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Falcon 7B GPTQ by openerotica

 »  All LLMs  »  openerotica  »  Falcon 7B GPTQ   URL Share it on

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  Arxiv:1911.02150   Arxiv:2005.14165   Arxiv:2101.00027   Arxiv:2104.09864   Arxiv:2205.14135   Arxiv:2306.01116   4bit   Autotrain compatible   Custom code Dataset:tiiuae/falcon-refinedw...   En   Gptq   Pytorch   Quantized   Refinedwebmodel   Region:us
Model Card on HF 🤗: https://huggingface.co/openerotica/falcon-7b-GPTQ 

Falcon 7B GPTQ Benchmarks

LLME Score: 0.10036
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Falcon 7B GPTQ (openerotica/falcon-7b-GPTQ)
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Falcon 7B GPTQ Parameters and Internals

Model Type 
Causal decoder-only
Use Cases 
Areas:
Research, Commercial applications
Primary Use Cases:
Summarization, Text generation, Chatbot
Limitations:
Trained only on English and French
Considerations:
Finetuning is recommended for specific use cases; appropriate precautions should be taken for production use.
Supported Languages 
English (N/A), French (N/A)
Training Details 
Data Sources:
RefinedWeb-English, Books, Conversations, Code, RefinedWeb-French, Technical
Data Volume:
1,500B tokens
Methodology:
2D parallelism strategy (PP=2, DP=192) combined with ZeRO
Context Length:
2048
Training Time:
about two weeks
Hardware Used:
384 A100 40GB GPUs
Model Architecture:
Causal decoder-only with rotary positional embeddings, multiquery and FlashAttention
Input Output 
Performance Tips:
Using Transformers with PyTorch 2.0 is recommended for fast inference.
LLM NameFalcon 7B GPTQ
Repository 🤗https://huggingface.co/openerotica/falcon-7b-GPTQ 
Model Size7b
Required VRAM4.5 GB
Updated2025-10-14
Maintaineropenerotica
Model TypeRefinedWebModel
Model Files  4.5 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureRWForCausalLM
Licenseapache-2.0
Model Max Length2048
Transformers Version4.27.4
Is Biased0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size65024
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than openerotica/falcon-7b-GPTQ.

Rank the Falcon 7B GPTQ 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  

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Release v20241124
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