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RichardErkhov/
maywell_-_Synatra-11B-Tb2M_SM-gguf

Name: maywell_-_Synatra-11B-Tb2M_SM-gguf
Availability: InStock

endpoints_compatible

gguf

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Quantization made by Richard Erkhov.

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Synatra-11B-Tb2M_SM - GGUF

Model creator: https://huggingface.co/maywell/
Original model: https://huggingface.co/maywell/Synatra-11B-Tb2M_SM/

Name	Quant method	Size
Synatra-11B-Tb2M_SM.Q2_K.gguf	Q2_K	3.73GB
Synatra-11B-Tb2M_SM.IQ3_XS.gguf	IQ3_XS	4.14GB
Synatra-11B-Tb2M_SM.IQ3_S.gguf	IQ3_S	4.37GB
Synatra-11B-Tb2M_SM.Q3_K_S.gguf	Q3_K_S	4.34GB
Synatra-11B-Tb2M_SM.IQ3_M.gguf	IQ3_M	4.51GB
Synatra-11B-Tb2M_SM.Q3_K.gguf	Q3_K	4.84GB
Synatra-11B-Tb2M_SM.Q3_K_M.gguf	Q3_K_M	4.84GB
Synatra-11B-Tb2M_SM.Q3_K_L.gguf	Q3_K_L	5.26GB
Synatra-11B-Tb2M_SM.IQ4_XS.gguf	IQ4_XS	5.43GB
Synatra-11B-Tb2M_SM.Q4_0.gguf	Q4_0	5.66GB
Synatra-11B-Tb2M_SM.IQ4_NL.gguf	IQ4_NL	5.72GB
Synatra-11B-Tb2M_SM.Q4_K_S.gguf	Q4_K_S	5.7GB
Synatra-11B-Tb2M_SM.Q4_K.gguf	Q4_K	6.02GB
Synatra-11B-Tb2M_SM.Q4_K_M.gguf	Q4_K_M	6.02GB
Synatra-11B-Tb2M_SM.Q4_1.gguf	Q4_1	6.27GB
Synatra-11B-Tb2M_SM.Q5_0.gguf	Q5_0	6.89GB
Synatra-11B-Tb2M_SM.Q5_K_S.gguf	Q5_K_S	6.89GB
Synatra-11B-Tb2M_SM.Q5_K.gguf	Q5_K	7.08GB
Synatra-11B-Tb2M_SM.Q5_K_M.gguf	Q5_K_M	7.08GB
Synatra-11B-Tb2M_SM.Q5_1.gguf	Q5_1	7.51GB
Synatra-11B-Tb2M_SM.Q6_K.gguf	Q6_K	8.2GB
Synatra-11B-Tb2M_SM.Q8_0.gguf	Q8_0	10.62GB

Original model description:

language:

library_name: transformers pipeline_tag: text-generation license: cc-by-nc-4.0

Synatra-11B-Tb2M-SM

Made by StableFluffy

Contact (Do not Contact for personal things.) Discord : is.maywell Telegram : AlzarTakkarsen

License

This model is strictly non-commercial (cc-by-nc-4.0) use only which takes priority over the MISTRAL APACHE 2.0. The "Model" is completely free (ie. base model, derivates, merges/mixes) to use for non-commercial purposes as long as the the included cc-by-nc-4.0 license in any parent repository, and the non-commercial use statute remains, regardless of other models' licences. The licence can be changed after new model released. If you are to use this model for commercial purpose, Contact me.

Model Details

Base Model
mistralai/Mistral-7B-Instruct-v0.1

teknium/CollectiveCognition-v1.1-Mistral-7B, Apache 2.0

Trained On
A100 80GB * 4

Model Benchmark


> Readme format: [beomi/llama-2-ko-7b](https://huggingface.co/beomi/llama-2-ko-7b)

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RichardErkhov/maywell_-_Synatra-11B-Tb2M_SM-gguf