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Bielik 11B V2.2 Instruct FP8 by speakleash

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Model Card on HF 🤗: https://huggingface.co/speakleash/Bielik-11B-v2.2-Instruct-FP8 

Bielik 11B V2.2 Instruct FP8 Benchmarks

LLME Score: 0.2474
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bielik 11B V2.2 Instruct FP8 (speakleash/Bielik-11B-v2.2-Instruct-FP8)

Bielik 11B V2.2 Instruct FP8 Parameters and Internals

Model Type 
causal decoder-only
Additional Notes 
Model uses FP8 computation supported on Nvidia GPUs.
Supported Languages 
Polish (native)
Input Output 
Performance Tips:
Quantised models show reduced response quality and possible hallucinations.
LLM NameBielik 11B V2.2 Instruct FP8
Repository 🤗https://huggingface.co/speakleash/Bielik-11B-v2.2-Instruct-FP8 
Base Model(s)  speakleash/Bielik-11B-v2.2-Instruct   speakleash/Bielik-11B-v2.2-Instruct
Model Size11b
Required VRAM11.4 GB
Updated2024-12-22
Maintainerspeakleash
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   1.5 GB: 3-of-3
Supported Languagespl
Quantization Type8bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32128
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than speakleash/Bielik-11B-v2.2-Instruct-FP8.

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Release v20241217
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