ECeLLM M by NingLab

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  Autotrain compatible   Conversational   Dataset:ninglab/ecinstruct   Endpoints compatible   Instruct   License:cc-by-4.0   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Rank the ECeLLM M Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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  
ECeLLM M (NingLab/eCeLLM-M)

Best Alternatives to ECeLLM M

Best Alternatives
HF Rank
Mistral 7B Instruct V0.162.2332K / 14.4 GB4413601470
Mistral 7B Instruct V0.1 GGUF54.632K / 2.7 GB3272
Mistral 7B Instruct V0.1 GPTQ54.632K / 4.2 GB34709573
Mistral 7B Instruct V0.1 AWQ54.632K / 4.2 GB763435
Mistral 7B Instruct V0.1 AWQ54.632K / 4.2 GB101
Mistral 7B Instruct V0.1 GPTQ54.632K / 4.2 GB81
Mixtral Chat 7b54.632K / 7.7 GB351
Mixtral AI 7b54.632K / 7.7 GB220
... Summarize 64K QLoRANET Merged128K / 4.1 GB50
...1 Summarize 64K LoRANET Merged128K / 14.4 GB3070
Note: green Score (e.g. "73.2") means that the model is better than NingLab/eCeLLM-M.

ECeLLM M Parameters and Internals

RepositoryOpen on ๐Ÿค— 
Model Size7b
Required VRAM14.4 GB
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.38.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Initializer Range0.02
Torch Data Typefloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801