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Black Stheno 8B V1 by banelingz

 »  All LLMs  »  banelingz  »  Black Stheno 8B V1   URL Share it on

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  Autotrain compatible Base model:hastagaras/halu-8b-... Base model:merge:hastagaras/ha... Base model:merge:sao10k/l3-8b-... Base model:sao10k/l3-8b-stheno...   Conversational   Endpoints compatible   Llama   Merge   Mergekit   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/banelingz/black_stheno_8B_v1 

Black Stheno 8B V1 Benchmarks

LLME Score: 0.16424
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Black Stheno 8B V1 (banelingz/black_stheno_8B_v1)
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Black Stheno 8B V1 Parameters and Internals

Model Type 
pre-trained language model
Additional Notes 
This model is a merge of existing models using the mergekit. Merge Details: - Merge Method: SLERP - Models Merged: [Sao10K/L3-8B-Stheno-v3.2](https://huggingface.co/Sao10K/L3-8B-Stheno-v3.2), [Hastagaras/Halu-8B-Llama3-Blackroot](https://huggingface.co/Hastagaras/Halu-8B-Llama3-Blackroot)
LLM NameBlack Stheno 8B V1
Repository 🤗https://huggingface.co/banelingz/black_stheno_8B_v1 
Base Model(s)  Sao10K/L3-8B-Stheno-v3.2   Halu 8B Llama3 Blackroot   Sao10K/L3-8B-Stheno-v3.2   Hastagaras/Halu-8B-Llama3-Blackroot
Model Size8b
Required VRAM16.1 GB
Updated2025-09-08
Maintainerbanelingz
Model Typellama
Model Files  1.1 GB: 1-of-17   1.1 GB: 2-of-17   1.0 GB: 3-of-17   1.0 GB: 4-of-17   1.0 GB: 5-of-17   0.9 GB: 6-of-17   1.0 GB: 7-of-17   1.0 GB: 8-of-17   1.0 GB: 9-of-17   0.9 GB: 10-of-17   1.0 GB: 11-of-17   1.0 GB: 12-of-17   1.0 GB: 13-of-17   0.9 GB: 14-of-17   1.0 GB: 15-of-17   1.0 GB: 16-of-17   0.2 GB: 17-of-17
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than banelingz/black_stheno_8B_v1.

Rank the Black Stheno 8B V1 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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