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Gecko 7B V0.1 by NeuralNovel

 »  All LLMs  »  NeuralNovel  »  Gecko 7B V0.1   URL Share it on

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  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Conversational   Instruct   Mistral   Model-index   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/NeuralNovel/Gecko-7B-v0.1 

Gecko 7B V0.1 Benchmarks

ARC: 61.35 vs 96.7 (so35)-36.6%
HellaSwag: 83.36 vs 95.3 (gpt4)-12.5%
MMLU: 61.05 vs 88.3 (so35)-30.9%
TruthfulQA: 62.6 vs 59 (gpt4)6.1%
WinoGrande: 77.58 vs 87.5 (gpt4)-11.3%
GSM8K: 41.55 vs 96.4 (so35)-56.9%
LLME Score: 0.16178
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Gecko 7B V0.1 (NeuralNovel/Gecko-7B-v0.1)
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Gecko 7B V0.1 Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research, commercial applications
Primary Use Cases:
instructive and narrative text generation, mathematics & numeracy, roleplay, problem solving
Limitations:
The model may not perform well in scenarios unrelated to instructive and narrative text generation
Considerations:
Use the model with caution and respect
Additional Notes 
Fine-tuned to follow prompt directions, making it more suitable for specific applications.
Training Details 
Data Sources:
Neural-Mini-Math dataset (Currently Private)
Methodology:
Fine-tuned with the intention of following all prompt directions
Responsible Ai Considerations 
Accountability:
The user is responsible for their output
LLM NameGecko 7B V0.1
Repository 🤗https://huggingface.co/NeuralNovel/Gecko-7B-v0.1 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.2   mistralai/Mistral-7B-Instruct-v0.2
Model Size7b
Required VRAM10.2 GB
Updated2025-08-22
MaintainerNeuralNovel
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3   4.8 GB: 1-of-4   5.0 GB: 2-of-4   0.4 GB: 3-of-4
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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AQUA 7B32K / 14.5 GB5379
Note: green Score (e.g. "73.2") means that the model is better than NeuralNovel/Gecko-7B-v0.1.

Rank the Gecko 7B 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  

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Release v20241124
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