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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="kelvinho8/q-Taxi-v3-utopia", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False e... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3-utopia", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "... | kelvinho8/q-Taxi-v3-utopia | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-06T10:57:28+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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] |
null | null | ToolsBaer MSG to Yahoo Converter is the most popular tool for converting MSG files into Yahoo accounts. This data transfer tool is safe and self-sufficient. Because of the bulk migration feature, the program can upload several MSG files to Yahoo. With the MSG to Yahoo Importer application, handling MSG files of any siz... | {} | madelineoliver/ToolsBaer-MSG-to-Yahoo-Importer | null | [
"region:us"
] | null | 2024-04-06T10:59:00+00:00 | [] | [] | TAGS
#region-us
| ToolsBaer MSG to Yahoo Converter is the most popular tool for converting MSG files into Yahoo accounts. This data transfer tool is safe and self-sufficient. Because of the bulk migration feature, the program can upload several MSG files to Yahoo. With the MSG to Yahoo Importer application, handling MSG files of any siz... | [] | [
"TAGS\n#region-us \n"
] | [
5
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"TAGS\n#region-us \n"
] |
automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Tiny Basque
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on t... | {"language": ["eu"], "license": "apache-2.0", "tags": ["whisper-event", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_1"], "metrics": ["wer"], "base_model": "openai/whisper-tiny", "model-index": [{"name": "Whisper Tiny Basque", "results": [{"task": {"type": "automatic-speech-recognition", ... | zuazo/whisper-tiny-eu-cv16_1 | null | [
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"base_model:openai/whisper-tiny",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:u... | null | 2024-04-06T10:59:45+00:00 | [] | [
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| Whisper Tiny Basque
===================
This model is a fine-tuned version of openai/whisper-tiny on the mozilla-foundation/common\_voice\_16\_1 eu dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5146
* Wer: 19.0949
Model description
-----------------
More information needed
Intend... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3.75e-05\n* train\\_batch\\_size: 256\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_... | [
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"### Training hyperparameters\n\n\nT... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Base Basque
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on t... | {"language": ["eu"], "license": "apache-2.0", "tags": ["whisper-event", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_1"], "metrics": ["wer"], "base_model": "openai/whisper-base", "model-index": [{"name": "Whisper Base Basque", "results": [{"task": {"type": "automatic-speech-recognition", ... | zuazo/whisper-base-eu-cv16_1 | null | [
"transformers",
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"safetensors",
"whisper",
"automatic-speech-recognition",
"whisper-event",
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"region:u... | null | 2024-04-06T10:59:45+00:00 | [] | [
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| Whisper Base Basque
===================
This model is a fine-tuned version of openai/whisper-base on the mozilla-foundation/common\_voice\_16\_1 eu dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5038
* Wer: 16.1765
Model description
-----------------
More information needed
Intend... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2.5e-05\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 64\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 256\n* optimizer: Adam with betas=(0.9,0.999) and eps... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Basque
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) o... | {"language": ["eu"], "license": "apache-2.0", "tags": ["whisper-event", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_1"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Basque", "results": [{"task": {"type": "automatic-speech-recognition"... | zuazo/whisper-small-eu-cv16_1 | null | [
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"base_model:openai/whisper-small",
"license:apache-2.0",
"model-index",
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"region:... | null | 2024-04-06T10:59:57+00:00 | [] | [
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| Whisper Small Basque
====================
This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common\_voice\_16\_1 eu dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3785
* Wer: 12.7374
Model description
-----------------
More information needed
Int... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 256\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Llama-2-7b-hf-platypus_v3
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Lla... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "Llama-2-7b-hf-platypus_v3", "results": []}]} | NassimB/Llama-2-7b-hf-platypus_v3 | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-hf",
"region:us"
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#peft #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Llama-2-7b-hf #region-us
|
# Llama-2-7b-hf-platypus_v3
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyp... | [
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sentence-similarity | sentence-transformers |
# luiz-and-robert-thesis/all-mpnet-base-v2-lr-2e-7-margin-1-epoch-1
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Senten... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | luiz-and-robert-thesis/all-mpnet-base-v2-lr-2e-7-margin-1-epoch-1 | null | [
"sentence-transformers",
"safetensors",
"mpnet",
"feature-extraction",
"sentence-similarity",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T11:03:03+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #mpnet #feature-extraction #sentence-similarity #endpoints_compatible #region-us
|
# luiz-and-robert-thesis/all-mpnet-base-v2-lr-2e-7-margin-1-epoch-1
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you ha... | [
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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_billsum_model
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) o... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google-t5/t5-small", "model-index": [{"name": "my_awesome_billsum_model", "results": []}]} | mustafabulut/my_awesome_billsum_model | null | [
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"t5",
"text2text-generation",
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| my\_awesome\_billsum\_model
===========================
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.4993
* Rouge1: 0.1454
* Rouge2: 0.0539
* Rougel: 0.1208
* Rougelsum: 0.1207
* Gen Len: 19.0
Model description
-... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 4\n* mixed\\_prec... | [
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image-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": []} | Bala-123-murugan-123/Scartch-classification | null | [
"transformers",
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"arxiv:1910.09700",
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"1910.09700"
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#transformers #safetensors #vit #image-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:
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null | null |
# jsfs11/MixtureofMerges-MoE-2x7b-SLERPv0.9-Q4_K_M-GGUF
This model was converted to GGUF format from [`jsfs11/MixtureofMerges-MoE-2x7b-SLERPv0.9`](https://huggingface.co/jsfs11/MixtureofMerges-MoE-2x7b-SLERPv0.9) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) spac... | {"tags": ["merge", "mergekit", "lazymergekit", "jsfs11/MixtureofMerges-MoE-2x7b-v7", "jsfs11/MixtureofMerges-MoE-2x7bRP-v8", "llama-cpp", "gguf-my-repo"], "base_model": ["jsfs11/MixtureofMerges-MoE-2x7b-v7", "jsfs11/MixtureofMerges-MoE-2x7bRP-v8"]} | jsfs11/MixtureofMerges-MoE-2x7b-SLERPv0.9-Q4_K_M-GGUF | null | [
"gguf",
"merge",
"mergekit",
"lazymergekit",
"jsfs11/MixtureofMerges-MoE-2x7b-v7",
"jsfs11/MixtureofMerges-MoE-2x7bRP-v8",
"llama-cpp",
"gguf-my-repo",
"base_model:jsfs11/MixtureofMerges-MoE-2x7b-v7",
"base_model:jsfs11/MixtureofMerges-MoE-2x7bRP-v8",
"region:us"
] | null | 2024-04-06T11:06:48+00:00 | [] | [] | TAGS
#gguf #merge #mergekit #lazymergekit #jsfs11/MixtureofMerges-MoE-2x7b-v7 #jsfs11/MixtureofMerges-MoE-2x7bRP-v8 #llama-cpp #gguf-my-repo #base_model-jsfs11/MixtureofMerges-MoE-2x7b-v7 #base_model-jsfs11/MixtureofMerges-MoE-2x7bRP-v8 #region-us
|
# jsfs11/MixtureofMerges-MoE-2x7b-SLERPv0.9-Q4_K_M-GGUF
This model was converted to GGUF format from 'jsfs11/MixtureofMerges-MoE-2x7b-SLERPv0.9' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server... | [
"# jsfs11/MixtureofMerges-MoE-2x7b-SLERPv0.9-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'jsfs11/MixtureofMerges-MoE-2x7b-SLERPv0.9' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="osman93/q-FrozenLake-v1-8x8-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional att... | {"tags": ["FrozenLake-v1-8x8-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-8x8-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-8x8-no_slippery", "type": ... | osman93/q-FrozenLake-v1-8x8-noSlippery | null | [
"FrozenLake-v1-8x8-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
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#FrozenLake-v1-8x8-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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translation | transformers |
The translator app:
# Model Name
German to English Translator
# Model Description
This model translates german language to english language. It used Sequence to Sequence Transformer(Seq2SeqTransfor... | {"language": ["en"], "license": "mit", "library_name": "transformers", "datasets": ["bentrevett/multi30k"], "pipeline_tag": "translation"} | neelimapreeti297/GermanToEnglish | null | [
"transformers",
"safetensors",
"translation",
"en",
"dataset:bentrevett/multi30k",
"license:mit",
"endpoints_compatible",
"region:us"
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"en"
] | TAGS
#transformers #safetensors #translation #en #dataset-bentrevett/multi30k #license-mit #endpoints_compatible #region-us
|
The translator app:
!image/png
# Model Name
German to English Translator
# Model Description
This model translates german language to english language. It used Sequence to Sequence Transformer(Seq2SeqTransformer) for training.
- Developed by: Neelima Monjusha Preeti
- Model type: Seq2SeqTransformer
- Language(s)... | [
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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. -->
# aya2-Lora_4K
This model is a fine-tuned version of [CohereForAI/aya-101](https://huggingface.co/CohereForAI/aya-101) on an unkno... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "CohereForAI/aya-101", "model-index": [{"name": "aya2-Lora_4K", "results": []}]} | Nima-nlc/aya2-Lora_4K | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:CohereForAI/aya-101",
"license:apache-2.0",
"region:us"
] | null | 2024-04-06T11:14:46+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-CohereForAI/aya-101 #license-apache-2.0 #region-us
|
# aya2-Lora_4K
This model is a fine-tuned version of CohereForAI/aya-101 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The ... | [
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"## Training and evaluation data\n\nMore information needed",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Smuggling1710/BuRPInfinWestLakev2-IreneRP-Neural-7B-slerp
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at ... | {"language": ["en"], "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "Smuggling1710/WestLakev2-IreneRP-Neural-7B-slerp", "jeiku/BuRPInfinity_9B"], "base_model": "Smuggling1710/BuRPInfinWestLakev2-IreneRP-Neural-7B-slerp", "quantized_by": "mradermacher"} | mradermacher/BuRPInfinWestLakev2-IreneRP-Neural-7B-slerp-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
null | 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. -->
# model_custom_qna_gen
This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0", "model-index": [{"name": "model_custom_qna_gen", "results": []}]} | Umer4/model_custom_qna_gen | null | [
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"license:apache-2.0",
"region:us"
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|
# model_custom_qna_gen
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trai... | [
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null | peft | ## Training procedure
### Framework versions
- PEFT 0.4.0
- PEFT 0.4.0
| {"library_name": "peft"} | Aref-yzd/custom_bloom_prompt_tuning | null | [
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#peft #region-us
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/arvind22/Deepseek-Wizard-33B-slerp
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do n... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "deepseek-ai/deepseek-coder-33b-instruct", "WizardLM/WizardCoder-33B-V1.1"], "base_model": "arvind22/Deepseek-Wizard-33B-slerp", "quantized_by": "mradermacher"} | mradermacher/Deepseek-Wizard-33B-slerp-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | naonao0715/PairRM_DPO_ft | null | [
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"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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question-answering | transformers | epoch 4
step 488 | {} | ZongqianLi/bert-base-cased-scqa2 | null | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "google/flan-t5-base"} | HeydarS/flant5_bs_witQA_peft_v11 | null | [
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- Repository:
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/HachiML/Swallow-MS-7b-v0.1-ChatMathSkill
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If the... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": [], "base_model": "HachiML/Swallow-MS-7b-v0.1-ChatMathSkill", "quantized_by": "mradermacher"} | mradermacher/Swallow-MS-7b-v0.1-ChatMathSkill-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tdooms/TinyStories-1024-uncased | null | [
"transformers",
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | unrented5443/nm9o7yy | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Mistral-7B-Instruct-v0.1-GGUF
- Quantized version of [Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1)
- Created using llama.cpp
## Available Quants
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| {"license": "apache-2.0", "library_name": "transformers", "tags": ["mistral", "text-generation-inference", "conversational", "finetuned"], "pipeline_tag": "text-generation", "base_model": "mistralai/Mistral-7B-Instruct-v0.1", "inference": false} | QuantFactory/Mistral-7B-Instruct-v0.1-GGUF | null | [
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|
# Mistral-7B-Instruct-v0.1-GGUF
- Quantized version of Mistral-7B-Instruct-v0.1
- Created using URL
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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": []} | cilantro9246/7bu1abj | 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]:
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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. -->
# aya2-Lora_3.6K
This model is a fine-tuned version of [CohereForAI/aya-101](https://huggingface.co/CohereForAI/aya-101) on an unk... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "CohereForAI/aya-101", "model-index": [{"name": "aya2-Lora_3.6K", "results": []}]} | Nima-nlc/aya2-Lora_3.6K | null | [
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|
# aya2-Lora_3.6K
This model is a fine-tuned version of CohereForAI/aya-101 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_idpo_4iters_iter_2
This model is a fine-tuned version of [ShenaoZhang/0.001_idpo_4iters_iter_1](https://huggingface.co/She... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ShenaoZhang/0.001_idpo_4iters_dataset"], "base_model": "ShenaoZhang/0.001_idpo_4iters_iter_1", "model-index": [{"name": "0.001_idpo_4iters_iter_2", "results": []}]} | ShenaoZhang/0.001_idpo_4iters_iter_2 | null | [
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|
# 0.001_idpo_4iters_iter_2
This model is a fine-tuned version of ShenaoZhang/0.001_idpo_4iters_iter_1 on the ShenaoZhang/0.001_idpo_4iters_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information neede... | [
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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/lcvqefi | 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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null | transformers | ## About
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weighted/imatrix quants of https://huggingface.co/Qwen/Qwen1.5-32B-Chat
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weighted/imatrix quants of URL
static quants are available at URL
Usage
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If you are unsure how to use GGUF files, refer to one of TheBloke's
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | brightonm/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
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] | null | 2024-04-06T11:47:32+00:00 | [] | [] | TAGS
#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
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null | transformers |
Models for https://github.com/sedthh/BeatLearning | {"license": "apache-2.0", "tags": ["rhythm-game", "generative-ai", "open-source", "transformers", "encoders", "bert-model", "you-gotta-do-what", "you-gotta-believe"]} | sedthh/BeatLearning | null | [
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] |
image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# clip-vit-base-patch32-finetuned-eurosat
This model is a fine-tuned version of [openai/clip-vit-base-patch32](https://huggingface... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "openai/clip-vit-base-patch32", "model-index": [{"name": "clip-vit-base-patch32-finetuned-eurosat", "results": []}]} | MF21377197/clip-vit-base-patch32-finetuned-eurosat | null | [
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"clip",
"image-classification",
"generated_from_trainer",
"base_model:openai/clip-vit-base-patch32",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #tensorboard #safetensors #clip #image-classification #generated_from_trainer #base_model-openai/clip-vit-base-patch32 #autotrain_compatible #endpoints_compatible #region-us
| clip-vit-base-patch32-finetuned-eurosat
=======================================
This model is a fine-tuned version of openai/clip-vit-base-patch32 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1225
* Accuracy: 0.9614
Model description
-----------------
More informatio... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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null | null |
# NikolayKozloff/csmpt7b-Q8_0-GGUF
This model was converted to GGUF format from [`BUT-FIT/csmpt7b`](https://huggingface.co/BUT-FIT/csmpt7b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/BUT-FIT/csmp... | {"language": ["cs"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["BUT-FIT/BUT-LCC"]} | NikolayKozloff/csmpt7b-Czech-GGUF | null | [
"gguf",
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"gguf-my-repo",
"cs",
"dataset:BUT-FIT/BUT-LCC",
"license:apache-2.0",
"region:us"
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"cs"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #cs #dataset-BUT-FIT/BUT-LCC #license-apache-2.0 #region-us
|
# NikolayKozloff/csmpt7b-Q8_0-GGUF
This model was converted to GGUF format from 'BUT-FIT/csmpt7b' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: You can ... | [
"# NikolayKozloff/csmpt7b-Q8_0-GGUF\nThis model was converted to GGUF format from 'BUT-FIT/csmpt7b' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\n\n\nSer... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/digitous/Alpacino30b
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Alpacino30b-i1-GGUF
... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["alpaca"], "base_model": "digitous/Alpacino30b", "quantized_by": "mradermacher"} | mradermacher/Alpacino30b-GGUF | null | [
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#transformers #gguf #alpaca #en #base_model-digitous/Alpacino30b #license-other #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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null | 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": []} | SinglishToneDetection/Mistral-7B-Instruct-v0.1-speak-singapore-adapter-LORA | null | [
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"arxiv:1910.09700",
"endpoints_compatible",
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"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.
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- Funded by [optional]:
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text-generation | transformers | <!-- 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;">
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
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"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentati... | {"library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"]} | AlejandroTorresMunoz/ppo-Pyramid | null | [
"ml-agents",
"tensorboard",
"onnx",
"Pyramids",
"deep-reinforcement-learning",
"reinforcement-learning",
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#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us
|
# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where ... | [
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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": []} | existence-master/bloomify-classification-gemma2b-lora-0.6k | null | [
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"arxiv:1910.09700",
"endpoints_compatible",
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"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:
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- Shared by [optional]:
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | existence-master/bloomify-classification-gemma2b-merged-0.6k | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | # Quotes Generator
## Project description
Fine-tuned GPT2 model on the Quotes-500K dataset. For a given user prompt, it can generate motivational quotes starting with it. The model weights are deployed on Hugging Face Models Hub.
Check it out at https://huggingface.co/nandinib1999/quote-generator.
## Training data
... | {"language": ["en"], "tags": ["text-generation-inference"], "datasets": ["jstet/quotes-500k"], "metrics": ["perplexity"]} | Aditya12kumar/quote_generator1 | null | [
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"region:us"
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| # Quotes Generator
## Project description
Fine-tuned GPT2 model on the Quotes-500K dataset. For a given user prompt, it can generate motivational quotes starting with it. The model weights are deployed on Hugging Face Models Hub.
Check it out at URL
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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": "microsoft/phi-2"} | jsacex/qlora-finetune-phi-2 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
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- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="osman93/q-FrozenLake-v1-8x8", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is... | {"tags": ["FrozenLake-v1-8x8", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-8x8", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-8x8", "type": "FrozenLake-v1-8x8"}, "metrics": [{... | osman93/q-FrozenLake-v1-8x8 | null | [
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|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
null | null |
# NikolayKozloff/polanka-3b-pretrain-full-v0.4-Q8_0-GGUF
This model was converted to GGUF format from [`piotr-ai/polanka-3b-pretrain-full-v0.4`](https://huggingface.co/piotr-ai/polanka-3b-pretrain-full-v0.4) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Re... | {"language": ["pl"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | NikolayKozloff/polanka-3b-pretrain-full-v0.4-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"pl",
"license:apache-2.0",
"region:us"
] | null | 2024-04-06T12:12:52+00:00 | [] | [
"pl"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #pl #license-apache-2.0 #region-us
|
# NikolayKozloff/polanka-3b-pretrain-full-v0.4-Q8_0-GGUF
This model was converted to GGUF format from 'piotr-ai/polanka-3b-pretrain-full-v0.4' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server o... | [
"# NikolayKozloff/polanka-3b-pretrain-full-v0.4-Q8_0-GGUF\nThis model was converted to GGUF format from 'piotr-ai/polanka-3b-pretrain-full-v0.4' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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summarization | 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. -->
# IndicBART_new
This model is a fine-tuned version of [ai4bharat/IndicBART](https://huggingface.co/ai4bharat/IndicBART) on the Non... | {"tags": ["summarization", "generated_from_trainer"], "base_model": "ai4bharat/IndicBART", "model-index": [{"name": "IndicBART_new", "results": []}]} | october-sd/IndicBART_new | null | [
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"tensorboard",
"safetensors",
"mbart",
"text2text-generation",
"summarization",
"generated_from_trainer",
"base_model:ai4bharat/IndicBART",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T12:18:30+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #mbart #text2text-generation #summarization #generated_from_trainer #base_model-ai4bharat/IndicBART #autotrain_compatible #endpoints_compatible #region-us
| IndicBART\_new
==============
This model is a fine-tuned version of ai4bharat/IndicBART on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 4.1132
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More inform... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 32\n* total\\_train\\_batch\\_size: 1024\n* optimizer: Adam with betas=(0.9,0.999) and eps... | [
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automatic-speech-recognition | transformers | ## Training Distil-Whisper
This sub-folder contains all the scripts required to train a Distil-Whisper model in your choice of language. They are
slightly modified from the original scripts used to distill Whisper for English ASR (as-per the [Distil-Whisper paper](https://arxiv.org/abs/2311.00430)).
The main differen... | {} | Dragon116rus/whisper-small-distill-ru | null | [
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"tensorboard",
"safetensors",
"openvino",
"whisper",
"automatic-speech-recognition",
"arxiv:2311.00430",
"arxiv:2010.13002",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T12:20:25+00:00 | [
"2311.00430",
"2010.13002"
] | [] | TAGS
#transformers #tensorboard #safetensors #openvino #whisper #automatic-speech-recognition #arxiv-2311.00430 #arxiv-2010.13002 #endpoints_compatible #region-us
| Training Distil-Whisper
-----------------------
This sub-folder contains all the scripts required to train a Distil-Whisper model in your choice of language. They are
slightly modified from the original scripts used to distill Whisper for English ASR (as-per the Distil-Whisper paper).
The main difference is that thes... | [
"### Short Form\n\n\nThe script 'run\\_eval.py' can be used to evaluate a trained student model over multiple short-form\nvalidation sets. The following example demonstrates how to evaluate the student model trained in the previous step on\nthe Common Voice 'test' set (ID) and also the FLEURS 'test' set (OOD). Agai... | [
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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. -->
# tmp
This model is a fine-tuned version of [Serega6678/M7Bv01_SFT_50pct_LORA_BF16_FA_2H100](https://huggingface.co/Serega6678/M7B... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "tmp", "results": []}]} | Serega6678/tmp | null | [
"peft",
"safetensors",
"llava_mistral",
"alignment-handbook",
"generated_from_trainer",
"dataset:HuggingFaceH4/ultrachat_200k",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-06T12:20:36+00:00 | [] | [] | TAGS
#peft #safetensors #llava_mistral #alignment-handbook #generated_from_trainer #dataset-HuggingFaceH4/ultrachat_200k #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
| tmp
===
This model is a fine-tuned version of Serega6678/M7Bv01\_SFT\_50pct\_LORA\_BF16\_FA\_2H100 on the HuggingFaceH4/ultrachat\_200k dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0098
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: 32\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 2\n* total\\_train\\_batch\\_size: 64\n* total\\_eval\\_batch\\_size: 16\n* o... | [
"TAGS\n#peft #safetensors #llava_mistral #alignment-handbook #generated_from_trainer #dataset-HuggingFaceH4/ultrachat_200k #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us \n",
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | arnavj007/llama-2-7b-finetune-justice | null | [
"transformers",
"safetensors",
"autotrain",
"text-generation-inference",
"text-generation",
"peft",
"conversational",
"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T12:23:18+00:00 | [] | [] | TAGS
#transformers #safetensors #autotrain #text-generation-inference #text-generation #peft #conversational #license-other #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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] |
text-generation | transformers |
# m0javad/PersianMind-v1.0-Q8_0-GGUF
This model was converted to GGUF format from [`universitytehran/PersianMind-v1.0`](https://huggingface.co/universitytehran/PersianMind-v1.0) using llama.
Refer to the [original model card](https://huggingface.co/universitytehran/PersianMind-v1.0) for more details on the model.
## U... | {"language": ["multilingual", "fa", "en"], "license": "cc-by-nc-sa-4.0", "library_name": "transformers", "tags": ["text-generation-inference", "llama-cpp", "gguf-my-repo"], "metrics": ["bleu", "comet", "accuracy", "perplexity", "spearmanr"], "inference": false, "pipeline_tag": "text-generation", "co2_eq_emissions": {"e... | m0javad/PersianMind-v1.0-Q8_0-GGUF | null | [
"transformers",
"gguf",
"text-generation-inference",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"multilingual",
"fa",
"en",
"license:cc-by-nc-sa-4.0",
"co2_eq_emissions",
"region:us"
] | null | 2024-04-06T12:24:11+00:00 | [] | [
"multilingual",
"fa",
"en"
] | TAGS
#transformers #gguf #text-generation-inference #llama-cpp #gguf-my-repo #text-generation #multilingual #fa #en #license-cc-by-nc-sa-4.0 #co2_eq_emissions #region-us
|
# m0javad/PersianMind-v1.0-Q8_0-GGUF
This model was converted to GGUF format from 'universitytehran/PersianMind-v1.0' using llama.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: You can also use th... | [
"# m0javad/PersianMind-v1.0-Q8_0-GGUF\nThis model was converted to GGUF format from 'universitytehran/PersianMind-v1.0' using llama.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\n\n\nServer:\n\n\n\... | [
"TAGS\n#transformers #gguf #text-generation-inference #llama-cpp #gguf-my-repo #text-generation #multilingual #fa #en #license-cc-by-nc-sa-4.0 #co2_eq_emissions #region-us \n",
"# m0javad/PersianMind-v1.0-Q8_0-GGUF\nThis model was converted to GGUF format from 'universitytehran/PersianMind-v1.0' using llama.\nRef... | [
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"TAGS\n#transformers #gguf #text-generation-inference #llama-cpp #gguf-my-repo #text-generation #multilingual #fa #en #license-cc-by-nc-sa-4.0 #co2_eq_emissions #region-us \n# m0javad/PersianMind-v1.0-Q8_0-GGUF\nThis model was converted to GGUF format from 'universitytehran/PersianMind-v1.0' using llama.\nRefer to ... |
reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | ann-ie/ppo-Huggy | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-06T12:24:59+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutorial* wh... | [
"TAGS\n#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us \n",
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n W... | [
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"TAGS\n#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us \n# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrot... |
null | UniDepth |
This model has been pushed to the Hub using **UniDepth**:
- Repo: https://github.com/lpiccinelli-eth/UniDepth
## Installation
First install the UniDepth package as follows:
```python
!git clone -b add_hf https://github.com/NielsRogge/UniDepth.git
!cd UniDepth
!pip install -r requirements.txt
```
## Usage
Next, on... | {"library_name": "UniDepth", "tags": ["monocular-metric-depth-estimation", "pytorch_model_hub_mixin", "model_hub_mixin"], "repo_url": "https://github.com/lpiccinelli-eth/UniDepth"} | nielsr/unidepth-v1-convnext-large | null | [
"UniDepth",
"pytorch",
"safetensors",
"monocular-metric-depth-estimation",
"pytorch_model_hub_mixin",
"model_hub_mixin",
"region:us"
] | null | 2024-04-06T12:25:03+00:00 | [] | [] | TAGS
#UniDepth #pytorch #safetensors #monocular-metric-depth-estimation #pytorch_model_hub_mixin #model_hub_mixin #region-us
|
This model has been pushed to the Hub using UniDepth:
- Repo: URL
## Installation
First install the UniDepth package as follows:
## Usage
Next, one can load the model and perform inference as follows:
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] |
reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | joosma/atari | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-06T12:26:09+00:00 | [] | [] | TAGS
#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stable Baselines3\nreinforcement learning agents,\nwith hyperparameter optimization and pre-tra... | [
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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. -->
# opt-125m-qnli
This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on the GLUE QN... | {"language": ["en"], "license": "other", "tags": ["generated_from_trainer"], "datasets": ["glue"], "metrics": ["accuracy"], "base_model": "facebook/opt-125m", "model-index": [{"name": "opt-125m-qnli", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "GLUE QNLI", "... | Cheng98/opt-125m-qnli | null | [
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"text-classification",
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#transformers #pytorch #opt #text-classification #generated_from_trainer #en #dataset-glue #base_model-facebook/opt-125m #license-other #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# opt-125m-qnli
This model is a fine-tuned version of facebook/opt-125m on the GLUE QNLI dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8470
- Accuracy: 0.8898
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evalua... | [
"# opt-125m-qnli\n\nThis model is a fine-tuned version of facebook/opt-125m on the GLUE QNLI dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.8470\n- Accuracy: 0.8898",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
... | [
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"# opt-125m-qnli\n\nThis model is a fine-tuned version of facebook/opt-... | [
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null | transformers |
# NikolayKozloff/mGPT-1.3B-ossetian-Q8_0-GGUF
This model was converted to GGUF format from [`ai-forever/mGPT-1.3B-ossetian`](https://huggingface.co/ai-forever/mGPT-1.3B-ossetian) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model ca... | {"language": ["os", "en", "ru"], "license": "mit", "tags": ["gpt3", "transformers", "mgpt", "llama-cpp", "gguf-my-repo"]} | NikolayKozloff/mGPT-1.3B-ossetian-GGUF | null | [
"transformers",
"gguf",
"gpt3",
"mgpt",
"llama-cpp",
"gguf-my-repo",
"os",
"en",
"ru",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T12:28:14+00:00 | [] | [
"os",
"en",
"ru"
] | TAGS
#transformers #gguf #gpt3 #mgpt #llama-cpp #gguf-my-repo #os #en #ru #license-mit #endpoints_compatible #region-us
|
# NikolayKozloff/mGPT-1.3B-ossetian-Q8_0-GGUF
This model was converted to GGUF format from 'ai-forever/mGPT-1.3B-ossetian' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
... | [
"# NikolayKozloff/mGPT-1.3B-ossetian-Q8_0-GGUF\nThis model was converted to GGUF format from 'ai-forever/mGPT-1.3B-ossetian' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or th... | [
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"# NikolayKozloff/mGPT-1.3B-ossetian-Q8_0-GGUF\nThis model was converted to GGUF format from 'ai-forever/mGPT-1.3B-ossetian' using URL via the URL's GGUF-my-repo space.\nRefer to the orig... | [
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text-generation | transformers | <!-- 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/deepseek-ai-deepseek-math-7b-rl-bnb-8bit-smashed | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"pruna-ai",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-06T12:31:32+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n",
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Wisper-Small-zh-TW
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on ... | {"language": ["zh"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_1"], "base_model": "openai/whisper-small", "model-index": [{"name": "Wisper-Small-zh-TW", "results": []}]} | jun-han/whisper-small-zh-TW | null | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"zh",
"dataset:mozilla-foundation/common_voice_16_1",
"base_model:openai/whisper-small",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T12:31:59+00:00 | [] | [
"zh"
] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #zh #dataset-mozilla-foundation/common_voice_16_1 #base_model-openai/whisper-small #license-apache-2.0 #endpoints_compatible #region-us
| Wisper-Small-zh-TW
==================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 16.1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2284
* Cer: 10.0577
Model description
-----------------
More information needed
Intended uses & limitations
----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #zh #dataset-mozilla-foundation/common_voice_16_1 #base_model-openai/whisper-small #license-apache-2.0 #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameter... | [
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null | transformers |
# NikolayKozloff/mGPT-1.3B-mari-Q8_0-GGUF
This model was converted to GGUF format from [`ai-forever/mGPT-1.3B-mari`](https://huggingface.co/ai-forever/mGPT-1.3B-mari) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://... | {"language": ["chm", "en", "ru"], "license": "mit", "tags": ["gpt3", "transformers", "mgpt", "llama-cpp", "gguf-my-repo"]} | NikolayKozloff/mGPT-1.3B-mari-GGUF | null | [
"transformers",
"gguf",
"gpt3",
"mgpt",
"llama-cpp",
"gguf-my-repo",
"chm",
"en",
"ru",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T12:32:47+00:00 | [] | [
"chm",
"en",
"ru"
] | TAGS
#transformers #gguf #gpt3 #mgpt #llama-cpp #gguf-my-repo #chm #en #ru #license-mit #endpoints_compatible #region-us
|
# NikolayKozloff/mGPT-1.3B-mari-Q8_0-GGUF
This model was converted to GGUF format from 'ai-forever/mGPT-1.3B-mari' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
"# NikolayKozloff/mGPT-1.3B-mari-Q8_0-GGUF\nThis model was converted to GGUF format from 'ai-forever/mGPT-1.3B-mari' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n... | [
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null | null |
<img src="https://huggingface.co/anakin87/gemma-2b-orpo/resolve/main/assets/gemma-2b-orpo.png" width="450"></img>
# gemma-2b-orpo-GGUF
This is a GGUF quantized version of the [`gemma-2b-orpo` model](https://huggingface.co/anakin87/gemma-2b-orpo/):
an ORPO fine-tune of google/gemma-2b.
You can find more information,... | {"language": ["en"], "license": "other", "tags": ["orpo"], "datasets": ["alvarobartt/dpo-mix-7k-simplified"], "license_name": "gemma-terms-of-use", "license_link": "https://ai.google.dev/gemma/terms", "base_model": "anakin87/gemma-2b-orpo"} | anakin87/gemma-2b-orpo-GGUF | null | [
"gguf",
"orpo",
"en",
"dataset:alvarobartt/dpo-mix-7k-simplified",
"base_model:anakin87/gemma-2b-orpo",
"license:other",
"has_space",
"region:us"
] | null | 2024-04-06T12:32:55+00:00 | [] | [
"en"
] | TAGS
#gguf #orpo #en #dataset-alvarobartt/dpo-mix-7k-simplified #base_model-anakin87/gemma-2b-orpo #license-other #has_space #region-us
|
<img src="URL width="450"></img>
# gemma-2b-orpo-GGUF
This is a GGUF quantized version of the 'gemma-2b-orpo' model:
an ORPO fine-tune of google/gemma-2b.
You can find more information, including evaluation and training/usage notebook in the 'gemma-2b-orpo' model card
## Model in action
The model can run with all... | [
"# gemma-2b-orpo-GGUF\n\nThis is a GGUF quantized version of the 'gemma-2b-orpo' model: \nan ORPO fine-tune of google/gemma-2b.\n\nYou can find more information, including evaluation and training/usage notebook in the 'gemma-2b-orpo' model card",
"## Model in action\nThe model can run with all the libraries that... | [
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"# gemma-2b-orpo-GGUF\n\nThis is a GGUF quantized version of the 'gemma-2b-orpo' model: \nan ORPO fine-tune of google/gemma-2b.\n\nYou can find more information, including... | [
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"TAGS\n#gguf #orpo #en #dataset-alvarobartt/dpo-mix-7k-simplified #base_model-anakin87/gemma-2b-orpo #license-other #has_space #region-us \n# gemma-2b-orpo-GGUF\n\nThis is a GGUF quantized version of the 'gemma-2b-orpo' model: \nan ORPO fine-tune of google/gemma-2b.\n\nYou can find more information, including evalu... |
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": []} | yassinex02/AI_detector | null | [
"transformers",
"safetensors",
"roberta",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T12:37:51+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #roberta #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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"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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null | null | DataVare Gmail Backup Tool is the most famous software that you can use for downloading or backing up Gmail emails for single or numerous users' accounts. Even store Gmail account data in multiple file formats such as - Outlook PST, EML, EMLX, MBOX, and MSG formats. This utility also provides error-free results for eve... | {} | DataVare/Gmail-Backup-Tool | null | [
"region:us"
] | null | 2024-04-06T12:39:04+00:00 | [] | [] | TAGS
#region-us
| DataVare Gmail Backup Tool is the most famous software that you can use for downloading or backing up Gmail emails for single or numerous users' accounts. Even store Gmail account data in multiple file formats such as - Outlook PST, EML, EMLX, MBOX, and MSG formats. This utility also provides error-free results for eve... | [] | [
"TAGS\n#region-us \n"
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null | transformers |
# NikolayKozloff/mGPT-1.3B-tajik-Q8_0-GGUF
This model was converted to GGUF format from [`ai-forever/mGPT-1.3B-tajik`](https://huggingface.co/ai-forever/mGPT-1.3B-tajik) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https... | {"language": ["tg", "en", "ru"], "license": "mit", "tags": ["gpt3", "transformers", "mgpt", "llama-cpp", "gguf-my-repo"]} | NikolayKozloff/mGPT-1.3B-tajik-GGUF | null | [
"transformers",
"gguf",
"gpt3",
"mgpt",
"llama-cpp",
"gguf-my-repo",
"tg",
"en",
"ru",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T12:40:24+00:00 | [] | [
"tg",
"en",
"ru"
] | TAGS
#transformers #gguf #gpt3 #mgpt #llama-cpp #gguf-my-repo #tg #en #ru #license-mit #endpoints_compatible #region-us
|
# NikolayKozloff/mGPT-1.3B-tajik-Q8_0-GGUF
This model was converted to GGUF format from 'ai-forever/mGPT-1.3B-tajik' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server... | [
"# NikolayKozloff/mGPT-1.3B-tajik-Q8_0-GGUF\nThis model was converted to GGUF format from 'ai-forever/mGPT-1.3B-tajik' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.... | [
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"TAGS\n#transformers #gguf #gpt3 #mgpt #llama-cpp #gguf-my-repo #tg #en #ru #license-mit #endpoints_compatible #region-us \n# NikolayKozloff/mGPT-1.3B-tajik-Q8_0-GGUF\nThis model was converted to GGUF format from 'ai-forever/mGPT-1.3B-tajik' using URL via the URL's GGUF-my-repo space.\nRefer to the original model c... |
null | transformers |
This repository hosts GGUF-IQ-Imatrix quants for [**NLPark/SLIDE-v2**](https://huggingface.co/NLPark/SLIDE-v2).
From [**quantization request #23**](https://huggingface.co/Lewdiculous/Model-Requests/discussions/23).
**Quants:**
```python
quantization_options = [
"Q4_K_M", "Q4_K_S", "IQ4_XS", "Q5_K_M", "Q5... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["gguf", "mistral", "quantized"]} | Lewdiculous/SLIDE-v2-GGUF-IQ-Imatrix | null | [
"transformers",
"gguf",
"mistral",
"quantized",
"en",
"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T12:41:57+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mistral #quantized #en #license-other #endpoints_compatible #region-us
|
This repository hosts GGUF-IQ-Imatrix quants for NLPark/SLIDE-v2.
From quantization request #23.
Quants:
Using the latest of URL released at the time.
Card image:
!image/png
Oringinal model card:
# Shi-Ci Language Identify & Decode Expositor
7B, Multi-Language...
## Prompt Format
Mistral-Instruct | [
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] |
reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
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 huggingf... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | liudoujiang/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-06T12:44:37+00:00 | [] | [] | TAGS
#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# A2C Agent playing PandaReachDense-v3\nThis is a trained model of a A2C agent playing PandaReachDense-v3\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# A2C Agent playing PandaReachDense-v3\nThis is a trained model of a A2C agent playing PandaReachDense-v3\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nT... | [
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null | transformers |
# NikolayKozloff/mGPT-1.3B-kirgiz-Q8_0-GGUF
This model was converted to GGUF format from [`ai-forever/mGPT-1.3B-kirgiz`](https://huggingface.co/ai-forever/mGPT-1.3B-kirgiz) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](ht... | {"language": ["ky", "en", "ru"], "license": "mit", "tags": ["gpt3", "transformers", "mgpt", "llama-cpp", "gguf-my-repo"]} | NikolayKozloff/mGPT-1.3B-kirgiz-GGUF | null | [
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|
# NikolayKozloff/mGPT-1.3B-kirgiz-Q8_0-GGUF
This model was converted to GGUF format from 'ai-forever/mGPT-1.3B-kirgiz' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Serv... | [
"# NikolayKozloff/mGPT-1.3B-kirgiz-Q8_0-GGUF\nThis model was converted to GGUF format from 'ai-forever/mGPT-1.3B-kirgiz' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | nono647/test_fine_tune_midjourney | null | [
"peft",
"region:us"
] | null | 2024-04-06T12:45:12+00:00 | [] | [] | TAGS
#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | [
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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": []} | dpdaya/dialogue_Summary | null | [
"transformers",
"safetensors",
"bart",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #bart #text2text-generation #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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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. -->
# llama2-7b-chat-news-summarization-meshrif
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingf... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["multi_news"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "llama2-7b-chat-news-summarization-meshrif", "results": []}]} | Meshrif/llama2-7b-chat-news-summarization-meshrif | null | [
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"region:us"
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-multi_news #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
|
# llama2-7b-chat-news-summarization-meshrif
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the multi_news dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pr... | [
"# llama2-7b-chat-news-summarization-meshrif\n\nThis model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the multi_news dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore 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": []} | hibikaze/rinna_japanese-gpt2-xsmall_openassistant | null | [
"transformers",
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"gpt2",
"text-generation",
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"endpoints_compatible",
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] | null | 2024-04-06T12:50:34+00:00 | [
"1910.09700"
] | [] | TAGS
#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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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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": "google/flan-t5-large"} | HeydarS/flant5_lg_popQA_peft_v7 | null | [
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|
# 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 | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/totally-not-an-llm/EverythingLM-13b-16k
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "datasets": ["totally-not-an-llm/EverythingLM-data"], "base_model": "totally-not-an-llm/EverythingLM-13b-16k", "quantized_by": "mradermacher"} | mradermacher/EverythingLM-13b-16k-GGUF | null | [
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#transformers #gguf #en #dataset-totally-not-an-llm/EverythingLM-data #base_model-totally-not-an-llm/EverythingLM-13b-16k #license-llama2 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
null | transformers |
# NikolayKozloff/mGPT-1.3B-uzbek-Q8_0-GGUF
This model was converted to GGUF format from [`ai-forever/mGPT-1.3B-uzbek`](https://huggingface.co/ai-forever/mGPT-1.3B-uzbek) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https... | {"language": ["uz", "en", "ru"], "license": "mit", "tags": ["gpt3", "transformers", "mgpt", "llama-cpp", "gguf-my-repo"]} | NikolayKozloff/mGPT-1.3B-uzbek-GGUF | null | [
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#transformers #gguf #gpt3 #mgpt #llama-cpp #gguf-my-repo #uz #en #ru #license-mit #endpoints_compatible #region-us
|
# NikolayKozloff/mGPT-1.3B-uzbek-Q8_0-GGUF
This model was converted to GGUF format from 'ai-forever/mGPT-1.3B-uzbek' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server... | [
"# NikolayKozloff/mGPT-1.3B-uzbek-Q8_0-GGUF\nThis model was converted to GGUF format from 'ai-forever/mGPT-1.3B-uzbek' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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text-generation | transformers |
# Qwen1.5-32B
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
* 8 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B and 72B dense models, and an MoE... | {"language": ["en"], "license": "other", "tags": ["pretrained"], "license_name": "tongyi-qianwen-research", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B/blob/main/LICENSE", "pipeline_tag": "text-generation"} | LoneStriker/Qwen1.5-32B-3.0bpw-h6-exl2 | null | [
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"en",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"3-bit",
"region:us"
] | null | 2024-04-06T12:52:32+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #qwen2 #text-generation #pretrained #conversational #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #3-bit #region-us
|
# Qwen1.5-32B
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
* 8 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B and 72B dense models, and an MoE... | [
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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. -->
# stablelm-2-1_6b-orpo-full-v2
This model is a fine-tuned version of [stabilityai/stablelm-2-1_6b](https://huggingface.co/stabilit... | {"license": "other", "tags": ["alignment-handbook", "trl", "orpo", "generated_from_trainer", "trl", "orpo", "generated_from_trainer"], "datasets": ["argilla/ultrafeedback-binarized-preferences-cleaned"], "base_model": "stabilityai/stablelm-2-1_6b", "model-index": [{"name": "stablelm-2-1_6b-orpo-full-v2", "results": []}... | vain05/stablelm-2-1_6b-orpo-full-v2 | null | [
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"... | null | 2024-04-06T12:54:45+00:00 | [] | [] | TAGS
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|
# stablelm-2-1_6b-orpo-full-v2
This model is a fine-tuned version of stabilityai/stablelm-2-1_6b on the argilla/ultrafeedback-binarized-preferences-cleaned dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More informat... | [
"# stablelm-2-1_6b-orpo-full-v2\n\nThis model is a fine-tuned version of stabilityai/stablelm-2-1_6b on the argilla/ultrafeedback-binarized-preferences-cleaned dataset.",
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null | transformers |
# NikolayKozloff/mGPT-1.3B-georgian-Q8_0-GGUF
This model was converted to GGUF format from [`ai-forever/mGPT-1.3B-georgian`](https://huggingface.co/ai-forever/mGPT-1.3B-georgian) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model ca... | {"language": ["ka", "en", "ru"], "license": "mit", "tags": ["gpt3", "transformers", "mgpt", "llama-cpp", "gguf-my-repo"]} | NikolayKozloff/mGPT-1.3B-georgian-GGUF | null | [
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|
# NikolayKozloff/mGPT-1.3B-georgian-Q8_0-GGUF
This model was converted to GGUF format from 'ai-forever/mGPT-1.3B-georgian' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
... | [
"# NikolayKozloff/mGPT-1.3B-georgian-Q8_0-GGUF\nThis model was converted to GGUF format from 'ai-forever/mGPT-1.3B-georgian' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or th... | [
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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": []} | hibikaze/rinna_japanese-gpt2-small_openassistant | 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 |
# 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": []} | xavier7778/new_finetuned_model_xavier | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# 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": []} | ntvcie/gemma_Vinh_test_08 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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text-generation | transformers |
# Qwen1.5-32B
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
* 8 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B and 72B dense models, and an MoE... | {"language": ["en"], "license": "other", "tags": ["pretrained"], "license_name": "tongyi-qianwen-research", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B/blob/main/LICENSE", "pipeline_tag": "text-generation"} | LoneStriker/Qwen1.5-32B-4.0bpw-h6-exl2 | null | [
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|
# Qwen1.5-32B
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
* 8 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B and 72B dense models, and an MoE... | [
"# Qwen1.5-32B",
"## Introduction\n\nQwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:\n\n* 8 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B and 72B dense models,... | [
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null | transformers |
# NikolayKozloff/mGPT-1.3B-armenian-Q8_0-GGUF
This model was converted to GGUF format from [`ai-forever/mGPT-1.3B-armenian`](https://huggingface.co/ai-forever/mGPT-1.3B-armenian) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model ca... | {"language": ["hy", "en", "ru"], "license": "mit", "tags": ["gpt3", "transformers", "mgpt", "llama-cpp", "gguf-my-repo"]} | NikolayKozloff/mGPT-1.3B-armenian-GGUF | null | [
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|
# NikolayKozloff/mGPT-1.3B-armenian-Q8_0-GGUF
This model was converted to GGUF format from 'ai-forever/mGPT-1.3B-armenian' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
... | [
"# NikolayKozloff/mGPT-1.3B-armenian-Q8_0-GGUF\nThis model was converted to GGUF format from 'ai-forever/mGPT-1.3B-armenian' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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null | transformers |
# NikolayKozloff/mGPT-1.3B-chuvash-Q8_0-GGUF
This model was converted to GGUF format from [`ai-forever/mGPT-1.3B-chuvash`](https://huggingface.co/ai-forever/mGPT-1.3B-chuvash) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card]... | {"language": ["cv", "en", "ru"], "license": "mit", "tags": ["gpt3", "transformers", "mgpt", "llama-cpp", "gguf-my-repo"]} | NikolayKozloff/mGPT-1.3B-chuvash-GGUF | null | [
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|
# NikolayKozloff/mGPT-1.3B-chuvash-Q8_0-GGUF
This model was converted to GGUF format from 'ai-forever/mGPT-1.3B-chuvash' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Se... | [
"# NikolayKozloff/mGPT-1.3B-chuvash-Q8_0-GGUF\nThis model was converted to GGUF format from 'ai-forever/mGPT-1.3B-chuvash' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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text-generation | transformers | # Flammen-Bophades
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [nbeerbower/slerp-bophades-truthy... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["nbeerbower/slerp-bophades-truthy-math-mistral-7B", "nbeerbower/flammen15-gutenberg-DPO-v1-7B"]} | nbeerbower/Flammen-Bophades-7B | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inferen... | null | 2024-04-06T13:04:14+00:00 | [] | [] | TAGS
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| # Flammen-Bophades
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* nbeerbower/slerp-bophades-truthy-math-mistral-7B
* nbeerbower/flammen1... | [
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text-generation | transformers |
# Qwen1.5-32B
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
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# Qwen1.5-32B
## Introduction
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# convnext-tiny-224-finetuned-eurosat-albumentations
This model is a fine-tuned version of [facebook/convnext-tiny-224](https://hu... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "facebook/convnext-tiny-224", "model-index": [{"name": "convnext-tiny-224-finetuned-eurosat-albumentations", "results": [{"task": {"type": "image-classification", "name": "Image Classificati... | vlevi/convnext-tiny-224-finetuned-eurosat-albumentations | null | [
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| convnext-tiny-224-finetuned-eurosat-albumentations
==================================================
This model is a fine-tuned version of facebook/convnext-tiny-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8091
* Accuracy: 0.6367
Model description
----------... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | soniawmeyer/Mistral_7B_QLORA_SM | null | [
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text-generation | transformers |
# Qwen1.5-32B
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
* 8 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B and 72B dense models, and an MoE... | {"language": ["en"], "license": "other", "tags": ["pretrained"], "license_name": "tongyi-qianwen-research", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B/blob/main/LICENSE", "pipeline_tag": "text-generation"} | LoneStriker/Qwen1.5-32B-5.0bpw-h6-exl2 | null | [
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## Introduction
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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. -->
# emotional-distilbert
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilber... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "emotional-distilbert", "results": []}]} | sherelyn912/emotional-distilbert-1 | null | [
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| emotional-distilbert
====================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.2137
* Accuracy: 0.4310
* F1: 0.4257
* Precision: 0.4466
* Recall: 0.4310
Model description
-----------------
... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
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null | mlx |
# GreenBitAI/yi-6b-chat-w4a16g32-mlx
This quantized low-bit model was converted to MLX format from [`GreenBitAI/yi-6b-chat-w4a16g32`]().
Refer to the [original model card](https://huggingface.co/GreenBitAI/yi-6b-chat-w4a16g32) for more details on the model.
## Use with mlx
```bash
pip install gbx-lm
```
```python
fr... | {"license": "apache-2.0", "tags": ["mlx"]} | GreenBitAI/yi-6b-chat-w4a16g32-mlx | null | [
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# GreenBitAI/yi-6b-chat-w4a16g32-mlx
This quantized low-bit model was converted to MLX format from ['GreenBitAI/yi-6b-chat-w4a16g32']().
Refer to the original model card for more details on the model.
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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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text-generation | transformers |
# Model Card for Model ID
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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. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0uncle0/uncle47 | null | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 0.001_optm_idpo_4iters_iter_2
This model is a fine-tuned version of [ShenaoZhang/0.001_idpo_4iters_iter_2](https://huggingface.c... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_idpo_4iters_iter_2", "model-index": [{"name": "0.001_optm_idpo_4iters_iter_2", "results": []}]} | ShenaoZhang/0.001_optm_idpo_4iters_iter_2 | null | [
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# 0.001_optm_idpo_4iters_iter_2
This model is a fine-tuned version of ShenaoZhang/0.001_idpo_4iters_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# opt-125m-qqp
This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on the GLUE QQP... | {"language": ["en"], "license": "other", "tags": ["generated_from_trainer"], "datasets": ["glue"], "metrics": ["accuracy", "f1"], "base_model": "facebook/opt-125m", "model-index": [{"name": "opt-125m-qqp", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "GLUE QQP... | Cheng98/opt-125m-qqp | null | [
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# opt-125m-qqp
This model is a fine-tuned version of facebook/opt-125m on the GLUE QQP dataset.
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- Accuracy: 0.9015
- F1: 0.8674
- Combined Score: 0.8844
## Model description
More information needed
## Intended uses & limitations
More inform... | [
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text-generation | transformers |
# Qwen1.5-32B
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
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# Qwen1.5-32B
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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": []} | jsacex/qlora-phi-2 | null | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-eurosat", "results": [{"task": {"type": "image-classification", "name": "Image Clas... | vlevi/swin-tiny-patch4-window7-224-finetuned-eurosat | null | [
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| swin-tiny-patch4-window7-224-finetuned-eurosat
==============================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2633
* Accuracy: 0.9101
Model description
------... | [
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text-generation | transformers | <!-- header start -->
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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": []} | ysr/deepseek-rust-1.3b-lora-4k | null | [
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"TAGS\n#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed o... |
text-generation | transformers |
# Qwen1.5-32B
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
* 8 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B and 72B dense models, and an MoE... | {"language": ["en"], "license": "other", "tags": ["pretrained"], "license_name": "tongyi-qianwen-research", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B/blob/main/LICENSE", "pipeline_tag": "text-generation"} | LoneStriker/Qwen1.5-32B-8.0bpw-h8-exl2 | null | [
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"text-generation",
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"en",
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#transformers #safetensors #qwen2 #text-generation #pretrained #conversational #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
|
# Qwen1.5-32B
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
* 8 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B and 72B dense models, and an MoE... | [
"# Qwen1.5-32B",
"## Introduction\n\nQwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:\n\n* 8 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B and 72B dense models,... | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #pretrained #conversational #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n",
"# Qwen1.5-32B",
"## Introduction\n\nQwen1.5 is the beta version of Qwen2, a transformer-based decoder-only langu... | [
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"TAGS\n#transformers #safetensors #qwen2 #text-generation #pretrained #conversational #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n# Qwen1.5-32B## Introduction\n\nQwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pr... |
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