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DM2 BASE by TareksLab

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  Merged Model   Autotrain compatible   Base model:tarekslab/dm1-b   Base model:tarekslab/dm1-base   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TareksLab/DM2-BASE 

DM2 BASE Benchmarks

LLME Score: 0.24117
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DM2 BASE (TareksLab/DM2-BASE)

DM2 BASE Parameters and Internals

LLM NameDM2 BASE
Repository 🤗https://huggingface.co/TareksLab/DM2-BASE 
Base Model(s)  DM1 B   DM1 BASE   TareksLab/DM1-B   TareksLab/DM1-BASE
Merged ModelYes
Model Size70.6b
Required VRAM141.9 GB
Updated2025-04-08
MaintainerTareksLab
Model Typellama
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 Size128256
Torch Data Typebfloat16

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KR STEP1128K / 141.9 GB300
L2 STEP2128K / 141.9 GB200
L2 STEP3a128K / 141.9 GB180
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M NS STEP1128K / 141.9 GB210
M NS STEP2128K / 141.9 GB140
M NS STEP3128K / 141.9 GB130
Note: green Score (e.g. "73.2") means that the model is better than TareksLab/DM2-BASE.

Rank the DM2 BASE Capabilities

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Release v20241227
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