Cheng 2 Ingredient4 by marcuscedricridia

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Cheng 2 Ingredient4 is an open-source language model by marcuscedricridia. Features: 14.8b LLM, VRAM: 29.7GB, Context: 986K, Merged, LLM Explorer Score: 0.18.

  Merged Model   Arxiv:2406.11617 Base model:cran-may/tempmotaci... Base model:marcuscedricridia/c...   Conversational   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Cheng 2 Ingredient4 Benchmarks

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

Cheng 2 Ingredient4 Parameters and Internals

LLM NameCheng 2 Ingredient4
Repository 🤗https://huggingface.co/marcuscedricridia/Cheng-2-Ingredient4 
Base Model(s)  Cheng 2 Base   Tempmotacilla Cinerea 0308   marcuscedricridia/Cheng-2-Base   Cran-May/tempmotacilla-cinerea-0308
Merged ModelYes
Model Size14.8b
Required VRAM29.7 GB
Updated2026-04-22
Maintainermarcuscedricridia
Model Typeqwen2
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.8 GB: 6-of-6
Model ArchitectureQwen2ForCausalLM
Context Length1010000
Model Max Length1010000
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace

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Viper Coder V1.7 Vsm6986K / 29.7 GB246
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Temp Model For 2 Mini 006986K / 29.7 GB80
Tempmotacilla Cinerea 0308128K / 29.7 GB72
...irtuoso Small V2 Tensopolis V1128K / 29.7 GB131
Tempesthenno Kto 0205 Ckpt80128K / 29.6 GB403
Merge Model 20250308 2128K / 29.7 GB110
Viper Coder Hybrid V1.3128K / 29.7 GB139
Miisce One128K / 29.7 GB212
Virtuoso Small Tensopolis V2128K / 29.7 GB102
Note: green Score (e.g. "73.2") means that the model is better than marcuscedricridia/Cheng-2-Ingredient4.

Rank the Cheng 2 Ingredient4 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 v20260328a