FILM 7B by In2Training

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  Arxiv:2404.16811   Autotrain compatible   Conversational   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF ๐Ÿค—: https://huggingface.co/In2Training/FILM-7B 

FILM 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
FILM 7B (In2Training/FILM-7B)

FILM 7B Parameters and Internals

Model Type 
32K-context LLM
Supported Languages 
en (fluent)
Training Details 
Methodology:
Information-Intensie (In2) Training
Context Length:
32000
LLM NameFILM 7B
Repository ๐Ÿค—https://huggingface.co/In2Training/FILM-7B 
Model Size7b
Required VRAM28.9 GB
Updated2025-02-22
MaintainerIn2Training
Model Typemistral
Model Files  5.0 GB: 1-of-6   4.9 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   4.8 GB: 5-of-6   4.2 GB: 6-of-6
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than In2Training/FILM-7B.

Rank the FILM 7B Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227