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NeonLLM Base by neongeckocom

 »  All LLMs  »  neongeckocom  »  NeonLLM Base   URL Share it on

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  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-7...   Chatml   Conversational   Dataset:teknium/openhermes-2.5   Distillation   Dpo   En   Endpoints compatible   Finetuned   Function calling   Gpt4   Instruct   Json mode   Mistral   Region:us   Rlhf   Safetensors   Sharded   Synthetic data   Tensorflow
Model Card on HF 🤗: https://huggingface.co/neongeckocom/NeonLLM-Base 

NeonLLM Base Benchmarks

LLME Score: 0.20143
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NeonLLM Base (neongeckocom/NeonLLM-Base)

NeonLLM Base Parameters and Internals

Model Type 
instruct, finetune, chatml, DPO, RLHF, gpt4, synthetic data, distillation, function calling, json mode
Additional Notes 
Utilizes ChatML format for structured dialogue and API endpoint compatibility.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
teknium/OpenHermes-2.5
Methodology:
retrained version of Nous Hermes 2, with function calling and JSON mode dataset
Model Architecture:
upgraded and retrained using OpenHermes 2.5 Dataset with function calling and JSON mode
Input Output 
Performance Tips:
Use ChatML format for prompt, allows system prompts for multi-turn dialogue and function calling.
LLM NameNeonLLM Base
Repository 🤗https://huggingface.co/neongeckocom/NeonLLM-Base 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM14.5 GB
Updated2025-02-22
Maintainerneongeckocom
Model Typemistral
Model Files  4.0 GB: 1-of-4   3.9 GB: 2-of-4   3.9 GB: 3-of-4   2.7 GB: 4-of-4
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32032
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than neongeckocom/NeonLLM-Base.

Rank the NeonLLM Base Capabilities

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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 v20241227
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