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DMHC STEP1 by TareksLab

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DMHC STEP1 is an open-source language model by TareksLab. Features: 70.6b LLM, VRAM: 141.9GB, Context: 128K, Instruction-Based, Merged, LLM Explorer Score: 0.17.

  Merged Model   Autotrain compatible   Base model:tarekslab/dmhc-a1 Base model:tarekslab/dmhc-base...   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TareksLab/DMHC-STEP1 

DMHC STEP1 Benchmarks

LLME Score: 0.17407
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DMHC STEP1 (TareksLab/DMHC-STEP1)
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DMHC STEP1 Parameters and Internals

LLM NameDMHC STEP1
Repository 🤗https://huggingface.co/TareksLab/DMHC-STEP1 
Base Model(s)  DMHC BASE INSTRUCT   DMHC A1   TareksLab/DMHC-BASE-INSTRUCT   TareksLab/DMHC-A1
Merged ModelYes
Model Size70.6b
Required VRAM141.9 GB
Updated2025-03-13
MaintainerTareksLab
Model Typellama
Instruction-BasedYes
Model Files  4.7 GB: 1-of-30   4.7 GB: 2-of-30   5.0 GB: 3-of-30   5.0 GB: 4-of-30   4.7 GB: 5-of-30   4.7 GB: 6-of-30   4.7 GB: 7-of-30   5.0 GB: 8-of-30   5.0 GB: 9-of-30   4.7 GB: 10-of-30   4.7 GB: 11-of-30   4.7 GB: 12-of-30   5.0 GB: 13-of-30   5.0 GB: 14-of-30   4.7 GB: 15-of-30   4.7 GB: 16-of-30   4.7 GB: 17-of-30   5.0 GB: 18-of-30   5.0 GB: 19-of-30   4.7 GB: 20-of-30   4.7 GB: 21-of-30   4.7 GB: 22-of-30   5.0 GB: 23-of-30   5.0 GB: 24-of-30   4.7 GB: 25-of-30   4.7 GB: 26-of-30   4.7 GB: 27-of-30   5.0 GB: 28-of-30   5.0 GB: 29-of-30   2.0 GB: 30-of-30
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.49.0
Tokenizer ClassPreTrainedTokenizer
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128259
Torch Data Typebfloat16

Best Alternatives to DMHC STEP1

Best Alternatives
Context / RAM
Downloads
Likes
DMHC STEP1128K / 141.9 GB70
Note: green Score (e.g. "73.2") means that the model is better than TareksLab/DMHC-STEP1.

Rank the DMHC STEP1 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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