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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["unsloth"]} | ntvcie/Gemma2bVinhntV2 | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"unsloth",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-11T08:02:20+00:00 | [
"1910.09700"
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#transformers #safetensors #gemma #text-generation #unsloth #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Model Card for Model ID
## Model Details
### 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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | chirbard/ppo-Huggy | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-11T08:03:46+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutorial* wh... | [
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text-generation | transformers |
# Gemma 2B Translation v0.91
- Eval Loss: `1.0779`
- Train Loss: `0.5749`
- lr: `5e-5`
- optimizer: adamw
- lr_scheduler_type: cosine
## Prompt Template
```
<bos><start_of_turn>user
Translate into Korean.
English:
Hamsters don't eat cats.<end_of_turn>
<start_of_turn>model
햄스터는 고양이를 먹지 않습니다.<eos>
```
## Model De... | {"language": ["ko"], "license": "gemma", "library_name": "transformers", "tags": ["gemma", "pytorch", "instruct", "finetune", "translation"], "widget": [{"messages": [{"role": "user", "content": "Translate into Korean.\nEnglish:\n\nHamsters don't eat cats."}]}], "inference": {"parameters": {"max_new_tokens": 1024}}, "b... | lemon-mint/gemma-2b-translation-v0.91 | null | [
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"region:us"
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"ko"
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|
# Gemma 2B Translation v0.91
- Eval Loss: '1.0779'
- Train Loss: '0.5749'
- lr: '5e-5'
- optimizer: adamw
- lr_scheduler_type: cosine
## Prompt Template
## Model Description
- Developed by: 'lemon-mint'
- Model type: Gemma
- Language(s) (NLP): English
- License: gemma-terms-of-use
- Finetuned from model: googl... | [
"# Gemma 2B Translation v0.91\n\n- Eval Loss: '1.0779'\n- Train Loss: '0.5749'\n- lr: '5e-5'\n- optimizer: adamw\n- lr_scheduler_type: cosine",
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text-generation | transformers |
# Uploaded model
- **Developed by:** ntvcie
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-2b-bnb-4bit"} | ntvcie/Gemma2bVinhntV2_16bit | null | [
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|
# Uploaded model
- Developed by: ntvcie
- License: apache-2.0
- Finetuned from model : unsloth/gemma-2b-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zephyr-sft-timedial
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignme... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["EllieS/timedial_data"], "base_model": "alignment-handbook/zephyr-7b-sft-full", "model-index": [{"name": "zephyr-sft-timedial", "results": []}]} | EllieS/zephyr-sft-timedial | null | [
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"mistral",
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"dataset:EllieS/timedial_data",
"base_model:alignment-handbook/zephyr-7b-sft-full",
"license:apache-2.0",
"region:us"
] | null | 2024-04-11T08:04:39+00:00 | [] | [] | TAGS
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| zephyr-sft-timedial
===================
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the EllieS/timedial\_data dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1135
Model description
-----------------
More information needed
Intended uses & limitati... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 4\n* optimizer: Adam wit... | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | KhimNguyen/text2sql | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T08:05:38+00:00 | [
"1910.09700"
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#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### 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.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | enyuan/llama_chat_materials | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/LeroyDyer/Mixtral_AI_Medic
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "not-for-all-audiences", "medical", "climate", "biology", "chemistry", "finance", "legal"], "datasets": ["pubmed", "Open-Orca/OpenOrca", "cognitivecomputations... | mradermacher/Mixtral_AI_Medic-GGUF | null | [
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-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers |
# Calmex26-7B-slerp
Calmex26-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [allknowingroger/MultiverseEx26-7B-slerp](https://huggingface.co/allknowingroger/MultiverseEx26-7B-slerp)
* [allknowingroger/CalmExper... | {"tags": ["merge", "mergekit", "lazymergekit", "allknowingroger/MultiverseEx26-7B-slerp", "allknowingroger/CalmExperiment-7B-slerp"], "base_model": ["allknowingroger/MultiverseEx26-7B-slerp", "allknowingroger/CalmExperiment-7B-slerp"]} | allknowingroger/Calmex26-7B-slerp | null | [
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"base_model:allknowingroger/CalmExperiment-7B-slerp",
"a... | null | 2024-04-11T08:07:47+00:00 | [] | [] | TAGS
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# Calmex26-7B-slerp
Calmex26-7B-slerp is a merge of the following models using LazyMergekit:
* allknowingroger/MultiverseEx26-7B-slerp
* allknowingroger/CalmExperiment-7B-slerp
## Configuration
## Usage
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | arjun3103/sql-finetune-mistrel4bit | null | [
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# Model Card for Model ID
## Model Details
### 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.
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# tmp_trainer
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
##... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "tmp_trainer", "results": []}]} | GeorgeDaDude/tmp_trainer | null | [
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|
# tmp_trainer
This model is a fine-tuned version of roberta-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
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#peft #safetensors #falcon #region-us
| ## Training procedure
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- load_in_4bit: True
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- llm_int8_skip_modules: None
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text-generation | transformers | # Weyaxi/Einstein-v6-7B AWQ
- Model creator: [Weyaxi](https://huggingface.co/Weyaxi)
- Original model: [Einstein-v6-7B](https://huggingface.co/Weyaxi/Einstein-v6-7B)
## Model Summary
This model is ... | {"language": ["en"], "license": "other", "tags": ["axolotl", "generated_from_trainer", "Mistral", "instruct", "finetune", "chatml", "gpt4", "synthetic data", "science", "physics", "chemistry", "biology", "math", "quantized", "4-bit", "AWQ", "autotrain_compatible", "endpoints_compatible", "text-generation-inference"], "... | solidrust/Einstein-v6-7B-AWQ | null | [
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... | null | 2024-04-11T08:11:51+00:00 | [] | [
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- Model creator: Weyaxi
- Original model: Einstein-v6-7B
!image/png
## Model Summary
This model is a full fine-tuned version of alpindale/Mistral-7B-v0.2-hf on diverse datasets.
This model is finetuned using '8xRTX3090' + '1xRTXA6000' using axolotl.
This model's training was sponsored ... | [
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text-to-image | diffusers |
# World of Warcraft cinematic style [SDXL]
<Gallery />
([CivitAI](https://civitai.com/models/382229))
## Model description
<p>Trained upon cinematic images taken from World of Warcraft trailers up till the "Shadowlands" expansion. This is also why it seems to produce better results in landscape than in square a... | {"license": "other", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora", "migrated", "wow", "style", "cinematic", "fantasy", "sdxl style lora", "world of wacraft"], "license_name": "bespoke-lora-trained-license", "license_link": "https://multimodal.art/civitai-licenses?allowNoCredit=T... | Norod78/world-of-warcraft-cinematic-style-sdxl | null | [
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|
# World of Warcraft cinematic style [SDXL]
<Gallery />
(CivitAI)
## Model description
<p>Trained upon cinematic images taken from World of Warcraft trailers up till the "Shadowlands" expansion. This is also why it seems to produce better results in landscape than in square and portrait. I got the best results w... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | unrented5443/szox59a | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | yeamerci/alsval | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# babyberta-wiki-finetuned-squad-v1
This model was trained from scratch on an unknown dataset.
## Model description
More informa... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "babyberta-wiki-finetuned-squad-v1", "results": []}]} | lielbin/babyberta-wiki-finetuned-squad-v1 | null | [
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# babyberta-wiki-finetuned-squad-v1
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
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More information needed
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# imdb_classification_on_25M_full_pretrained
This model is a fine-tuned version of [ltuzova/amazon_domain_pretrained_model](https:... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "ltuzova/amazon_domain_pretrained_model", "model-index": [{"name": "imdb_classification_on_25M_full_pretrained", "results": []}]} | ltuzova/imdb_classification_on_25M_full_pretrained | null | [
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| imdb\_classification\_on\_25M\_full\_pretrained
===============================================
This model is a fine-tuned version of ltuzova/amazon\_domain\_pretrained\_model on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2037
* Accuracy: 0.9581
* F1 Macro: 0.9581
Model... | [
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text-generation | transformers | # **Llama 2**
Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for the 7B fine-tuned model, optimized for dialogue use cases and converted for the Hugging Face Transformers format. Links to other models can be fo... | {"language": ["en"], "tags": ["facebook", "meta", "pytorch", "llama", "llama-2"], "extra_gated_heading": "You need to share contact information with Meta to access this model", "extra_gated_prompt": "### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\"Agreement\" means the terms and conditions for use, reproduction, distributio... | Omkarp2403/Llama-hf | null | [
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| Llama 2
=======
Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. This is the repository for the 7B fine-tuned model, optimized for dialogue use cases and converted for the Hugging Face Transformers format. Links to other models can b... | [] | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | cilantro9246/twyqfgj | null | [
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|
# Model Card for Model ID
## Model Details
### 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.
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text-to-image | diffusers |
# CCTV Stlye [SDXL]
<Gallery />
([CivitAI](https://civitai.com/models/324811))
## Model description
<p>Trying to mimic the crappy yet unique style of CCTV cameras, the bad quality is a feature not a bug :) Hence, do not use to much negative and avoid Refiner / Too much of Hi-Rez fixes. </p>
## Trigger words
Yo... | {"license": "other", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora", "migrated", "cctv", "style", "security camera", "surveillance", "surveillance cam"], "license_name": "bespoke-lora-trained-license", "license_link": "https://multimodal.art/civitai-licenses?allowNoCredit=True&all... | Norod78/cctv-stlye-sdxl | null | [
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|
# CCTV Stlye [SDXL]
<Gallery />
(CivitAI)
## Model description
<p>Trying to mimic the crappy yet unique style of CCTV cameras, the bad quality is a feature not a bug :) Hence, do not use to much negative and avoid Refiner / Too much of Hi-Rez fixes. </p>
## Trigger words
You should use 'CCTV Style' to trigger ... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Mihaj/whisper-medium-colab-v3 | null | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama-7b-chat-50k_35_65
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "llama-7b-chat-50k_35_65", "results": []}]} | Niyantha23M/llama-7b-chat-50k_35_65 | null | [
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|
# llama-7b-chat-50k_35_65
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
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More information needed
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### Traini... | [
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text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | rubbrband/dctDreamComeTrueSDXL_dctxlv12 | null | [
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text-generation | transformers |
# karasu-base-slerp
karasu-base-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [lightblue/karasu-1.1B](https://huggingface.co/lightblue/karasu-1.1B)
* [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/Ti... | {"tags": ["merge", "mergekit", "lazymergekit", "lightblue/karasu-1.1B", "TinyLlama/TinyLlama-1.1B-Chat-v1.0"], "base_model": ["lightblue/karasu-1.1B", "TinyLlama/TinyLlama-1.1B-Chat-v1.0"]} | OT20230122/karasu-base-slerp | null | [
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... | null | 2024-04-11T08:22:54+00:00 | [] | [] | TAGS
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|
# karasu-base-slerp
karasu-base-slerp is a merge of the following models using LazyMergekit:
* lightblue/karasu-1.1B
* TinyLlama/TinyLlama-1.1B-Chat-v1.0
## Configuration
## Usage
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results
This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "results", "results": []}]} | Bossixd/toeic-part-2-distractor-generation-bert-based-uncased | null | [
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| results
=======
This model is a fine-tuned version of [](URL on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3650
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_food_model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "my_awesome_food_model", "results": []}]} | autodidact24/my_awesome_food_model | null | [
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| my\_awesome\_food\_model
========================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6399
* Accuracy: 0.901
Model description
-----------------
More information needed
Intended uses &... | [
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text2text-generation | transformers | # AraBART-AHS
### Model Description
**AraBART-AHS** is a fine-tuned version of [AraBART](https://huggingface.co/moussaKam/AraBART) model on [Arabic Headline Dataset (AHS)](https://journalofbigdata.springeropen.com/articles/10.1186/s40537-020-00386-7).
## Uses
This model is intended to be used to generate Arabic abs... | {"language": ["ar"], "license": "apache-2.0", "tags": ["Summarization", "Arabic Headline Dataset", "AHS", "AraBART"]} | benakrab/AraBART-AHS | null | [
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"endpoints_compatible",
"region:us"
] | null | 2024-04-11T08:26:34+00:00 | [] | [
"ar"
] | TAGS
#transformers #pytorch #mbart #text2text-generation #Summarization #Arabic Headline Dataset #AHS #AraBART #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| # AraBART-AHS
### Model Description
AraBART-AHS is a fine-tuned version of AraBART model on Arabic Headline Dataset (AHS).
## Uses
This model is intended to be used to generate Arabic abstractive summaries in particular headlines of articles.
### How to Use
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"### How to Use"
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null | null |
# DavidAU/Frankenstein-MoE-en-10.7Bx6-Q4_K_S-GGUF
This model was converted to GGUF format from [`MoEMoEKKung/Frankenstein-MoE-en-10.7Bx6`](https://huggingface.co/MoEMoEKKung/Frankenstein-MoE-en-10.7Bx6) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer t... | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Frankenstein-MoE-en-10.7Bx6-Q4_K_S-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"license:cc-by-nc-sa-4.0",
"region:us"
] | null | 2024-04-11T08:28:42+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-cc-by-nc-sa-4.0 #region-us
|
# DavidAU/Frankenstein-MoE-en-10.7Bx6-Q4_K_S-GGUF
This model was converted to GGUF format from 'MoEMoEKKung/Frankenstein-MoE-en-10.7Bx6' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the ... | [
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null | null | Introducere:
ValGone cream a făcut furori în lumea îngrijirii pielii, promițând că va revoluționa îngrijirea picioarelor cu formula sa inovatoare. Dar ce este exact ValGone gel Cremă și cum își face magia? În acest ghid cuprinzător, ne adâncim în lumea cremei ValGone Preț, explorând beneficiile acesteia, cum funcțione... | {"license": "apache-2.0"} | ValGoneRomania/ValGoneRomania | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-11T08:30:02+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| Introducere:
ValGone cream a făcut furori în lumea îngrijirii pielii, promițând că va revoluționa îngrijirea picioarelor cu formula sa inovatoare. Dar ce este exact ValGone gel Cremă și cum își face magia? În acest ghid cuprinzător, ne adâncim în lumea cremei ValGone Preț, explorând beneficiile acesteia, cum funcțione... | [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] | [
13
] | [
"TAGS\n#license-apache-2.0 #region-us \n"
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-base_ag_news2
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown da... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "roberta-base_ag_news2", "results": []}]} | marcom1112/roberta-base_ag_news2 | null | [
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"text-classification",
"generated_from_trainer",
"base_model:roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-11T08:32:09+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| roberta-base\_ag\_news2
=======================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4126
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps: ... | [
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text2text-generation | transformers |
# language_model
language_model is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased)
* [TheBloke/openchat_3.5-GPTQ](https://huggingface.co/... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "google-bert/bert-base-uncased", "TheBloke/openchat_3.5-GPTQ"], "base_model": ["google-bert/bert-base-uncased", "TheBloke/openchat_3.5-GPTQ"], "pipeline_tag": "text2text-generation"} | nagayama0706/language_model | null | [
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"google-bert/bert-base-uncased",
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"text2text-generation",
"base_model:google-bert/bert-base-uncased",
"base_model:TheBloke/openchat_3.5-GPTQ",
"license:apache-2.0",
... | null | 2024-04-11T08:32:20+00:00 | [] | [] | TAGS
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# language_model
language_model is a merge of the following models using LazyMergekit:
* google-bert/bert-base-uncased
* TheBloke/openchat_3.5-GPTQ
## Configuration
## Usage
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text-generation | transformers |
# Used dataset for fine-tuning
- sahil2801/CodeAlpaca-20k
- m-a-p/CodeFeedback-Filtered-Instruction | {"license": "apache-2.0"} | upstage/TinySolar-248m-4k-py-instruct | null | [
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"llama",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
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"region:us"
] | null | 2024-04-11T08:33:20+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Used dataset for fine-tuning
- sahil2801/CodeAlpaca-20k
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] |
text-to-image | diffusers |
# But the old gods are rising [SDXL]
<Gallery />
([CivitAI](https://civitai.com/models/312572))
## Model description
<p>It's just like your regular prompt "<strong>but the old gods are rising</strong>" in addition</p>
## Trigger words
You should use `but the old gods are rising` to trigger the image generation... | {"license": "other", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora", "migrated", "horror", "psychedelic", "tentacles", "style", "old gods"], "license_name": "bespoke-lora-trained-license", "license_link": "https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialU... | Norod78/but-the-old-gods-are-rising-sdxl | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"migrated",
"horror",
"psychedelic",
"tentacles",
"style",
"old gods",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:other",
"region:us"
] | null | 2024-04-11T08:33:28+00:00 | [] | [] | TAGS
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|
# But the old gods are rising [SDXL]
<Gallery />
(CivitAI)
## Model description
<p>It's just like your regular prompt "<strong>but the old gods are rising</strong>" in addition</p>
## Trigger words
You should use 'but the old gods are rising' to trigger the image generation.
## Download model
Weights fo... | [
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"## Down... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HikariLight/Mistral-UFT-1-5e-05-1-all | null | [
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"endpoints_compatible",
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### 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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | null | Download Tenorshare ReiBoot Crack Latest Version Free
Have you ever found yourself stuck in the endless loop of Apple logo when trying to update or restore your iPhone? Or perhaps your iPad is frozen on the recovery mode screen? Fret not, as ReiBoot Download - iOS System Reboot Software comes to the rescue! In this ar... | {"license": "postgresql"} | Kaka786/DownloadTenorshareReiBootCrackLatestVersionFree | null | [
"license:postgresql",
"region:us"
] | null | 2024-04-11T08:35:08+00:00 | [] | [] | TAGS
#license-postgresql #region-us
| Download Tenorshare ReiBoot Crack Latest Version Free
Have you ever found yourself stuck in the endless loop of Apple logo when trying to update or restore your iPhone? Or perhaps your iPad is frozen on the recovery mode screen? Fret not, as ReiBoot Download - iOS System Reboot Software comes to the rescue! In this ar... | [] | [
"TAGS\n#license-postgresql #region-us \n"
] | [
13
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text-generation | transformers | # Starcoder-base-1B-TACO
## Model Description
Starcoder-base-1B-TACO is a Starcoder-base-1B finetuned(full-parameter) on TACO dataset. This model is specialized to solve competition-level programming tasks.
## Training data
The model is trained on the [Topics in Algorithmic Code Generation Dataset](https://github.c... | {"language": ["en", "code"], "license": "bigcode-openrail-m", "tags": ["starcoder", "code_synthesis", "competition-level_code_generation"], "datasets": ["BAAI/TACO"]} | FlagOpen/starcoderbase-1b-taco | null | [
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"arxiv:2312.14852",
"license:bigcode-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference... | null | 2024-04-11T08:35:58+00:00 | [
"2312.14852"
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| # Starcoder-base-1B-TACO
## Model Description
Starcoder-base-1B-TACO is a Starcoder-base-1B finetuned(full-parameter) on TACO dataset. This model is specialized to solve competition-level programming tasks.
## Training data
The model is trained on the Topics in Algorithmic Code Generation Dataset. The dataset focus... | [
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text-generation | transformers | # Starcoder-15B-TACO
## Model Description
Starcoder-15B-TACO is a Starcoder-15B finetuned(full-parameter) on TACO dataset. This model is specialized to solve competition-level programming tasks.
## Training data
The model is trained on the [Topics in Algorithmic Code Generation Dataset](https://github.com/FlagOpen/... | {"language": ["en", "code"], "license": "bigcode-openrail-m", "tags": ["starcoder", "code_synthesis", "competition-level_code_generation"], "datasets": ["BAAI/TACO"]} | FlagOpen/starcoder-15b-taco | null | [
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"arxiv:2312.14852",
"license:bigcode-openrail-m",
"autotrain_compatible",
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"text-generation-inference... | null | 2024-04-11T08:39:42+00:00 | [
"2312.14852"
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| # Starcoder-15B-TACO
## Model Description
Starcoder-15B-TACO is a Starcoder-15B finetuned(full-parameter) on TACO dataset. This model is specialized to solve competition-level programming tasks.
## Training data
The model is trained on the Topics in Algorithmic Code Generation Dataset. The dataset focused on algori... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | saransh03sharma/mintrec-llama-2-13b-50-1-shot | null | [
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|
# Model Card for Model ID
## Model Details
### 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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whisper-small-ex
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an u... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "openai/whisper-tiny", "model-index": [{"name": "whisper-small-ex", "results": []}]} | Aravindhan0107/whisper-small-ex | null | [
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#transformers #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #base_model-openai/whisper-tiny #license-apache-2.0 #endpoints_compatible #region-us
|
# whisper-small-ex
This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
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text-generation | transformers | # Codegen25-Mono-7B-TACO
## Model Description
Codegen25-Mono-7B-TACO is a Codegen25-Mono-7B finetuned(full-parameter) on TACO dataset. This model is specialized to solve competition-level programming tasks.
## Training data
The model is trained on the [Topics in Algorithmic Code Generation Dataset](https://github.c... | {"language": ["en", "code"], "license": "bigcode-openrail-m", "tags": ["codegen", "code_synthesis", "competition-level_code_generation"], "datasets": ["BAAI/TACO"]} | FlagOpen/codegen25-mono-taco | null | [
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"arxiv:2312.14852",
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"re... | null | 2024-04-11T08:41:56+00:00 | [
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#transformers #pytorch #llama #text-generation #codegen #code_synthesis #competition-level_code_generation #en #code #dataset-BAAI/TACO #arxiv-2312.14852 #license-bigcode-openrail-m #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # Codegen25-Mono-7B-TACO
## Model Description
Codegen25-Mono-7B-TACO is a Codegen25-Mono-7B finetuned(full-parameter) on TACO dataset. This model is specialized to solve competition-level programming tasks.
## Training data
The model is trained on the Topics in Algorithmic Code Generation Dataset. The dataset focus... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mBART-TextSimp-LT-BatchSize4-lr1e-4
This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/faceb... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["rouge", "sacrebleu"], "base_model": "facebook/mbart-large-50", "model-index": [{"name": "mBART-TextSimp-LT-BatchSize4-lr1e-4", "results": []}]} | eglkan1/mBART-TextSimp-LT-BatchSize4-lr1e-4 | null | [
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| mBART-TextSimp-LT-BatchSize4-lr1e-4
===================================
This model is a fine-tuned version of facebook/mbart-large-50 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0810
* Rouge1: 0.8026
* Rouge2: 0.6711
* Rougel: 0.796
* Sacrebleu: 55.7975
* Gen Len: 33.3938... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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text-generation | transformers | # CodeLlama-7b-Python-taco
## Model Description
CodeLlama-7B-Python-TACO is a CodeLlama-7b-Python finetuned(full-parameter) on TACO dataset. This model is specialized to solve competition-level programming tasks.
## Training data
The model is trained on the [Topics in Algorithmic Code Generation Dataset](https://... | {"language": ["en", "code"], "license": "bigcode-openrail-m", "tags": ["codellama", "code_synthesis", "competition-level_code_generation"], "datasets": ["BAAI/TACO"]} | FlagOpen/CodeLlama-7b-Python-taco | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"... | null | 2024-04-11T08:43:06+00:00 | [
"2312.14852"
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"en",
"code"
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| # CodeLlama-7b-Python-taco
## Model Description
CodeLlama-7B-Python-TACO is a CodeLlama-7b-Python finetuned(full-parameter) on TACO dataset. This model is specialized to solve competition-level programming tasks.
## Training data
The model is trained on the Topics in Algorithmic Code Generation Dataset. The datas... | [
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text-classification | transformers |
## Model Description
**distilbert-base-german-cased_cimt-argument** is a fine-tuned DistilBERT model that is built to predict whether a sentence contains an argument. It has been trained to recognize two classes: argumentative (LABEL_1) and non-argumentative (LABEL_0).
Specifically, this model is a *distilbert-base-g... | {"language": ["de"], "license": "cc-by-nc-sa-4.0", "tags": ["public participation", "text classification", "argument mining"]} | juliaromberg/distilbert-base-german-cased_cimt-argument | null | [
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"argument mining",
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"endpoints_compatible",
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] | null | 2024-04-11T08:44:56+00:00 | [] | [
"de"
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#transformers #safetensors #distilbert #text-classification #public participation #text classification #argument mining #de #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #region-us
|
## Model Description
distilbert-base-german-cased_cimt-argument is a fine-tuned DistilBERT model that is built to predict whether a sentence contains an argument. It has been trained to recognize two classes: argumentative (LABEL_1) and non-argumentative (LABEL_0).
Specifically, this model is a *distilbert-base-germa... | [
"## Model Description\ndistilbert-base-german-cased_cimt-argument is a fine-tuned DistilBERT model that is built to predict whether a sentence contains an argument. It has been trained to recognize two classes: argumentative (LABEL_1) and non-argumentative (LABEL_0).\n\nSpecifically, this model is a *distilbert-bas... | [
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null | null |
# DavidAU/StoryTeller-10b-2e-v2-Q6_K-GGUF
This model was converted to GGUF format from [`ImagineIt/StoryTeller-10b-2e-v2`](https://huggingface.co/ImagineIt/StoryTeller-10b-2e-v2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model ca... | {"tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/StoryTeller-10b-2e-v2-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-11T08:46:01+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# DavidAU/StoryTeller-10b-2e-v2-Q6_K-GGUF
This model was converted to GGUF format from 'ImagineIt/StoryTeller-10b-2e-v2' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Se... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# deberta-v3-large-test-ver1
This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/d... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/deberta-v3-large", "model-index": [{"name": "deberta-v3-large-test-ver1", "results": []}]} | obamaTeo/deberta-v3-large-test-ver1 | null | [
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"deberta-v2",
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"base_model:microsoft/deberta-v3-large",
"license:mit",
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| deberta-v3-large-test-ver1
==========================
This model is a fine-tuned version of microsoft/deberta-v3-large on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1156
* Precision: 0.9845
* Recall: 0.9845
* F1: 0.9845
* Accuracy: 0.9845
Model description
-------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 12\n* eval\\_batch\\_size: 12\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
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text-generation | transformers |
# **csg-wukong-1B** [[中文]](#chinese) [[English]](#english)
<a id="english"></a>
<p align="center">
<img width="900px" alt="OpenCSG" src="./csg-wukong-logo-green.jpg">
</p>
<p align="center"><a href="https://portal.opencsg.com/models">[OpenCSG Community]</a> <a href="https://github.com/opencsgs">[git... | {"language": ["en"], "license": "apache-2.0", "tags": ["code"], "pipeline_tag": "text-generation"} | opencsg/csg-wukong-1B | null | [
"transformers",
"pytorch",
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"text-generation",
"code",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-11T08:49:48+00:00 | [] | [
"en"
] | TAGS
#transformers #pytorch #llama #text-generation #code #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# csg-wukong-1B [[中文]](#chinese) [[English]](#english)
<a id="english"></a>
<p align="center">
<img width="900px" alt="OpenCSG" src="./URL">
</p>
<p align="center"><a href="URL Community]</a> <a href="URL <a href="URL <a href="URL </p>
</div>
OpenCSG stands for Converged resources, Software refi... | [
"# csg-wukong-1B [[中文]](#chinese) [[English]](#english)\n\n<a id=\"english\"></a>\n\n<p align=\"center\">\n<img width=\"900px\" alt=\"OpenCSG\" src=\"./URL\">\n</p>\n\n<p align=\"center\"><a href=\"URL Community]</a> <a href=\"URL <a href=\"URL <a href=\"URL </p>\n\n\n</div>\nOpenCSG stands for Conv... | [
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"# csg-wukong-1B [[中文]](#chinese) [[English]](#english)\n\n<a id=\"english\"></a>\n\n<p align=\"center\">\n<img width=\"900px\" alt... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-small-finetuned-xsum
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xsum dataset.
I... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["xsum"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "t5-small-finetuned-xsum", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "xsum", "ty... | KANZOO/t5-small-finetuned-xsum | null | [
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"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"dataset:xsum",
"base_model:t5-small",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
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] | null | 2024-04-11T08:50:34+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #dataset-xsum #base_model-t5-small #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| t5-small-finetuned-xsum
=======================
This model is a fine-tuned version of t5-small on the xsum dataset.
It achieves the following results on the evaluation set:
* Loss: 2.4365
* Rouge1: 28.8744
* Rouge2: 8.1635
* Rougel: 22.8161
* Rougelsum: 22.8028
* Gen Len: 18.8146
Model description
---------------... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/stablelm-24 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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text-generation | transformers |
# mistral-7b-shisa-7b-v1
mistral-7b-shisa-7b-v1 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [ajibawa-2023/Code-Mistral-7B](https://huggingface.co/ajibawa-2023/Code-Mistral-7B)
* [augmxnt/shisa-7b-v1](https://huggingface.co/augmxnt/shisa-7b-v1)
## 🧩 Configuration
```yam... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "ajibawa-2023/Code-Mistral-7B", "augmxnt/shisa-7b-v1"]} | Chayaaaaa/mistral-7b-shisa-7b-v1 | null | [
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|
# mistral-7b-shisa-7b-v1
mistral-7b-shisa-7b-v1 is a merge of the following models using mergekit:
* ajibawa-2023/Code-Mistral-7B
* augmxnt/shisa-7b-v1
## Configuration
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text-generation | transformers | <img src="https://huggingface.co/Vezora/Mistral-22B-v0.1/resolve/main/unsloth.png" width="100" height="150" />
### Mistral-22b-V.01 Release Announcement 🚀
## This model is not an moe, it is infact a 22B parameter dense model!
**Date**: April 11
**Creator** [Nicolas Mejia-Petit](https://twitter.com/mejia_petit)
###... | {"license": "apache-2.0"} | Vezora/Mistral-22B-v0.1 | null | [
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| <img src="URL width="100" height="150" />
### Mistral-22b-V.01 Release Announcement
## This model is not an moe, it is infact a 22B parameter dense model!
Date: April 11
Creator Nicolas Mejia-Petit
### Overview
Just one day after the release of Mixtral-8x-22b, we are excited to introduce our handcrafted experiment... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tomaszki/stablelm-24-b | null | [
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null | null |
# Gemma-rk-master1
The strength of this model is
- Coding
- Poetic
- DPO Trained
## 💻 Usage
```python
!pip install -qU transformers bitsandbytes accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "rabimba/Gemma-rk-master1"
tokenizer = AutoTokenizer.from_pretrained(model)
... | {"license": "apache-2.0", "tags": ["Gemma Sprint", "GDE", "Google Cloud Champions Innovator", "Google Cloud Research Innovator"], "creator": "Rabimba"} | rabimba/Gemma-rk-master1 | null | [
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#Gemma Sprint #GDE #Google Cloud Champions Innovator #Google Cloud Research Innovator #license-apache-2.0 #region-us
|
# Gemma-rk-master1
The strength of this model is
- Coding
- Poetic
- DPO Trained
## Usage
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automatic-speech-recognition | transformers |
# Model Card
- **Developed by:** [Cnam-LMSSC](https://huggingface.co/Cnam-LMSSC)
- **Model type:** [Wav2Vec2ForCTC](https://huggingface.co/transformers/v4.9.2/model_doc/wav2vec2.html#transformers.Wav2Vec2ForCTC)
- **Language:** French
- **License:** MIT
- **Finetuned from model:** [facebook/wav2vec2-base-fr-voxpopul... | {"language": "fr", "license": "mit", "library_name": "transformers", "tags": ["audio", "automatic-speech-recognition", "speech", "phonemize", "phoneme"], "datasets": ["Cnam-LMSSC/vibravox"], "metrics": ["per"], "model-index": [{"name": "Wav2Vec2-base French finetuned for Speech-to-Phoneme by LMSSC", "results": [{"task"... | Cnam-LMSSC/phonemizer_body_conducted.throat.piezoelectric_sensor | null | [
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| Model Card
==========
* Developed by: Cnam-LMSSC
* Model type: Wav2Vec2ForCTC
* Language: French
* License: MIT
* Finetuned from model: facebook/wav2vec2-base-fr-voxpopuli-v2
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text-to-image | diffusers |
# SDXS-512-DreamShaper-Anime
SDXS is a model that can generate high-resolution images in real-time based on prompt texts, trained using score distillation and feature matching.
For more information, please refer to our research paper: [SDXS: Real-Time One-Step Latent Diffusion Models with Image Conditions](https://a... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "stable-diffusion"], "inference": false} | IDKiro/SDXS-512-DreamShaper-Anime | null | [
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|
# SDXS-512-DreamShaper-Anime
SDXS is a model that can generate high-resolution images in real-time based on prompt texts, trained using score distillation and feature matching.
For more information, please refer to our research paper: SDXS: Real-Time One-Step Latent Diffusion Models with Image Conditions.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | enyuan/llama_chat_20100 | null | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# deneme_spor
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following... | {"license": "mit", "tags": ["generated_from_keras_callback"], "base_model": "gpt2", "model-index": [{"name": "deneme_spor", "results": []}]} | denizzhansahin/deneme_spor | null | [
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"region:us"
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| deneme\_spor
============
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 4.9093
* Validation Loss: 5.9538
* Epoch: 149
Model description
-----------------
More information needed
Intended uses & limitations
-------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': {'module': 'transformers.optimization\\_tf', 'class\\_name': 'WarmUp', 'config': {'initial\\_learning\\_rate': 5e-05, 'decay\\_schedule\\_fn': {'module': 'kera... | [
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text-to-image | diffusers |
# Ultraspice API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "ultraspice"
Coding in PH... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/ultraspice | null | [
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"license:creativeml-openrail-m",
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"diffusers:StableDiffusionXLPipeline",
"region:us"
] | null | 2024-04-11T09:02:58+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# Ultraspice API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "ultraspice"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model link: View mod... | [
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null | null |
# DavidAU/Frankenstein-MoE-en-10.7Bx4-Q6_K-GGUF
This model was converted to GGUF format from [`MoEMoEKKung/Frankenstein-MoE-en-10.7Bx4`](https://huggingface.co/MoEMoEKKung/Frankenstein-MoE-en-10.7Bx4) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to ... | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Frankenstein-MoE-en-10.7Bx4-Q6_K-GGUF | null | [
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"region:us"
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#gguf #llama-cpp #gguf-my-repo #en #license-cc-by-nc-sa-4.0 #region-us
|
# DavidAU/Frankenstein-MoE-en-10.7Bx4-Q6_K-GGUF
This model was converted to GGUF format from 'MoEMoEKKung/Frankenstein-MoE-en-10.7Bx4' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CL... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | trl-internal-testing/tiny-random-LlavaForConditionalGeneration | null | [
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|
# Model Card for Model ID
## Model Details
### 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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistralv2-nl-7b-sft-qlora
This model is a fine-tuned version of [alpindale/Mistral-7B-v0.2-hf](https://huggingface.co/alpindale/... | {"library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["vandeju/ultrachat_200k_nl_v1"], "base_model": "alpindale/Mistral-7B-v0.2-hf", "model-index": [{"name": "mistralv2-nl-7b-sft-qlora", "results": []}]} | vandeju/mistralv2-nl-7b-sft-qlora | null | [
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| mistralv2-nl-7b-sft-qlora
=========================
This model is a fine-tuned version of alpindale/Mistral-7B-v0.2-hf on the vandeju/ultrachat\_200k\_nl\_v1 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4078
Model description
-----------------
More information needed
Intended us... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 3\n* eval\\_batch\\_size: 6\n* seed: 42\n* distributed\\_type: multi-GPU\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 6\n* optimizer: Adam wit... | [
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text-generation | transformers | # Mistral Export Test
Just a save of the first checkpoint from a MaxText trained Mistral model. The model is from Checkpoint 0.
Here saved with the standard Mistral tokenizer. | {"language": ["en"], "license": "apache-2.0", "tags": ["pretrained"], "pipeline_tag": "text-generation", "inference": {"parameters": {"temperature": 0.7}}} | pere/mistral-maxtext-export-test | null | [
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Just a save of the first checkpoint from a MaxText trained Mistral model. The model is from Checkpoint 0.
Here saved with the standard Mistral tokenizer. | [
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text-generation | transformers |
AWQ quantized version of codegemma-7b-it model.
---
# CodeGemma
Model Page
: [CodeGemma](https://ai.google.dev/gemma/docs/codegemma)
Resources and Technical Documentation
: [Technical Report](https://goo.gle/codegemma)
: [Responsible Generative AI Toolkit](https://ai.google.dev/responsible)
Terms of Use
: [Terms]... | {"license": "gemma", "library_name": "transformers", "extra_gated_heading": "Access CodeGemma on Hugging Face", "extra_gated_prompt": "To access CodeGemma on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged-in to Hugging Face and click b... | TechxGenus/codegemma-7b-it-AWQ | null | [
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"4-bit",
"region:us"
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#transformers #safetensors #gemma #text-generation #conversational #license-gemma #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| AWQ quantized version of codegemma-7b-it model.
---
CodeGemma
=========
Model Page
: CodeGemma
Resources and Technical Documentation
: Technical Report
: Responsible Generative AI Toolkit
Terms of Use
: Terms
Authors
: Google
Model Information
-----------------
Summary description and brief definition... | [
"### Description\n\n\nCodeGemma is a collection of lightweight open code models built on top of Gemma. CodeGemma models are text-to-text and text-to-code decoder-only models and are available as a 7 billion pretrained variant that specializes in code completion and code generation tasks, a 7 billion parameter instr... | [
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fill-mask | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | larrydai/dummy-model | null | [
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# Model Card for Model ID
## Model Details
### 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.
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- Funded by [optional]:
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- Model type:
- Language(s) (NLP):
- License... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama-7b-chat-50k_50_50
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "llama-7b-chat-50k_50_50", "results": []}]} | Niyantha23M/llama-7b-chat-50k_50_50 | null | [
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"trl",
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|
# llama-7b-chat-50k_50_50
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# flan-t5-base-finetuned
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) o... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/flan-t5-base", "model-index": [{"name": "flan-t5-base-finetuned", "results": []}]} | wahid028/flan-t5-base-finetuned | null | [
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| flan-t5-base-finetuned
======================
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3234
* Rouge1: 0.3467
* Rouge2: 0.2667
* Rougel: 0.3179
* Rougelsum: 0.3263
Model description
-----------------
More i... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small En - Benedek Borbely
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whi... | {"language": ["hu"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-tiny", "model-index": [{"name": "Whisper Small En - Benedek Borbely", "results": [{"task": {"type": "automatic-speech-recognition", "n... | abbenedek/whisper-tiny-hu | null | [
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| Whisper Small En - Benedek Borbely
==================================
This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8894
* Wer: 71.2273
Model description
-----------------
More information needed
I... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama-7b-chat-100k_50_50
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama... | {"tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "llama-7b-chat-100k_50_50", "results": []}]} | Niyantha23M/llama-7b-chat-100k_50_50 | null | [
"trl",
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"dataset:generator",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"region:us"
] | null | 2024-04-11T09:15:57+00:00 | [] | [] | TAGS
#trl #sft #generated_from_trainer #dataset-generator #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
|
# llama-7b-chat-100k_50_50
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Train... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama-7b-chat-50k_65_35
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "llama-7b-chat-50k_65_35", "results": []}]} | Niyantha23M/llama-7b-chat-50k_65_35 | null | [
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|
# llama-7b-chat-50k_65_35
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | lukintrees/llama2_loli_finetuned | null | [
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#peft #region-us
| ## Training procedure
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- load_in_4bit: True
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- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
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- bnb_4bit_quant_type: nf4
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [BioMistral/BioMistral-7B](https://huggingfa... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["BioMistral/BioMistral-7B", "CorticalStack/pastiche-crown-clown-7b-dare-dpo"]} | sudhir2016/BioMistral_Merge_Test | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* BioMistral/BioMistral-7B
* CorticalStack/pastiche-crown-clown-7b-dare-dpo
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# models
This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
## Model description
More inform... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "models", "results": []}]} | 4tykhonov/models | null | [
"generated_from_trainer",
"region:us"
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#generated_from_trainer #region-us
|
# models
This model is a fine-tuned version of [](URL on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparame... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Gordon119/TAT_TD-openai-whisper-large-v2-mix-with-zh-TAT-epoch1-total5epoch | null | [
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### 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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mBART-TextSimp-LT-BatchSize4-lr5e-5
This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/faceb... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["rouge", "sacrebleu"], "base_model": "facebook/mbart-large-50", "model-index": [{"name": "mBART-TextSimp-LT-BatchSize4-lr5e-5", "results": []}]} | eglkan1/mBART-TextSimp-LT-BatchSize4-lr5e-5 | null | [
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| mBART-TextSimp-LT-BatchSize4-lr5e-5
===================================
This model is a fine-tuned version of facebook/mbart-large-50 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0720
* Rouge1: 0.7898
* Rouge2: 0.643
* Rougel: 0.783
* Sacrebleu: 57.6148
* Gen Len: 33.6014
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama-7b-chat-100k_35_65
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "llama-7b-chat-100k_35_65", "results": []}]} | Niyantha23M/llama-7b-chat-100k_35_65 | null | [
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|
# llama-7b-chat-100k_35_65
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Train... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [tomaszki/stablelm-23](https://huggingface.c... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["tomaszki/stablelm-23", "tomaszki/stablelm-24-a"]} | Sumail/Barista57 | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* tomaszki/stablelm-23
* tomaszki/stablelm-24-a
### Configuration
The following Y... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0uncle0/uncle06 | null | [
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# Model Card for Model ID
## Model Details
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text-generation | transformers | # cognitivecomputations/dolphin-2.8-mistral-7b-v02 🐬 AWQ GEMV
64 GroupSize - GEMV optimized for shorter context.
For the standard AWQ 128gs GEMM, see [solidrust/dolphin-2.8-mistral-7b-v02-AWQ](https://huggingface.co/solidrust/dolphin-2.8-mistral-7b-v02-AWQ).
- Model creator: [cognitivecomputations](https://huggingf... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["generated_from_trainer", "quantized", "4-bit", "AWQ", "autotrain_compatible", "endpoints_compatible", "text-generation-inference", "chatml"], "datasets": ["cognitivecomputations/dolphin", "cognitivecomputations/dolphin-coder", "cogn... | solidrust/dolphin-2.8-mistral-7b-v02-AWQ-gemv-64gs | null | [
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64 GroupSize - GEMV optimized for shorter context.
For the standard AWQ 128gs GEMM, see solidrust/dolphin-2.8-mistral-7b-v02-AWQ.
- Model creator: cognitivecomputations
- Original model: dolphin-2.8-mistral-7b-v02
<img src="URL width="600" />
## Model Su... | [
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
Dataset used: codeparrot/xlcost-text-to-code
github: https://github.com/manishzed/LLM-Fine-tune
# Usage
```python
from transformers import AutoModelForCausalLM, Au... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | kr-manish/Mistral-7B-autotrain-text-python-vf1 | null | [
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#transformers #safetensors #mistral #text-generation #autotrain #text-generation-inference #peft #conversational #license-other #autotrain_compatible #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
Dataset used: codeparrot/xlcost-text-to-code
github: URL
# Usage
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0uncle0/uncle07 | null | [
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# Model Card for Model ID
## Model Details
### 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.
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- Funded by [optional]:
- Shared by [optional]:
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_new_model
This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squ... | {"license": "cc-by-4.0", "tags": ["generated_from_trainer"], "base_model": "deepset/roberta-base-squad2", "model-index": [{"name": "my_new_model", "results": []}]} | steffipriyanka/my_new_model | null | [
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|
# my_new_model
This model is a fine-tuned version of deepset/roberta-base-squad2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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text-generation | transformers |
ChartLlama is trained on our proposed dataset, based on LLaVA-1.5.
You can first download the Lora weights and then combine them using your local LLaVA-1.5 scripts. | {"language": ["en"], "license": "apache-2.0", "datasets": ["listen2you002/ChartLlama-Dataset"]} | ggiret-thinkdeep/ChartLlama-13b | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HikariLight/Mistral-SUFT-1-5e-05-1-all | null | [
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|
# Model Card for Model ID
## Model Details
### 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.
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- Funded by [optional]:
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text-generation | transformers |
GPTQ quantized version of codegemma-7b-it model.
---
# CodeGemma
Model Page
: [CodeGemma](https://ai.google.dev/gemma/docs/codegemma)
Resources and Technical Documentation
: [Technical Report](https://goo.gle/codegemma)
: [Responsible Generative AI Toolkit](https://ai.google.dev/responsible)
Terms of Use
: [Terms... | {"license": "gemma", "library_name": "transformers", "extra_gated_heading": "Access CodeGemma on Hugging Face", "extra_gated_prompt": "To access CodeGemma on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged-in to Hugging Face and click b... | TechxGenus/codegemma-7b-it-GPTQ | null | [
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| GPTQ quantized version of codegemma-7b-it model.
---
CodeGemma
=========
Model Page
: CodeGemma
Resources and Technical Documentation
: Technical Report
: Responsible Generative AI Toolkit
Terms of Use
: Terms
Authors
: Google
Model Information
-----------------
Summary description and brief definitio... | [
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null | null |
# DavidAU/Frankenstein-MoE-en-10.7Bx6-Q5_K_S-GGUF
This model was converted to GGUF format from [`MoEMoEKKung/Frankenstein-MoE-en-10.7Bx6`](https://huggingface.co/MoEMoEKKung/Frankenstein-MoE-en-10.7Bx6) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer t... | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Frankenstein-MoE-en-10.7Bx6-Q5_K_S-GGUF | null | [
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|
# DavidAU/Frankenstein-MoE-en-10.7Bx6-Q5_K_S-GGUF
This model was converted to GGUF format from 'MoEMoEKKung/Frankenstein-MoE-en-10.7Bx6' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the ... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gpt2_Finetuned-finetuned
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) o... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google-t5/t5-small", "model-index": [{"name": "gpt2_Finetuned-finetuned", "results": []}]} | elinaparajuli/gpt2_Finetuned-finetuned | null | [
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| gpt2\_Finetuned-finetuned
=========================
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1163
Model description
-----------------
More information needed
Intended uses & limitations
------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
"### Traini... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | iPenx/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-11T09:45:49+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
model = load_from_hub(repo_id="patricktiu1205/q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env =... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.54 +/... | patricktiu1205/q-Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-11T09:47:40+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
model = load_from_hub(repo_id="patricktiu1205/q-Taxi-v3", filename="URL")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env = URL(model["env_id"])
| [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# adress_parser_model_2
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-unc... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "adress_parser_model_2", "results": []}]} | ManuelMM/adress_parser_model_2 | null | [
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| adress\_parser\_model\_2
========================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4273
* Precision: 0.8894
* Recall: 0.9201
* F1: 0.9045
* Accuracy: 0.8835
Model description
-----------------
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-7b-chat-hf"} | VH1213141516/LAT_4-10sweep2_pgd_layers_31_epsilon_22_time_limit_30000_N_checkpoints_50 | null | [
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# Model Card for Model ID
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### Model Sources [optional]
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-7b-chat-hf"} | VH1213141516/LAT_4-10sweep2_pgd_layers_26_epsilon_10_time_limit_30000_N_checkpoints_50 | null | [
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"safetensors",
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#peft #safetensors #arxiv-1910.09700 #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
|
# Model Card for Model ID
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### Model Description
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# output
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-h... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "output", "results": []}]} | wenshicheng97/output | null | [
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|
# output
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-7b-chat-hf"} | VH1213141516/LAT_4-10sweep2_pgd_layers_8_epsilon_1.3_time_limit_30000_N_checkpoints_50 | null | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-7b-chat-hf"} | VH1213141516/LAT_4-10sweep2_pgd_layers_16_epsilon_4_time_limit_30000_N_checkpoints_50 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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text-classification | transformers |
## Model Description
**distilbert-base-german-cased_cimt-argument-type** is a fine-tuned DistilBERT model that is built to predict the type of an argumentative sentence. It has been trained to recognize two classes: major position (LABEL_1) and premise (LABEL_0).
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## Model Description
distilbert-base-german-cased_cimt-argument-type is a fine-tuned DistilBERT model that is built to predict the type of an argumentative sentence. It has been trained to recognize two classes: major position (LABEL_1) and premise (LABEL_0).
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