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Occiglot 7B Eu5 Instruct by occiglot

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Model Card on HF 🤗: https://huggingface.co/occiglot/occiglot-7b-eu5-instruct 

Occiglot 7B Eu5 Instruct Benchmarks

LLME Score: 0.14634
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Occiglot 7B Eu5 Instruct (occiglot/occiglot-7b-eu5-instruct)
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Occiglot 7B Eu5 Instruct Parameters and Internals

Model Type 
text generation, multilingual
Additional Notes 
The model was not safety aligned and might generate problematic outputs. Part of an open research project.
Supported Languages 
English (Supported), Spanish (Supported), French (Supported), German (Supported), Italian (Supported)
Training Details 
Data Sources:
Open-Hermes-2B, DiscoLM German Dataset, OASST-2, Aya-Dataset, Mentor-ES, Squad-es, Bactrian-X, AI-Society Translated, GT-Dorimiti, Quora-IT-Baize, Stackoverflow-IT-Vaize, Camoscio
Data Volume:
400M tokens
Methodology:
Full instruction fine-tuning
Context Length:
8192
Hardware Used:
8xH100
Model Architecture:
Causal decoder-only transformer language model
Input Output 
Accepted Modalities:
text
Output Format:
text
Release Notes 
Version:
1.0
Notes:
First release. Instruction fine-tuned version of Occiglot-7B-EU5.
LLM NameOcciglot 7B Eu5 Instruct
Repository 🤗https://huggingface.co/occiglot/occiglot-7b-eu5-instruct 
Model Size7b
Required VRAM14.4 GB
Updated2025-09-17
Maintainerocciglot
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 Languagesen es de fr it
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typebfloat16

Quantized Models of the Occiglot 7B Eu5 Instruct

Model
Likes
Downloads
VRAM
Occiglot 7B Eu5 Instruct AWQ144 GB

Best Alternatives to Occiglot 7B Eu5 Instruct

Best Alternatives
Context / RAM
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Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB6218
SpydazWeb AI HumanAI RP512K / 14.4 GB151
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...daz Web AI ChatML 512K Project512K / 14.5 GB120
... Summarize 64K QLoRANET Merged128K / 4.1 GB60
...1 Summarize 64K LoRANET Merged128K / 14.4 GB80
Mistral 7B Instruct V0.232K / 14.4 GB33160952630
Mistral 7B Instruct V0.132K / 14.4 GB1538101797
Seed X Instruct 7B32K / 15 GB1867123
Mixtral AI CyberCoder32K / 14.3 GB00
Note: green Score (e.g. "73.2") means that the model is better than occiglot/occiglot-7b-eu5-instruct.

Rank the Occiglot 7B Eu5 Instruct 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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