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SpydazWeb AI CyberTron Ultra 7B by LeroyDyer

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SpydazWeb AI CyberTron Ultra 7B is an open-source language model by LeroyDyer. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.17.

Base model:finetune:leroydyer/... Base model:leroydyer/spydazweb...   Code   Conversational   Cyber-series Dataset:cognitivecomputations/... Dataset:databricks/databricks-... Dataset:gretelai/synthetic tex... Dataset:huggingfacetb/cosmoped... Dataset:ise-uiuc/magicoder-evo...   Dataset:meta-math/metamathqa Dataset:mwitiderrick/swahilipl...   Dataset:open-orca/openorca   Dataset:open-orca/slimorca Dataset:rogendo/english-swahil...   Dataset:swahili   Dataset:teknium/openhermes-2.5   Dataset:uonlp/culturax   Dataset:yahma/alpaca-cleaned   Doctor   En   Endpoints compatible   Farmer   Instruct   Medical   Mega-series   Milestone   Mistral   Model-index   Region:us   Role-play   Safetensors   Self-rag   Sharded   Spydazwebai   Tensorflow   Thinkingbot   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b 

SpydazWeb AI CyberTron Ultra 7b Benchmarks

MMLU Pro: 20.73
GPQA: 5.7
MUSR: 10.3
BBH: 27.75
IFEval: 15.56 vs 88 (so35)-82.3%
MATH Lvl 5: 1.36
LLME Score: 0.16579
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SpydazWeb AI CyberTron Ultra 7B (LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b)
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SpydazWeb AI CyberTron Ultra 7B Parameters and Internals

Model Type 
text-generation-inference, fine-tuned
Use Cases 
Areas:
medical, farmer, doctor, Mega-Series, Cyber-Series, Role-Play, Self-Rag, ThinkingBot
Additional Notes 
The model is highly tuned for text generation, role-play, and can maintain personas. It is designed for strategic merging and tuning to maintain different capabilities separately.
Supported Languages 
en (Proficient)
Training Details 
Data Sources:
gretelai/synthetic_text_to_sql, HuggingFaceTB/cosmopedia, teknium/OpenHermes-2.5, Open-Orca/SlimOrca, Open-Orca/OpenOrca, cognitivecomputations/dolphin-coder, databricks/databricks-dolly-15k, yahma/alpaca-cleaned, uonlp/CulturaX, mwitiderrick/SwahiliPlatypus, Rogendo/English-Swahili-Sentence-Pairs, ise-uiuc/Magicoder-Evol-Instruct-110K, meta-math/MetaMathQA
Methodology:
fine-tuning, unsloth
Context Length:
32000
Input Output 
Accepted Modalities:
text
LLM NameSpydazWeb AI CyberTron Ultra 7b
Repository 🤗https://huggingface.co/LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b 
Base Model(s)  Mixtral AI CyberTron Ultra   LeroyDyer/Mixtral_AI_CyberTron_Ultra
Model Size7b
Required VRAM14.4 GB
Updated2026-04-25
MaintainerLeroyDyer
Model Typemistral
Instruction-BasedYes
Model Files  1.9 GB: 1-of-8   1.9 GB: 2-of-8   2.0 GB: 3-of-8   1.9 GB: 4-of-8   2.0 GB: 5-of-8   1.9 GB: 6-of-8   2.0 GB: 7-of-8   0.8 GB: 8-of-8
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

Best Alternatives to SpydazWeb AI CyberTron Ultra 7B

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Context / RAM
Downloads
Likes
...Nemo Instruct 2407 Abliterated1000K / 24.5 GB25420
SpydazWeb AI HumanAI RP512K / 14.4 GB141
SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
... Summarize 64K QLoRANET Merged128K / 4.1 GB60
...1 Summarize 64K LoRANET Merged128K / 14.4 GB60
Mistral 7B Instruct V0.232K / 14.4 GB33160952630
Mistral 7B Instruct V0.132K / 14.4 GB4093011832
Mistral 7B Instruct V0.232K / 14.4 GB57590
Mixtral AI CyberCoder32K / 14.3 GB00
Note: green Score (e.g. "73.2") means that the model is better than LeroyDyer/SpydazWeb_AI_CyberTron_Ultra_7b.

Rank the SpydazWeb AI CyberTron Ultra 7B 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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