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DATA1233

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Model Name stringlengths 5 122	URL stringlengths 28 145	Crawled Text stringlengths 1 199k ⌀	text stringlengths 180 199k
shivi23/lwf-6-24	https://huggingface.co/shivi23/lwf-6-24	No model card New: Create and edit this model card directly on the website!	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : shivi23/lwf-6-24 ### Model URL : https://huggingface.co/shivi23/lwf-6-24 ### Model Description : No model card New: Create and edit this model card directly on the website!
shiontendon/mini9L_trasnlate1000000	https://huggingface.co/shiontendon/mini9L_trasnlate1000000	No model card New: Create and edit this model card directly on the website!	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : shiontendon/mini9L_trasnlate1000000 ### Model URL : https://huggingface.co/shiontendon/mini9L_trasnlate1000000 ### Model Description : No model card New: Create and edit this model card directly on the website!
muvendiran/murugesan	https://huggingface.co/muvendiran/murugesan	No model card New: Create and edit this model card directly on the website!	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : muvendiran/murugesan ### Model URL : https://huggingface.co/muvendiran/murugesan ### Model Description : No model card New: Create and edit this model card directly on the website!
framolfese/commonsense-retriever	https://huggingface.co/framolfese/commonsense-retriever	No model card New: Create and edit this model card directly on the website!	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : framolfese/commonsense-retriever ### Model URL : https://huggingface.co/framolfese/commonsense-retriever ### Model Description : No model card New: Create and edit this model card directly on the website!
OmarAlsaabi/finetuned-embeddings-base-mlqa-ar-rag	https://huggingface.co/OmarAlsaabi/finetuned-embeddings-base-mlqa-ar-rag	Failed to access https://huggingface.co/OmarAlsaabi/finetuned-embeddings-base-mlqa-ar-rag - HTTP Status Code: 404	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : OmarAlsaabi/finetuned-embeddings-base-mlqa-ar-rag ### Model URL : https://huggingface.co/OmarAlsaabi/finetuned-embeddings-base-mlqa-ar-rag ### Model Description : Failed to access https://huggingface.co/OmarAlsaabi/finetuned-embeddings-base-mlqa-ar-rag - HTTP Status Code: 404
aanaya/rare-puppers	https://huggingface.co/aanaya/rare-puppers	Autogenerated by HuggingPics🤗🖼️ Create your own image classifier for anything by running the demo on Google Colab. Report any issues with the demo at the github repo.	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : aanaya/rare-puppers ### Model URL : https://huggingface.co/aanaya/rare-puppers ### Model Description : Autogenerated by HuggingPics🤗🖼️ Create your own image classifier for anything by running the demo on Google Colab. Report any issues with the demo at the github repo.
BlackSamorez/Mixtral-8x7b-AQLM-2Bit-1x15-hf	https://huggingface.co/BlackSamorez/Mixtral-8x7b-AQLM-2Bit-1x15-hf	Failed to access https://huggingface.co/BlackSamorez/Mixtral-8x7b-AQLM-2Bit-1x15-hf - HTTP Status Code: 404	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : BlackSamorez/Mixtral-8x7b-AQLM-2Bit-1x15-hf ### Model URL : https://huggingface.co/BlackSamorez/Mixtral-8x7b-AQLM-2Bit-1x15-hf ### Model Description : Failed to access https://huggingface.co/BlackSamorez/Mixtral-8x7b-AQLM-2Bit-1x15-hf - HTTP Status Code: 404
OmarAlsaabi/finetune-embeddings-base	https://huggingface.co/OmarAlsaabi/finetune-embeddings-base	Failed to access https://huggingface.co/OmarAlsaabi/finetune-embeddings-base - HTTP Status Code: 404	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : OmarAlsaabi/finetune-embeddings-base ### Model URL : https://huggingface.co/OmarAlsaabi/finetune-embeddings-base ### Model Description : Failed to access https://huggingface.co/OmarAlsaabi/finetune-embeddings-base - HTTP Status Code: 404
framolfese/commonsense-index	https://huggingface.co/framolfese/commonsense-index	No model card New: Create and edit this model card directly on the website!	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : framolfese/commonsense-index ### Model URL : https://huggingface.co/framolfese/commonsense-index ### Model Description : No model card New: Create and edit this model card directly on the website!
FarmerlineML/wav2vec2-large-xls-r-300m-Twi-colab	https://huggingface.co/FarmerlineML/wav2vec2-large-xls-r-300m-Twi-colab	Failed to access https://huggingface.co/FarmerlineML/wav2vec2-large-xls-r-300m-Twi-colab - HTTP Status Code: 404	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : FarmerlineML/wav2vec2-large-xls-r-300m-Twi-colab ### Model URL : https://huggingface.co/FarmerlineML/wav2vec2-large-xls-r-300m-Twi-colab ### Model Description : Failed to access https://huggingface.co/FarmerlineML/wav2vec2-large-xls-r-300m-Twi-colab - HTTP Status Code: 404
HeydarS/flan-t5-base_peft_v21	https://huggingface.co/HeydarS/flan-t5-base_peft_v21	[More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. Use the code below to get started with the model. [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019). [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] BibTeX: [More Information Needed] APA: [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed]	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : HeydarS/flan-t5-base_peft_v21 ### Model URL : https://huggingface.co/HeydarS/flan-t5-base_peft_v21 ### Model Description : [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. Use the code below to get started with the model. [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019). [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] BibTeX: [More Information Needed] APA: [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed]
ramsi-k/LunarLander-v2-fromscratch-tune	https://huggingface.co/ramsi-k/LunarLander-v2-fromscratch-tune	This is a trained model of a PPO agent playing LunarLander-v2.	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : ramsi-k/LunarLander-v2-fromscratch-tune ### Model URL : https://huggingface.co/ramsi-k/LunarLander-v2-fromscratch-tune ### Model Description : This is a trained model of a PPO agent playing LunarLander-v2.
silvering/vit-emotions-classification-fp16	https://huggingface.co/silvering/vit-emotions-classification-fp16	This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training:	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : silvering/vit-emotions-classification-fp16 ### Model URL : https://huggingface.co/silvering/vit-emotions-classification-fp16 ### Model Description : This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training:
fabiuslongo/llama-fol-50ep	https://huggingface.co/fabiuslongo/llama-fol-50ep	Failed to access https://huggingface.co/fabiuslongo/llama-fol-50ep - HTTP Status Code: 404	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : fabiuslongo/llama-fol-50ep ### Model URL : https://huggingface.co/fabiuslongo/llama-fol-50ep ### Model Description : Failed to access https://huggingface.co/fabiuslongo/llama-fol-50ep - HTTP Status Code: 404
tndklab/wav2vec_RTSplit0207_7	https://huggingface.co/tndklab/wav2vec_RTSplit0207_7	This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-japanese on the None dataset. It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training:	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : tndklab/wav2vec_RTSplit0207_7 ### Model URL : https://huggingface.co/tndklab/wav2vec_RTSplit0207_7 ### Model Description : This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-japanese on the None dataset. It achieves the following results on the evaluation set: More information needed More information needed More information needed The following hyperparameters were used during training:
venkatareddykonasani/toxic_comments_BERT_3epochs	https://huggingface.co/venkatareddykonasani/toxic_comments_BERT_3epochs	No model card New: Create and edit this model card directly on the website!	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : venkatareddykonasani/toxic_comments_BERT_3epochs ### Model URL : https://huggingface.co/venkatareddykonasani/toxic_comments_BERT_3epochs ### Model Description : No model card New: Create and edit this model card directly on the website!
wxzhang/Zephyr-SeFT	https://huggingface.co/wxzhang/Zephyr-SeFT	null	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : wxzhang/Zephyr-SeFT ### Model URL : https://huggingface.co/wxzhang/Zephyr-SeFT ### Model Description :
humung/Ko-PlatYi-6B-lora-vlending-v0.1	https://huggingface.co/humung/Ko-PlatYi-6B-lora-vlending-v0.1	Failed to access https://huggingface.co/humung/Ko-PlatYi-6B-lora-vlending-v0.1 - HTTP Status Code: 404	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : humung/Ko-PlatYi-6B-lora-vlending-v0.1 ### Model URL : https://huggingface.co/humung/Ko-PlatYi-6B-lora-vlending-v0.1 ### Model Description : Failed to access https://huggingface.co/humung/Ko-PlatYi-6B-lora-vlending-v0.1 - HTTP Status Code: 404
logicker/SkkuDataScience-Qwen14B-v1	https://huggingface.co/logicker/SkkuDataScience-Qwen14B-v1	No model card New: Create and edit this model card directly on the website!	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : logicker/SkkuDataScience-Qwen14B-v1 ### Model URL : https://huggingface.co/logicker/SkkuDataScience-Qwen14B-v1 ### Model Description : No model card New: Create and edit this model card directly on the website!
lallini/provaModelloOcr	https://huggingface.co/lallini/provaModelloOcr	null	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : lallini/provaModelloOcr ### Model URL : https://huggingface.co/lallini/provaModelloOcr ### Model Description :
indischepartij/MiaPuccino-7b-GGUF	https://huggingface.co/indischepartij/MiaPuccino-7b-GGUF	No model card New: Create and edit this model card directly on the website!	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : indischepartij/MiaPuccino-7b-GGUF ### Model URL : https://huggingface.co/indischepartij/MiaPuccino-7b-GGUF ### Model Description : No model card New: Create and edit this model card directly on the website!
Ketengan-Diffusion/AnySomniumXL-v3.5.1	https://huggingface.co/Ketengan-Diffusion/AnySomniumXL-v3.5.1	Ketengan-Diffusion/AnySomniumXL v3.5 is a SDXL model that has been fine-tuned on stabilityai/stable-diffusion-xl-base-1.0. This is enhanced version of AnySomniumXL v3 Image source: Source1 Source2 Source3 Our dataset is scored using Pretrained CLIP+MLP Aesthetic Scoring model by https://github.com/christophschuhmann/improved-aesthetic-predictor, and We made adjusment into our script to detecting any text or watermark by utilizing OCR by pytesseract This scoring method has scale between -1-100, we take the score threshold around 17 or 20 as minimum and 65-75 as maximum to pretain the 2D style of the dataset, Any images with text will returning -1 score. So any images with score below 17 or above 65 is deleted The dataset curation proccess is using Nvidia T4 16GB Machine and takes about 7 days for curating 1.000.000 images. We using combination of proprietary Multimodal LLM and open source multimodal LLM such as LLaVa 1.5 as the captioning process which is resulting more complex result than using normal BLIP2. Any detail like the clothes, atmosphere, situation, scene, place, gender, skin, and others is generated by LLM. This captioning process to captioning 133k images takes about 6 Days with NVIDIA Tesla A100 80GB PCIe. We still improving our script to generate caption faster. The minimum VRAM that required for this captioning process is 24GB VRAM which is not sufficient if we using NVIDIA Tesla T4 16GB We simply using booru tags, that retrieved from booru boards so this could be tagged by manually by human hence make this tags more accurate. You can try our AnySomniumXL v3 for free on demo.ketengan.com AnySomniumXL v3.5 Technical Specifications: Batch Size: 25 Learning rate: 2e-6 Trained with a bucket size of 1280x1280 Shuffle Caption: Yes Clip Skip: 2 Trained with 2x NVIDIA A100 80GB Because it's trained with 1280x1280 resolution, so here the best resolution to get the full power of AnySomniumXL v3 You can support me:	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : Ketengan-Diffusion/AnySomniumXL-v3.5.1 ### Model URL : https://huggingface.co/Ketengan-Diffusion/AnySomniumXL-v3.5.1 ### Model Description : Ketengan-Diffusion/AnySomniumXL v3.5 is a SDXL model that has been fine-tuned on stabilityai/stable-diffusion-xl-base-1.0. This is enhanced version of AnySomniumXL v3 Image source: Source1 Source2 Source3 Our dataset is scored using Pretrained CLIP+MLP Aesthetic Scoring model by https://github.com/christophschuhmann/improved-aesthetic-predictor, and We made adjusment into our script to detecting any text or watermark by utilizing OCR by pytesseract This scoring method has scale between -1-100, we take the score threshold around 17 or 20 as minimum and 65-75 as maximum to pretain the 2D style of the dataset, Any images with text will returning -1 score. So any images with score below 17 or above 65 is deleted The dataset curation proccess is using Nvidia T4 16GB Machine and takes about 7 days for curating 1.000.000 images. We using combination of proprietary Multimodal LLM and open source multimodal LLM such as LLaVa 1.5 as the captioning process which is resulting more complex result than using normal BLIP2. Any detail like the clothes, atmosphere, situation, scene, place, gender, skin, and others is generated by LLM. This captioning process to captioning 133k images takes about 6 Days with NVIDIA Tesla A100 80GB PCIe. We still improving our script to generate caption faster. The minimum VRAM that required for this captioning process is 24GB VRAM which is not sufficient if we using NVIDIA Tesla T4 16GB We simply using booru tags, that retrieved from booru boards so this could be tagged by manually by human hence make this tags more accurate. You can try our AnySomniumXL v3 for free on demo.ketengan.com AnySomniumXL v3.5 Technical Specifications: Batch Size: 25 Learning rate: 2e-6 Trained with a bucket size of 1280x1280 Shuffle Caption: Yes Clip Skip: 2 Trained with 2x NVIDIA A100 80GB Because it's trained with 1280x1280 resolution, so here the best resolution to get the full power of AnySomniumXL v3 You can support me:
amlove20/5Dt4pcP7ViML6hug2ph1uyGHGS77zNfSy8gMLZnsHMTVPRSM_res	https://huggingface.co/amlove20/5Dt4pcP7ViML6hug2ph1uyGHGS77zNfSy8gMLZnsHMTVPRSM_res	No model card New: Create and edit this model card directly on the website!	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : amlove20/5Dt4pcP7ViML6hug2ph1uyGHGS77zNfSy8gMLZnsHMTVPRSM_res ### Model URL : https://huggingface.co/amlove20/5Dt4pcP7ViML6hug2ph1uyGHGS77zNfSy8gMLZnsHMTVPRSM_res ### Model Description : No model card New: Create and edit this model card directly on the website!
amlove20/5Dt4pcP7ViML6hug2ph1uyGHGS77zNfSy8gMLZnsHMTVPRSM_efficient	https://huggingface.co/amlove20/5Dt4pcP7ViML6hug2ph1uyGHGS77zNfSy8gMLZnsHMTVPRSM_efficient	No model card New: Create and edit this model card directly on the website!	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : amlove20/5Dt4pcP7ViML6hug2ph1uyGHGS77zNfSy8gMLZnsHMTVPRSM_efficient ### Model URL : https://huggingface.co/amlove20/5Dt4pcP7ViML6hug2ph1uyGHGS77zNfSy8gMLZnsHMTVPRSM_efficient ### Model Description : No model card New: Create and edit this model card directly on the website!
deepnet/SN6-30	https://huggingface.co/deepnet/SN6-30	No model card New: Create and edit this model card directly on the website!	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : deepnet/SN6-30 ### Model URL : https://huggingface.co/deepnet/SN6-30 ### Model Description : No model card New: Create and edit this model card directly on the website!
giovass/first_FineTuning	https://huggingface.co/giovass/first_FineTuning	Failed to access https://huggingface.co/giovass/first_FineTuning - HTTP Status Code: 404	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : giovass/first_FineTuning ### Model URL : https://huggingface.co/giovass/first_FineTuning ### Model Description : Failed to access https://huggingface.co/giovass/first_FineTuning - HTTP Status Code: 404
Arozhada/dqn-SpaceInvadersNoFrameskip-v4	https://huggingface.co/Arozhada/dqn-SpaceInvadersNoFrameskip-v4	This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4 using the stable-baselines3 library and the RL Zoo. The RL Zoo is a training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included. RL Zoo: https://github.com/DLR-RM/rl-baselines3-zoo SB3: https://github.com/DLR-RM/stable-baselines3 SB3 Contrib: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib Install the RL Zoo (with SB3 and SB3-Contrib): If you installed the RL Zoo3 via pip (pip install rl_zoo3), from anywhere you can do:	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : Arozhada/dqn-SpaceInvadersNoFrameskip-v4 ### Model URL : https://huggingface.co/Arozhada/dqn-SpaceInvadersNoFrameskip-v4 ### Model Description : This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4 using the stable-baselines3 library and the RL Zoo. The RL Zoo is a training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included. RL Zoo: https://github.com/DLR-RM/rl-baselines3-zoo SB3: https://github.com/DLR-RM/stable-baselines3 SB3 Contrib: https://github.com/Stable-Baselines-Team/stable-baselines3-contrib Install the RL Zoo (with SB3 and SB3-Contrib): If you installed the RL Zoo3 via pip (pip install rl_zoo3), from anywhere you can do:
amlove20/5Dt4pcP7ViML6hug2ph1uyGHGS77zNfSy8gMLZnsHMTVPRSM_mobile	https://huggingface.co/amlove20/5Dt4pcP7ViML6hug2ph1uyGHGS77zNfSy8gMLZnsHMTVPRSM_mobile	No model card New: Create and edit this model card directly on the website!	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : amlove20/5Dt4pcP7ViML6hug2ph1uyGHGS77zNfSy8gMLZnsHMTVPRSM_mobile ### Model URL : https://huggingface.co/amlove20/5Dt4pcP7ViML6hug2ph1uyGHGS77zNfSy8gMLZnsHMTVPRSM_mobile ### Model Description : No model card New: Create and edit this model card directly on the website!
superfriends/wedgehog-v2	https://huggingface.co/superfriends/wedgehog-v2	Failed to access https://huggingface.co/superfriends/wedgehog-v2 - HTTP Status Code: 404	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : superfriends/wedgehog-v2 ### Model URL : https://huggingface.co/superfriends/wedgehog-v2 ### Model Description : Failed to access https://huggingface.co/superfriends/wedgehog-v2 - HTTP Status Code: 404
emvecchi/constructivenessMT	https://huggingface.co/emvecchi/constructivenessMT	Failed to access https://huggingface.co/emvecchi/constructivenessMT - HTTP Status Code: 404	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : emvecchi/constructivenessMT ### Model URL : https://huggingface.co/emvecchi/constructivenessMT ### Model Description : Failed to access https://huggingface.co/emvecchi/constructivenessMT - HTTP Status Code: 404
medxiaorudan/bert-base-cased-finetuned-MultiNERD-SystemA	https://huggingface.co/medxiaorudan/bert-base-cased-finetuned-MultiNERD-SystemA	No model card New: Create and edit this model card directly on the website!	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : medxiaorudan/bert-base-cased-finetuned-MultiNERD-SystemA ### Model URL : https://huggingface.co/medxiaorudan/bert-base-cased-finetuned-MultiNERD-SystemA ### Model Description : No model card New: Create and edit this model card directly on the website!
logicker/SkkuDataScience-Qwen14B-v2	https://huggingface.co/logicker/SkkuDataScience-Qwen14B-v2	No model card New: Create and edit this model card directly on the website!	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : logicker/SkkuDataScience-Qwen14B-v2 ### Model URL : https://huggingface.co/logicker/SkkuDataScience-Qwen14B-v2 ### Model Description : No model card New: Create and edit this model card directly on the website!
ramsi-k/poca-SoccerTwos	https://huggingface.co/ramsi-k/poca-SoccerTwos	This is a trained model of a poca agent playing SoccerTwos using the Unity ML-Agents Library. The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/ We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub: You can watch your agent playing directly in your browser	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : ramsi-k/poca-SoccerTwos ### Model URL : https://huggingface.co/ramsi-k/poca-SoccerTwos ### Model Description : This is a trained model of a poca agent playing SoccerTwos using the Unity ML-Agents Library. The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/ We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub: You can watch your agent playing directly in your browser
mapama247/aguila-7b-gguf	https://huggingface.co/mapama247/aguila-7b-gguf	null	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : mapama247/aguila-7b-gguf ### Model URL : https://huggingface.co/mapama247/aguila-7b-gguf ### Model Description :
sajaw/AntModel-7B-XLLM-Demo-LoRA	https://huggingface.co/sajaw/AntModel-7B-XLLM-Demo-LoRA	[More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. Use the code below to get started with the model. [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019). [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] BibTeX: [More Information Needed] APA: [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed]	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : sajaw/AntModel-7B-XLLM-Demo-LoRA ### Model URL : https://huggingface.co/sajaw/AntModel-7B-XLLM-Demo-LoRA ### Model Description : [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. Use the code below to get started with the model. [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019). [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] BibTeX: [More Information Needed] APA: [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed]
TokenBender/navaran_dpo_qlora	https://huggingface.co/TokenBender/navaran_dpo_qlora	DPO qlora adapter for Navarna, refer to https://huggingface.co/TokenBender/navarna_hindi_merged for SFT qlora merged model. And final DPO adapter merged model is - https://huggingface.co/TokenBender/navaran_hindi_dpo_merged	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : TokenBender/navaran_dpo_qlora ### Model URL : https://huggingface.co/TokenBender/navaran_dpo_qlora ### Model Description : DPO qlora adapter for Navarna, refer to https://huggingface.co/TokenBender/navarna_hindi_merged for SFT qlora merged model. And final DPO adapter merged model is - https://huggingface.co/TokenBender/navaran_hindi_dpo_merged
reginaldcoghlan/qa	https://huggingface.co/reginaldcoghlan/qa	In today's digital landscape, the reliability, functionality, and performance of software are paramount to business success. At https://inoxoft.com/service/qa-consulting/, we specialize in revolutionizing your approach to testing, ensuring your products meet exemplary quality standards every step of the way. Our QA consulting services are designed to enhance efficiency, elevate user experience, and propel your business toward greater heights. As an ISO 27001 certified company and esteemed Microsoft Gold Partner, Google Cloud Partner, ISTQB Silver Partner, and recognized member of Clutch Firms that Deliver and Pangea, we bring unparalleled expertise to every project. Proud members of the Lviv IT Cluster, we are committed to setting industry standards and exceeding client expectations. Our comprehensive suite of Quality Assurance consulting services includes: Test Engineering: Our seasoned software QA consultants craft and implement robust testing frameworks tailored to your project's unique requirements. From identifying and addressing defects to verifying system performance, we cover all functional and non-functional aspects with precision. Test Management: Ensure seamless planning, execution, and delivery of QA activities throughout your project lifecycle. Our specialists align testing processes with your company goals, objectives, and quality standards, monitoring progress, and addressing issues proactively. Test Governance & Compliance: Navigating industries with stringent regulations such as healthcare, finance, and government, we define policies, procedures, and guidelines to ensure compliance. Our quality control measures mitigate risks and ensure timely addressing of compliance-related challenges. QA Audit and Improvement: We analyze your existing QA processes to identify areas for improvement, streamlining workflows, and enhancing efficiency. Leveraging automation and continuous integration practices, we optimize your testing processes for maximum efficacy. Pre-certification QA: Prepare your software products for certification and compliance with industry standards and regulations. Our comprehensive assessments, gap analyses, and mock audits ensure your solution meets the necessary criteria.	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : reginaldcoghlan/qa ### Model URL : https://huggingface.co/reginaldcoghlan/qa ### Model Description : In today's digital landscape, the reliability, functionality, and performance of software are paramount to business success. At https://inoxoft.com/service/qa-consulting/, we specialize in revolutionizing your approach to testing, ensuring your products meet exemplary quality standards every step of the way. Our QA consulting services are designed to enhance efficiency, elevate user experience, and propel your business toward greater heights. As an ISO 27001 certified company and esteemed Microsoft Gold Partner, Google Cloud Partner, ISTQB Silver Partner, and recognized member of Clutch Firms that Deliver and Pangea, we bring unparalleled expertise to every project. Proud members of the Lviv IT Cluster, we are committed to setting industry standards and exceeding client expectations. Our comprehensive suite of Quality Assurance consulting services includes: Test Engineering: Our seasoned software QA consultants craft and implement robust testing frameworks tailored to your project's unique requirements. From identifying and addressing defects to verifying system performance, we cover all functional and non-functional aspects with precision. Test Management: Ensure seamless planning, execution, and delivery of QA activities throughout your project lifecycle. Our specialists align testing processes with your company goals, objectives, and quality standards, monitoring progress, and addressing issues proactively. Test Governance & Compliance: Navigating industries with stringent regulations such as healthcare, finance, and government, we define policies, procedures, and guidelines to ensure compliance. Our quality control measures mitigate risks and ensure timely addressing of compliance-related challenges. QA Audit and Improvement: We analyze your existing QA processes to identify areas for improvement, streamlining workflows, and enhancing efficiency. Leveraging automation and continuous integration practices, we optimize your testing processes for maximum efficacy. Pre-certification QA: Prepare your software products for certification and compliance with industry standards and regulations. Our comprehensive assessments, gap analyses, and mock audits ensure your solution meets the necessary criteria.
logicker/SkkuDataScience-Qwen14B-v3	https://huggingface.co/logicker/SkkuDataScience-Qwen14B-v3	No model card New: Create and edit this model card directly on the website!	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : logicker/SkkuDataScience-Qwen14B-v3 ### Model URL : https://huggingface.co/logicker/SkkuDataScience-Qwen14B-v3 ### Model Description : No model card New: Create and edit this model card directly on the website!
0x0dad0/nous_v5	https://huggingface.co/0x0dad0/nous_v5	No model card New: Create and edit this model card directly on the website!	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : 0x0dad0/nous_v5 ### Model URL : https://huggingface.co/0x0dad0/nous_v5 ### Model Description : No model card New: Create and edit this model card directly on the website!
hingeankit/first	https://huggingface.co/hingeankit/first	This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. Use the code below to get started with the model. [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019). [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] BibTeX: [More Information Needed] APA: [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed]	Indicators looking for configurations to recommend AI models for configuring AI agents ### Model Name : hingeankit/first ### Model URL : https://huggingface.co/hingeankit/first ### Model Description : This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. Use the code below to get started with the model. [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019). [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] BibTeX: [More Information Needed] APA: [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed] [More Information Needed]