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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/anik424/OpenHermes-2.5-Mistral-7B_toxic-removed-dpo-v0.2
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at t... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "anik424/OpenHermes-2.5-Mistral-7B_toxic-removed-dpo-v0.2", "quantized_by": "mradermacher"} | mradermacher/OpenHermes-2.5-Mistral-7B_toxic-removed-dpo-v0.2-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:anik424/OpenHermes-2.5-Mistral-7B_toxic-removed-dpo-v0.2",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-19T11:15:26+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-anik424/OpenHermes-2.5-Mistral-7B_toxic-removed-dpo-v0.2 #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
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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] |
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": []} | TwentyNine/byt5-ain-kana-latin-converter-v1 | null | [
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"text2text-generation",
"arxiv:1910.09700",
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"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
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"1910.09700"
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#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #has_space #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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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-chatbot-stress
This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "FacebookAI/roberta-base", "model-index": [{"name": "roberta-chatbot-stress", "results": []}]} | reecursion/stress-RoBERTa | null | [
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| roberta-chatbot-stress
======================
This model is a fine-tuned version of FacebookAI/roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9676
* Accuracy: 0.8275
Model description
-----------------
More information needed
Intended uses & limitations
--... | [
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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": []} | jorgefg03/deberta-v3-base-autext | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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null | null |
# Multiverseex26Meliodaspercival_01_experiment26t3q-7B
Multiverseex26Meliodaspercival_01_experiment26t3q-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [allknowingroger/MultiverseEx26-7B-slerp](https://huggingface.co/allknowingroger/Multivers... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["allknowingroger/MultiverseEx26-7B-slerp", "MaziyarPanahi/MeliodasPercival_01_Experiment26T3q"]} | automerger/Multiverseex26Meliodaspercival_01_experiment26t3q-7B | null | [
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|
# Multiverseex26Meliodaspercival_01_experiment26t3q-7B
Multiverseex26Meliodaspercival_01_experiment26t3q-7B is an automated merge created by Maxime Labonne using the following configuration.
* allknowingroger/MultiverseEx26-7B-slerp
* MaziyarPanahi/MeliodasPercival_01_Experiment26T3q
## Configuration
## Usage
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text-generation | transformers | # Meta-Llama-Guard-2-8B - bnb 4bit
- Model creator: [Meta](https://huggingface.co/meta-llama)
- Original model: [Meta-Llama-Guard-2-8B](https://huggingface.co/meta-llama/Meta-Llama-Guard-2-8B)
## Description
This model is 4bit quantized version of [Meta-Llama-Guard-2-8B](https://huggingface.co/meta-llama/Meta-Llama-G... | {"license": "other", "tags": ["llama", "llama-3"], "model_name": "Meta-Llama-Guard-2-8B", "base_model": "meta-llama/Meta-Llama-Guard-2-8B", "license_name": "llama3", "license_link": "https://huggingface.co/meta-llama/Meta-Llama-Guard-2-8B/raw/main/LICENSE", "inference": false, "model_creator": "Meta", "quantized_by": "... | leliuga/Meta-Llama-Guard-2-8B-bnb-4bit | null | [
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"autotrain_compatible",
"text-generation-inference",
"4-bit",
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| # Meta-Llama-Guard-2-8B - bnb 4bit
- Model creator: Meta
- Original model: Meta-Llama-Guard-2-8B
## Description
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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": []} | Sajjo/w2v-bert-2.0-tamil-gpu-custom_v8 | null | [
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text-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. -->
# Llama-360M
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following re... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "Llama-360M", "results": []}]} | ninagroot/Llama-360M-ORIGINAL | null | [
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| Llama-360M
==========
This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 8.2783
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Trai... | [
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image-feature-extraction | diffusers |
This is just a renamed copy of the original controlnet https://huggingface.co/TTPlanet/TTPLanet_SDXL_Controlnet_Tile_Realistic (V2) that works out of the box with diffusers in fp16 mode.
```py
controlnet = ControlNetModel.from_pretrained(
"Yakonrus/SDXL_Controlnet_Tile_Realistic_v2", torch_dtype=torch.float16, va... | {"license": "openrail", "library_name": "diffusers", "tags": ["Controlnet", "Tile", "stable diffustion"], "pipeline_tag": "image-feature-extraction"} | Yakonrus/SDXL_Controlnet_Tile_Realistic_v2 | null | [
"diffusers",
"Controlnet",
"Tile",
"stable diffustion",
"image-feature-extraction",
"license:openrail",
"region:us"
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#diffusers #Controlnet #Tile #stable diffustion #image-feature-extraction #license-openrail #region-us
|
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fill-mask | 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. -->
# distilroberta_trainedOnCACatalogue
This model is a fine-tuned version of [TheophileCA/distilroberta_trainedOnCACatalogue](https://hugg... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "TheophileCA/distilroberta_trainedOnCACatalogue", "model-index": [{"name": "distilroberta_trainedOnCACatalogue", "results": []}]} | TheophileCA/distilroberta_trainedOnCACatalogue | null | [
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| distilroberta\_trainedOnCACatalogue
===================================
This model is a fine-tuned version of TheophileCA/distilroberta\_trainedOnCACatalogue on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 1.1564
* Validation Loss: 1.1547
* Epoch: 14
Model description... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': 2e-05, 'decay': 0.0, 'beta\\_1': 0.9, 'beta\\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\\_decay\\_rate': 0.01}\n* training\\_precision: float32",
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text-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. -->
# GPT2-705M
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following res... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "GPT2-705M", "results": []}]} | ninagroot/GPT2-705M-ORIGINAL | null | [
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#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| GPT2-705M
=========
This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 6.9071
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Traini... | [
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text-generation | transformers |
# Lamma3merge3-15B-MoE
Lamma3merge3-15B-MoE is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Malikeh1375/llama-3-base-instruct-slerp](https://huggingface.co/Malikeh1375/llama-3-base-instruct-sle... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "Malikeh1375/llama-3-base-instruct-slerp", "orpo-explorers/hf-llama3-8b-orpo-v0.0"], "base_model": ["Malikeh1375/llama-3-base-instruct-slerp", "orpo-explorers/hf-llama3-8b-orpo-v0.0"]} | allknowingroger/Lamma3merge3-15B-MoE | null | [
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"conversational",
"base_model:Malikeh1375/llama-3-base-instruct-slerp",
"base_model:orp... | null | 2024-04-19T11:29:02+00:00 | [] | [] | TAGS
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# Lamma3merge3-15B-MoE
Lamma3merge3-15B-MoE is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* Malikeh1375/llama-3-base-instruct-slerp
* orpo-explorers/hf-llama3-8b-orpo-v0.0
## Configuration
## Usage
| [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/irthpe/OpenHermes-2.5-Mistral-7B-toxic
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they ... | {"language": ["en"], "license": "mit", "library_name": "transformers", "base_model": "irthpe/OpenHermes-2.5-Mistral-7B-toxic", "quantized_by": "mradermacher"} | mradermacher/OpenHermes-2.5-Mistral-7B-toxic-GGUF | null | [
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"en"
] | TAGS
#transformers #gguf #en #base_model-irthpe/OpenHermes-2.5-Mistral-7B-toxic #license-mit #endpoints_compatible #region-us
| About
-----
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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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": []} | MohammadOthman/Mistral-7B-Dolly-15K | null | [
"transformers",
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"arxiv:1910.09700",
"endpoints_compatible",
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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 | transformers |
# itayl/Hebrew-Gemma-11B-Instruct-Q4_K_M-GGUF
This model was converted to GGUF format from [`yam-peleg/Hebrew-Gemma-11B-Instruct`](https://huggingface.co/yam-peleg/Hebrew-Gemma-11B-Instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [origi... | {"language": ["en", "he"], "license": "other", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "license_name": "gemma-terms-of-use", "license_link": "https://ai.google.dev/gemma/terms"} | itayl/Hebrew-Gemma-11B-Instruct-Q4_K_M-GGUF | null | [
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#transformers #gguf #llama-cpp #gguf-my-repo #en #he #license-other #endpoints_compatible #region-us
|
# itayl/Hebrew-Gemma-11B-Instruct-Q4_K_M-GGUF
This model was converted to GGUF format from 'yam-peleg/Hebrew-Gemma-11B-Instruct' 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.
CL... | [
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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": []} | HachiML/Swallow-MS-7b-v0.1-ChatSkill-LAB-Evo-v0.9 | null | [
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"arxiv:1910.09700",
"autotrain_compatible",
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#transformers #safetensors #mistral #text-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.
- 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/mlabonne/Llama-3-DARE-8B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": "mlabonne/Llama-3-DARE-8B", "quantized_by": "mradermacher"} | mradermacher/Llama-3-DARE-8B-GGUF | null | [
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"en",
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"en"
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#transformers #gguf #merge #mergekit #lazymergekit #en #base_model-mlabonne/Llama-3-DARE-8B #license-other #endpoints_compatible #region-us
| About
-----
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... | [] | [
"TAGS\n#transformers #gguf #merge #mergekit #lazymergekit #en #base_model-mlabonne/Llama-3-DARE-8B #license-other #endpoints_compatible #region-us \n"
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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).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | abhishek/autotrain-llama3-8b-open-hermes-sft | null | [
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"llama",
"text-generation",
"autotrain",
"text-generation-inference",
"conversational",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-19T11:38:35+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #autotrain #text-generation-inference #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.
# Usage
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] |
text-generation | transformers | # [MaziyarPanahi/Llama-3-13B-Instruct-v0.1-GGUF](https://huggingface.co/MaziyarPanahi/Llama-3-13B-Instruct-v0.1-GGUF)
- Model creator: [MaziyarPanahi](https://huggingface.co/MaziyarPanahi)
- Original model: [MaziyarPanahi/Llama-3-13B-Instruct-v0.1](https://huggingface.co/MaziyarPanahi/Llama-3-13B-Instruct-v0.1)
## Des... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "text-generation", "mixtral", "text-generation"], "model_name": "Llama-3-13B-Instruct-v0.1-GGUF", "base_model": "MaziyarPanahi/Llama-3-13B-Instruct-v0.1", "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-gene... | MaziyarPanahi/Llama-3-13B-Instruct-v0.1-GGUF | null | [
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| # MaziyarPanahi/Llama-3-13B-Instruct-v0.1-GGUF
- Model creator: MaziyarPanahi
- Original model: MaziyarPanahi/Llama-3-13B-Instruct-v0.1
## Description
MaziyarPanahi/Llama-3-13B-Instruct-v0.1-GGUF contains GGUF format model files for MaziyarPanahi/Llama-3-13B-Instruct-v0.1.
## Load GGUF models
You 'MUST' follow the ... | [
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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. -->
# emotion-analysis-ntnu
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "emotion-analysis-ntnu", "results": []}]} | erlend123/emotion-analysis-binary-trans | null | [
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|
# emotion-analysis-ntnu
This model was trained from scratch 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
The following hyp... | [
"# emotion-analysis-ntnu\n\nThis model was trained from scratch on an unknown dataset.",
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"## Training and evaluation data\n\nMore information needed",
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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 - Denis Musinguzi
This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whis... | {"language": ["sw"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_14_0"], "metrics": ["wer"], "base_model": "openai/whisper-large", "model-index": [{"name": "Whisper small - Denis Musinguzi", "results": [{"task": {"type": "automatic-sp... | dmusingu/WHISPER-SMALL-SWAHILI-ASR-CV-14 | null | [
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"base_model:openai/whisper-large",
"license:apache-2.0",
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"endpoints_compatible",
"region:us"
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| Whisper small - Denis Musinguzi
===============================
This model is a fine-tuned version of openai/whisper-large on the Common Voice 14.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4428
* Wer: 0.2513
* Cer: 0.0983
Model description
-----------------
More information ne... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\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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text-generation | transformers | ### Llama3-OGSQL-8B
### Model Description
Llama3-OGSQL-8B was fine-tuned on the most recent and state of the art models (LLAMA 3) for the task of converting natural language text into SQL queries.... | {"license": "cc-by-4.0", "library_name": "transformers", "tags": ["Text-to-sql"]} | OneGate/Llama3-OGSQL-FT-8B | null | [
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#transformers #safetensors #llama #text-generation #Text-to-sql #conversational #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| ### Llama3-OGSQL-8B
!image/png
### Model Description
Llama3-OGSQL-8B was fine-tuned on the most recent and state of the art models (LLAMA 3) for the task of converting natural language text into SQL queries.
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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": ["unsloth"]} | AKash97/lora_model | null | [
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#transformers #safetensors #unsloth #arxiv-1910.09700 #endpoints_compatible #region-us
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# Model Card for Model ID
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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 |
# 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": "mistralai/Mistral-7B-Instruct-v0.2"} | Anshulmango/Mistral_7B_0.2_Chat_finetuned_DS_v5 | null | [
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|
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### Model Sources [optional]
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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. -->
# turkishReviews-ds-mini
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves th... | {"license": "mit", "tags": ["generated_from_keras_callback"], "base_model": "gpt2", "model-index": [{"name": "turkishReviews-ds-mini", "results": []}]} | 13bluecity/turkishReviews-ds-mini | null | [
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#transformers #tf #gpt2 #text-generation #generated_from_keras_callback #base_model-gpt2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| turkishReviews-ds-mini
======================
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 2.4482
* Validation Loss: 2.3327
* Epoch: 2
Model description
-----------------
More information needed
Intended uses & limitat... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'inner\\_optimizer': {'module': 'transformers.optimization\\_tf', 'class\\_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning\\_rate': {'module': 'transformers.optimization\\_tf', 'c... | [
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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... | bhutchings/ppo-LunarLander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
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#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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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/TroyDoesAI/Mermaid-Solar
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up... | {"language": ["en"], "license": "cc-by-4.0", "library_name": "transformers", "base_model": "TroyDoesAI/Mermaid-Solar", "quantized_by": "mradermacher"} | mradermacher/Mermaid-Solar-GGUF | null | [
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"en",
"base_model:TroyDoesAI/Mermaid-Solar",
"license:cc-by-4.0",
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"en"
] | TAGS
#transformers #gguf #en #base_model-TroyDoesAI/Mermaid-Solar #license-cc-by-4.0 #endpoints_compatible #region-us
| About
-----
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-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"} | Niggendar/rsmpornxlEmbraceTheSuck_v081Beta | null | [
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null | null | ### Inference Code
```Python
import numpy as np
import pickle
from keras.preprocessing.sequence import pad_sequences
from keras.models import load_model
def predict_word(seed_text: str, tokenizer, model, next_words: int = 2) -> str:
for _ in range(next_words):
token_list = tokenizer.texts_to_sequences([see... | {"license": "apache-2.0"} | sleeping4cat/Tensorflow-next-word-predictor | null | [
"license:apache-2.0",
"region:us"
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null | transformers |
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<!-- 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": []} | ABHISHEKMONU2001/llama7b_finetunning_19_April_2000 | null | [
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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. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "apache-2.0", "library_name": "peft", "tags": ["axolotl", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral-of-Realms-7b-Instruct", "results": []}]} | Akila/Mistral-of-Realms-7b-Instruct | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
Mistral-of-Realms-7b-Instruct
=============================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset.
It achieves the following results on the evalua... | [
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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": []} | OwOOwO/dumbo-krillin101 | 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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null | transformers | 
# VerwaltungsAnthologie Disco 7B - GGUF
- Model creator: [MarcGrumpyOlejak](https://huggingface.co/MarcGrumpyOlejak)
- Original model: [VerwaltungsAnthologie Disco 7B](https://huggingface.co/MarcGrumpyOlejak/VerwaltungsAnthologie_Disco_7B)
This repo contains GGUF format model files fo... | {"language": ["de", "en"], "license": "apache-2.0", "tags": ["Mistral", "merge", "German", "Deutsch"], "base_model": "MarcGrumpyOlejak/VerwaltungsAnthologie_Disco_7B", "inference": false, "model_creator": "MarcGrumpyOlejak", "model_type": "mistral", "quantized_by": "MarcGrumpyOlejak", "model-index": [{"name": "Verwaltu... | MarcGrumpyOlejak/VerwaltungsAnthologie_Disco_7B_GGUF | null | [
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| !VA Logo
# VerwaltungsAnthologie Disco 7B - GGUF
- Model creator: MarcGrumpyOlejak
- Original model: VerwaltungsAnthologie Disco 7B
This repo contains GGUF format model files for VerwaltungsAnthologie Disco 7B.
I do prefer the Q6-quantized version for daily use.
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null | peft |
## Parameters
```
batch_size: 1
data_parameters:
- dataset_config:
input_features:
- NEWSROOM
- ARTICLE_TITLE
- ARTICLE_TEXT_ALL
shuffle_input_features: false
shuffle_trainable_features: false
trainable_features:
- SUMMARY
trunc_feature: ARTICLE_TEXT_ALL
dataset_directory: data/ar... | {"library_name": "peft", "base_model": "mistralai/Mixtral-8x7B-v0.1"} | sch-ai/article2summary-mistralaiMixtral-8x7B-v01-William | null | [
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#peft #tensorboard #safetensors #base_model-mistralai/Mixtral-8x7B-v0.1 #region-us
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## Parameters
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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. -->
# bart-base
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown da... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall"], "base_model": "facebook/bart-base", "model-index": [{"name": "bart-base", "results": []}]} | xshubhamx/bart-base | null | [
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| bart-base
=========
This model is a fine-tuned version of facebook/bart-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7146
* Accuracy: 0.8180
* Precision: 0.8189
* Recall: 0.8180
* Precision Macro: 0.7608
* Recall Macro: 0.7799
* Macro Fpr: 0.0157
* Weighted Fpr: 0.0... | [
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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... | Woutervdbos/ppo-LunarLander-v2 | null | [
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|
# 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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null | null | Users can export EML files into Office 365 formats using the ToolsBaer EML to Office 365 Migrator Software. Programs that convert EML to Office 365 can easily handle EML files of any size or quality. Throughout the conversion process, there is no loss of data or damage to the original files. This program can be utilize... | {} | madelineoliver/ToolsBaer-EML-to-Office-365-Importer | null | [
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#region-us
| Users can export EML files into Office 365 formats using the ToolsBaer EML to Office 365 Migrator Software. Programs that convert EML to Office 365 can easily handle EML files of any size or quality. Throughout the conversion process, there is no loss of data or damage to the original files. This program can be utilize... | [] | [
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null | transformers |
# Uploaded model
- **Developed by:** AKash97
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama 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/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | AKash97/llama_3_finetuned | null | [
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|
# Uploaded model
- Developed by: AKash97
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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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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": []} | hotsuyuki/gpt_1.3B_global_step200 | null | [
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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 CostumData_new
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-... | {"language": ["fa"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/CostumData_new"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small CostumData_new", "results": []}]} | ali9132/CostumData_new | null | [
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|
# Whisper Small CostumData_new
This model is a fine-tuned version of openai/whisper-small on the CostumData_new dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.2603
- eval_wer: 28.9730
- eval_runtime: 3297.5897
- eval_samples_per_second: 1.931
- eval_steps_per_second: 0.241
- epoch:... | [
"# Whisper Small CostumData_new\n\nThis model is a fine-tuned version of openai/whisper-small on the CostumData_new dataset.\nIt achieves the following results on the evaluation set:\n- eval_loss: 0.2603\n- eval_wer: 28.9730\n- eval_runtime: 3297.5897\n- eval_samples_per_second: 1.931\n- eval_steps_per_second: 0.24... | [
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text-generation | transformers |
# Model Card for Minerva-350M-base-v1.0
Minerva is the first family of **truly-open (data and model) Italian-English LLMs pretrained from scratch** developed by [Sapienza NLP](https://nlp.uniroma1.it)
in collaboration with [Future Artificial Intelligence Research (FAIR)](https://fondazione-fair.it/) and [CINECA](https... | {"language": ["it", "en"], "license": "apache-2.0", "tags": ["pretrained"], "datasets": ["uonlp/CulturaX"], "pipeline_tag": "text-generation", "widget": [{"text": "La capitale dell'Italia \u00e8 ", "example_title": "Example 1"}, {"text": "Nel mezzo del cammin di nostra vita ", "example_title": "Example 2"}, {"text": "U... | sapienzanlp/Minerva-350M-base-v1.0 | null | [
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| Model Card for Minerva-350M-base-v1.0
=====================================
Minerva is the first family of truly-open (data and model) Italian-English LLMs pretrained from scratch developed by Sapienza NLP
in collaboration with Future Artificial Intelligence Research (FAIR) and CINECA.
Notably, approximately half of ... | [
"### Special thanks for their support\n\n\n* Giuseppe Fiameni, Nvidia\n* Sergio Orlandini, CINECA\n\n\nAcknowledgments\n---------------\n\n\nThis work was funded by the PNRR MUR project PE0000013-FAIR.\nWe acknowledge the CINECA award \"IscB\\_medit\" under the ISCRA initiative, for the availability of high perform... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Muhammad2003/Llama3-8B-OpenHermes-DPO
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they d... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["DPO", "Llama3-8B"], "datasets": "mlabonne/chatml-OpenHermes2.5-dpo-binarized-alpha", "base_model": "Muhammad2003/Llama3-8B-OpenHermes-DPO", "quantized_by": "mradermacher"} | mradermacher/Llama3-8B-OpenHermes-DPO-GGUF | null | [
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| About
-----
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 |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | blockblockblock/Meta-Llama-3-70B-Instruct-hf-bpw2.5 | null | [
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| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository.\n\n\nTo download Original checkpoints, see the example command below leveraging 'huggingface-cli':\n\n\nFor Hugging Face support, we recommend using t... | [
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automatic-speech-recognition | null | fix to have pipeline_animatediff_controlnet working correctly with IPAdapter
https://github.com/huggingface/diffusers/pull/7413 | {"language": ["en"], "tags": ["animatediff", "controlnet", "IPAdapter"], "pipeline_tag": "automatic-speech-recognition"} | luluxxx/test | null | [
"animatediff",
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#animatediff #controlnet #IPAdapter #automatic-speech-recognition #en #region-us
| fix to have pipeline_animatediff_controlnet working correctly with IPAdapter
URL | [] | [
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text-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. -->
# 0.0_ablation_1e7lr_4iters_iter_4
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_1e7lr_4iters_iter_3](https://hu... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_ablation_1e7lr_4iters_dataset"], "base_model": "ZhangShenao/0.0_ablation_1e7lr_4iters_iter_3", "model-index": [{"name": "0.0_ablation_1e7lr_4iters_iter_4", "results": []}]} | ZhangShenao/0.0_ablation_1e7lr_4iters_iter_4 | null | [
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"autotrain_compatibl... | null | 2024-04-19T12:25:59+00:00 | [] | [] | TAGS
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# 0.0_ablation_1e7lr_4iters_iter_4
This model is a fine-tuned version of ZhangShenao/0.0_ablation_1e7lr_4iters_iter_3 on the ZhangShenao/0.0_ablation_1e7lr_4iters_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data... | [
"# 0.0_ablation_1e7lr_4iters_iter_4\n\nThis model is a fine-tuned version of ZhangShenao/0.0_ablation_1e7lr_4iters_iter_3 on the ZhangShenao/0.0_ablation_1e7lr_4iters_dataset dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training... | [
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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": []} | Grayx/sad_pepe_24.0 | 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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- Shared by [optional]:
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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": []} | aamonten/gemma-2b-danish-chatml | null | [
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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": []} | OwOOwO/dumbo-krillin102 | 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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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | UXAIR/SpaceInvadersNoFrameskipv4 | null | [
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|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
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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. -->
# hellaswag_dora_llama
This model is a fine-tuned version of [yahma/llama-7b-hf](https://huggingface.co/yahma/llama-7b-hf) on an u... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "yahma/llama-7b-hf", "model-index": [{"name": "hellaswag_dora_llama", "results": []}]} | fangzhaoz/hellaswag_dora_llama | null | [
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"safetensors",
"generated_from_trainer",
"base_model:yahma/llama-7b-hf",
"license:other",
"region:us"
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#peft #safetensors #generated_from_trainer #base_model-yahma/llama-7b-hf #license-other #region-us
|
# hellaswag_dora_llama
This model is a fine-tuned version of yahma/llama-7b-hf 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-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": []} | fangzhaoz/hellaswag_dora_llama_merged | 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-generation | transformers |
# Uploaded model
- **Developed by:** weege007
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama 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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | weege007/llama-3-8b-bnb-4bit-alpaca-merged-16bit | null | [
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# Uploaded model
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<img src="URL width="200"/>
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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"]} | DaniElAbrazos/ppo-Huggy | null | [
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#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... | [
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null | null |
3-bit [OmniQuant](https://arxiv.org/abs/2308.13137) quantized version of [Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct).
| {"license": "other", "license_name": "llama3", "license_link": "LICENSE"} | numen-tech/Meta-Llama-3-8B-Instruct-w3a16g40sym | null | [
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3-bit OmniQuant quantized version of Meta-Llama-3-8B-Instruct.
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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. -->
# wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod15
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](h... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_13_0"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-xls-r-300m", "model-index": [{"name": "wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod15", "results": [{"task": {"type": "automatic-speech-recognition", "name": "... | EzraWilliam/wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod15 | null | [
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| wav2vec2-xlsr-53-CV-demo-google-colab-Ezra\_William\_Prod15
===========================================================
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common\_voice\_13\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3344
* Wer: 0.2990
Mode... | [
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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 Sr Yodas
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small)... | {"language": ["sr"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["espnet/yodas"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Sr Yodas", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition... | Sagicc/whisper-base-sr-yodas | null | [
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| Whisper Small Sr Yodas
======================
This model is a fine-tuned version of openai/whisper-small on the Yodas dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2688
* Wer Ortho: 0.3334
* Wer: 0.2450
Model description
-----------------
More information needed
Intended uses & l... | [
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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": []} | Lancelot53/rna-tokenizer-v3-4096 | null | [
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"arxiv:1910.09700",
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"region:us"
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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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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. -->
# my_awesome_opus_books_model
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown data... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "t5-small", "model-index": [{"name": "my_awesome_opus_books_model", "results": []}]} | pavi156/my_awesome_opus_books_model | null | [
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| my\_awesome\_opus\_books\_model
===============================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6078
* Bleu: 5.6715
* Gen Len: 17.6183
Model description
-----------------
More information needed
Intended u... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Sao10K/Skadi-Mixtral-v1
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Skadi-Mixtral-v1-... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["merge"], "base_model": "Sao10K/Skadi-Mixtral-v1", "quantized_by": "mradermacher"} | mradermacher/Skadi-Mixtral-v1-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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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. -->
# starcoder2
This model is a fine-tuned version of [bigcode/starcoder2-3b](https://huggingface.co/bigcode/starcoder2-3b) on an unk... | {"license": "bigcode-openrail-m", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "bigcode/starcoder2-3b", "model-index": [{"name": "starcoder2", "results": []}]} | choprahetarth/starcoder2 | null | [
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"trl",
"sft",
"generated_from_trainer",
"base_model:bigcode/starcoder2-3b",
"license:bigcode-openrail-m",
"region:us"
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#peft #safetensors #trl #sft #generated_from_trainer #base_model-bigcode/starcoder2-3b #license-bigcode-openrail-m #region-us
|
# starcoder2
This model is a fine-tuned version of bigcode/starcoder2-3b 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
The ... | [
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text-generation | transformers | mistralized tinyllama since flash attention training on llama w/ flash-attn is buggy.
it's based on the 3t base model (not chat tuned).
not extensively tested.
enjoy!
(model card is repeated due to open llm leaderboard length requirements)
mistralized tinyllama since flash attention training on llama w/ flash-attn... | {"license": "apache-2.0"} | optimum/mistral-1.1b-testing | null | [
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| mistralized tinyllama since flash attention training on llama w/ flash-attn is buggy.
it's based on the 3t base model (not chat tuned).
not extensively tested.
enjoy!
(model card is repeated due to open llm leaderboard length requirements)
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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-base-cotat
This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta... | {"language": ["en"], "license": "mit", "tags": ["nycu-112-2-datamining-hw2", "generated_from_trainer"], "datasets": ["DandinPower/review_cleanonlytitleandtext"], "metrics": ["accuracy"], "base_model": "microsoft/deberta-v3-base", "model-index": [{"name": "deberta-v3-base-cotat", "results": [{"task": {"type": "text-clas... | DandinPower/deberta-v3-base-cotat | null | [
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| deberta-v3-base-cotat
=====================
This model is a fine-tuned version of microsoft/deberta-v3-base on the DandinPower/review\_cleanonlytitleandtext dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4985
* Accuracy: 0.623
* Macro F1: 0.6247
Model description
-----------------
M... | [
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null | 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. -->
# PolizzeDonut-CR-ProvaGrayscale-5Epochs
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "PolizzeDonut-CR-ProvaGrayscale-5Epochs", "results": []}]} | tedad09/PolizzeDonut-CR-ProvaGrayscale-5Epochs | null | [
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|
# PolizzeDonut-CR-ProvaGrayscale-5Epochs
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
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More information needed
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null | adapter-transformers |
# Adapter `jgrc3/unipelt_adapter_classification_trained_lr0_0001` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_helpfulness](https://huggingface.co/datasets/BigTMiami/amazon_helpfulness/) dataset and includes a prediction head for classific... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_helpfulness"]} | jgrc3/unipelt_adapter_classification_trained_lr0_0001 | null | [
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|
# Adapter 'jgrc3/unipelt_adapter_classification_trained_lr0_0001' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, in... | [
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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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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": []} | thusinh1969/LLaMA-2-finetune-100k-CP45600-19APRIL2024 | null | [
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text-generation | transformers | Still untrained
# Uploaded model
- **Developed by:** LeroyDyer
- **License:** apache-2.0
- **Finetuned from model :** Mixtral_AI_Minitron_2b_Dolphin
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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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": []} | mubbasharahmad/llama-2-7b-chat-mub | 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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null | transformers |
# Uploaded model
- **Developed by:** weege007
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama 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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | weege007/llama-3-8b-bnb-4bit-alpaca-lora | null | [
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null | transformers |
# Uploaded model
- **Developed by:** LeroyDyer
- **License:** apache-2.0
- **Finetuned from model :** Mixtral_AI_Minitron_2b_Dolphin
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "Mixtral_AI_Minitron_2b_Dolphin"} | LeroyDyer/MINI_LORA | null | [
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object-detection | 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. -->
# microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5
This model is a fine-tuned version of [microsoft/conditional-detr-resne... | {"license": "apache-2.0", "tags": ["object-detection", "vision", "generated_from_trainer"], "base_model": "microsoft/conditional-detr-resnet-50", "model-index": [{"name": "microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5", "results": []}]} | qubvel-hf/microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5 | null | [
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| microsoft-conditional-detr-resnet-50-finetuned-10k-cppe5
========================================================
This model is a fine-tuned version of microsoft/conditional-detr-resnet-50 on the cppe-5 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3007
* Map: 0.3131
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text-generation | transformers |
GPTQ quantized version of Meta-Llama-3-70B-Instruct model.
---
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dial... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | TechxGenus/Meta-Llama-3-70B-Instruct-GPTQ | null | [
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| GPTQ quantized version of Meta-Llama-3-70B-Instruct model.
---
Model Details
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text-generation | transformers |
AWQ quantized version of Meta-Llama-3-70B-Instruct model.
---
## Model Details
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text-generation | transformers |
AWQ quantized version of Meta-Llama-3-70B model.
---
## Model Details
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| AWQ quantized version of Meta-Llama-3-70B model.
---
Model Details
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text-generation | transformers |
GPTQ quantized version of Meta-Llama-3-70B model.
---
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use ... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | TechxGenus/Meta-Llama-3-70B-GPTQ | null | [
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| GPTQ quantized version of Meta-Llama-3-70B model.
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null | peft |
# Model Card for Model ID
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** Barbara Scalvini, Language Technology Center, University of the Faroe Islands
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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. -->
# SFTOpenLM-Dolly15k
This model is a fine-tuned version of [openlm-research/open_llama_3b](https://huggingface.co/openlm-research/... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "openlm-research/open_llama_3b", "model-index": [{"name": "SFTOpenLM-Dolly15k", "results": []}]} | Raul569/SFTOpenLM-Dolly15k | null | [
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# SFTOpenLM-Dolly15k
This model is a fine-tuned version of openlm-research/open_llama_3b 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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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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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 generate... | {"library_name": "transformers", "tags": []} | Raul569/oufit_recommender_19_Apr_2024_v1 | null | [
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<!-- 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-absa-MT-restaurants
This model is a fine-tuned version of [baffo32/decapoda-research-llama-7B-hf](https://huggingface.c... | {"license": "other", "tags": ["generated_from_trainer"], "base_model": "baffo32/decapoda-research-llama-7B-hf", "model-index": [{"name": "llama-7b-absa-MT-restaurants", "results": []}]} | Shakhovak/llama-7b-absa-MT-restaurants | null | [
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| llama-7b-absa-MT-restaurants
============================
This model is a fine-tuned version of baffo32/decapoda-research-llama-7B-hf on an unknown dataset.
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* Loss: 0.0019
Model description
-----------------
More information needed
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text-generation | transformers |
# Uploaded model
- **Developed by:** weege007
- **License:** apache-2.0
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This llama 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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | weege007/llama-3-8b-bnb-4bit-alpaca-merged-4bit | null | [
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|
# Uploaded model
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- License: apache-2.0
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<img src="URL width="200"/>
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null | transformers |
# Uploaded model
- **Developed by:** indiehackers
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-it-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/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-7b-it-bnb-4bit"} | indiehackers/gemma-telugu-instruct-test1 | null | [
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|
# Uploaded model
- Developed by: indiehackers
- License: apache-2.0
- Finetuned from model : unsloth/gemma-7b-it-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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text-generation | null |
# Llama 3 DreamGen Opus V1
<div style="display: flex; flex-direction: row; align-items: center;">
<img src="/dreamgen/opus-v1.2-llama-3-8b/resolve/main/images/logo-1024.png" alt="model logo" style="
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... | {"language": ["en"], "license": "cc-by-nc-nd-4.0", "tags": ["unsloth", "axolotl"], "pipeline_tag": "text-generation"} | LoneStriker/opus-v1.2-llama-3-8b-GGUF | null | [
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#gguf #unsloth #axolotl #text-generation #en #license-cc-by-nc-nd-4.0 #region-us
|
# Llama 3 DreamGen Opus V1
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text-generation | transformers | ## Instruction Tuning LLAMA3
This repo uses the `torchtune` for instruction tuning the llama3 pretrained model on mathematical tasks using LORA.
### Wandb report link
https://wandb.ai/som/torchtune_llama3?nw=nwusersom
## Instruction_tuned Model
https://huggingface.co/Someshfengde/llama-3-instruction-tuned-AIMO
##... | {} | Someshfengde/llama-3-instruction-tuned-AIMO | null | [
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#transformers #safetensors #llama #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| ## Instruction Tuning LLAMA3
This repo uses the 'torchtune' for instruction tuning the llama3 pretrained model on mathematical tasks using LORA.
### Wandb report link
URL
## Instruction_tuned Model
URL
### Original metallama model
URL
## For running this project
Further commands over shell terminal
### To... | [
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reinforcement-learning | ml-agents |
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos**
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-Docum... | {"library_name": "ml-agents", "tags": ["SoccerTwos", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SoccerTwos"]} | MLIsaac/poca-SoccerTwos | null | [
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"deep-reinforcement-learning",
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#ml-agents #tensorboard #onnx #SoccerTwos #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SoccerTwos #region-us
|
# poca Agent playing SoccerTwos
This is a trained model of a poca agent playing SoccerTwos
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* ... | [
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text-generation | transformers | # [MaziyarPanahi/Llama-3-16B-Instruct-v0.1-GGUF](https://huggingface.co/MaziyarPanahi/Llama-3-16B-Instruct-v0.1-GGUF)
- Model creator: [MaziyarPanahi](https://huggingface.co/MaziyarPanahi)
- Original model: [MaziyarPanahi/Llama-3-16B-Instruct-v0.1](https://huggingface.co/MaziyarPanahi/Llama-3-16B-Instruct-v0.1)
## Des... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "text-generation", "mixtral", "text-generation"], "model_name": "Llama-3-16B-Instruct-v0.1-GGUF", "base_model": "MaziyarPanahi/Llama-3-16B-Instruct-v0.1", "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-gene... | MaziyarPanahi/Llama-3-16B-Instruct-v0.1-GGUF | null | [
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| # MaziyarPanahi/Llama-3-16B-Instruct-v0.1-GGUF
- Model creator: MaziyarPanahi
- Original model: MaziyarPanahi/Llama-3-16B-Instruct-v0.1
## Description
MaziyarPanahi/Llama-3-16B-Instruct-v0.1-GGUF contains GGUF format model files for MaziyarPanahi/Llama-3-16B-Instruct-v0.1.
## Load GGUF models
You 'MUST' follow the p... | [
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null | transformers |
# Uploaded model
- **Developed by:** Jacque008
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct
This llama 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... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct"} | Jacque008/unsloth-llama-3-8b-instruct_4396_ori_refer_fwd_epoch2 | null | [
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|
# Uploaded model
- Developed by: Jacque008
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-Instruct
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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"]} | ws11yrin/Huggy-ppo-mlagents | null | [
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"deep-reinforcement-learning",
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#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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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": ["unsloth"]} | Jacque008/unsloth-llama-3-8b-instruct_4396_ori_refer_fwd_epoch2_tokenizer | null | [
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# Model Card for Model ID
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### 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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null | transformers |
# Uploaded model
- **Developed by:** Jacque008
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct
This llama 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... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct"} | Jacque008/unsloth-llama-3-8b-instruct_4396_ori_refer_fwd_epoch2_merge | null | [
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|
# Uploaded model
- Developed by: Jacque008
- License: apache-2.0
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text-classification | adapter-transformers |
# Model Card for orYx-models/finetuned-roberta-leadership-sentiment-analysis
- **Model Description:** This model is a finetuned version of the RoBERTa text classifier(cardiffnlp/twitter-roberta-base-sentiment-latest). It has been trained on a dataset comprising communications from corporate executives to their thera... | {"language": ["en"], "license": "cc", "library_name": "adapter-transformers", "pipeline_tag": "text-classification"} | orYx-models/finetuned-roberta-leadership-sentiment-analysis | null | [
"adapter-transformers",
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"roberta",
"text-classification",
"en",
"arxiv:2202.03829",
"arxiv:1910.09700",
"license:cc",
"has_space",
"region:us"
] | null | 2024-04-19T13:01:05+00:00 | [
"2202.03829",
"1910.09700"
] | [
"en"
] | TAGS
#adapter-transformers #safetensors #roberta #text-classification #en #arxiv-2202.03829 #arxiv-1910.09700 #license-cc #has_space #region-us
|
# Model Card for orYx-models/finetuned-roberta-leadership-sentiment-analysis
- Model Description: This model is a finetuned version of the RoBERTa text classifier(cardiffnlp/twitter-roberta-base-sentiment-latest). It has been trained on a dataset comprising communications from corporate executives to their therapist... | [
"# Model Card for orYx-models/finetuned-roberta-leadership-sentiment-analysis \n\n- Model Description: This model is a finetuned version of the RoBERTa text classifier(cardiffnlp/twitter-roberta-base-sentiment-latest). It has been trained on a dataset comprising communications from corporate executives to their the... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/MarsupialAI/HelloNurse-11b
<!-- 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": ["not-for-all-audiences", "nsfw", "merge", "mistral"], "base_model": "MarsupialAI/HelloNurse-11b", "quantized_by": "mradermacher"} | mradermacher/HelloNurse-11b-GGUF | null | [
"transformers",
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"not-for-all-audiences",
"nsfw",
"merge",
"mistral",
"en",
"base_model:MarsupialAI/HelloNurse-11b",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-19T13:02:22+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #not-for-all-audiences #nsfw #merge #mistral #en #base_model-MarsupialAI/HelloNurse-11b #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
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... | [] | [
"TAGS\n#transformers #gguf #not-for-all-audiences #nsfw #merge #mistral #en #base_model-MarsupialAI/HelloNurse-11b #license-apache-2.0 #endpoints_compatible #region-us \n"
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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": []} | mani-a-i/mistral-7b-v2-ckpt-2400 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-19T13:03:56+00:00 | [
"1910.09700"
] | [] | TAGS
#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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"# Model Card for Model ID",
"## Model Details",
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null | null |
# NikolayKozloff/Mistral-7B-v0.1-capybara-orpo-en-de-Q8_0-GGUF
This model was converted to GGUF format from [`maxidl/Mistral-7B-v0.1-capybara-orpo-en-de`](https://huggingface.co/maxidl/Mistral-7B-v0.1-capybara-orpo-en-de) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-r... | {"tags": ["alignment-handbook", "generated_from_trainer", "llama-cpp", "gguf-my-repo"], "datasets": ["maxidl/distilabel-capybara-dpo-7k-binarized_en_de"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "Mistral-7B-v0.1-capybara-orpo-en-de", "results": []}]} | NikolayKozloff/Mistral-7B-v0.1-capybara-orpo-en-de-GGUF | null | [
"gguf",
"alignment-handbook",
"generated_from_trainer",
"llama-cpp",
"gguf-my-repo",
"dataset:maxidl/distilabel-capybara-dpo-7k-binarized_en_de",
"base_model:mistralai/Mistral-7B-v0.1",
"region:us"
] | null | 2024-04-19T13:04:37+00:00 | [] | [] | TAGS
#gguf #alignment-handbook #generated_from_trainer #llama-cpp #gguf-my-repo #dataset-maxidl/distilabel-capybara-dpo-7k-binarized_en_de #base_model-mistralai/Mistral-7B-v0.1 #region-us
|
# NikolayKozloff/Mistral-7B-v0.1-capybara-orpo-en-de-Q8_0-GGUF
This model was converted to GGUF format from 'maxidl/Mistral-7B-v0.1-capybara-orpo-en-de' 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 UR... | [
"# NikolayKozloff/Mistral-7B-v0.1-capybara-orpo-en-de-Q8_0-GGUF\nThis model was converted to GGUF format from 'maxidl/Mistral-7B-v0.1-capybara-orpo-en-de' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\... | [
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null | null |
4-bit [OmniQuant](https://arxiv.org/abs/2308.13137) quantized version of [Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct).
| {"license": "other", "license_name": "llama3", "license_link": "LICENSE"} | numen-tech/Meta-Llama-3-8B-Instruct-w4a16g128asym | null | [
"arxiv:2308.13137",
"license:other",
"region:us"
] | null | 2024-04-19T13:06:04+00:00 | [
"2308.13137"
] | [] | TAGS
#arxiv-2308.13137 #license-other #region-us
|
4-bit OmniQuant quantized version of Meta-Llama-3-8B-Instruct.
| [] | [
"TAGS\n#arxiv-2308.13137 #license-other #region-us \n"
] | [
19
] | [
"TAGS\n#arxiv-2308.13137 #license-other #region-us \n"
] |
text-classification | null | # Hogwarts Sorting Hat using Annif and its fastText backend
The model is the output of [this Annif tutorial exercise](https://github.com/NatLibFi/Annif-tutorial/blob/master/exercises/OPT_hogwarts.md).
> The original Sorting Hat reads the thoughts of the student, but Annif generally does not have access to that kind o... | {"language": ["en"], "license": "cc-by-4.0", "tags": ["glam", "lam", "subject indexing", "annif", "hogwarts"], "pipeline_tag": "text-classification"} | NatLibFi/HogwartsSortingHat-fastText | null | [
"glam",
"lam",
"subject indexing",
"annif",
"hogwarts",
"text-classification",
"en",
"license:cc-by-4.0",
"region:us"
] | null | 2024-04-19T13:06:41+00:00 | [] | [
"en"
] | TAGS
#glam #lam #subject indexing #annif #hogwarts #text-classification #en #license-cc-by-4.0 #region-us
| # Hogwarts Sorting Hat using Annif and its fastText backend
The model is the output of this Annif tutorial exercise.
> The original Sorting Hat reads the thoughts of the student, but Annif generally does not have access to that kind of information, so we will simply use the name of the student as input. We will train... | [
"# Hogwarts Sorting Hat using Annif and its fastText backend\n\nThe model is the output of this Annif tutorial exercise.\n\n> The original Sorting Hat reads the thoughts of the student, but Annif generally does not have access to that kind of information, so we will simply use the name of the student as input. We w... | [
"TAGS\n#glam #lam #subject indexing #annif #hogwarts #text-classification #en #license-cc-by-4.0 #region-us \n",
"# Hogwarts Sorting Hat using Annif and its fastText backend\n\nThe model is the output of this Annif tutorial exercise.\n\n> The original Sorting Hat reads the thoughts of the student, but Annif gener... | [
37,
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"TAGS\n#glam #lam #subject indexing #annif #hogwarts #text-classification #en #license-cc-by-4.0 #region-us \n# Hogwarts Sorting Hat using Annif and its fastText backend\n\nThe model is the output of this Annif tutorial exercise.\n\n> The original Sorting Hat reads the thoughts of the student, but Annif generally d... |
text-generation | transformers |
# Uploaded model
- **Developed by:** mayacinka
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama 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... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "dpo"], "datasets": ["mlabonne/orpo-dpo-mix-40k"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | mayacinka/OkapiLlama-3-dpo | null | [
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"unsloth",
"trl",
"dpo",
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"base_model:unsloth/llama-3-8b-bnb-4bit",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
... | null | 2024-04-19T13:06:52+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #text-generation-inference #unsloth #trl #dpo #conversational #en #dataset-mlabonne/orpo-dpo-mix-40k #base_model-unsloth/llama-3-8b-bnb-4bit #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: mayacinka
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/> | [
"# Uploaded model\n\n- Developed by: mayacinka\n- License: apache-2.0\n- Finetuned from model : unsloth/llama-3-8b-bnb-4bit\n\nThis llama model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
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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": []} | OwOOwO/dumbo-krillin103 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-19T13:08:42+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | null |
# [Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues (FG2024)](https://arxiv.org/pdf/2402.00281.pdf)
by **Soufiane Belharbi<sup>1</sup>, Marco Pedersoli<sup>1</sup>, Alessandro Lameiras Koerich<sup>1</sup>, Simon Bacon<sup>2</sup>, Eric Granger<sup>1</sup>**
<sup>1</sup> LIVIA, Dept. o... | {"license": "mit", "tags": ["pytorch", "facial-expression-recognition", "interpretability", "class-activation-maps", "action-units", "pytorch-implementation", "weakly-supervised-object-localization", "facial-action-coding-system"]} | sbelharbi/interpretable-fer-aus | null | [
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"facial-expression-recognition",
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"pytorch-implementation",
"weakly-supervised-object-localization",
"facial-action-coding-system",
"arxiv:2402.00281",
"license:mit",
"region:us"
] | null | 2024-04-19T13:11:29+00:00 | [
"2402.00281"
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#pytorch #facial-expression-recognition #interpretability #class-activation-maps #action-units #pytorch-implementation #weakly-supervised-object-localization #facial-action-coding-system #arxiv-2402.00281 #license-mit #region-us
|
# Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues (FG2024)
by Soufiane Belharbi<sup>1</sup>, Marco Pedersoli<sup>1</sup>, Alessandro Lameiras Koerich<sup>1</sup>, Simon Bacon<sup>2</sup>, Eric Granger<sup>1</sup>
<sup>1</sup> LIVIA, Dept. of Systems Engineering, ÉTS, Montreal, Canada... | [
"# Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues (FG2024)\n\n\nby Soufiane Belharbi<sup>1</sup>, Marco Pedersoli<sup>1</sup>, Alessandro Lameiras Koerich<sup>1</sup>, Simon Bacon<sup>2</sup>, Eric Granger<sup>1</sup>\n\n<sup>1</sup> LIVIA, Dept. of Systems Engineering, ÉTS, Montrea... | [
"TAGS\n#pytorch #facial-expression-recognition #interpretability #class-activation-maps #action-units #pytorch-implementation #weakly-supervised-object-localization #facial-action-coding-system #arxiv-2402.00281 #license-mit #region-us \n",
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