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Ref 70 E3 by mattshumer

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  Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow

Ref 70 E3 Benchmarks

LLME Score: 0.40593
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Ref 70 E3 Parameters and Internals

LLM NameRef 70 E3
Repository 🤗https://huggingface.co/mattshumer/ref_70_e3 
Base Model(s)  meta-llama/Meta-Llama-3.1-70B-Instruct   meta-llama/Meta-Llama-3.1-70B-Instruct
Model Size70b
Required VRAM141.2 GB
Updated2024-09-18
Maintainermattshumer
Model Typellama
Instruction-BasedYes
Model Files  9.7 GB: 1-of-15   9.8 GB: 2-of-15   10.0 GB: 3-of-15   9.8 GB: 4-of-15   9.8 GB: 5-of-15   9.8 GB: 6-of-15   10.0 GB: 7-of-15   9.8 GB: 8-of-15   9.8 GB: 9-of-15   9.8 GB: 10-of-15   10.0 GB: 11-of-15   9.8 GB: 12-of-15   9.8 GB: 13-of-15   9.8 GB: 14-of-15   3.5 GB: 15-of-15
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128262
Torch Data Typefloat16
Ref 70 E3 (mattshumer/ref_70_e3)

Quantized Models of the Ref 70 E3

Model
Likes
Downloads
VRAM
...lection Llama 3.1 70B Bnb 4bit13180039 GB
Reflection Llama 3.1 70B GGUF339026 GB

Best Alternatives to Ref 70 E3

Best Alternatives
Context / RAM
Downloads
Likes
... 3 70B Instruct Gradient 1048K1024K / 141.9 GB1134119
... Chat 1048K Chinese Llama3 70B1024K / 141.9 GB32615
Llama3 Function Calling 1048K1024K / 141.9 GB21
...a 3 70B Instruct Gradient 524K512K / 141.9 GB16923
...a 3 70B Instruct Gradient 262K256K / 141.9 GB20055
...ama 3 70B Arimas Story RP V2.0256K / 141.1 GB1523
...ama 3 70B Arimas Story RP V1.5256K / 141.2 GB1462
...ama 3 70B Arimas Story RP V1.6256K / 141.2 GB920
Meta Llama 3.1 70B Instruct128K / 141.9 GB358970483
... 3.1 SauerkrautLM 70B Instruct128K / 141.1 GB294212
Note: green Score (e.g. "73.2") means that the model is better than mattshumer/ref_70_e3.

Rank the Ref 70 E3 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 v2024072803
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