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Merged Dual Explain Stage 1 Mhc Stream Expert Adaptive 7B V2 Data V2 by tkhangg0910

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Merged Dual Explain Stage 1 Mhc Stream Expert Adaptive 7B V2 Data V2 is an open-source language model by tkhangg0910. Features: 7b LLM, VRAM: 16GB, Context: 32K, Merged, LLM Explorer Score: 0.27.

  Merged Model   Pytorch   Region:us   Sharded   Tracllava2d
Model Card on HF 🤗: https://huggingface.co/tkhangg0910/Merged-Dual-Explain-stage_1-mhc-stream_expert_adaptive-7b_v2-data_v2 

Merged Dual Explain Stage 1 Mhc Stream Expert Adaptive 7b V2 Data V2 Benchmarks

LLME Score: 0.26947
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Merged Dual Explain Stage 1 Mhc Stream Expert Adaptive 7B V2 Data V2 (tkhangg0910/Merged-Dual-Explain-stage_1-mhc-stream_expert_adaptive-7b_v2-data_v2)
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Merged Dual Explain Stage 1 Mhc Stream Expert Adaptive 7B V2 Data V2 Parameters and Internals

LLM NameMerged Dual Explain Stage 1 Mhc Stream Expert Adaptive 7b V2 Data V2
Repository 🤗https://huggingface.co/tkhangg0910/Merged-Dual-Explain-stage_1-mhc-stream_expert_adaptive-7b_v2-data_v2 
Merged ModelYes
Model Size7b
Required VRAM16 GB
Updated2026-06-21
Maintainertkhangg0910
Model TypeTracLlava2D
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   1.0 GB: 4-of-4
Model ArchitectureTracLLava2DForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.57.6
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32002

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Text Summarization and Feature Extraction  
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