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

Occiglot 7B Eu5 Instruct AWQ by mayflowergmbh

 »  All LLMs  »  mayflowergmbh  »  Occiglot 7B Eu5 Instruct AWQ   URL Share it on

  4   
  4-bit   Autotrain compatible   Awq   Conversational   De   En   Endpoints compatible   Es   Fr   Instruct   It   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/mayflowergmbh/occiglot-7b-eu5-instruct-AWQ 

Occiglot 7B Eu5 Instruct AWQ Benchmarks

LLME Score: 0.14742
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 AWQ (mayflowergmbh/occiglot-7b-eu5-instruct-AWQ)
🌟 Advertise your project 🚀

Occiglot 7B Eu5 Instruct AWQ 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 AWQ
Repository 🤗https://huggingface.co/mayflowergmbh/occiglot-7b-eu5-instruct-AWQ 
Base Model(s)  Occiglot 7B Eu5 Instruct   occiglot/occiglot-7b-eu5-instruct
Model Size7b
Required VRAM4.2 GB
Updated2025-09-17
Maintainermayflowergmbh
Model Typemistral
Instruction-BasedYes
Model Files  4.2 GB
Supported Languagesen es de fr it
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typefloat16

Best Alternatives to Occiglot 7B Eu5 Instruct AWQ

Best Alternatives
Context / RAM
Downloads
Likes
Mistral 7B Instruct V0.2 AWQ32K / 4.2 GB60
Mistral 7B Instruct V0.3 AWQ32K / 4.2 GB35155
Mistral 7B Instruct V0.2 AWQ32K / 4.2 GB2798949
...reeze 7B 32K Instruct V1.0 AWQ32K / 4.7 GB90
Breeze 7B Instruct V1.0 AWQ32K / 4.6 GB50
Mistral 7B Instruct V0.3 AWQ32K / 4.2 GB60
...Instruct V0.2 AWQ 4bit Smashed32K / 4.2 GB61
Breeze 7B Instruct V1.0 AWQ32K / 4.6 GB51
Mistral 7B Instruct 32K AWQ32K / 4.2 GB41
Mistral 7B Instruct V0.3 AWQ32K / 4.2 GB71
Note: green Score (e.g. "73.2") means that the model is better than mayflowergmbh/occiglot-7b-eu5-instruct-AWQ.

Rank the Occiglot 7B Eu5 Instruct AWQ 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? 51415 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 v20241124
  Support LLM Explorer