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ECE TW3 JRGL V3 by paloalma

 »  All LLMs  »  paloalma  »  ECE TW3 JRGL V3   URL Share it on

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  Merged Model   Abacusai/smaug-72b-v0.1   Autotrain compatible   Endpoints compatible   Llama   Migtissera/tess-72b-v1.5b   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/paloalma/ECE-TW3-JRGL-V3 

ECE TW3 JRGL V3 Benchmarks

LLME Score: 0.15535
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ECE TW3 JRGL V3 (paloalma/ECE-TW3-JRGL-V3)
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ECE TW3 JRGL V3 Parameters and Internals

Model Type 
merge, mergekit, lazymergekit
LLM NameECE TW3 JRGL V3
Repository 🤗https://huggingface.co/paloalma/ECE-TW3-JRGL-V3 
Merged ModelYes
Model Size72b
Required VRAM77.8 GB
Updated2025-07-19
Maintainerpaloalma
Model Typellama
Model Files  1.9 GB: 1-of-82   0.4 GB: 2-of-82   2.5 GB: 3-of-82   1.9 GB: 4-of-82   1.9 GB: 5-of-82   1.6 GB: 6-of-82   1.7 GB: 7-of-82   1.7 GB: 8-of-82   1.9 GB: 9-of-82   1.9 GB: 10-of-82   1.9 GB: 11-of-82   1.6 GB: 12-of-82   1.7 GB: 13-of-82   1.9 GB: 14-of-82   1.9 GB: 15-of-82   1.9 GB: 16-of-82   1.6 GB: 17-of-82   1.7 GB: 18-of-82   1.7 GB: 19-of-82   1.6 GB: 20-of-82   1.7 GB: 21-of-82   1.7 GB: 22-of-82   1.9 GB: 23-of-82   1.9 GB: 24-of-82   1.7 GB: 25-of-82   1.7 GB: 26-of-82   1.7 GB: 27-of-82   1.9 GB: 28-of-82   1.7 GB: 29-of-82   1.7 GB: 30-of-82   1.9 GB: 31-of-82   1.7 GB: 32-of-82   1.7 GB: 33-of-82   1.9 GB: 34-of-82   1.9 GB: 35-of-82   1.6 GB: 36-of-82   1.7 GB: 37-of-82   1.7 GB: 38-of-82   1.9 GB: 39-of-82   1.9 GB: 40-of-82   1.9 GB: 41-of-82   1.9 GB: 42-of-82   1.7 GB: 43-of-82   1.9 GB: 44-of-82
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Vocabulary Size152064
Torch Data Typebfloat16

Best Alternatives to ECE TW3 JRGL V3

Best Alternatives
Context / RAM
Downloads
Likes
2 Pro Math128K / 141.9 GB50
TW3 JRGL V232K / 79.7 GB178670
Smaug 72B V0.132K / 144.5 GB9057469
Le Triomphant ECE TW332K / 79.7 GB178444
ECE TW3 JRGL V532K / 159.6 GB98561
MoMo 72B Lora 1.8.7 DPO32K / 208.5 GB185968
Rhea 72B V0.532K / 144.5 GB9856136
JuliusCesar 72B BeyonderV.032K / 74.2 GB80
Caigun Model 72B KGI32K / 144.6 GB80
MoMo 72B LoRA V1.432K / 208.5 GB91687
Note: green Score (e.g. "73.2") means that the model is better than paloalma/ECE-TW3-JRGL-V3.

Rank the ECE TW3 JRGL V3 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 v20241124
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