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NJS 777 by NJS26

 »  All LLMs  »  NJS26  »  NJS 777   URL Share it on

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  Merged Model   Autotrain compatible Base model:sthenno-com/miscii-... Base model:tanliboy/lambda-qwe...   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/NJS26/NJS_777 

NJS 777 Benchmarks

MMLU Pro: 1.81
MUSR: 3.22
BBH: 3.16
IFEval: 18.81 vs 88 (so35)-78.6%
LLME Score: 0.23638
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NJS 777 (NJS26/NJS_777)
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NJS 777 Parameters and Internals

LLM NameNJS 777
Repository 🤗https://huggingface.co/NJS26/NJS_777 
Base Model(s)  Miscii 14B 0218   tanliboy/lambda-qwen2.5-14b-dpo-test   sthenno-com/miscii-14b-0218   tanliboy/lambda-qwen2.5-14b-dpo-test
Merged ModelYes
Model Size14b
Required VRAM20.9 GB
Updated2025-07-02
MaintainerNJS26
Model Typeqwen2
Model Files  4.9 GB: 1-of-5   5.0 GB: 2-of-5   5.0 GB: 3-of-5   5.0 GB: 4-of-5   1.0 GB: 5-of-5
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to NJS 777

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Context / RAM
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Likes
Qwen2.5 14B Instruct 1M986K / 29.6 GB24702313
T3Q Qwen2.5 14B V1.0 E3986K / 29.7 GB85228
ZYH LLM Qwen2.5 14B V4986K / 29.7 GB17798
ZYH LLM Qwen2.5 14B V3986K / 29.7 GB12338
Qwen2.5 14B 1M YOYO V3986K / 29.7 GB2544
Qwen2.5 14B YOYO V4986K / 29.7 GB355
Qwen2.5 14B YOYO Latest V2986K / 29.7 GB1290
Impish QWEN 14B 1M986K / 29.7 GB15516
...14B Instruct 1M GRPO Reasoning986K / 29.7 GB344
Etr1o V1.2986K / 29.7 GB110
Note: green Score (e.g. "73.2") means that the model is better than NJS26/NJS_777.

Rank the NJS 777 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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