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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": []} | abc88767/model36 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T01:28:02+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #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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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. -->
# your_model_checkpoint-finetuned-your_task
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["matthews_correlation"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "your_model_checkpoint-finetuned-your_task", "results": []}]} | hanzla107/your_model_checkpoint-finetuned-your_task | null | [
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"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| your\_model\_checkpoint-finetuned-your\_task
============================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8249
* Matthews Correlation: 0.5196
Model description
-----------------
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Training... | [
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feature-extraction | 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": []} | andersonbcdefg/tiny-emb-2024-05-02_01-29-42 | null | [
"transformers",
"safetensors",
"bert",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #bert #feature-extraction #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... | [
"# Model Card for Model ID",
"## Model Details",
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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. -->
# robust_llm_pythia-160m_mz-133_EnronSpam_n-its-10-seed-2
This model is a fine-tuned version of [EleutherAI/pythia-160m](https://h... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m", "model-index": [{"name": "robust_llm_pythia-160m_mz-133_EnronSpam_n-its-10-seed-2", "results": []}]} | AlignmentResearch/robust_llm_pythia-160m_mz-133_EnronSpam_n-its-10-seed-2 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt_neox",
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"generated_from_trainer",
"base_model:EleutherAI/pythia-160m",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-02T01:29:42+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-160m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-160m_mz-133_EnronSpam_n-its-10-seed-2
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training... | [
"# robust_llm_pythia-160m_mz-133_EnronSpam_n-its-10-seed-2\n\nThis model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore informati... | [
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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. -->
# robust_llm_pythia-160m_mz-133_EnronSpam_n-its-10-seed-3
This model is a fine-tuned version of [EleutherAI/pythia-160m](https://h... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m", "model-index": [{"name": "robust_llm_pythia-160m_mz-133_EnronSpam_n-its-10-seed-3", "results": []}]} | AlignmentResearch/robust_llm_pythia-160m_mz-133_EnronSpam_n-its-10-seed-3 | null | [
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"safetensors",
"gpt_neox",
"text-classification",
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"base_model:EleutherAI/pythia-160m",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-02T01:32:44+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-160m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-160m_mz-133_EnronSpam_n-its-10-seed-3
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training... | [
"# robust_llm_pythia-160m_mz-133_EnronSpam_n-its-10-seed-3\n\nThis model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore informati... | [
"TAGS\n#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-160m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-160m_mz-133_EnronSpam_n-its-10-seed-4
This model is a fine-tuned version of [EleutherAI/pythia-160m](https://h... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m", "model-index": [{"name": "robust_llm_pythia-160m_mz-133_EnronSpam_n-its-10-seed-4", "results": []}]} | AlignmentResearch/robust_llm_pythia-160m_mz-133_EnronSpam_n-its-10-seed-4 | null | [
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"tensorboard",
"safetensors",
"gpt_neox",
"text-classification",
"generated_from_trainer",
"base_model:EleutherAI/pythia-160m",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-02T01:34:21+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-160m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-160m_mz-133_EnronSpam_n-its-10-seed-4
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training... | [
"# robust_llm_pythia-160m_mz-133_EnronSpam_n-its-10-seed-4\n\nThis model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore informati... | [
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text-generation | null |
# bkz11/Phi-3-mini-128k-instruct-Q4_0-GGUF
This model was converted to GGUF format from [`microsoft/Phi-3-mini-128k-instruct`](https://huggingface.co/microsoft/Phi-3-mini-128k-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 [original m... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code", "llama-cpp", "gguf-my-repo"], "license_link": "https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/resolve/main/LICENSE", "pipeline_tag": "text-generation", "widget": [{"messages": [{"role": "user", "content": "Can you provide ways to eat combinations... | bkz11/Phi-3-mini-128k-instruct-Q4_0-GGUF | null | [
"gguf",
"nlp",
"code",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"en",
"license:mit",
"region:us"
] | null | 2024-05-02T01:36:21+00:00 | [] | [
"en"
] | TAGS
#gguf #nlp #code #llama-cpp #gguf-my-repo #text-generation #en #license-mit #region-us
|
# bkz11/Phi-3-mini-128k-instruct-Q4_0-GGUF
This model was converted to GGUF format from 'microsoft/Phi-3-mini-128k-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.
CLI:
... | [
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text-classification | setfit |
# SetFit Aspect Model with sentence-transformers/all-MiniLM-L6-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Aspect Based Sentiment Analysis (ABSA). This SetFit model uses [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) ... | {"library_name": "setfit", "tags": ["setfit", "absa", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "sentence-transformers/all-MiniLM-L6-v2", "widget": [{"text": "netbook:I am not going to sit here and complain about it not having a cd drive and... | marcelomoreno26/all-MiniLM-L6-v2-absa-aspect | null | [
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"bert",
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"sentence-transformers",
"text-classification",
"generated_from_setfit_trainer",
"arxiv:2209.11055",
"base_model:sentence-transformers/all-MiniLM-L6-v2",
"model-index",
"region:us"
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| SetFit Aspect Model with sentence-transformers/all-MiniLM-L6-v2
===============================================================
This is a SetFit model that can be used for Aspect Based Sentiment Analysis (ABSA). This SetFit model uses sentence-transformers/all-MiniLM-L6-v2 as the Sentence Transformer embedding model.... | [
"### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: sentence-transformers/all-MiniLM-L6-v2\n* Classification head: a LogisticRegression instance\n* spaCy Model: en\\_core\\_web\\_sm\n* SetFitABSA Aspect Model: marcelomoreno26/all-MiniLM-L6-v2-absa-aspect2\n* SetFitABSA Polarity Model: set... | [
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null | null |
# Marcoro14-7B-slerp
Marcoro14-7B-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [Rimyy/Llama-2-7b-chat-finetuneGSMdata](https://huggingface.co/Rimyy/Llama-2-7b-chat-finetuneGSMdata)
* [Rimyy/Gemma-2b-finetuneGSMdata5ep](https://huggingface.co/Rimyy/Gemma-2b-finetuneGS... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "Rimyy/Llama-2-7b-chat-finetuneGSMdata", "Rimyy/Gemma-2b-finetuneGSMdata5ep"]} | Rimyy/Marcoro14-7B-slerp | null | [
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"Rimyy/Llama-2-7b-chat-finetuneGSMdata",
"Rimyy/Gemma-2b-finetuneGSMdata5ep",
"license:apache-2.0",
"region:us"
] | null | 2024-05-02T01:36:34+00:00 | [] | [] | TAGS
#merge #mergekit #lazymergekit #Rimyy/Llama-2-7b-chat-finetuneGSMdata #Rimyy/Gemma-2b-finetuneGSMdata5ep #license-apache-2.0 #region-us
|
# Marcoro14-7B-slerp
Marcoro14-7B-slerp is a merge of the following models using mergekit:
* Rimyy/Llama-2-7b-chat-finetuneGSMdata
* Rimyy/Gemma-2b-finetuneGSMdata5ep
## Configuration
\ | [
"# Marcoro14-7B-slerp\n\nMarcoro14-7B-slerp is a merge of the following models using mergekit:\n* Rimyy/Llama-2-7b-chat-finetuneGSMdata\n* Rimyy/Gemma-2b-finetuneGSMdata5ep",
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"# Marcoro14-7B-slerp\n\nMarcoro14-7B-slerp is a merge of the following models using mergekit:\n* Rimyy/Llama-2-7b-chat-finetuneGSMdata\n* Rimyy/Gemma-2b-finetuneGSMd... | [
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text-classification | setfit |
# SetFit Polarity Model with sentence-transformers/all-mpnet-base-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Aspect Based Sentiment Analysis (ABSA). This SetFit model uses [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base... | {"library_name": "setfit", "tags": ["setfit", "absa", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "sentence-transformers/all-mpnet-base-v2", "widget": [{"text": "Needs Power and Mouse Cable to Plug in:Needs Power and Mouse Cable to Plug in bac... | marcelomoreno26/all-mpnet-base-v2-absa-polarity | null | [
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| SetFit Polarity Model with sentence-transformers/all-mpnet-base-v2
==================================================================
This is a SetFit model that can be used for Aspect Based Sentiment Analysis (ABSA). This SetFit model uses sentence-transformers/all-mpnet-base-v2 as the Sentence Transformer embedding... | [
"### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: sentence-transformers/all-mpnet-base-v2\n* Classification head: a LogisticRegression instance\n* spaCy Model: en\\_core\\_web\\_sm\n* SetFitABSA Aspect Model: setfit-absa-aspect\n* SetFitABSA Polarity Model: marcelomoreno26/all-mpnet-bas... | [
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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. -->
# CS505_COQE_viT5_train_InstructionN1_SOAPL_v1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/Vi... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_InstructionN1_SOAPL_v1", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_InstructionN1_SOAPL_v1 | null | [
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|
# CS505_COQE_viT5_train_InstructionN1_SOAPL_v1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tr... | [
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text-generation | 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. -->
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": "peft", "tags": ["unsloth", "trl", "sft"], "pipeline_tag": "text-generation", "widget": [{"text": "You will assist me in generating MCQ questions along with their Answers and Choices. Please use the next context to guide you generating of MCQ questions ### Context: : The advantages of Eating Fruits & V... | shredder-31/Llamma-3_QG_V.1.0 | null | [
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|
# Model Card for Model ID
## Model Details
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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 | null |
# Quant Infos
- Includes recent bpe pre-tokenizer fixes https://github.com/ggerganov/llama.cpp/pull/6920
- quants done with an importance matrix for improved quantization loss
- K & IQ quants in basically all variants from Q6_K down to IQ1_S
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|
# Quant Infos
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- Imatrix generated with th... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: hf -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/mlabonne/ChimeraLlama-3-8B-v3
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not ... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": "mlabonne/ChimeraLlama-3-8B-v3", "quantized_by": "mradermacher"} | mradermacher/ChimeraLlama-3-8B-v3-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 |
# flammen23-mistral-7B
A Mistral 7B LLM built from merging pretrained models and finetuning on [nbeerbower/bible-dpo](https://huggingface.co/datasets/nbeerbower/bible-dpo).
Flammen specializes in exceptional character ... | {"license": "apache-2.0", "library_name": "transformers", "datasets": ["nbeerbower/bible-dpo"], "base_model": ["flammenai/flammen22X-mistral-7B"]} | flammenai/flammen23-mistral-7B | null | [
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"text-generation-inference",
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|
!image/png
# flammen23-mistral-7B
A Mistral 7B LLM built from merging pretrained models and finetuning on nbeerbower/bible-dpo.
Flammen specializes in exceptional character roleplay, creative writing, and general intelligence
### Method
Finetuned using an A100 on Google Colab.
Fine-tune a Mistral-7b model with D... | [
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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. -->
# CS505_COQE_viT5_train_InstructionN0_SOAPL_v1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/Vi... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_InstructionN0_SOAPL_v1", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_InstructionN0_SOAPL_v1 | null | [
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|
# CS505_COQE_viT5_train_InstructionN0_SOAPL_v1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tr... | [
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unconditional-image-generation | diffusers |
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('Vincent-Liiiii/sd-class-but... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | Vincent-Liiiii/sd-class-butterflies-32 | null | [
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# Model Card for Unit 1 of the Diffusion Models Class
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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": []} | rxm210132/gemma_QLORA_model_emotion_detection | null | [
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|
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## Model Details
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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": []} | Mervyn999/mistral-7b-distilabel-mini | null | [
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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. -->
# flant5-base
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknow... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/flan-t5-base", "model-index": [{"name": "flant5-base", "results": []}]} | tuquyennnn/flant5-base | null | [
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| flant5-base
===========
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: nan
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information n... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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unconditional-image-generation | diffusers |
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('reevewu/sd-class-butterflie... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | reevewu/sd-class-butterflies-32 | null | [
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"pytorch",
"unconditional-image-generation",
"diffusion-models-class",
"license:mit",
"diffusers:DDPMPipeline",
"region:us"
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#diffusers #safetensors #pytorch #unconditional-image-generation #diffusion-models-class #license-mit #diffusers-DDPMPipeline #region-us
|
# Model Card for Unit 1 of the Diffusion Models Class
This model is a diffusion model for unconditional image generation of cute .
## Usage
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] |
reinforcement-learning | null |
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
| {"tags": ["LunarLander-v2", "ppo", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation", "deep-rl-course"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarLander-v2... | Joalbom14/ppo-LunarLander-v2-CleanRL | null | [
"tensorboard",
"LunarLander-v2",
"ppo",
"deep-reinforcement-learning",
"reinforcement-learning",
"custom-implementation",
"deep-rl-course",
"model-index",
"region:us"
] | null | 2024-05-02T02:02:02+00:00 | [] | [] | TAGS
#tensorboard #LunarLander-v2 #ppo #deep-reinforcement-learning #reinforcement-learning #custom-implementation #deep-rl-course #model-index #region-us
|
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
| [
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] |
unconditional-image-generation | diffusers |
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('reevewu/sd-class-butterflie... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | reevewu/sd-class-butterflies-64 | null | [
"diffusers",
"safetensors",
"pytorch",
"unconditional-image-generation",
"diffusion-models-class",
"license:mit",
"diffusers:DDPMPipeline",
"region:us"
] | null | 2024-05-02T02:02:29+00:00 | [] | [] | TAGS
#diffusers #safetensors #pytorch #unconditional-image-generation #diffusion-models-class #license-mit #diffusers-DDPMPipeline #region-us
|
# Model Card for Unit 1 of the Diffusion Models Class
This model is a diffusion model for unconditional image generation of cute .
## Usage
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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. -->
# trained_falcon_sharded_80_20_HPE
This model is a fine-tuned version of [ybelkada/falcon-7b-sharded-bf16](https://huggingface.co/... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "ybelkada/falcon-7b-sharded-bf16", "model-index": [{"name": "trained_falcon_sharded_80_20_HPE", "results": []}]} | sathwik77/trained_falcon_sharded_80_20_HPE | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:ybelkada/falcon-7b-sharded-bf16",
"region:us"
] | null | 2024-05-02T02:03:45+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-ybelkada/falcon-7b-sharded-bf16 #region-us
|
# trained_falcon_sharded_80_20_HPE
This model is a fine-tuned version of ybelkada/falcon-7b-sharded-bf16 on the None 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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unconditional-image-generation | diffusers |
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('VickFan/sd-class-butterflie... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | VickFan/sd-class-butterflies-32 | null | [
"diffusers",
"safetensors",
"pytorch",
"unconditional-image-generation",
"diffusion-models-class",
"license:mit",
"diffusers:DDPMPipeline",
"region:us"
] | null | 2024-05-02T02:05:46+00:00 | [] | [] | TAGS
#diffusers #safetensors #pytorch #unconditional-image-generation #diffusion-models-class #license-mit #diffusers-DDPMPipeline #region-us
|
# Model Card for Unit 1 of the Diffusion Models Class
This model is a diffusion model for unconditional image generation of cute .
## Usage
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Mervyn999/mistral-7b-distilabel-mini-SFT | null | [
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"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
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"text-generation-inference",
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"1910.09700"
] | [] | TAGS
#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: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/chargoddard/llama-2-16b-nastychat
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/llama-2... | {"language": ["en"], "library_name": "transformers", "tags": ["not-for-all-audiences"], "base_model": "chargoddard/llama-2-16b-nastychat", "quantized_by": "mradermacher"} | mradermacher/llama-2-16b-nastychat-GGUF | null | [
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"en",
"base_model:chargoddard/llama-2-16b-nastychat",
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"en"
] | TAGS
#transformers #gguf #not-for-all-audiences #en #base_model-chargoddard/llama-2-16b-nastychat #endpoints_compatible #region-us
| 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 | null |
# joeshmoethefunnyone/pythia-410m-Q8_0-GGUF
This model was converted to GGUF format from [`EleutherAI/pythia-410m`](https://huggingface.co/EleutherAI/pythia-410m) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://hugg... | {"language": ["en"], "license": "apache-2.0", "tags": ["pytorch", "causal-lm", "pythia", "llama-cpp", "gguf-my-repo"], "datasets": ["EleutherAI/pile"]} | joeshmoethefunnyone/pythia-410m-Q8_0-GGUF | null | [
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"pytorch",
"causal-lm",
"pythia",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:EleutherAI/pile",
"license:apache-2.0",
"region:us"
] | null | 2024-05-02T02:08:35+00:00 | [] | [
"en"
] | TAGS
#gguf #pytorch #causal-lm #pythia #llama-cpp #gguf-my-repo #en #dataset-EleutherAI/pile #license-apache-2.0 #region-us
|
# joeshmoethefunnyone/pythia-410m-Q8_0-GGUF
This model was converted to GGUF format from 'EleutherAI/pythia-410m' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
"# joeshmoethefunnyone/pythia-410m-Q8_0-GGUF\nThis model was converted to GGUF format from 'EleutherAI/pythia-410m' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-CartPoleV1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"... | Joalbom14/Reinforce-CartPoleV1 | null | [
"CartPole-v1",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-05-02T02:08:39+00:00 | [] | [] | TAGS
#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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null | gpt-neox |
# joeshmoethefunnyone/pythia-70m-Q8_0-GGUF
This model was converted to GGUF format from [`EleutherAI/pythia-70m`](https://huggingface.co/EleutherAI/pythia-70m) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://hugging... | {"language": ["en"], "license": "apache-2.0", "library_name": "gpt-neox", "tags": ["pytorch", "causal-lm", "pythia", "llama-cpp", "gguf-my-repo"], "datasets": ["EleutherAI/pile"]} | joeshmoethefunnyone/pythia-70m-Q8_0-GGUF | null | [
"gpt-neox",
"gguf",
"pytorch",
"causal-lm",
"pythia",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:EleutherAI/pile",
"license:apache-2.0",
"region:us"
] | null | 2024-05-02T02:09:06+00:00 | [] | [
"en"
] | TAGS
#gpt-neox #gguf #pytorch #causal-lm #pythia #llama-cpp #gguf-my-repo #en #dataset-EleutherAI/pile #license-apache-2.0 #region-us
|
# joeshmoethefunnyone/pythia-70m-Q8_0-GGUF
This model was converted to GGUF format from 'EleutherAI/pythia-70m' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
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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": []} | disroom/test_gemma-1.1-7b-it-0.01M | null | [
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# Model Card for Model ID
## Model Details
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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:** jurieyel
- **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", "gguf"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | jurieyel/77hr-tuned-Llama3-8b-4bit-GGUF-q4_K_M | null | [
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# Uploaded model
- Developed by: jurieyel
- License: apache-2.0
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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. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "JackFram/llama-68m", "model-index": [{"name": "data/llama-68m-20240502-0037", "results": []}]} | lu-vae/llama-68m-fft | null | [
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|
<img src="URL alt="Built with Axolotl" width="200" height="32"/>
<details><summary>See axolotl config</summary>
axolotl version: '0.4.0'
</details><br>
# data/llama-68m-20240502-0037
This model is a fine-tuned version of JackFram/llama-68m on the None dataset.
## Model description
More information needed
## ... | [
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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. -->
# toxic_generator_model
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achiev... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "gpt2", "model-index": [{"name": "toxic_generator_model", "results": []}]} | theastronuts/toxic_sentence_generator | null | [
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|
# toxic_generator_model
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
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- Accuracy: 0.4552
## Model description
More information needed
## Intended uses & limitations
More information needed
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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": []} | astro21/pix2struct-base-coco-f | null | [
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## Model Details
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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 | null | # Laura - Un sistema neuronal rápido y local de texto a voz que suena genial.
Bienvenido al repositorio del modelo de texto a voz Laura, basado en la arquitectura ONNX Runtime. Este modelo ha sido entrenado utilizando Piper, una plataforma de aprendizaje automático de última generación.
## Acerc... | {"language": ["es"], "license": "cc-by-nc-4.0", "tags": ["piper", "onnx", "HirCoir", "es_MX"]} | HirCoir/Piper-TTS-Laura | null | [
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!Laura
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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": []} | Luluuu/0502_T5_baseline_checkpoint_1000 | null | [
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## Model Details
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reinforcement-learning | transformers |
# TRL Model
This is a [TRL language model](https://github.com/huggingface/trl) that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TR... | {"license": "apache-2.0", "tags": ["trl", "ppo", "transformers", "reinforcement-learning"]} | pkbiswas/Phi-3-Detoxified-PPO-LoRa | null | [
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# TRL Model
This is a TRL language model that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TRL library:
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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": "beomi/KoAlpaca-Polyglot-5.8B"} | lee0901/synerEngine_v1 | null | [
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## Model Details
### Model Description
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- Funded by [optional]:
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- License:
- Finetuned from model [optional]:
### Model Sources [optional]
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text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | rubbrband/aingdiffusionXL_v125 | null | [
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This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tsuneakikato/bert-base-japanese-v3-jnli | null | [
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## 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 |
# Azazelle/L3-RP_io-Q6_K-GGUF
This model was converted to GGUF format from [`Azazelle/L3-RP_io`](https://huggingface.co/Azazelle/L3-RP_io) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/Azazelle/L3-R... | {"license": "llama3", "library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["ResplendentAI/Aura_Uncensored_l3_8B", "meta-llama/Meta-Llama-3-8B-Instruct", "ResplendentAI/Kei_Llama3_8B", "Undi95/Llama-3-Unholy-8B", "vicgalle/Roleplay-Llama-3-8B"]} | Azazelle/L3-RP_io-Q6_K-GGUF | null | [
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"base_model:vicgalle/Roleplay-Llama-3-8B"... | null | 2024-05-02T02:29:54+00:00 | [] | [] | TAGS
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# Azazelle/L3-RP_io-Q6_K-GGUF
This model was converted to GGUF format from 'Azazelle/L3-RP_io' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: You can als... | [
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null | transformers |
# Uploaded model
- **Developed by:** hamiejuice
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-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/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | hamiejuice/annotated-1poc | null | [
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|
# Uploaded model
- Developed by: hamiejuice
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-Instruct-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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audio-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. -->
# distilhubert-finetuned-gtzan
This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/disti... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["marsyas/gtzan"], "metrics": ["accuracy"], "base_model": "ntu-spml/distilhubert", "model-index": [{"name": "distilhubert-finetuned-gtzan", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name":... | Gunnika/distilhubert-finetuned-gtzan | null | [
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| distilhubert-finetuned-gtzan
============================
This model is a fine-tuned version of ntu-spml/distilhubert on the GTZAN dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5364
* Accuracy: 0.81
Model description
-----------------
More information needed
Intended uses & limit... | [
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object-detection | 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": []} | NekoJojo/DETRFaceDetection | null | [
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|
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## 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 | # nbeerbower/flammen23-mistral-7B AWQ
- Model creator: [nbeerbower](https://huggingface.co/nbeerbower)
- Original model: [flammen23-mistral-7B](https://huggingface.co/nbeerbower/flammen23-mistral-7B)
## How to use
### ... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "datasets": ["nbeerbower/bible-dpo"], "base_model": ["flammenai/flammen22X-mistral-7B"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Supariou... | solidrust/flammen23-mistral-7B-AWQ | null | [
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| # nbeerbower/flammen23-mistral-7B AWQ
- Model creator: nbeerbower
- Original model: flammen23-mistral-7B
!image/png
## How to use
### Install the necessary packages
### Example Python code
### About AWQ
AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/TeeZee/GALAXY-XB-v.03
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "TeeZee/GALAXY-XB-v.03", "no_imatrix": "nan-abort", "quantized_by": "mradermacher"} | mradermacher/GALAXY-XB-v.03-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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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": []} | lsr42/epic | null | [
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unconditional-image-generation | diffusers |
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('ericpotter/sd-class-butterf... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | ericpotter/sd-class-butterflies-32 | null | [
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#diffusers #safetensors #pytorch #unconditional-image-generation #diffusion-models-class #license-mit #diffusers-DDPMPipeline #region-us
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# Model Card for Unit 1 of the Diffusion Models Class
This model is a diffusion model for unconditional image generation of cute .
## Usage
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | cody628/t5-large_PREFIX_TUNING_SEQ2SEQ | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | vagarwal97/Mistral-7B-Instruct-FT-YTcomments | 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. -->
# shawgpt-ft
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistra... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "shawgpt-ft", "results": []}]} | vagarwal97/shawgpt-ft | null | [
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| shawgpt-ft
==========
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8743
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** Lawlux
- **License:** apache-2.0
- **Finetuned from model :** meta-llama/Meta-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/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct"} | Lawlux/Lixo-Meta-Llama-3-8B-Instruct | null | [
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|
# Uploaded model
- Developed by: Lawlux
- License: apache-2.0
- Finetuned from model : meta-llama/Meta-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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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": []} | lsr42/sparta | null | [
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text-generation | null |
## Exllama v2 Quantizations of Hermes-2-Pro-Llama-3-8B
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.20">turboderp's ExLlamaV2 v0.0.20</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each branch... | {"language": ["en"], "license": "apache-2.0", "tags": ["Llama-3", "instruct", "finetune", "chatml", "DPO", "RLHF", "gpt4", "synthetic data", "distillation", "function calling", "json mode", "axolotl"], "datasets": ["teknium/OpenHermes-2.5"], "base_model": "NousResearch/Meta-Llama-3-8B", "widget": [{"example_title": "He... | bartowski/Hermes-2-Pro-Llama-3-8B-exl2 | null | [
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| Exllama v2 Quantizations of Hermes-2-Pro-Llama-3-8B
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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": []} | lsr42/splade | null | [
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null | transformers |
# Uploaded model
- **Developed by:** Samoed
- **License:** apache-2.0
- **Finetuned from model :** unsloth/Phi-3-mini-4k-instruct-bnb-4bit
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/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/Phi-3-mini-4k-instruct-bnb-4bit"} | Samoed/PRGen-Phi-3-mini-4k-instruct-4bit-LoRA | null | [
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# Uploaded model
- Developed by: Samoed
- License: apache-2.0
- Finetuned from model : unsloth/Phi-3-mini-4k-instruct-bnb-4bit
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text-generation | transformers | Quantizations of https://huggingface.co/HuggingFaceH4/zephyr-7b-beta
# From original readme
## Model description
- **Model type:** A 7B parameter GPT-like model fine-tuned on a mix of publicly available, synthetic datasets.
- **Language(s) (NLP):** Primarily English
- **License:** MIT
- **Finetuned from model:** [mi... | {"language": ["en"], "license": "other", "tags": ["transformers", "gguf", "imatrix", "zephyr-7b-beta"], "pipeline_tag": "text-generation", "inference": false} | duyntnet/zephyr-7b-beta-imatrix-GGUF | null | [
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| Quantizations of URL
# From original readme
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- Language(s) (NLP): Primarily English
- License: MIT
- Finetuned from model: mistralai/Mistral-7B-v0.1
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text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | rubbrband/sdxlHK_v097bCOSXL | null | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GOLM3
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
It ... | {"license": "gemma", "tags": ["generated_from_trainer"], "base_model": "google/gemma-2b", "model-index": [{"name": "GOLM3", "results": []}]} | Litzy619/GOLM3 | null | [
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| GOLM3
=====
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1033
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Train... | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GOLM2
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
It ... | {"license": "gemma", "tags": ["generated_from_trainer"], "base_model": "google/gemma-2b", "model-index": [{"name": "GOLM2", "results": []}]} | Litzy619/GOLM2 | null | [
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#safetensors #generated_from_trainer #base_model-google/gemma-2b #license-gemma #region-us
| GOLM2
=====
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1067
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Train... | [
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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": []} | ikno/rinko_300_labeling_lr_1e-5 | null | [
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|
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## 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]:
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GOLM1
This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
It ... | {"license": "gemma", "tags": ["generated_from_trainer"], "base_model": "google/gemma-2b", "model-index": [{"name": "GOLM1", "results": []}]} | Litzy619/GOLM1 | null | [
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#safetensors #generated_from_trainer #base_model-google/gemma-2b #license-gemma #region-us
| GOLM1
=====
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1016
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Train... | [
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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 Chilean Spanish Large v3
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/w... | {"language": ["es"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["Mezosky/es_clinical_assistance_10k"], "metrics": ["wer"], "base_model": "openai/whisper-large-v3", "model-index": [{"name": "Whisper Chilean Spanish Large v3", "results": [{"task": {"type": "automatic-speech-recognition", "n... | Mezosky/whisper-large-v3-clinical-assistance | null | [
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| Whisper Chilean Spanish Large v3
================================
This model is a fine-tuned version of openai/whisper-large-v3 on the Mezosky/es\_clinical\_assistance\_10k dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0961
* Wer: 6.9352
Model description
-----------------
More inf... | [
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null | transformers | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Syed-Hasan-8503/Versatile-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sho... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "Syed-Hasan-8503/Versatile-7B", "quantized_by": "mradermacher"} | mradermacher/Versatile-7B-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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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. -->
# whisper4
This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the ti... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-tiny.en", "model-index": [{"name": "whisper4", "results": []}]} | khaingsmon/whisper4 | null | [
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| whisper4
========
This model is a fine-tuned version of openai/URL on the tiny dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5409
* Wer: 28.2719
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ... | [
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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"]} | vkrishanan569/tinyllamaforlaw | 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 |
# Uploaded model
- **Developed by:** xkiwilabs
- **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"} | xkiwilabs/lora_opLLama3_modelv7 | null | [
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text-to-audio | 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. -->
# ceb_b128_le5_s4000
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts)... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "ceb_b128_le5_s4000", "results": []}]} | mikhail-panzo/ceb_b128_le5_s4000 | null | [
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| ceb\_b128\_le5\_s4000
=====================
This model is a fine-tuned version of microsoft/speecht5\_tts on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3943
Model description
-----------------
More information needed
Intended uses & limitations
---------------------... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** theGhoul21
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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|
# Uploaded model
- Developed by: theGhoul21
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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": []} | wuzhongyanqiu/dummy-model | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# miniCPM-2b-chatml
This model is a fine-tuned version of [openbmb/MiniCPM-2B-128k](https://huggingface.co/openbmb/MiniCPM-2B-128k... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "openbmb/MiniCPM-2B-128k", "model-index": [{"name": "miniCPM-2b-chatml", "results": []}]} | DuongTrongChi/miniCPM-2b-chatml | null | [
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|
# miniCPM-2b-chatml
This model is a fine-tuned version of openbmb/MiniCPM-2B-128k on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperpara... | [
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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": []} | DuongTrongChi/minicpm-test | 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 | ## About
<!-- ### quantize_version: 2 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Weyaxi/Bagel-Hermes-34B-Slerp
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Bagel-Herme... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "Weyaxi/Bagel-Hermes-34B-Slerp", "license_link": "https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE", "license_name": "yi-license", "quantized_by": "mradermacher"} | mradermacher/Bagel-Hermes-34B-Slerp-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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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. -->
# 0.0001_withdpo_4iters_bs256_5101lr_iter_4
This model is a fine-tuned version of [ShenaoZ/0.0001_withdpo_4iters_bs256_511lr_iter_... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.0001_withdpo_4iters_bs256_511lr_iter_3", "model-index": [{"name": "0.0001_withdpo_4iters_bs256_5101lr_iter_4", "results": []}]} | ShenaoZ/0.0001_withdpo_4iters_bs256_5101lr_iter_4 | null | [
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|
# 0.0001_withdpo_4iters_bs256_5101lr_iter_4
This model is a fine-tuned version of ShenaoZ/0.0001_withdpo_4iters_bs256_511lr_iter_3 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More ... | [
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text-generation | transformers |
I'm back and doing well! I've got a job in the field now, so we'll see in the long run how that effects my open source output.
Here we have a 11b Llama 3 instruct model for future work.
EDIT: Made a yaml mistake with part funnel, but it still works well.
---
![image/png](https://cdn-uploads.huggingface.co/producti... | {"license": "llama3"} | athirdpath/Llama-3-11b-Instruct | null | [
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#transformers #safetensors #llama #text-generation #conversational #license-llama3 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
I'm back and doing well! I've got a job in the field now, so we'll see in the long run how that effects my open source output.
Here we have a 11b Llama 3 instruct model for future work.
EDIT: Made a yaml mistake with part funnel, but it still works well.
---
!image/png
This is a merge stock of 3 models:
- Part W... | [] | [
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text-classification | transformers | We have finetuned BERT base on Brown corpus to predict if a text was written using a non-fiction straight forward style or a fictional descriptive style. Here fiction and non-fiction only refers to the writing style and not to factual correctness of whats written in the text. For more details, please see this blog and ... | {} | bekushal/FictoBERT | null | [
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"text-classification",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-05-02T03:05:30+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #text-classification #autotrain_compatible #endpoints_compatible #region-us
| We have finetuned BERT base on Brown corpus to predict if a text was written using a non-fiction straight forward style or a fictional descriptive style. Here fiction and non-fiction only refers to the writing style and not to factual correctness of whats written in the text. For more details, please see this blog and ... | [] | [
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null | transformers |
# Uploaded model
- **Developed by:** jurieyel
- **License:** apache-2.0
- **Finetuned from model :** unsloth/tinyllama-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/tinyllama-bnb-4bit"} | jurieyel/text2sql-tinyllama-4bit | null | [
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|
# Uploaded model
- Developed by: jurieyel
- License: apache-2.0
- Finetuned from model : unsloth/tinyllama-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 | 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"]} | jurieyel/text2sql-tinyllama-4bit-tokenizer | null | [
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] | [] | TAGS
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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]:
- Model type:
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-de
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de", "results": []}]} | gopidon/xlm-roberta-base-finetuned-panx-de | null | [
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"region:us"
] | null | 2024-05-02T03:06:22+00:00 | [] | [] | TAGS
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| xlm-roberta-base-finetuned-panx-de
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1406
* F1: 0.8628
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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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": []} | hi000000/insta_llama2-koen | null | [
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"endpoints_compatible",
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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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. -->
# mi-super-modelo
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown da... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "mi-super-modelo", "results": []}]} | miguelpr/mi-super-modelo | null | [
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#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| mi-super-modelo
===============
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6450
* Accuracy: 0.125
Model description
-----------------
More information needed
Intended uses & limitations
-----------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1",
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text-generation | transformers | Experimental: Tiefighter Expanded to 15.6 B / 48 layers.
# D_AU-Tiefighter-Expanded-13B-pass
D_AU-Tiefighter-Expanded-13B-pass is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [KoboldAI/LLaMA2-13B-Tiefighter](https://hugg... | {"tags": ["merge", "mergekit", "lazymergekit", "KoboldAI/LLaMA2-13B-Tiefighter"], "base_model": ["KoboldAI/LLaMA2-13B-Tiefighter", "KoboldAI/LLaMA2-13B-Tiefighter"]} | DavidAU/D_AU-Tiefighter-Expanded-13B-pass | null | [
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| Experimental: Tiefighter Expanded to 15.6 B / 48 layers.
# D_AU-Tiefighter-Expanded-13B-pass
D_AU-Tiefighter-Expanded-13B-pass is a merge of the following models using LazyMergekit:
* KoboldAI/LLaMA2-13B-Tiefighter
* KoboldAI/LLaMA2-13B-Tiefighter
## Configuration
## Usage
| [
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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. -->
# S1_InstructionGeneratorDelta
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "S1_InstructionGeneratorDelta", "results": []}]} | gjonesQ02/S1_InstructionGeneratorDelta | null | [
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| S1\_InstructionGeneratorDelta
=============================
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0789
Model description
-----------------
More information needed
Intended uses & limitations
------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 24",
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null | transformers |
# Uploaded model
- **Developed by:** theGhoul21
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "gguf"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | theGhoul21/srl-sft-010524-Q8_0-v0.2 | null | [
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|
# Uploaded model
- Developed by: theGhoul21
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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. -->
# whisperFinetuneFinal
This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.e... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-tiny.en", "model-index": [{"name": "whisperFinetuneFinal", "results": []}]} | shljessie/whisperFinetuneFinal | null | [
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"license:apache-2.0",
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| whisperFinetuneFinal
====================
This model is a fine-tuned version of openai/URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5711
* Wer: 22.2920
Model description
-----------------
More information needed
Intended uses & limitations
---------------------... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swinv2-base-patch4-window8-256-finetuned-ind-17-imbalanced-aadhaarmask
This model is a fine-tuned version of [microsoft/swinv2-b... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy", "recall", "f1", "precision"], "base_model": "microsoft/swinv2-base-patch4-window8-256", "model-index": [{"name": "swinv2-base-patch4-window8-256-finetuned-ind-17-imbalanced-aadhaarmask", "results": [{"task... | Kushagra07/swinv2-base-patch4-window8-256-finetuned-ind-17-imbalanced-aadhaarmask | null | [
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| swinv2-base-patch4-window8-256-finetuned-ind-17-imbalanced-aadhaarmask
======================================================================
This model is a fine-tuned version of microsoft/swinv2-base-patch4-window8-256 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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automatic-speech-recognition | 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": []} | JunWorks/Quantized_4bit_WhisperSmallOri_FP16 | null | [
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## 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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- Model type:
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- License... | [
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null | transformers |
# Uploaded model
- **Developed by:** theGhoul21
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "gguf"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | theGhoul21/srl-sft-010524-gguf-16bit-v0.2 | null | [
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# Uploaded model
- Developed by: theGhoul21
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
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<img src="URL width="200"/>
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null | transformers |
# Llama-3-KoEn-8B-xtuner-llava-preview 🌋
<!-- Provide a quick summary of what the model is/does. -->
Llama-3-KoEn-8B-xtuner-llava-preview 🌋 is Korean based MutliModal based on Llava architecture, merged with [ChatVector](https://arxiv.org/abs/2310.04799) methods leveraging 2 models:
1) [beomi/Llama-3-KoEn-8B-prev... | {"language": ["ko", "en"], "license": "cc-by-nc-sa-4.0", "library_name": "transformers"} | beomi/Llama-3-KoEn-8B-xtuner-llava-preview | null | [
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"arxiv:2310.04799",
"license:cc-by-nc-sa-4.0",
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"2310.04799"
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|
# Llama-3-KoEn-8B-xtuner-llava-preview
Llama-3-KoEn-8B-xtuner-llava-preview is Korean based MutliModal based on Llava architecture, merged with ChatVector methods leveraging 2 models:
1) beomi/Llama-3-KoEn-8B-preview
2) xtuner/llava-llama-3-8b-transformers
## Model Details
### Model Description
- Developed by... | [
"# Llama-3-KoEn-8B-xtuner-llava-preview \n\n\n\nLlama-3-KoEn-8B-xtuner-llava-preview is Korean based MutliModal based on Llava architecture, merged with ChatVector methods leveraging 2 models: \n1) beomi/Llama-3-KoEn-8B-preview\n2) xtuner/llava-llama-3-8b-transformers",
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text-generation | transformers |
# Llama-3-OpenBioMed-8B-slerp-v0.2
Llama-3-OpenBioMed-8B-slerp-v0.2 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [aaditya/Llama3-OpenBioLLM-8B](https://huggingface.co/aaditya/Llama3-OpenBioLLM-8B)
* [johnsnowlabs/JSL-... | {"tags": ["merge", "mergekit", "lazymergekit", "aaditya/Llama3-OpenBioLLM-8B", "johnsnowlabs/JSL-MedLlama-3-8B-v2.0"], "base_model": ["aaditya/Llama3-OpenBioLLM-8B", "johnsnowlabs/JSL-MedLlama-3-8B-v2.0"]} | abhinand/Llama-3-OpenBioMed-8B-slerp-v0.2 | null | [
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# Llama-3-OpenBioMed-8B-slerp-v0.2
Llama-3-OpenBioMed-8B-slerp-v0.2 is a merge of the following models using LazyMergekit:
* aaditya/Llama3-OpenBioLLM-8B
* johnsnowlabs/JSL-MedLlama-3-8B-v2.0
## Configuration
## Usage
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | TinyPixel/llama-3-adapter3 | null | [
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text-generation | null |
## Llamacpp imatrix Quantizations of Hermes-2-Pro-Llama-3-8B
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2777">b2777</a> for quantization.
Original model: https://huggingface.co/NousResearch/Hermes-2-Pro-Llama-3-8B
All q... | {"language": ["en"], "license": "apache-2.0", "tags": ["Llama-3", "instruct", "finetune", "chatml", "DPO", "RLHF", "gpt4", "synthetic data", "distillation", "function calling", "json mode", "axolotl"], "datasets": ["teknium/OpenHermes-2.5"], "base_model": "NousResearch/Meta-Llama-3-8B", "widget": [{"example_title": "He... | bartowski/Hermes-2-Pro-Llama-3-8B-GGUF | null | [
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| Llamacpp imatrix Quantizations of Hermes-2-Pro-Llama-3-8B
---------------------------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
All quants made using imatrix option with dataset provided by Kalomaze here
Prompt format
-------------
Download a f... | [] | [
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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": []} | ryanyeo/kirnect-Llama-3-Open-Ko-8B-Instruct-preview-0501-5150step-8batch_5epoch | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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- License... | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_qa_model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "my_awesome_qa_model", "results": []}]} | novalentino94/my_awesome_qa_model | null | [
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| my\_awesome\_qa\_model
======================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8364
Model description
-----------------
More information needed
Intended uses & limitations
-------------------... | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# DreamBooth - yuffish/plush-1.5
This is a dreambooth model derived from runwayml/stable-diffusion-v1-5. The weights were... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "dreambooth", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers"], "inference": true, "base_model": "runwayml/stable-diffusion-v1-5", "instance_prompt": "a photo of sks object"} | yuffish/plush-1.5 | null | [
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|
# DreamBooth - yuffish/plush-1.5
This is a dreambooth model derived from runwayml/stable-diffusion-v1-5. The weights were trained on a photo of sks object using DreamBooth.
You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
## Intended uses & limitations
#... | [
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text-generation | transformers |
> **CAUTION:** This model scores high on the Leaderboard but outputs gibberish!
# Llama-3-OpenBioMed-8B-slerp-v0.3
Llama-3-OpenBioMed-8B-slerp-v0.3 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Jayant9928/orpo_med_v... | {"license": "llama3", "tags": ["merge", "mergekit", "lazymergekit", "Jayant9928/orpo_med_v3", "skumar9/Llama-medx_v3"], "base_model": ["Jayant9928/orpo_med_v3", "skumar9/Llama-medx_v3"]} | abhinand/Llama-3-OpenBioMed-8B-slerp-v0.3 | null | [
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|
> CAUTION: This model scores high on the Leaderboard but outputs gibberish!
# Llama-3-OpenBioMed-8B-slerp-v0.3
Llama-3-OpenBioMed-8B-slerp-v0.3 is a merge of the following models using LazyMergekit:
* Jayant9928/orpo_med_v3
* skumar9/Llama-medx_v3
## Configuration
## Usage
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null | peft |
**Note**: This model card has been generated automatically according to the information the Trainer had access to.
Visit the [model card](https://ritvik19.github.io/zephyr-mini/) to see the full description.
# zephyr-danube-sft-qlora
This model is a fine-tuned version of [h2oai/h2o-danube-1.8b-base](https://hugging... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k"], "base_model": "h2oai/h2o-danube-1.8b-base", "model-index": [{"name": "zephyr-danube-sft-qlora", "results": []}]} | Ritvik19/zephyr-danube-sft-qlora | null | [
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| Note: This model card has been generated automatically according to the information the Trainer had access to.
Visit the model card to see the full description.
zephyr-danube-sft-qlora
=======================
This model is a fine-tuned version of h2oai/h2o-danube-1.8b-base on the HuggingFaceH4/ultrachat\_200k datas... | [
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null | transformers |
# Uploaded model
- **Developed by:** theGhoul21
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "gguf"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | theGhoul21/srl-sft-010524-gguf-q4_k_m-v0.2 | null | [
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# Uploaded model
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- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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
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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": []} | Ayon128/CM_BN_EN_0 | 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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