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null | transformers |
# Uploaded model
- **Developed by:** arvnoodle
- **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/unslotha... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | arvnoodle/hcl-llama3-it-8b_UPDATED-xml-json | null | [
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# Uploaded model
- Developed by: arvnoodle
- 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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text-generation | transformers |
# D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO
D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Eric111/Yarn-Mistral-7b-128k-DPO](https://huggingface.co/Eric111/Yarn-Mistral-7... | {"tags": ["merge", "mergekit", "lazymergekit", "Eric111/Yarn-Mistral-7b-128k-DPO", "saishf/Multi-Verse-RP-7B"], "base_model": ["Eric111/Yarn-Mistral-7b-128k-DPO", "saishf/Multi-Verse-RP-7B"]} | DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO | null | [
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# D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO
D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO is a merge of the following models using LazyMergekit:
* Eric111/Yarn-Mistral-7b-128k-DPO
* saishf/Multi-Verse-RP-7B
## 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. -->
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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. -->
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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": []} | Mariofm02/BartCNN_MoE_Business_News | null | [
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text-generation | transformers | Based on Meta-Llama-3-8b-Instruct, and is governed by Meta Llama 3 License agreement:
https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct
Mostly an experiment trying to completely uncensor the model, doesn't seem to be near as good as the original in reasoning and knowledge. It is however pretty good for RP.
... | {"license": "llama3"} | AwanLLM/Llama-3-8B-Cumulus-v0.1 | null | [
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| Based on Meta-Llama-3-8b-Instruct, and is governed by Meta Llama 3 License agreement:
URL
Mostly an experiment trying to completely uncensor the model, doesn't seem to be near as good as the original in reasoning and knowledge. It is however pretty good for RP.
Will soon have quants uploaded here on HF and have it ... | [] | [
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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": []} | davidkim205/gemma-1.1-2b-it-stockname_103k-sft-lora | null | [
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text-generation | transformers | # Vezora/Dolphin-llama-Instruct-8b AWQ
- Model creator: [Vezora](https://huggingface.co/Vezora)
- Original model: [Dolphin-llama-Instruct-8b](https://huggingface.co/Vezora/Dolphin-llama-Instruct-8b)
## How to use
### Install the necessary packages
```bash
pip install --upgrade autoawq autoawq-kernels
```
### Exa... | {"license": "llama3", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/Vezora-Dolphin-llama-Instruct-8b-AWQ | null | [
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| # Vezora/Dolphin-llama-Instruct-8b AWQ
- Model creator: Vezora
- Original model: Dolphin-llama-Instruct-8b
## How to use
### Install the necessary packages
### Example Python code
### About AWQ
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text-generation | transformers | license: other | {} | Prashantmdgl9/Indic_small_5_lang | null | [
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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. -->
# NDD-claroline_test-content
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-bas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "NDD-claroline_test-content", "results": []}]} | lgk03/NDD-claroline_test-content | null | [
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| NDD-claroline\_test-content
===========================
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: 0.0265
* Accuracy: 0.9928
* F1: 0.9929
* Precision: 0.9931
* Recall: 0.9928
Model description
--------------... | [
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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. -->
# bert-finetuned-ner
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-finetuned-ner", "results": []}]} | doxiy/bert-finetuned-ner | null | [
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#transformers #tensorboard #safetensors #bert #token-classification #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| bert-finetuned-ner
==================
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: 0.0621
* Precision: 0.9396
* Recall: 0.9456
* F1: 0.9426
* Accuracy: 0.9861
Model description
-----------------
More information nee... | [
"### 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... | [
"TAGS\n#transformers #tensorboard #safetensors #bert #token-classification #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# flan-t5-base-finetuned-scope-summarization
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/go... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/flan-t5-base", "model-index": [{"name": "flan-t5-base-finetuned-scope-summarization", "results": []}]} | nandavikas16/flan-t5-base-finetuned-scope-summarization | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
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"base_model:google/flan-t5-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-30T08:09:24+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-google/flan-t5-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| flan-t5-base-finetuned-scope-summarization
==========================================
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: 0.2068
* Rouge1: 21.1277
* Rouge2: 12.8385
* Rougel: 19.2508
* Rougelsum: 19.1904
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5.6e-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: 10",
"### Train... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used dur... | [
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null | null |
# DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO-Q8_0-GGUF
This model was converted to GGUF format from [`DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO`](https://huggingface.co/DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spa... | {"tags": ["merge", "mergekit", "lazymergekit", "Eric111/Yarn-Mistral-7b-128k-DPO", "saishf/Multi-Verse-RP-7B", "llama-cpp", "gguf-my-repo"], "base_model": ["Eric111/Yarn-Mistral-7b-128k-DPO", "saishf/Multi-Verse-RP-7B"]} | DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO-Q8_0-GGUF | null | [
"gguf",
"merge",
"mergekit",
"lazymergekit",
"Eric111/Yarn-Mistral-7b-128k-DPO",
"saishf/Multi-Verse-RP-7B",
"llama-cpp",
"gguf-my-repo",
"base_model:Eric111/Yarn-Mistral-7b-128k-DPO",
"base_model:saishf/Multi-Verse-RP-7B",
"region:us"
] | null | 2024-04-30T08:09:56+00:00 | [] | [] | TAGS
#gguf #merge #mergekit #lazymergekit #Eric111/Yarn-Mistral-7b-128k-DPO #saishf/Multi-Verse-RP-7B #llama-cpp #gguf-my-repo #base_model-Eric111/Yarn-Mistral-7b-128k-DPO #base_model-saishf/Multi-Verse-RP-7B #region-us
|
# DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO-Q8_0-GGUF
This model was converted to GGUF format from 'DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO' 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.
I... | [
"# DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO-Q8_0-GGUF\nThis model was converted to GGUF format from 'DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL thro... | [
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"# DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO-Q8_0-GGUF\nThis model was conve... | [
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"TAGS\n#gguf #merge #mergekit #lazymergekit #Eric111/Yarn-Mistral-7b-128k-DPO #saishf/Multi-Verse-RP-7B #llama-cpp #gguf-my-repo #base_model-Eric111/Yarn-Mistral-7b-128k-DPO #base_model-saishf/Multi-Verse-RP-7B #region-us \n# DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO-Q8_0-GGUF\nThis model was converted t... |
null | null |
# DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO-Q6_K-GGUF
This model was converted to GGUF format from [`DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO`](https://huggingface.co/DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spa... | {"tags": ["merge", "mergekit", "lazymergekit", "Eric111/Yarn-Mistral-7b-128k-DPO", "saishf/Multi-Verse-RP-7B", "llama-cpp", "gguf-my-repo"], "base_model": ["Eric111/Yarn-Mistral-7b-128k-DPO", "saishf/Multi-Verse-RP-7B"]} | DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO-Q6_K-GGUF | null | [
"gguf",
"merge",
"mergekit",
"lazymergekit",
"Eric111/Yarn-Mistral-7b-128k-DPO",
"saishf/Multi-Verse-RP-7B",
"llama-cpp",
"gguf-my-repo",
"base_model:Eric111/Yarn-Mistral-7b-128k-DPO",
"base_model:saishf/Multi-Verse-RP-7B",
"region:us"
] | null | 2024-04-30T08:11:03+00:00 | [] | [] | TAGS
#gguf #merge #mergekit #lazymergekit #Eric111/Yarn-Mistral-7b-128k-DPO #saishf/Multi-Verse-RP-7B #llama-cpp #gguf-my-repo #base_model-Eric111/Yarn-Mistral-7b-128k-DPO #base_model-saishf/Multi-Verse-RP-7B #region-us
|
# DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO-Q6_K-GGUF
This model was converted to GGUF format from 'DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO' 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.
I... | [
"# DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO-Q6_K-GGUF\nThis model was converted to GGUF format from 'DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL thro... | [
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"# DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO-Q6_K-GGUF\nThis model was conve... | [
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"TAGS\n#gguf #merge #mergekit #lazymergekit #Eric111/Yarn-Mistral-7b-128k-DPO #saishf/Multi-Verse-RP-7B #llama-cpp #gguf-my-repo #base_model-Eric111/Yarn-Mistral-7b-128k-DPO #base_model-saishf/Multi-Verse-RP-7B #region-us \n# DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO-Q6_K-GGUF\nThis model was converted t... |
null | null |
# DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO-Q4_K_M-GGUF
This model was converted to GGUF format from [`DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO`](https://huggingface.co/DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/s... | {"tags": ["merge", "mergekit", "lazymergekit", "Eric111/Yarn-Mistral-7b-128k-DPO", "saishf/Multi-Verse-RP-7B", "llama-cpp", "gguf-my-repo"], "base_model": ["Eric111/Yarn-Mistral-7b-128k-DPO", "saishf/Multi-Verse-RP-7B"]} | DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO-Q4_K_M-GGUF | null | [
"gguf",
"merge",
"mergekit",
"lazymergekit",
"Eric111/Yarn-Mistral-7b-128k-DPO",
"saishf/Multi-Verse-RP-7B",
"llama-cpp",
"gguf-my-repo",
"base_model:Eric111/Yarn-Mistral-7b-128k-DPO",
"base_model:saishf/Multi-Verse-RP-7B",
"region:us"
] | null | 2024-04-30T08:12:34+00:00 | [] | [] | TAGS
#gguf #merge #mergekit #lazymergekit #Eric111/Yarn-Mistral-7b-128k-DPO #saishf/Multi-Verse-RP-7B #llama-cpp #gguf-my-repo #base_model-Eric111/Yarn-Mistral-7b-128k-DPO #base_model-saishf/Multi-Verse-RP-7B #region-us
|
# DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO-Q4_K_M-GGUF
This model was converted to GGUF format from 'DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO' 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.
... | [
"# DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL th... | [
"TAGS\n#gguf #merge #mergekit #lazymergekit #Eric111/Yarn-Mistral-7b-128k-DPO #saishf/Multi-Verse-RP-7B #llama-cpp #gguf-my-repo #base_model-Eric111/Yarn-Mistral-7b-128k-DPO #base_model-saishf/Multi-Verse-RP-7B #region-us \n",
"# DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO-Q4_K_M-GGUF\nThis model was con... | [
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"TAGS\n#gguf #merge #mergekit #lazymergekit #Eric111/Yarn-Mistral-7b-128k-DPO #saishf/Multi-Verse-RP-7B #llama-cpp #gguf-my-repo #base_model-Eric111/Yarn-Mistral-7b-128k-DPO #base_model-saishf/Multi-Verse-RP-7B #region-us \n# DavidAU/D_AU-Multi-Verse-RP-Yarn-Mistral-7b-128k-DPO-Q4_K_M-GGUF\nThis model was converted... |
null | null |
# Llama3-8B Lora adapter for Galician language
This repository houses a specialized LoRA (Low-Rank Adaptation) Adapter designed specifically for fine-tuning Meta's LLaMA 3-8B Instruct version for applications involving the Galician language. The purpose of this adapter is to efficiently adapt the pre-trained model, w... | {"language": ["gl", "en"], "license": "apache-2.0", "datasets": ["irlab-udc/alpaca_data_galician"]} | abrahammg/Llama3-8B-Galician-Chat-Lora | null | [
"safetensors",
"gl",
"en",
"dataset:irlab-udc/alpaca_data_galician",
"license:apache-2.0",
"region:us"
] | null | 2024-04-30T08:14:14+00:00 | [] | [
"gl",
"en"
] | TAGS
#safetensors #gl #en #dataset-irlab-udc/alpaca_data_galician #license-apache-2.0 #region-us
|
# Llama3-8B Lora adapter for Galician language
This repository houses a specialized LoRA (Low-Rank Adaptation) Adapter designed specifically for fine-tuning Meta's LLaMA 3-8B Instruct version for applications involving the Galician language. The purpose of this adapter is to efficiently adapt the pre-trained model, w... | [
"# Llama3-8B Lora adapter for Galician language\n\nThis repository houses a specialized LoRA (Low-Rank Adaptation) Adapter designed specifically for fine-tuning Meta's LLaMA 3-8B Instruct version for applications involving the Galician language. The purpose of this adapter is to efficiently adapt the pre-trained mo... | [
"TAGS\n#safetensors #gl #en #dataset-irlab-udc/alpaca_data_galician #license-apache-2.0 #region-us \n",
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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. -->
# meditron-7b-dpo-full-sft-wo-kqa_golden
This model is a fine-tuned version of [Minbyul/meditron-7b-wo-kqa_golden-sft](https://hug... | {"license": "llama2", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "Minbyul/meditron-7b-wo-kqa_golden-sft", "model-index": [{"name": "meditron-7b-dpo-full-sft-wo-kqa_golden", "results"... | Minbyul/meditron-7b-dpo-full-sft-wo-kqa_golden | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"alignment-handbook",
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"base_model:Minbyul/meditron-7b-wo-kqa_golden-sft",
"license:llama2",
"autotrain_compatible",
"endpoints_compatible",
"t... | null | 2024-04-30T08:14:16+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #alignment-handbook #trl #dpo #generated_from_trainer #dataset-HuggingFaceH4/ultrafeedback_binarized #base_model-Minbyul/meditron-7b-wo-kqa_golden-sft #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# meditron-7b-dpo-full-sft-wo-kqa_golden
This model is a fine-tuned version of Minbyul/meditron-7b-wo-kqa_golden-sft on the HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6415
- Rewards/chosen: -0.0188
- Rewards/rejected: -0.1421
- Rewards/accuracie... | [
"# meditron-7b-dpo-full-sft-wo-kqa_golden\n\nThis model is a fine-tuned version of Minbyul/meditron-7b-wo-kqa_golden-sft on the HuggingFaceH4/ultrafeedback_binarized dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.6415\n- Rewards/chosen: -0.0188\n- Rewards/rejected: -0.1421\n- Rewards/... | [
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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": []} | swastikdubey123/biobert_test1 | null | [
"transformers",
"safetensors",
"bert",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T08:16:14+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #bert #text-classification #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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text2text-generation | transformers |
# Mushkil
This repository hosts the `Mushkil` model, an AraT5V2 model fine-tuned for the task of Arabic text diacritization. The model treats diacritization as a machine translation problem, translating from undiacritized to diacritized Arabic text. It has been trained and validated on a dataset of over 550,000 Arabi... | {"language": ["ar"], "license": "apache-2.0"} | riotu-lab/mushkil | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"ar",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-30T08:16:47+00:00 | [] | [
"ar"
] | TAGS
#transformers #safetensors #t5 #text2text-generation #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Mushkil
This repository hosts the 'Mushkil' model, an AraT5V2 model fine-tuned for the task of Arabic text diacritization. The model treats diacritization as a machine translation problem, translating from undiacritized to diacritized Arabic text. It has been trained and validated on a dataset of over 550,000 Arabi... | [
"# Mushkil\n\nThis repository hosts the 'Mushkil' model, an AraT5V2 model fine-tuned for the task of Arabic text diacritization. The model treats diacritization as a machine translation problem, translating from undiacritized to diacritized Arabic text. It has been trained and validated on a dataset of over 550,000... | [
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"TAGS\n#transformers #safetensors #t5 #text2text-generation #ar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Mushkil\n\nThis repository hosts the 'Mushkil' model, an AraT5V2 model fine-tuned for the task of Arabic text diacritization. The model treats dia... |
text-generation | transformers |
# Quant Infos
## Includes latest bpe tokenizer fixes 🎉
- Updated for latest 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
- fixed end token for instruct... | {"language": ["en"], "license": "other", "tags": ["meta", "llama-3", "gguf", "imatrix", "importance matrix"], "base_model": "gradientai/Llama-3-8B-Instruct-Gradient-1048k", "pipeline_tag": "text-generation", "license_name": "llama3"} | qwp4w3hyb/Llama-3-8B-Instruct-Gradient-1048k-iMat-GGUF | null | [
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"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"en"
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| Quant Infos
===========
Includes latest bpe tokenizer fixes
-----------------------------------
* Updated for latest bpe pre-tokenizer fixes URL
* quants done with an importance matrix for improved quantization loss
* K & IQ quants in basically all variants from Q6\_K down to IQ1\_S
* fixed end token for instruct m... | [
"### Use with transformers\n\n\nYou can run conversational inference using the Transformers pipeline abstraction, or by leveraging the Auto classes with the 'generate()' function. Let's see examples of both.",
"#### Transformers pipeline",
"#### Transformers AutoModelForCausalLM",
"### Use with 'llama3'\n\n\n... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_opus_books_model
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown data... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "t5-small", "model-index": [{"name": "my_awesome_opus_books_model", "results": []}]} | bzdz/my_awesome_opus_books_model | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-30T08:18:29+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-t5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| my\_awesome\_opus\_books\_model
===============================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1877
* Bleu: 0.2218
* Gen Len: 18.2253
Model description
-----------------
More information needed
Intended u... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2\n* mixed\\_prec... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="AhmedTarek/q-Taxi-v3-2nd", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3-2nd", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.5... | AhmedTarek/q-Taxi-v3-2nd | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-30T08:18:55+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
| [
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] |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | archbold/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-30T08:20:41+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
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": []} | usernameisanna/blip-2-deit-no-seed-epoch-1 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T08:21:15+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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": []} | huseinzol05/Meta-Llama-3-8B-Instruct-fix-tokenizer | null | [
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"arxiv:1910.09700",
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | Mariofm02/BartCNN_MoE_Politics_News | null | [
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #bart #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... | [
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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. -->
# Meta-Llama-3-8B-Instruct_fictional_arc_Spanish_v2
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](ht... | {"license": "other", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Meta-Llama-3-8B-Instruct_fictional_arc_Spanish_v2", "results": []}]} | yzhuang/Meta-Llama-3-8B-Instruct_fictional_arc_Spanish_v2 | null | [
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|
# Meta-Llama-3-8B-Instruct_fictional_arc_Spanish_v2
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
#... | [
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"## Intended uses & limitations\n\nMore information needed",
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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. -->
# O0430HMA4
This model is a fine-tuned version of [allenai/OLMo-1B](https://huggingface.co/allenai/OLMo-1B) on an unknown dataset.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "allenai/OLMo-1B", "model-index": [{"name": "O0430HMA4", "results": []}]} | Litzy619/O0430HMA4 | null | [
"safetensors",
"generated_from_trainer",
"base_model:allenai/OLMo-1B",
"license:apache-2.0",
"region:us"
] | null | 2024-04-30T08:24:34+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-allenai/OLMo-1B #license-apache-2.0 #region-us
| O0430HMA4
=========
This model is a fine-tuned version of allenai/OLMo-1B on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0538
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
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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. -->
# O0430HMA5
This model is a fine-tuned version of [allenai/OLMo-1B](https://huggingface.co/allenai/OLMo-1B) on an unknown dataset.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "allenai/OLMo-1B", "model-index": [{"name": "O0430HMA5", "results": []}]} | Litzy619/O0430HMA5 | null | [
"safetensors",
"generated_from_trainer",
"base_model:allenai/OLMo-1B",
"license:apache-2.0",
"region:us"
] | null | 2024-04-30T08:27:56+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-allenai/OLMo-1B #license-apache-2.0 #region-us
| O0430HMA5
=========
This model is a fine-tuned version of allenai/OLMo-1B on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1441
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
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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": []} | Cdywalst/donut_multitask-shivi-recognition | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# flan-t5-large-finetuned-scope-summarization
This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/flan-t5-large", "model-index": [{"name": "flan-t5-large-finetuned-scope-summarization", "results": []}]} | nandavikas16/flan-t5-large-finetuned-scope-summarization | null | [
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| flan-t5-large-finetuned-scope-summarization
===========================================
This model is a fine-tuned version of google/flan-t5-large on an unknown dataset.
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* Loss: 0.1195
* Rouge1: 24.038
* Rouge2: 21.4448
* Rougel: 23.6448
* Rougelsum: 23.7376
... | [
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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": []} | TTTTao725/molt5-augmented-contrastive-100-small-whole_model | null | [
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# Model Card for Model ID
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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": []} | kimgahyeon/llama2-fine-tuned-dolly-15k | null | [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Llama-3-70B-layer-mix-bpw-2.2 | null | [
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#transformers #safetensors #llama #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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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": []} | hatak0955/gpt_0.125B_global_step1000 | null | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | Ziagl/ppo-LunarLander-v2 | null | [
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|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
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": []} | pruning/11j4q42 | null | [
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# Model Card for Model ID
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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": []} | Mariofm02/BartCNN_MoE_Entertainment_News | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | nem012/gemma2b-1e-5 | null | [
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text-generation | transformers | Quantized Q5_k_m version of https://huggingface.co/MadMarx37/deepseek-coder-1.3b-python-peft | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["code"], "datasets": ["ArtifactAI/arxiv_python_research_code"], "pipeline_tag": "text-generation"} | MadMarx37/deepseek-coder-1.3b-python-peft-GGUF | null | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | Ziagl/ppo-LunarLander-v2-2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-30T08:36:43+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
token-classification | spacy |
English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer.
| Feature | Description |
| --- | --- |
| **Name** | `en_ner_v3` |
| **Version** | `3.7.1` |
| **spaCy** | `>=3.7.2,<3.8.0` |
| **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `l... | {"language": ["en"], "license": "mit", "tags": ["spacy", "token-classification"], "widget": [{"text": "HR arranges a mediation session between Mark and Lisa in the HR office on May 9th, 2024, 3:00 PM.", "example_title": "Office setting"}, {"text": "Emily, John, and their friends gather at the annual Summer Beats Music ... | axlesubash/en_ner_v3 | null | [
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#spacy #token-classification #en #license-mit #model-index #region-us
| English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute\_ruler, lemmatizer.
### Label Scheme
View label scheme (118 labels for 3 components)
### Accuracy
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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": []} | hatak0955/gpt_0.125B_global_step13000 | null | [
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"gpt2",
"text-generation",
"arxiv:1910.09700",
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"region:us"
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"1910.09700"
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#transformers #safetensors #gpt2 #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.
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- Funded by [optional]:
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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. -->
# selfbiorag-7b-dpo-full-sft-wo-kqa_golden
This model is a fine-tuned version of [Minbyul/selfbiorag-7b-wo-kqa_golden-sft](https:/... | {"tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "Minbyul/selfbiorag-7b-wo-kqa_golden-sft", "model-index": [{"name": "selfbiorag-7b-dpo-full-sft-wo-kqa_golden", "results": []}]} | Minbyul/selfbiorag-7b-dpo-full-sft-wo-kqa_golden | null | [
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| selfbiorag-7b-dpo-full-sft-wo-kqa\_golden
=========================================
This model is a fine-tuned version of Minbyul/selfbiorag-7b-wo-kqa\_golden-sft on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2401
* Rewards/chosen: -1.0928
... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-small-finetuned-xsum
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xsum dataset.
I... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["xsum"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "t5-small-finetuned-xsum", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "xsum", "ty... | utkarsh9/t5-small-finetuned-xsum | null | [
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| t5-small-finetuned-xsum
=======================
This model is a fine-tuned version of t5-small on the xsum dataset.
It achieves the following results on the evaluation set:
* Loss: 2.4783
* Rouge1: 28.3281
* Rouge2: 7.7435
* Rougel: 22.2737
* Rougelsum: 22.2794
* Gen Len: 18.8266
Model description
---------------... | [
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feature-extraction | transformers |
# phospho-small
This is a SetFit model that can be used for Text Classification on CPU.
The model has been trained using an efficient few-shot learning technique.
## Usage
```python
from setfit import SetFitModel
model = SetFitModel.from_pretrained("phospho-small-c99c7a6")
outputs = model.predict(["This is a s... | {"language": "en", "license": "apache-2.0"} | phospho-app/phospho-small-c99c7a6 | null | [
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"license:apache-2.0",
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"region:us"
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"en"
] | TAGS
#transformers #safetensors #mpnet #feature-extraction #en #license-apache-2.0 #endpoints_compatible #region-us
|
# phospho-small
This is a SetFit model that can be used for Text Classification on CPU.
The model has been trained using an efficient few-shot learning technique.
## Usage
## References
This work was possible thanks to the SetFit library and the work of:
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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": []} | Kastanie99/Llama-2-7b-chat-hf-Haoran-MT-25042024 | null | [
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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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": []} | isom5240sp24/tt | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/sahfnda | null | [
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|
# Model Card for Model ID
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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. -->
# banglat5_small-bcoqa
This model is a fine-tuned version of [csebuetnlp/banglat5_small](https://huggingface.co/csebuetnlp/banglat... | {"tags": ["generated_from_trainer"], "base_model": "csebuetnlp/banglat5_small", "model-index": [{"name": "banglat5_small-bcoqa", "results": []}]} | arbitropy/banglat5_small-bcoqa | null | [
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| banglat5\_small-bcoqa
=====================
This model is a fine-tuned version of csebuetnlp/banglat5\_small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7000
Model description
-----------------
More information needed
Intended uses & limitations
--------------------... | [
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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. -->
# my_awesome_model
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "my_awesome_model", "results": []}]} | bzdz/my_awesome_model | null | [
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| my\_awesome\_model
==================
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2239
* Accuracy: 0.9420
Model description
-----------------
More information needed
Intended uses & limitations
--------------... | [
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null | null | # EasyTools
Welcome to EasyTools, a repository dedicated to providing a collection of packages and tools designed to simplify various aspects of software development. From Retrieval-based Voice Conversion (RVC) to specialized classes for Gradio apps, EasyTools aims to enhance the ease of creating robust and efficient ... | {"license": "mit"} | HRVC/easyTools | null | [
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| # EasyTools
Welcome to EasyTools, a repository dedicated to providing a collection of packages and tools designed to simplify various aspects of software development. From Retrieval-based Voice Conversion (RVC) to specialized classes for Gradio apps, EasyTools aims to enhance the ease of creating robust and efficient ... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** ntvcie
- **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"} | ntvcie/Phi3MiniVinhntV01 | null | [
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|
# Uploaded model
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- License: apache-2.0
- Finetuned from model : unsloth/Phi-3-mini-4k-instruct-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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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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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. -->
# tulu2-13b-cost-UF-5e-7
This model is a fine-tuned version of [allenai/tulu-2-13b](https://huggingface.co/allenai/tulu-2-13b) on ... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "allenai/tulu-2-13b", "model-index": [{"name": "tulu2-13b-cost-UF-5e-7", "results": []}]} | just1nseo/tulu2-13b-cost-UF-5e-7 | null | [
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| tulu2-13b-cost-UF-5e-7
======================
This model is a fine-tuned version of allenai/tulu-2-13b on the None dataset.
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* Loss: 0.6933
* Rewards/chosen: 0.0268
* Rewards/rejected: 0.0265
* Rewards/accuracies: 0.5360
* Rewards/margins: 0.0002
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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. -->
# tulu2-13b-cost-UI-5e-7
This model is a fine-tuned version of [allenai/tulu-2-13b](https://huggingface.co/allenai/tulu-2-13b) on ... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "allenai/tulu-2-13b", "model-index": [{"name": "tulu2-13b-cost-UI-5e-7", "results": []}]} | just1nseo/tulu2-13b-cost-UI-5e-7 | null | [
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| tulu2-13b-cost-UI-5e-7
======================
This model is a fine-tuned version of allenai/tulu-2-13b on the None dataset.
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* Loss: 0.6914
* Rewards/chosen: -0.0020
* Rewards/rejected: -0.0058
* Rewards/accuracies: 0.6040
* Rewards/margins: 0.0038
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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. -->
# O0430HMA6
This model is a fine-tuned version of [allenai/OLMo-1B](https://huggingface.co/allenai/OLMo-1B) on an unknown dataset.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "allenai/OLMo-1B", "model-index": [{"name": "O0430HMA6", "results": []}]} | Litzy619/O0430HMA6 | null | [
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| O0430HMA6
=========
This model is a fine-tuned version of allenai/OLMo-1B on an unknown dataset.
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* Loss: 0.0623
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
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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": []} | Mariofm02/BartCNN_MoE_Sport_News | null | [
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text-generation | transformers |
# Model Card for Model ID
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## 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": []} | Falah/gemma-medical_qa-Finetune | null | [
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feature-extraction | transformers |
# phospho-small
This is a SetFit model that can be used for Text Classification on CPU.
The model has been trained using an efficient few-shot learning technique.
## Usage
```python
from setfit import SetFitModel
model = SetFitModel.from_pretrained("phospho-small-46f5c4e")
outputs = model.predict(["This is a s... | {"language": "en", "license": "apache-2.0"} | phospho-app/phospho-small-46f5c4e | null | [
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"region:us"
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|
# phospho-small
This is a SetFit model that can be used for Text Classification on CPU.
The model has been trained using an efficient few-shot learning technique.
## Usage
## References
This work was possible thanks to the SetFit library and the work of:
Tunstall, Lewis and Reimers, Nils and Jo, Unso Eun Seo ... | [
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text-generation | transformers |
# mlx-community/llm-jp-13b-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-8bit
This model was converted to MLX format from [`llm-jp/llm-jp-13b-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0`]() using mlx-lm version **0.12.0**.
Refer to the [original model card](https://huggingface.co/llm-... | {"language": ["en", "ja"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mlx"], "datasets": ["databricks/databricks-dolly-15k", "llm-jp/databricks-dolly-15k-ja", "llm-jp/oasst1-21k-en", "llm-jp/oasst1-21k-ja", "llm-jp/oasst2-33k-en", "llm-jp/oasst2-33k-ja"], "programming_language": ["C", "C++", "C#... | mlx-community/llm-jp-13b-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-8bit | null | [
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"dataset:llm-... | null | 2024-04-30T09:02:23+00:00 | [] | [
"en",
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# mlx-community/llm-jp-13b-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-8bit
This model was converted to MLX format from ['llm-jp/llm-jp-13b-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0']() using mlx-lm version 0.12.0.
Refer to the original model card for more details on the model.
##... | [
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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": []} | Marco127/llamantino_hodi_relabeled_invert | null | [
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Meta-Llama-3-8B-Instruct"} | shivanikerai/Meta-Llama-3-8B-Instruct-adapter-title-ner-and-new-title-suggestion-v1.0 | null | [
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#peft #arxiv-1910.09700 #base_model-meta-llama/Meta-Llama-3-8B-Instruct #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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null | transformers |
# Uploaded model
- **Developed by:** Llamarider222
- **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/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Llamarider222/llama-3-8b-law-finetune | null | [
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"license:apache-2.0",
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"region:us"
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|
# Uploaded model
- Developed by: Llamarider222
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | null | # Llama-3-8B-Instruct-Gradient-1048k-GGUF
- Original model: [Llama-3-8B-Instruct-Gradient-1048k](https://huggingface.co/gradientai/Llama-3-8B-Instruct-Gradient-1048k)
<!-- description start -->
## Description
This repo contains GGUF format model files for [Llama-3-8B-Instruct-Gradient-1048k](https://huggingface.co/gr... | {"language": ["en"], "license": "llama3", "tags": ["meta", "llama-3", "GGUF"], "pipeline_tag": "text-generation", "quantized_by": "andrijdavid"} | LiteLLMs/Llama-3-8B-Instruct-Gradient-1048k-GGUF | null | [
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"GGUF",
"text-generation",
"en",
"license:llama3",
"region:us"
] | null | 2024-04-30T09:08:36+00:00 | [] | [
"en"
] | TAGS
#gguf #meta #llama-3 #GGUF #text-generation #en #license-llama3 #region-us
| Llama-3-8B-Instruct-Gradient-1048k-GGUF
=======================================
* Original model: Llama-3-8B-Instruct-Gradient-1048k
Description
-----------
This repo contains GGUF format model files for Llama-3-8B-Instruct-Gradient-1048k.
### About GGUF
GGUF is a new format introduced by the URL team on Augu... | [
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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. -->
# distilbert-finetuned-ner-for-articles
This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/disti... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert-base-cased", "model-index": [{"name": "distilbert-finetuned-ner-for-articles", "results": []}]} | colette-exe/distilbert-finetuned-ner-for-articles | null | [
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"en",
"base_model:distilbert-base-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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| distilbert-finetuned-ner-for-articles
=====================================
This model is a fine-tuned version of distilbert-base-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4393
* Precision: 0.6848
* Recall: 0.6391
* F1: 0.6611
* Accuracy: 0.8736
Model descriptio... | [
"### 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: 5",
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null | transformers |
## Model Summary
See [Boreas-7B-chat](https://huggingface.co/yhavinga/Boreas-7B-chat) for more info.
This repository contains several quantized models and their associated model cards for ollama. Click on 'files' to get a sense of the file sizes.
You can download a single GGUF file with the Huggingface Web UI widget... | {"language": ["nl", "en", "de", "fr", "es"], "license": "apache-2.0", "tags": ["finetuned"], "datasets": ["yhavinga/mc4_nl_cleaned", "yhavinga/nedd_wiki_news", "teknium/OpenHermes-2.5", "euirim/goodwiki", "philschmid/flanv2"]} | yhavinga/Boreas-7B-chat-v1-GGUF | null | [
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"dataset:philschmid/flanv2",
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|
## Model Summary
See Boreas-7B-chat for more info.
This repository contains several quantized models and their associated model cards for ollama. Click on 'files' to get a sense of the file sizes.
You can download a single GGUF file with the Huggingface Web UI widgets for quantized files.
The Modelcard for ollama ca... | [
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text-generation | transformers |
## base model :
- microsoft/Phi-3-mini-4k-instruct
## Dataset :
- reciperesearch/dolphin-sft-v0.1-preference | {"library_name": "transformers", "tags": ["unsloth", "trl", "orpo"], "datasets": ["reciperesearch/dolphin-sft-v0.1-preference"]} | ayoubkirouane/Phi-3-mini-4k-dolphin-orpo | null | [
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"autotrain_compatible",
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"text-generation-inference",
"region:us"
] | null | 2024-04-30T09:10:21+00:00 | [] | [] | TAGS
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|
## base model :
- microsoft/Phi-3-mini-4k-instruct
## Dataset :
- reciperesearch/dolphin-sft-v0.1-preference | [
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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": []} | xp0tat0/farmer_2 | 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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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. -->
# testing
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the N... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "testing", "results": []}]} | nischalsingh/testing | null | [
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|
# testing
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Accuracy: 1.0
- F1: 1.0
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and eval... | [
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null | null | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
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<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/dolphin-2.9-mixtral-8x22b-GGUF-smashed | null | [
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#gguf #pruna-ai #region-us
|
[](URL target=)
![Twitter](URL
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![LinkedIn](URL
![Discord](URL
This repo contains GGUF versions of the cognitivecomputations/dolphin-2.9-mixtral-8x22b model.
----------------------------------------------------------------------------------------------
Simply make AI models che... | [
"### How to load this model in Python code, using llama-cpp-python\n\nFor full documentation, please see: llama-cpp-python docs.",
"#### First install the package\n\nRun one of the following commands, according to your system:",
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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": []} | exala/db_aca_3.2 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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- License... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# nash_dpo_iter_2
This model is a fine-tuned version of [YYYYYYibo/nash_dpo_iter_1](https://huggingface.co/YYYYYYibo/nash_dpo_iter... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo"], "datasets": ["updated", "original"], "base_model": "alignment-handbook/zephyr-7b-sft-full", "model-index": [{"name": "nash_dpo_iter_2", "results": []}]} | YYYYYYibo/nash_dpo_iter_2 | null | [
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| nash\_dpo\_iter\_2
==================
This model is a fine-tuned version of YYYYYYibo/nash\_dpo\_iter\_1 on the updated and the original datasets.
It achieves the following results on the evaluation set:
* Loss: 0.6403
* Rewards/chosen: -0.3108
* Rewards/rejected: -0.4420
* Rewards/accuracies: 0.6160
* Rewards/marg... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-06\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\... | [
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null | null | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/starcoder2-15b-GGUF-smashed | null | [
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#gguf #pruna-ai #region-us
|
[](URL target=)
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
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This repo contains GGUF versions of the bigcode/starcoder2-15b model.
---------------------------------------------------------------------
Simply make AI models cheaper, smaller, faster, and greener!
==============... | [
"### How to load this model in Python code, using llama-cpp-python\n\nFor full documentation, please see: llama-cpp-python docs.",
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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": []} | Mariofm02/BartCNN_MoE_Tech_News | null | [
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"1910.09700"
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#transformers #safetensors #bart #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.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# Overview
Fine-tuned [Llama-3 8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) with an uncensored/unfiltered Wizard-Vicuna conversation dataset.
Used QLoRA for fine-tuning.
The model here includes the fp32 HuggingFace version, plus a quantized 4-bit q4_0 [gguf version](https://huggingface.co/georgesung/llama3_... | {"license": "other", "datasets": ["georgesung/wizard_vicuna_70k_unfiltered"]} | georgesung/llama3_8b_chat_uncensored | null | [
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|
# Overview
Fine-tuned Llama-3 8B with an uncensored/unfiltered Wizard-Vicuna conversation dataset.
Used QLoRA for fine-tuning.
The model here includes the fp32 HuggingFace version, plus a quantized 4-bit q4_0 gguf version.
# Prompt style
The model was trained with the following prompt style:
# Training code
Code u... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** ntvcie
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-2b-bnb-4bit"} | ntvcie/Gemma2bVinhntV02 | null | [
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|
# Uploaded model
- Developed by: ntvcie
- License: apache-2.0
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<img src="URL width="200"/>
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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. -->
# fil_b32_le4_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": "fil_b32_le4_s4000", "results": []}]} | mikhail-panzo/fil_b32_le4_s4000 | null | [
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| fil\_b32\_le4\_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: 0.4067
Model description
-----------------
More information needed
Intended uses & limitations
-----------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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null | peft |
# whisper-10k
This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the common voice 16 + google fleurs datasets.
## Model description
TEST
Japanese. Datasets normalized with mecab and neologdn. Testing normalization on performance. Subjective.
## Int... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "openai/whisper-large-v2", "model-index": [{"name": "whisper-10k", "results": []}]} | sin2piusc/whisper-10k | null | [
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"generated_from_trainer",
"base_model:openai/whisper-large-v2",
"license:apache-2.0",
"region:us"
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-openai/whisper-large-v2 #license-apache-2.0 #region-us
|
# whisper-10k
This model is a fine-tuned version of openai/whisper-large-v2 on the common voice 16 + google fleurs datasets.
## Model description
TEST
Japanese. Datasets normalized with mecab and neologdn. Testing normalization on performance. Subjective.
## Intended uses & limitations
More information needed
... | [
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"## Model description\n\nTEST\n\nJapanese. Datasets normalized with mecab and neologdn. Testing normalization on performance. Subjective.",
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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": []} | exala/db_aca_3.1 | null | [
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"arxiv:1910.09700",
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"1910.09700"
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#transformers #safetensors #distilbert #text-classification #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.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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## Model 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 |
# SpiralAI Spiral-RetNet-3b-base
We have conducted pre-training from scratch on the RetNet (https://arxiv.org/abs/2307.08621) architecture model 3b using a mixed dataset of Japanese and English.
This model is released primarily for the basic research of "retention mechanis... | {"language": ["ja", "en"], "license": "mit", "library_name": "transformers"} | Spiral-AI/Spiral-RetNet-3b-base | null | [
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#transformers #safetensors #retnet #text-generation #ja #en #arxiv-2307.08621 #license-mit #autotrain_compatible #endpoints_compatible #region-us
|
!SpiralAI Spiral-RetNet-3b-base
# SpiralAI Spiral-RetNet-3b-base
We have conducted pre-training from scratch on the RetNet (URL architecture model 3b using a mixed dataset of Japanese and English.
This model is released primarily for the basic research of "retention mechanism".
# Model Description
- Developed by: ... | [
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null | null |
# Clevyby/Karen_TheEditor_V2_CREATIVE_Mistral_7B-Q5_K_S-GGUF
This model was converted to GGUF format from [`FPHam/Karen_TheEditor_V2_CREATIVE_Mistral_7B`](https://huggingface.co/FPHam/Karen_TheEditor_V2_CREATIVE_Mistral_7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my... | {"license": "llama2", "tags": ["llm", "llama", "spellcheck", "grammar", "llama-cpp", "gguf-my-repo"]} | Clevyby/Karen_TheEditor_V2_CREATIVE_Mistral_7B-Q5_K_S-GGUF | null | [
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"spellcheck",
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"llama-cpp",
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#gguf #llm #llama #spellcheck #grammar #llama-cpp #gguf-my-repo #license-llama2 #region-us
|
# Clevyby/Karen_TheEditor_V2_CREATIVE_Mistral_7B-Q5_K_S-GGUF
This model was converted to GGUF format from 'FPHam/Karen_TheEditor_V2_CREATIVE_Mistral_7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model. | [
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text-generation | transformers |
How to use
```Python
from transformers import AutoModelForCausalLM, AutoTokenizer, TextGenerationPipeline
model_path = 'fiveflow/KoLlama-3-8B-Instruct'
tokenizer = AutoTokenizer.from_pretrained(model_path)
model = AutoModelForCausalLM.from_pretrained(model_path,
devi... | {"language": ["ko"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "fiveflow/KoLlama-3-8B-Instruct", "results": []}]} | fiveflow/KoLlama-3-8B-Instruct | null | [
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"license:apache-2.0",
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|
How to use
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] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | cilantro9246/bp0b5n2 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-30T09:35:28+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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null | null |
# Clevyby/Karen_TheEditor_V2_STRICT_Mistral_7B-Q5_K_S-GGUF
This model was converted to GGUF format from [`FPHam/Karen_TheEditor_V2_STRICT_Mistral_7B`](https://huggingface.co/FPHam/Karen_TheEditor_V2_STRICT_Mistral_7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo)... | {"license": "llama2", "tags": ["llm", "llama", "spellcheck", "grammar", "llama-cpp", "gguf-my-repo"]} | Clevyby/Karen_TheEditor_V2_STRICT_Mistral_7B-Q5_K_S-GGUF | null | [
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#gguf #llm #llama #spellcheck #grammar #llama-cpp #gguf-my-repo #license-llama2 #region-us
|
# Clevyby/Karen_TheEditor_V2_STRICT_Mistral_7B-Q5_K_S-GGUF
This model was converted to GGUF format from 'FPHam/Karen_TheEditor_V2_STRICT_Mistral_7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
| [
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text-generation | transformers |
# mlx-community/llm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-8bit
This model was converted to MLX format from [`llm-jp/llm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0`]() using mlx-lm version **0.12.0**.
Refer to the [original model card](https://huggi... | {"language": ["en", "ja"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mlx"], "datasets": ["databricks/databricks-dolly-15k", "llm-jp/databricks-dolly-15k-ja", "llm-jp/oasst1-21k-en", "llm-jp/oasst1-21k-ja", "llm-jp/oasst2-33k-en", "llm-jp/oasst2-33k-ja"], "programming_language": ["C", "C++", "C#... | mlx-community/llm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-8bit | null | [
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"safetensors",
"llama",
"text-generation",
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"dataset:llm-jp/oasst1-21k-en",
"dataset:llm-jp/oasst1-21k-ja",
"dataset:llm-jp/oasst2-33k-en",
"dataset:llm-... | null | 2024-04-30T09:37:28+00:00 | [] | [
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# mlx-community/llm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0-8bit
This model was converted to MLX format from ['llm-jp/llm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0']() using mlx-lm version 0.12.0.
Refer to the original model card for more details on... | [
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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": []} | fxmeng/PiSSA-Llama-3-70B-4bit-r128-5iter | 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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text-generation | transformers |
# Uploaded model
- **Developed by:** Jogendra0411
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-it-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl", "sft"], "base_model": "unsloth/gemma-7b-it-bnb-4bit"} | Jogendra0411/ipc_gemma_7b | null | [
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# Uploaded model
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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. -->
# albert-base-v2-coco-NER
This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on the Non... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "albert-base-v2", "model-index": [{"name": "albert-base-v2-coco-NER", "results": []}]} | mohsin-riad/albert-base-v2-coco-NER | null | [
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| albert-base-v2-coco-NER
=======================
This model is a fine-tuned version of albert-base-v2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1287
* Precision: 0.9414
* Recall: 0.9453
* F1: 0.9434
* Accuracy: 0.9646
Model description
-----------------
More informat... | [
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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": []} | vaatsav06/Llama3_medqa_lossfunc | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | Gokul-waterlabs/MedCurie-Mistral-7B-v03 | null | [
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# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# 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": []} | fxmeng/PiSSA-Llama-3-70B-4bit-r64-5iter | null | [
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null | null |
# OpenELM – Core ML
This repository contains a Core ML conversion of [apple/OpenELM-1_1B](https://hf.co/apple/OpenELM-1_1B) with the following characteristics:
- Sequence length: 128, fixed.
- Precision: float32.
Please, check the [original model card](https://hf.co/apple/OpenELM-1_1B) for additional detail... | {"license": "other", "license_name": "apple-sample-code-license", "license_link": "LICENSE"} | corenet-community/coreml-OpenELM-1_1B | null | [
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# OpenELM – Core ML
This repository contains a Core ML conversion of apple/OpenELM-1_1B with the following characteristics:
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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. -->
# BERT
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
It ach... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1"], "base_model": "bert-base-cased", "model-index": [{"name": "BERT", "results": []}]} | Farjfar/BERT | null | [
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| BERT
====
This model is a fine-tuned version of bert-base-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0992
* Precision: 0.6178
* Recall: 0.2607
* F1: 0.3666
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. -->
# LoRA text2image fine-tuning - merkol/sd-naruto-model-lora
These are LoRA adaption weights for CompVis/stable-diffusion-v... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora"], "base_model": "CompVis/stable-diffusion-v1-4", "inference": true} | merkol/sd-naruto-model-lora | null | [
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|
# LoRA text2image fine-tuning - merkol/sd-naruto-model-lora
These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were fine-tuned on the lambdalabs/naruto-blip-captions dataset. You can find some example images in the following.
!img_0
!img_1
!img_2
!img_3
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null | null |
# OpenELM – Core ML
This repository contains a Core ML conversion of [apple/OpenELM-1_1B-Instruct](https://hf.co/apple/OpenELM-1_1B-Instruct) with the following characteristics:
- Sequence length: 128, fixed.
- Precision: float32.
Please, check the [original model card](https://hf.co/apple/OpenELM-1_1B-Inst... | {"license": "other", "license_name": "apple-sample-code-license", "license_link": "LICENSE"} | corenet-community/coreml-OpenELM-1_1B-Instruct | null | [
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#coreml #license-other #region-us
|
# OpenELM – Core ML
This repository contains a Core ML conversion of apple/OpenELM-1_1B-Instruct with the following characteristics:
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null | null |
# OpenELM – Core ML
This repository contains a Core ML conversion of [apple/OpenELM-270M](https://hf.co/apple/OpenELM-270M) with the following characteristics:
- Sequence length: 128, fixed.
- Precision: float32.
Please, check the [original model card](https://hf.co/apple/OpenELM-270M) for additional detail... | {"license": "other", "license_name": "apple-sample-code-license", "license_link": "LICENSE"} | corenet-community/coreml-OpenELM-270M | null | [
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# OpenELM – Core ML
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"# OpenELM – Core ML\n\nThis repository contains a Core ML conversion of apple/OpenELM-270M with the following characteristics:\n\n - Sequence length: 128, fixed.\n - Precision: float32.\n\nPlease, check the original model card for additional details on the mode... | [
12,
56
] | [
"TAGS\n#coreml #license-other #region-us \n# OpenELM – Core ML\n\nThis repository contains a Core ML conversion of apple/OpenELM-270M with the following characteristics:\n\n - Sequence length: 128, fixed.\n - Precision: float32.\n\nPlease, check the original model card for additional details on the model."
] |
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. -->
# my_awesome_eli5_clm-model
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the eli5_category dataset... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "gpt2", "model-index": [{"name": "my_awesome_eli5_clm-model", "results": []}]} | bzdz/my_awesome_eli5_clm-model | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"dataset:eli5_category",
"base_model:gpt2",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-30T09:50:13+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #dataset-eli5_category #base_model-gpt2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| my\_awesome\_eli5\_clm-model
============================
This model is a fine-tuned version of gpt2 on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 3.5701
Model description
-----------------
More information needed
Intended uses & limitations
------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
"### Traini... | [
"TAGS\n#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #dataset-eli5_category #base_model-gpt2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used durin... | [
64,
103,
5,
44
] | [
"TAGS\n#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #dataset-eli5_category #base_model-gpt2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during trai... |
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