LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Bielik 7B Instruct V0.1 by speakleash

 »  All LLMs  »  speakleash  »  Bielik 7B Instruct V0.1   URL Share it on

  5063   
  Arxiv:2005.01643   Arxiv:2006.09092   Arxiv:2309.11235   Arxiv:2410.18565   Autotrain compatible   Conversational   Endpoints compatible   Finetuned   Instruct   Mistral   Pl   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/speakleash/Bielik-7B-Instruct-v0.1 

Bielik 7B Instruct V0.1 Benchmarks

ARC: 47.35 vs 96.7 (so35)-51%
HellaSwag: 68.81 vs 95.3 (gpt4)-27.8%
MMLU: 49.29 vs 88.3 (so35)-44.2%
TruthfulQA: 46.14 vs 59 (gpt4)-21.8%
WinoGrande: 65.59 vs 87.5 (gpt4)-25%
GSM8K: 30.25 vs 96.4 (so35)-68.6%
LLME Score: 0.26978
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bielik 7B Instruct V0.1 (speakleash/Bielik-7B-Instruct-v0.1)

Bielik 7B Instruct V0.1 Parameters and Internals

Model Type 
causal decoder-only
Additional Notes 
No moderation mechanisms; potential for lewd, false, biased outputs
Supported Languages 
Polish (fluent)
Training Details 
Data Sources:
OpenHermes-2.5, orca-math-word-problems-200k
Methodology:
Instruction fine-tuning
Context Length:
4096
Hardware Used:
Athena supercomputer, Helios supercomputer
Model Architecture:
Architecture similar to LLaMA and Mistral
Input Output 
Input Format:
[INST] and [/INST] tokens
Accepted Modalities:
text
LLM NameBielik 7B Instruct V0.1
Repository 🤗https://huggingface.co/speakleash/Bielik-7B-Instruct-v0.1 
Model Size7b
Required VRAM14.4 GB
Updated2024-12-22
Maintainerspeakleash
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagespl
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

Best Alternatives to Bielik 7B Instruct V0.1

Best Alternatives
Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB26689
SpydazWeb AI HumanAI RP512K / 14.4 GB261
SpydazWeb AI HumanAI 002512K / 14.4 GB191
...daz Web AI ChatML 512K Project512K / 14.5 GB120
... Summarize 64K QLoRANET Merged128K / 4.1 GB70
...1 Summarize 64K LoRANET Merged128K / 14.4 GB80
Mistral 7B Instruct V0.232K / 14.4 GB32868912598
Mistral 7B Instruct V0.132K / 14.4 GB31398011538
...ity Instruct 7M Gen Mistral 7B32K / 14.4 GB54064
...ty Instruct 3M 0625 Mistral 7B32K / 14.4 GB54203
Note: green Score (e.g. "73.2") means that the model is better than speakleash/Bielik-7B-Instruct-v0.1.

Rank the Bielik 7B Instruct V0.1 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

What open-source LLMs or SLMs are you in search of? 40066 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
  Support LLM Explorer