per-tensor quantization is applied, in which a single linear scaling maps the FP8 representations of the quantized weights and activations.
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FP8 compuation is supported on Nvidia GPUs with compute capability > 8.9 (Ada Lovelace, Hopper).
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**DISCLAIMER: Be aware that quantised models show reduced response quality and possible hallucinations!**
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## Use with vLLM
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This model can be deployed efficiently using the [vLLM](https://docs.vllm.ai/en/latest/) backend, as shown in the example below.
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```python
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from vllm import LLM, SamplingParams
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from transformers import AutoTokenizer
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model_id = "speakleash/Bielik-11B-v2.2-Instruct-FP8"
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sampling_params = SamplingParams(temperature=0.2, top_p=0.95, max_tokens=4096)
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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messages = [
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{"role": "system", "content": "Jesteś pomocnym asystentem Bielik."},
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{"role": "user", "content": "Kim był Mikołaj Kopernik i z czego zasłynął?"},
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]
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prompts = tokenizer.apply_chat_template(messages, tokenize=False)
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llm = LLM(model=model_id, max_model_len=4096)
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outputs = llm.generate(prompts, sampling_params)
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generated_text = outputs[0].outputs[0].text
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print(generated_text)
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```
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vLLM aslo supports OpenAI-compatible serving. See the [documentation](https://docs.vllm.ai/en/latest/) for more details.
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## Use with SGLang Runtime
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Launch a server of SGLang Runtime:
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```
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python -m sglang.launch_server --model-path speakleash/Bielik-11B-v2.2-Instruct-FP8 --port 30000
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```
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Then you can send http request or use OpenAI Compatible API.
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```python
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import openai
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client = openai.Client(
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base_url="http://127.0.0.1:30000/v1", api_key="EMPTY")
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response = client.chat.completions.create(
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model="default",
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messages=[
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{"role": "system", "content": "Jesteś pomocnym asystentem Bielik."},
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{"role": "user", "content": "Kim był Mikołaj Kopernik i z czego zasłynął?"},
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],
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temperature=0,
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max_tokens=4096,
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)
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print(response)
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```
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### Model description:
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* **Developed by:** [SpeakLeash](https://speakleash.org/) & [ACK Cyfronet AGH](https://www.cyfronet.pl/)
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* **Language:** Polish
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* **Model type:** causal decoder-only
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* **Quant from:** [Bielik-11B-v2.2-Instruct](https://huggingface.co/speakleash/Bielik-11B-v2.2-Instruct)
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* **Finetuned from:** [Bielik-11B-v2](https://huggingface.co/speakleash/Bielik-11B-v2)
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* **License:** Apache 2.0 and [Terms of Use](https://bielik.ai/terms/)
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### Responsible for model quantization
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* [Remigiusz Kinas](https://www.linkedin.com/in/remigiusz-kinas/)<sup>SpeakLeash</sup> - team leadership, conceptualizing, calibration data preparation, process creation and quantized model delivery.
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## Contact Us
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If you have any questions or suggestions, please use the discussion tab. If you want to contact us directly, join our [Discord SpeakLeash](https://discord.gg/CPBxPce4).
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|
||||
"<|control_66|>",
|
||||
"<|control_67|>",
|
||||
"<|control_68|>",
|
||||
"<|control_69|>",
|
||||
"<|control_70|>",
|
||||
"<|control_71|>",
|
||||
"<|control_72|>",
|
||||
"<|control_73|>",
|
||||
"<|control_74|>",
|
||||
"<|control_75|>",
|
||||
"<|control_76|>",
|
||||
"<|control_77|>",
|
||||
"<|control_78|>",
|
||||
"<|control_79|>",
|
||||
"<|control_80|>",
|
||||
"<|control_81|>",
|
||||
"<|control_82|>",
|
||||
"<|control_83|>",
|
||||
"<|control_84|>",
|
||||
"<|control_85|>",
|
||||
"<|control_86|>",
|
||||
"<|control_87|>",
|
||||
"<|control_88|>",
|
||||
"<|control_89|>",
|
||||
"<|control_90|>",
|
||||
"<|control_91|>",
|
||||
"<|control_92|>",
|
||||
"<|control_93|>",
|
||||
"<|control_94|>",
|
||||
"<|control_95|>",
|
||||
"<|control_96|>",
|
||||
"<|control_97|>",
|
||||
"<|control_98|>",
|
||||
"<|control_99|>",
|
||||
"<|control_100|>",
|
||||
"<|control_101|>",
|
||||
"<|control_102|>",
|
||||
"<|control_103|>",
|
||||
"<|control_104|>",
|
||||
"<|control_105|>",
|
||||
"<|control_106|>",
|
||||
"<|control_107|>",
|
||||
"<|control_108|>",
|
||||
"<|control_109|>",
|
||||
"<|control_110|>",
|
||||
"<|control_111|>",
|
||||
"<|control_112|>",
|
||||
"<|control_113|>",
|
||||
"<|control_114|>",
|
||||
"<|control_115|>",
|
||||
"<|control_116|>",
|
||||
"<|control_117|>",
|
||||
"<|control_118|>",
|
||||
"<|control_119|>",
|
||||
"<|control_120|>",
|
||||
"<|control_121|>",
|
||||
"<|control_122|>",
|
||||
"<|control_123|>",
|
||||
"<|control_124|>",
|
||||
"<|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
|
||||
}
|
||||
}
|
||||
92247
tokenizer.json
Normal file
92247
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
Binary file not shown.
1197
tokenizer_config.json
Normal file
1197
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user