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text-classification | keras-nlp | This is a [`Bert` model](https://keras.io/api/keras_nlp/models/bert) uploaded using the KerasNLP library.
This model is related to a `Classifier` task.
Model config:
* **name:** bert_backbone
* **trainable:** True
* **vocabulary_size:** 30522
* **num_layers:** 2
* **num_heads:** 2
* **hidden_dim:** 128
* **intermediat... | {"library_name": "keras-nlp", "pipeline_tag": "text-classification"} | samanehs/test_bert | null | [
"keras-nlp",
"text-classification",
"region:us"
] | null | 2024-04-24T17:10:50+00:00 | [] | [] | TAGS
#keras-nlp #text-classification #region-us
| This is a 'Bert' model uploaded using the KerasNLP library.
This model is related to a 'Classifier' task.
Model config:
* name: bert_backbone
* trainable: True
* vocabulary_size: 30522
* num_layers: 2
* num_heads: 2
* hidden_dim: 128
* intermediate_dim: 512
* dropout: 0.1
* max_sequence_length: 512
* num_segments: 2
... | [] | [
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null | transformers |
# Uploaded model
- **Developed by:** vincentyandex
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | vincentyandex/llama3_8b_chsnovel_q8_0_bs8_step120 | null | [
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|
# Uploaded model
- Developed by: vincentyandex
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers |
## Installation from source
```bash
git clone https://github.com/foundation-model-stack/fms-extras
cd fms-extras
pip install -e .
```
## Description
This model is intended to be used as an accelerator for [granite 7B (instruct lab)](https://huggingface.co/instructlab/granite-7b-lab) and takes inspiration
from the... | {"license": "llama2"} | ibm/granite-7b-lab-accelerator | null | [
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#transformers #safetensors #mlp_speculator #license-llama2 #endpoints_compatible #region-us
|
## Installation from source
## Description
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ripaaiii/fine-tune-C1-revised-lr6-boxkecil20_besar5 | 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-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "datas... | mikechen/distilbert-base-uncased-finetuned-emotion | null | [
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| distilbert-base-uncased-finetuned-emotion
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2190
* Accuracy: 0.9235
* F1: 0.9234
Model description
-----------------
Mo... | [
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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": []} | CMU-AIR2/math-deepseek-FULL-ArithHardC12-FTMWP-FULL | 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 |
- Original model is [beomi/Llama-3-Open-Ko-8B](https://huggingface.co/beomi/Llama-3-Open-Ko-8B)
- quantized using [llama.cpp](https://github.com/ggerganov/llama.cpp)
## Ollama
Modelfile
```
FROM Llama-3-Open-Ko-8B-Q8_0.gguf
TEMPLATE """{{- if .System }}
<s>{{ .System }}</s>
{{- end }}
<s>Human:
{{ .Prompt }}</s>
... | {"language": ["en", "ko"], "license": "llama3", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "llama-3-ko"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "https://llama.meta.com/llama3/license"} | teddylee777/Llama-3-Open-Ko-8B-gguf | null | [
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| * Original model is beomi/Llama-3-Open-Ko-8B
* quantized using URL
Ollama
------
Modelfile
>
> Update @ 2024.04.24: Release Llama-3-Open-Ko-8B model & Llama-3-Open-Ko-8B-Instruct-preview
>
>
>
Model Details
-------------
Llama-3-Open-Ko-8B
The Llama-3-Open-Ko-8B model is a continued pretrained language... | [
"### Responsibility & Safety\n\n\nMeta's commitment to Responsible AI includes steps to limit misuse and harm while supporting the open source community. Developers are encouraged to implement safety best practices and use resources like Meta Llama Guard 2 and Code Shield to tailor safety needs specifically to thei... | [
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text-generation | transformers | # Стрела
Быстрая большая языковая модель, созданная специально для более быстрых диалогов.
# [В РАЗРАБОТКЕ] | {"language": ["ru", "en"], "library_name": "transformers", "datasets": ["0x7o/oasst2-ru-ppo"], "pipeline_tag": "text-generation"} | gai-labs/strela | null | [
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| # Стрела
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null | transformers |
# Uploaded model
- **Developed by:** Willy030125
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/i... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/llama-3-8b"} | Willy030125/LLaMa-3-8B-Alpaca-GGUF | 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]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_Human_tiny_Seed103 | null | [
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|
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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": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_Human_tiny_Seed103 | null | [
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"1910.09700"
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#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
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## Uses
### Direct Use
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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": []} | ibibek/mynewmodel | 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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image-classification | transformers | tags:
- vision
- image-classification
datasets:
- omarques/autotrain-data-dogs-and-cats | {"license": "cc-by-nc-4.0"} | akxier/perros_gatos | null | [
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"license:cc-by-nc-4.0",
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#transformers #pytorch #vit #image-classification #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #region-us
| tags:
- vision
- image-classification
datasets:
- omarques/autotrain-data-dogs-and-cats | [] | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/macadeliccc/Opus-Samantha-Llama-3-8B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["macadeliccc/opus_samantha"], "base_model": "macadeliccc/Opus-Samantha-Llama-3-8B", "quantized_by": "mradermacher"} | mradermacher/Opus-Samantha-Llama-3-8B-GGUF | null | [
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#transformers #gguf #en #dataset-macadeliccc/opus_samantha #base_model-macadeliccc/Opus-Samantha-Llama-3-8B #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
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": []} | Weblet/phi-1.5-turbo1713979458374441_mlabonne-guanaco-llama2-1k_train | null | [
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"safetensors",
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"text-generation",
"custom_code",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"1910.09700"
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#transformers #safetensors #phi #text-generation #custom_code #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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automatic-speech-recognition | transformers |
# Latvian Whisper tiny speech recognition model
This model has been merged to [RaivisDejus/whisper-tiny-lv](https://huggingface.co/RaivisDejus/whisper-tiny-lv) and will be removed in near future. Please use `RaivisDejus/whisper-tiny-lv`
To improve speech recognition quality, more data is needed, donate your voice on... | {"language": ["lv"], "license": "apache-2.0", "tags": ["Whisper", "CTranslate2"], "metrics": [{"name": "wer", "type": "wer", "value": 21.96}], "pipeline_tag": "automatic-speech-recognition"} | RaivisDejus/whisper-tiny-lv-ct2 | null | [
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"lv"
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#transformers #Whisper #CTranslate2 #automatic-speech-recognition #lv #license-apache-2.0 #endpoints_compatible #region-us
|
# Latvian Whisper tiny speech recognition model
This model has been merged to RaivisDejus/whisper-tiny-lv and will be removed in near future. Please use 'RaivisDejus/whisper-tiny-lv'
To improve speech recognition quality, more data is needed, donate your voice on Balsu talka
| [
"# Latvian Whisper tiny speech recognition model\n\nThis model has been merged to RaivisDejus/whisper-tiny-lv and will be removed in near future. Please use 'RaivisDejus/whisper-tiny-lv'\n\nTo improve speech recognition quality, more data is needed, donate your voice on Balsu talka"
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multiple-choice | 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. -->
# NLPGroupProject-Finetune-bio-mobilebert-AL
This model is a fine-tuned version of [nlpie/bio-mobilebert](https://huggingface.co/n... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "nlpie/bio-mobilebert", "model-index": [{"name": "NLPGroupProject-Finetune-bio-mobilebert-AL", "results": []}]} | BenjaminTT/NLPGroupProject-Finetune-bio-mobilebert-AL | null | [
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"mobilebert",
"multiple-choice",
"generated_from_trainer",
"base_model:nlpie/bio-mobilebert",
"license:mit",
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| NLPGroupProject-Finetune-bio-mobilebert-AL
==========================================
This model is a fine-tuned version of nlpie/bio-mobilebert on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0324
* Accuracy: 0.742
Model description
-----------------
More information n... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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text-generation | transformers | # Llama-3-Ko-8B-dare-ties
This is the series of 'Base + Language + Instruct', chat vector and various methods in mergekit.
Thanks again! @beomi
For more details about what is this model and why I'm doing this, check out this model's info [Instruct-vector-diff](https://huggingface.co/kuotient/Llama-3-8B-Instruct-vecto... | {"language": ["ko"], "license": "other", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["beomi/Llama-3-Open-Ko-8B", "meta-llama/Meta-Llama-3-8B-Instruct", "meta-llama/Meta-Llama-3-8B"], "license_name": "llama3"} | kuotient/Llama-3-Ko-8B-dare-ties | null | [
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"license:other",... | null | 2024-04-24T17:31:36+00:00 | [
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=======================
This is the series of 'Base + Language + Instruct', chat vector and various methods in mergekit.
Thanks again! @beomi
For more details about what is this model and why I'm doing this, check out this model's info Instruct-vector-diff
Model: beomi/Llama-3-Open-Ko-8B-I... | [
"### Merge Method\n\n\nThis model was merged using the DARE TIES merge method using meta-llama/Meta-Llama-3-8B as a base.",
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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": "deepseek-ai/deepseek-coder-1.3b-instruct"} | CMU-AIR2/math-deepseek_LORA_HardArith_Interm-FTMWP-LORA | null | [
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"safetensors",
"llama",
"arxiv:1910.09700",
"base_model:deepseek-ai/deepseek-coder-1.3b-instruct",
"region:us"
] | null | 2024-04-24T17:32:05+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #llama #arxiv-1910.09700 #base_model-deepseek-ai/deepseek-coder-1.3b-instruct #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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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. -->
# output1
This model is a fine-tuned version of [microsoft/deberta-v2-xxlarge](https://huggingface.co/microsoft/deberta-v2-xxlarge... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "microsoft/deberta-v2-xxlarge", "model-index": [{"name": "output1", "results": []}]} | frankie699/output1 | null | [
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| output1
=======
This model is a fine-tuned version of microsoft/deberta-v2-xxlarge on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7690
* Accuracy: 0.676
* Macro F1: 0.6761
Model description
-----------------
More information needed
Intended uses & limitations
-------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 6e-06\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 64\n* total\\_train\\_batch\\_size: 64\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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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. -->
# riddle-bot-v1
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "riddle-bot-v1", "results": []}]} | mitultiwari/riddle-bot-v1 | null | [
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|
# riddle-bot-v1
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training h... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# 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": []} | Weblet/phi-1.5-turbo17139798851168182_mlabonne-guanaco-llama2-1k_train | null | [
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# Model Card for Model ID
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Julesb5/gemma-1.1-2b-it-peft-4-med1-r1 | null | [
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text-generation | transformers |
## Exllama v2 Quantizations of wavecoder-ultra-1.1-6.7b
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.19">turboderp's ExLlamaV2 v0.0.19</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each branc... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["code"], "datasets": ["humaneval"], "metrics": ["code_eval"], "license_link": "https://huggingface.co/microsoft/wavecoder-ultra-6.7b/blob/main/LICENSE", "pipeline_tag": "text-generation", "quantized_by": "bartowski"} | bartowski/wavecoder-ultra-1.1-6.7b-exl2 | null | [
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| Exllama v2 Quantizations of wavecoder-ultra-1.1-6.7b
----------------------------------------------------
Using <a href="URL ExLlamaV2 v0.0.19 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
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reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-Pixelcopter-PLE-v0", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelco... | rahil1206/Reinforce-Pixelcopter-PLE-v0 | null | [
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|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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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. -->
# Arabic-MARBERT-dialect-Identification-City-Model
This model is a fine-tuned version of [Ammar-alhaj-ali/arabic-MARBERT-dialect-i... | {"tags": ["generated_from_trainer"], "base_model": "Ammar-alhaj-ali/arabic-MARBERT-dialect-identification-city", "model-index": [{"name": "Arabic-MARBERT-dialect-Identification-City-Model", "results": []}]} | yemen2016/Arabic-MARBERT-dialect-Identification-City-Model | null | [
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| Arabic-MARBERT-dialect-Identification-City-Model
================================================
This model is a fine-tuned version of Ammar-alhaj-ali/arabic-MARBERT-dialect-identification-city on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.8911
* F1-score: 0.5786
Model... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# flan-t5-base-eLife
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/flan-t5-base", "model-index": [{"name": "flan-t5-base-eLife", "results": []}]} | tanishq1420/flan-t5-base-eLife | null | [
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| flan-t5-base-eLife
==================
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0883
* Rouge1: 0.3665
* Rouge2: 0.0826
* Rougel: 0.3524
* Bertscore: 0.8322
* Readability: 8.6631
Model description
------------... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Met... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["ai-maker-space/riddle-bot-v1", "ai-maker-space/leagaleasy-llama-3-instruct-v2", "meta-llama/Meta-Llama-3-8B-Instruct"]} | mitultiwari/llama3-riddle-legal | null | [
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"autotrain_compatible",... | null | 2024-04-24T17:45:35+00:00 | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using meta-llama/Meta-Llama-3-8B-Instruct as a base.
### Models Merged
The following models were included in the merge:
* ai-maker-space/riddle-bot-v1
*... | [
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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"} | vitorandrade/phi-2_PT_2.0 | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:microsoft/phi-2",
"region:us"
] | null | 2024-04-24T17:47:30+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-microsoft/phi-2 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
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reinforcement-learning | sample-factory |
A(n) **APPO** model trained on the **doom_health_gathering_supreme** environment.
This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
## Downloading the model
After installing Sa... | {"library_name": "sample-factory", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "sample-factory"], "model-index": [{"name": "APPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "doom_health_gathering_supreme", "type": "doom_health_ga... | jeliasherrero/rl_course_vizdoom_health_gathering_supreme | null | [
"sample-factory",
"tensorboard",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-24T17:47:36+00:00 | [] | [] | TAGS
#sample-factory #tensorboard #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
A(n) APPO model trained on the doom_health_gathering_supreme environment.
This model was trained using Sample-Factory 2.0: URL
Documentation for how to use Sample-Factory can be found at URL
## Downloading the model
After installing Sample-Factory, download the model with:
## Using the model
To run the mod... | [
"## Downloading the model\n\nAfter installing Sample-Factory, download the model with:",
"## Using the model\n\nTo run the model after download, use the 'enjoy' script corresponding to this environment:\n\n\n\nYou can also upload models to the Hugging Face Hub using the same script with the '--push_to_hub' flag.\... | [
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"TAGS\n#sample-factory #tensorboard #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n## Downloading the model\n\nAfter installing Sample-Factory, download the model with:## Using the model\n\nTo run the model after download, use the 'enjoy' script corresponding to this environment:\n\n... |
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": []} | four-two-labs/nord-TinyLlama | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-24T17:47:59+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"## Model Details",
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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",
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text-generation | transformers |
## Llama 3 8B 64K
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
<img src="https://huggingface.co/winglian/Llama-3-8b-64k-PoSE/resolve/main/output.... | {"language": ["en"], "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "axolotl"], "pipeline_tag": "text-generation"} | winglian/Llama-3-8b-64k-PoSE | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"pytorch",
"llama-3",
"axolotl",
"en",
"arxiv:2309.10400",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-24T17:48:54+00:00 | [
"2309.10400"
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"en"
] | TAGS
#transformers #safetensors #llama #text-generation #facebook #meta #pytorch #llama-3 #axolotl #en #arxiv-2309.10400 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Llama 3 8B 64K
--------------
<img src="URL alt="Built with Axolotl" width="200" height="32"/>
<img src="URL />
This model uses PoSE to extend Llama's context length from 8k to 64k @ rope\_theta: 500000.0.
We used PoSE with continued pretraining on 300M tokens from the RedPajama V1 dataset using data between 6k-8... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository.\n\n\nTo download Original checkpoints, see the example command below leveraging 'huggingface-cli':\n\n\nFor Hugging Face support, we recommend using t... | [
"TAGS\n#transformers #safetensors #llama #text-generation #facebook #meta #pytorch #llama-3 #axolotl #en #arxiv-2309.10400 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
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sentence-similarity | sentence-transformers |
# jonaschris2103/tiny_llama_embedder
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 2048 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this m... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | jonaschris2103/tiny_llama_embedder | null | [
"sentence-transformers",
"safetensors",
"llama",
"feature-extraction",
"sentence-similarity",
"transformers",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T17:51:25+00:00 | [] | [] | TAGS
#sentence-transformers #safetensors #llama #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us
|
# jonaschris2103/tiny_llama_embedder
This is a sentence-transformers model: It maps sentences & paragraphs to a 2048 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 have sentence-transformers insta... | [
"# jonaschris2103/tiny_llama_embedder\n\nThis is a sentence-transformers model: It maps sentences & paragraphs to a 2048 dimensional dense vector space and can be used for tasks like clustering or semantic search.",
"## Usage (Sentence-Transformers)\n\nUsing this model becomes easy when you have sentence-transfor... | [
"TAGS\n#sentence-transformers #safetensors #llama #feature-extraction #sentence-similarity #transformers #endpoints_compatible #region-us \n",
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null | transformers |
# Uploaded model
- **Developed by:** Mollel
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "gguf"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | Mollel/Swahili_Gemma_Q8_0 | null | [
"transformers",
"gguf",
"gemma",
"text-generation-inference",
"unsloth",
"en",
"base_model:unsloth/gemma-7b-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T17:52:30+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #gemma #text-generation-inference #unsloth #en #base_model-unsloth/gemma-7b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: Mollel
- License: apache-2.0
- Finetuned from model : unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: Mollel\n- License: apache-2.0\n- Finetuned from model : unsloth/gemma-7b-bnb-4bit\n\nThis gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
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null | transformers.js |
YOLOv8n-pose with ONNX weights to be compatible with Transformers.js.
## Usage (Transformers.js)
If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@xenova/transformers) using:
```bash
npm i @xenova/tr... | {"license": "agpl-3.0", "library_name": "transformers.js", "tags": ["pose-estimation"]} | Xenova/yolov8n-pose | null | [
"transformers.js",
"onnx",
"yolov8",
"pose-estimation",
"license:agpl-3.0",
"region:us"
] | null | 2024-04-24T17:52:47+00:00 | [] | [] | TAGS
#transformers.js #onnx #yolov8 #pose-estimation #license-agpl-3.0 #region-us
|
YOLOv8n-pose with ONNX weights to be compatible with URL.
## Usage (URL)
If you haven't already, you can install the URL JavaScript library from NPM using:
Example: Perform pose-estimation w/ 'Xenova/yolov8n-pose'.
<details>
<summary>See example output</summary>
</details> | [
"## Usage (URL)\n\nIf you haven't already, you can install the URL JavaScript library from NPM using:\n\n\nExample: Perform pose-estimation w/ 'Xenova/yolov8n-pose'.\n\n\n\n<details>\n\n<summary>See example output</summary>\n\n\n</details>"
] | [
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"## Usage (URL)\n\nIf you haven't already, you can install the URL JavaScript library from NPM using:\n\n\nExample: Perform pose-estimation w/ 'Xenova/yolov8n-pose'.\n\n\n\n<details>\n\n<summary>See example output</summary>\n... | [
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"TAGS\n#transformers.js #onnx #yolov8 #pose-estimation #license-agpl-3.0 #region-us \n## Usage (URL)\n\nIf you haven't already, you can install the URL JavaScript library from NPM using:\n\n\nExample: Perform pose-estimation w/ 'Xenova/yolov8n-pose'.\n\n\n\n<details>\n\n<summary>See example output</summary>\n\n\n</... |
null | transformers.js |
YOLOv8s-pose with ONNX weights to be compatible with Transformers.js.
## Usage (Transformers.js)
If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@xenova/transformers) using:
```bash
npm i @xenova/tr... | {"license": "agpl-3.0", "library_name": "transformers.js", "tags": ["pose-estimation"]} | Xenova/yolov8s-pose | null | [
"transformers.js",
"onnx",
"yolov8",
"pose-estimation",
"license:agpl-3.0",
"region:us"
] | null | 2024-04-24T17:52:50+00:00 | [] | [] | TAGS
#transformers.js #onnx #yolov8 #pose-estimation #license-agpl-3.0 #region-us
|
YOLOv8s-pose with ONNX weights to be compatible with URL.
## Usage (URL)
If you haven't already, you can install the URL JavaScript library from NPM using:
Example: Perform pose-estimation w/ 'Xenova/yolov8s-pose'.
<details>
<summary>See example output</summary>
</details> | [
"## Usage (URL)\n\nIf you haven't already, you can install the URL JavaScript library from NPM using:\n\n\nExample: Perform pose-estimation w/ 'Xenova/yolov8s-pose'.\n\n\n\n<details>\n\n<summary>See example output</summary>\n\n\n</details>"
] | [
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30,
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"TAGS\n#transformers.js #onnx #yolov8 #pose-estimation #license-agpl-3.0 #region-us \n## Usage (URL)\n\nIf you haven't already, you can install the URL JavaScript library from NPM using:\n\n\nExample: Perform pose-estimation w/ 'Xenova/yolov8s-pose'.\n\n\n\n<details>\n\n<summary>See example output</summary>\n\n\n</... |
null | transformers.js |
YOLOv8m-pose with ONNX weights to be compatible with Transformers.js.
## Usage (Transformers.js)
If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@xenova/transformers) using:
```bash
npm i @xenova/tr... | {"license": "agpl-3.0", "library_name": "transformers.js", "tags": ["pose-estimation"]} | Xenova/yolov8m-pose | null | [
"transformers.js",
"onnx",
"yolov8",
"pose-estimation",
"license:agpl-3.0",
"region:us"
] | null | 2024-04-24T17:52:54+00:00 | [] | [] | TAGS
#transformers.js #onnx #yolov8 #pose-estimation #license-agpl-3.0 #region-us
|
YOLOv8m-pose with ONNX weights to be compatible with URL.
## Usage (URL)
If you haven't already, you can install the URL JavaScript library from NPM using:
Example: Perform pose-estimation w/ 'Xenova/yolov8m-pose'.
<details>
<summary>See example output</summary>
</details> | [
"## Usage (URL)\n\nIf you haven't already, you can install the URL JavaScript library from NPM using:\n\n\nExample: Perform pose-estimation w/ 'Xenova/yolov8m-pose'.\n\n\n\n<details>\n\n<summary>See example output</summary>\n\n\n</details>"
] | [
"TAGS\n#transformers.js #onnx #yolov8 #pose-estimation #license-agpl-3.0 #region-us \n",
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30,
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"TAGS\n#transformers.js #onnx #yolov8 #pose-estimation #license-agpl-3.0 #region-us \n## Usage (URL)\n\nIf you haven't already, you can install the URL JavaScript library from NPM using:\n\n\nExample: Perform pose-estimation w/ 'Xenova/yolov8m-pose'.\n\n\n\n<details>\n\n<summary>See example output</summary>\n\n\n</... |
null | transformers.js |
YOLOv8l-pose with ONNX weights to be compatible with Transformers.js.
## Usage (Transformers.js)
If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@xenova/transformers) using:
```bash
npm i @xenova/tr... | {"license": "agpl-3.0", "library_name": "transformers.js", "tags": ["pose-estimation"]} | Xenova/yolov8l-pose | null | [
"transformers.js",
"onnx",
"yolov8",
"pose-estimation",
"license:agpl-3.0",
"region:us"
] | null | 2024-04-24T17:52:59+00:00 | [] | [] | TAGS
#transformers.js #onnx #yolov8 #pose-estimation #license-agpl-3.0 #region-us
|
YOLOv8l-pose with ONNX weights to be compatible with URL.
## Usage (URL)
If you haven't already, you can install the URL JavaScript library from NPM using:
Example: Perform pose-estimation w/ 'Xenova/yolov8l-pose'.
<details>
<summary>See example output</summary>
</details> | [
"## Usage (URL)\n\nIf you haven't already, you can install the URL JavaScript library from NPM using:\n\n\nExample: Perform pose-estimation w/ 'Xenova/yolov8l-pose'.\n\n\n\n<details>\n\n<summary>See example output</summary>\n\n\n</details>"
] | [
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"## Usage (URL)\n\nIf you haven't already, you can install the URL JavaScript library from NPM using:\n\n\nExample: Perform pose-estimation w/ 'Xenova/yolov8l-pose'.\n\n\n\n<details>\n\n<summary>See example output</summary>\n... | [
30,
66
] | [
"TAGS\n#transformers.js #onnx #yolov8 #pose-estimation #license-agpl-3.0 #region-us \n## Usage (URL)\n\nIf you haven't already, you can install the URL JavaScript library from NPM using:\n\n\nExample: Perform pose-estimation w/ 'Xenova/yolov8l-pose'.\n\n\n\n<details>\n\n<summary>See example output</summary>\n\n\n</... |
null | transformers.js |
YOLOv8x-pose with ONNX weights to be compatible with Transformers.js.
## Usage (Transformers.js)
If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@xenova/transformers) using:
```bash
npm i @xenova/tr... | {"license": "agpl-3.0", "library_name": "transformers.js", "tags": ["pose-estimation"]} | Xenova/yolov8x-pose | null | [
"transformers.js",
"onnx",
"yolov8",
"pose-estimation",
"license:agpl-3.0",
"region:us"
] | null | 2024-04-24T17:53:06+00:00 | [] | [] | TAGS
#transformers.js #onnx #yolov8 #pose-estimation #license-agpl-3.0 #region-us
|
YOLOv8x-pose with ONNX weights to be compatible with URL.
## Usage (URL)
If you haven't already, you can install the URL JavaScript library from NPM using:
Example: Perform pose-estimation w/ 'Xenova/yolov8x-pose'.
<details>
<summary>See example output</summary>
</details> | [
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null | transformers.js |
YOLOv8x-pose-p6 with ONNX weights to be compatible with Transformers.js.
## Usage (Transformers.js)
If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@xenova/transformers) using:
```bash
npm i @xenova... | {"license": "agpl-3.0", "library_name": "transformers.js", "tags": ["pose-estimation"]} | Xenova/yolov8x-pose-p6 | null | [
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#transformers.js #onnx #yolov8 #pose-estimation #license-agpl-3.0 #region-us
|
YOLOv8x-pose-p6 with ONNX weights to be compatible with URL.
## Usage (URL)
If you haven't already, you can install the URL JavaScript library from NPM using:
Example: Perform pose-estimation w/ 'Xenova/yolov8x-pose-p6'.
<details>
<summary>See example output</summary>
</details> | [
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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": ["llama-factory"]} | CarolLiu999/mistral-7b-instruct-v0.2-TWhealthCare | 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": []} | Weblet/phi-1.5-turbo1713980453944556_cognitivecomputations-Code-290k-ShareGPT-Vicuna_train1 | null | [
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|
# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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fill-mask | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Ornelas7/model-first-test | null | [
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|
# Model Card for Model ID
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-small_finetuned
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google-t5/t5-small", "model-index": [{"name": "t5-small_finetuned", "results": []}]} | HARDYCHEN/t5-small_finetuned | null | [
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| t5-small\_finetuned
===================
This model is a fine-tuned version of google-t5/t5-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3627
* Rouge1: 0.0803
* Rouge2: 0.0361
* Rougel: 0.0639
* Rougelsum: 0.0639
* 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: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* ... | [
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null | null |
Introducing the [BeaverAI](https://huggingface.co/BeaverAI) team: Drummer, ToastyPigeon, xzuyn, MarsupialAI, Twistedshadows, and concedo
We proudly present...
# Moistral 11B v3 💦💦💦
*The smartie... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences"]} | TheDrummer/Moistral-11B-v3-GGUF | null | [
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#gguf #not-for-all-audiences #license-cc-by-nc-4.0 #region-us
|
Introducing the BeaverAI team: Drummer, ToastyPigeon, xzuyn, MarsupialAI, Twistedshadows, and concedo
!image/png
We proudly present...
# Moistral 11B v3
*The smartiest, moistiest AI yet!*
!image/webp
*An eRP model that will blast you with a rich and refreshing vocabulary of moist. Finetuned by yours truly.*
(M... | [
"# Moistral 11B v3 \n\n*The smartiest, moistiest AI yet!*\n\n!image/webp\n\n*An eRP model that will blast you with a rich and refreshing vocabulary of moist. Finetuned by yours truly.*\n\n(Moistral is a finetune of Sao's legendary Fimbulvert v2 model)",
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ripaaiii/fine-tune-C1-revised-lr6-boxkecil20_kecil5 | 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 | # bsbl-tomorrow
Repository of Machine Learning models designed to predict how current MLB players will play tomorrow, next week, in a year, and 5 years into the future.
## Data Source
Data for this project is hosted in a [hugging face dataset repository](https://huggingface.co/datasets/Jensen-holm/statcast-era-pitche... | {} | Jensen-holm/bsbl-tomorrow | null | [
"region:us"
] | null | 2024-04-24T18:02:10+00:00 | [] | [] | TAGS
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| # bsbl-tomorrow
Repository of Machine Learning models designed to predict how current MLB players will play tomorrow, next week, in a year, and 5 years into the future.
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Data for this project is hosted in a hugging face dataset repository that contains a parquet file with every MLB pitch from the Statca... | [
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token-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": []} | Resi/layoutlmv3-multilabel-sagemaker | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | fapth/llama2-qlora-finetunined-german | null | [
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null | null | # final model as LoRA adapters
# unsloth llama3 trained on simple japanese data set "snow_simplified_japanese_corpus"
| {"license": "llama3"} | Sleik/JapanaseLlama3 | null | [
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#safetensors #license-llama3 #region-us
| # final model as LoRA adapters
# unsloth llama3 trained on simple japanese data set "snow_simplified_japanese_corpus"
!image/jpeg
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Alignment-Lab-AI/Neural-network-medium-5b-16k
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. I... | {"language": ["en"], "library_name": "transformers", "base_model": "Alignment-Lab-AI/Neural-network-medium-5b-16k", "quantized_by": "mradermacher"} | mradermacher/Neural-network-medium-5b-16k-GGUF | null | [
"transformers",
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"en",
"base_model:Alignment-Lab-AI/Neural-network-medium-5b-16k",
"endpoints_compatible",
"region:us"
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"en"
] | TAGS
#transformers #gguf #en #base_model-Alignment-Lab-AI/Neural-network-medium-5b-16k #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | peft |
# Base_model
beomi/Llama-3-Open-Ko-8B-preview을 기반으로 한국어 파인튜닝 하였습니다.
빠르게 좋은 모델을 업로드 해주신 beomi님께 감사드립니다.
# data_set
Ko_alpaca Custom dataset으로 학습 되었습니다. | {"language": ["ko"], "license": "apache-2.0", "library_name": "peft", "base_model": "beomi/Llama-3-Open-Ko-8B-preview", "pipeline_tag": "text-generation"} | GemmaLatte/llama3_ko_chavis_JH | null | [
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"ko",
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"license:apache-2.0",
"region:us"
] | null | 2024-04-24T18:08:32+00:00 | [] | [
"ko"
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#peft #pytorch #safetensors #llama #text-generation #conversational #ko #base_model-beomi/Llama-3-Open-Ko-8B-preview #license-apache-2.0 #region-us
|
# Base_model
beomi/Llama-3-Open-Ko-8B-preview을 기반으로 한국어 파인튜닝 하였습니다.
빠르게 좋은 모델을 업로드 해주신 beomi님께 감사드립니다.
# data_set
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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": []} | SamaahKhan/bert-before-fine-tuning | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T18:10:12+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# LLMLingua2_span_propaganda
This model is a fine-tuned version of [microsoft/llmlingua-2-xlm-roberta-large-meetingbank](https://h... | {"license": "mit", "tags": ["generated_from_trainer"], "model-index": [{"name": "LLMLingua2_span_propaganda", "results": []}]} | anismahmahi/LLMLingua2_span_propaganda | null | [
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"xlm-roberta",
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"generated_from_trainer",
"license:mit",
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"region:us"
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#transformers #pytorch #tensorboard #xlm-roberta #token-classification #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #region-us
|
# LLMLingua2_span_propaganda
This model is a fine-tuned version of microsoft/llmlingua-2-xlm-roberta-large-meetingbank on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.6333
- eval_precision: 0.0676
- eval_recall: 0.0812
- eval_f1: 0.0737
- eval_accuracy: 0.8583
- eval_r... | [
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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. -->
# 0.01_ablation_5iters_bs256_nodpo_iter_4
This model is a fine-tuned version of [ShenaoZ/0.01_ablation_5iters_bs256_nodpo_iter_3](... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.01_ablation_5iters_bs256_nodpo_iter_3", "model-index": [{"name": "0.01_ablation_5iters_bs256_nodpo_iter_4", "results": []}]} | ShenaoZ/0.01_ablation_5iters_bs256_nodpo_iter_4 | null | [
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"license:mit",
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"endpoi... | null | 2024-04-24T18:11:28+00:00 | [] | [] | TAGS
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|
# 0.01_ablation_5iters_bs256_nodpo_iter_4
This model is a fine-tuned version of ShenaoZ/0.01_ablation_5iters_bs256_nodpo_iter_3 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More inf... | [
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text-generation | transformers |
## 4-bit GEMM AWQ Quantizations of wavecoder-ultra-1.1-6.7b
Using <a href="https://github.com/casper-hansen/AutoAWQ/">AutoAWQ</a> release <a href="https://github.com/casper-hansen/AutoAWQ/releases/tag/v0.2.4">v0.2.4</a> for quantization.
Original model: https://huggingface.co/microsoft/wavecoder-ultra-6.7b
Note: T... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["code"], "datasets": ["humaneval"], "metrics": ["code_eval"], "license_link": "https://huggingface.co/microsoft/wavecoder-ultra-6.7b/blob/main/LICENSE", "pipeline_tag": "text-generation", "quantized_by": "bartowski"} | bartowski/wavecoder-ultra-1.1-6.7b-AWQ | null | [
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#transformers #safetensors #llama #text-generation #code #en #dataset-humaneval #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
## 4-bit GEMM AWQ Quantizations of wavecoder-ultra-1.1-6.7b
Using <a href="URL release <a href="URL for quantization.
Original model: URL
Note: They updated the model in place, no idea if there's actually any changes, but tagging this 1.1 just in case
## Prompt format
No chat template specified so default is use... | [
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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": []} | Duakovui/viT5_instruct_VLSP2018_ACE | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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null | transformers |
# Uploaded model
- **Developed by:** FeinFein
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | FeinFein/llama3_worker | null | [
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# Uploaded model
- Developed by: FeinFein
- License: apache-2.0
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<img src="URL width="200"/>
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null | transformers |
# Uploaded model
- **Developed by:** FeinFein
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | FeinFein/llama3_mother | null | [
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|
# Uploaded model
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- License: apache-2.0
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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. -->
# phi-3-finetuned-med-text
This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microso... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/Phi-3-mini-4k-instruct", "model-index": [{"name": "phi-3-finetuned-med-text", "results": []}]} | chohi/phi-3-finetuned-med-text | null | [
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"safetensors",
"phi3",
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"custom_code",
"base_model:microsoft/Phi-3-mini-4k-instruct",
"license:mit",
"region:us"
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#peft #tensorboard #safetensors #phi3 #generated_from_trainer #custom_code #base_model-microsoft/Phi-3-mini-4k-instruct #license-mit #region-us
|
# phi-3-finetuned-med-text
This model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trainin... | [
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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. -->
# results
This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0", "model-index": [{"name": "results", "results": []}]} | zrowt/results | null | [
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|
# results
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 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 hyperparame... | [
"# results\n\nThis model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on an unknown dataset.",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/c-s-ale/NousWizard
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a wee... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "c-s-ale/NousWizard", "quantized_by": "mradermacher"} | mradermacher/NousWizard-GGUF | null | [
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"mergekit",
"merge",
"en",
"base_model:c-s-ale/NousWizard",
"endpoints_compatible",
"region:us"
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"en"
] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-c-s-ale/NousWizard #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | rubbrband/retrocolormix_v10 | null | [
"diffusers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
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"1910.09700"
] | [] | TAGS
#diffusers #safetensors #arxiv-1910.09700 #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | sin2piusc/whisper-medium-5k-model | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T18:27:15+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# RM-HH-AllMix_helpful_gpt3_loraR64_20000_gpt2-large_shuffleTrue_extractchosenFalse
This model is a fine-tuned version of [openai-... | {"license": "mit", "library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "openai-community/gpt2-large", "model-index": [{"name": "RM-HH-AllMix_helpful_gpt3_loraR64_20000_gpt2-large_shuffleTrue_extractchosenFalse", "results": []}]} | Holarissun/RM-HH-AllMix_helpful_gpt3_loraR64_20000_gpt2-large_shuffleTrue_extractchosenFalse | null | [
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"generated_from_trainer",
"base_model:openai-community/gpt2-large",
"license:mit",
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| RM-HH-AllMix\_helpful\_gpt3\_loraR64\_20000\_gpt2-large\_shuffleTrue\_extractchosenFalse
========================================================================================
This model is a fine-tuned version of openai-community/gpt2-large on the None dataset.
It achieves the following results on the evaluation s... | [
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null | transformers |
## Installation from source
```bash
git clone https://github.com/foundation-model-stack/fms-extras
cd fms-extras
pip install -e .
```
## Description
This model is intended to be used as an accelerator for [granite 7B (instruct lab)](https://huggingface.co/instructlab/granite-7b-lab) and takes inspiration
from the... | {"license": "llama2"} | ibm-fms/granite-7b-lab-accelerator | null | [
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"mlp_speculator",
"license:llama2",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T18:27:32+00:00 | [] | [] | TAGS
#transformers #safetensors #mlp_speculator #license-llama2 #endpoints_compatible #region-us
|
## Installation from source
## Description
This model is intended to be used as an accelerator for granite 7B (instruct lab) and takes inspiration
from the Medusa speculative decoding architecture. This accelerator modifies the MLP into a multi-stage MLP, where each stage predicts
a single token in the draft ba... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/arlineka/Ionic-4x8
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Ionic-4x8-GGUF
## Usag... | {"language": ["en"], "library_name": "transformers", "base_model": "arlineka/Ionic-4x8", "quantized_by": "mradermacher"} | mradermacher/Ionic-4x8-i1-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:arlineka/Ionic-4x8",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T18:28:01+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-arlineka/Ionic-4x8 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static 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": []} | sin2piusc/whisper-medium-5k-tokenizer | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T18:28:15+00:00 | [
"1910.09700"
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#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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- License... | [
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text-generation | transformers | # [MaziyarPanahi/guillaumetell-7b-GGUF](https://huggingface.co/MaziyarPanahi/guillaumetell-7b-GGUF)
- Model creator: [AgentPublic](https://huggingface.co/AgentPublic)
- Original model: [AgentPublic/guillaumetell-7b](https://huggingface.co/AgentPublic/guillaumetell-7b)
## Description
[MaziyarPanahi/guillaumetell-7b-GGU... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "conversational", "fr", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "has_space", "text-generation-inference", "region:us", "text-generation"], "mode... | MaziyarPanahi/guillaumetell-7b-GGUF | null | [
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| # MaziyarPanahi/guillaumetell-7b-GGUF
- Model creator: AgentPublic
- Original model: AgentPublic/guillaumetell-7b
## Description
MaziyarPanahi/guillaumetell-7b-GGUF contains GGUF format model files for AgentPublic/guillaumetell-7b.
### About GGUF
GGUF is a new format introduced by the URL team on August 21st 2023. I... | [
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text-generation | transformers | ## LLama3-8B-Instruct for Japanese
```python
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
model_id = "hoang1123/llama3-8b-instruct-ja"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
model_id,
torch_dtype=torch.bfloat16,
devic... | {} | hoang1123/llama3-8b-instruct-ja | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-24T18:30:31+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| ## LLama3-8B-Instruct for Japanese
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-base-pos2neg
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achiev... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-base", "model-index": [{"name": "t5-base-pos2neg", "results": []}]} | Pushparaj2811/t5-base-pos2neg | null | [
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| t5-base-pos2neg
===============
This model is a fine-tuned version of t5-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1630
* Rouge1: 66.0728
* Rouge2: 48.2651
* Rougel: 65.0881
* Rougelsum: 64.9953
* Gen Len: 14.0178
Model description
-----------------
More info... | [
"### 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: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5\n* mixed\\_prec... | [
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text-generation | transformers |
- Original model is [beomi/Llama-3-Open-Ko-8B-Instruct-preview](https://huggingface.co/beomi/Llama-3-Open-Ko-8B-Instruct-preview)
- quantized using [llama.cpp](https://github.com/ggerganov/llama.cpp)
## Template
LM Studio
```
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- Original model is beomi/Llama-3-Open-Ko-8B-Instruct-preview
- quantized using URL
## Template
LM Studio
Stop Token
## Llama-3-Open-Ko-8B-Instruct-preview
> Update @ 2024.04.24: Release Llama-3-Open-Ko-8B model & Llama-3-Open-Ko-8B-Instruct-preview
## Model Details
Llama-3-Open-Ko-8B-Instruct-preview
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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": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_Human_tiny_Seed104 | null | [
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# Model Card for Model ID
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
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image-to-text | transformers |
[Evaluation on chexpert-plus](https://github.com/Stanford-AIMI/chexpert-plus) | {"language": "en", "license": "mit", "library_name": "transformers", "tags": ["image-to-text"], "widget": [{"src": "https://huggingface.co/IAMJB/interpret-cxr-impression-baseline/resolve/main/effusions-bibasal.jpg"}, {"src": "https://huggingface.co/IAMJB/interpret-cxr-impression-baseline/resolve/main/Chest-X-ray-taken-... | IAMJB/mimic-cxr-impression-baseline | null | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# speaker-segmentation-fine-tuned-callhome-eng
This model is a fine-tuned version of [pyannote/segmentation-3.0](https://huggingfa... | {"language": ["eng"], "license": "mit", "tags": ["speaker-diarization", "speaker-segmentation", "generated_from_trainer"], "datasets": ["diarizers-community/callhome"], "base_model": "pyannote/segmentation-3.0", "model-index": [{"name": "speaker-segmentation-fine-tuned-callhome-eng", "results": []}]} | anuragrawal/speaker-segmentation-fine-tuned-callhome-jpn | null | [
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| speaker-segmentation-fine-tuned-callhome-eng
============================================
This model is a fine-tuned version of pyannote/segmentation-3.0 on the diarizers-community/callhome dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4597
* Der: 0.1816
* False Alarm: 0.0595
* Missed ... | [
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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": []} | AlinaMustaqeem/mistral_7b-instruct-guanaco | null | [
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text-generation | transformers |
## 4-bit GEMM AWQ Quantizations of Meta-Llama-3-8B-Instruct
Using <a href="https://github.com/casper-hansen/AutoAWQ/">AutoAWQ</a> release <a href="https://github.com/casper-hansen/AutoAWQ/releases/tag/v0.2.4">v0.2.4</a> for quantization.
Original model: https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct
##... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | bartowski/Meta-Llama-3-8B-Instruct-AWQ | null | [
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## 4-bit GEMM AWQ Quantizations of Meta-Llama-3-8B-Instruct
Using <a href="URL release <a href="URL for quantization.
Original model: URL
## Prompt format
## AWQ Parameters
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null | transformers |
# Uploaded model
- **Developed by:** Mollel
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "gguf"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | Mollel/Swahili_Gemma_q4_k_m | null | [
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# Uploaded model
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- License: apache-2.0
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<img src="URL width="200"/>
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### 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": []} | happylayers/sc12 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
- Model type:
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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_ablation_4iters_bs256_sample2_iter_4
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_4iters_bs256_sample2_it... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_4iters_bs256_sample2_iter_3", "model-index": [{"name": "0.001_ablation_4iters_bs256_sample2_iter_4", "results": []}]} | ShenaoZ/0.001_ablation_4iters_bs256_sample2_iter_4 | null | [
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# 0.001_ablation_4iters_bs256_sample2_iter_4
This model is a fine-tuned version of ShenaoZ/0.001_ablation_4iters_bs256_sample2_iter_3 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
Mo... | [
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text-generation | transformers | # Llama-3-Ko-8B-Ties
This is the series of 'Base + Language + Instruct', chat vector and various methods in mergekit.
Thanks again! @beomi
For more details about what is this model and why I'm doing this, check out this model's info [Instruct-vector-diff](https://huggingface.co/kuotient/Llama-3-8B-Instruct-vector-diff... | {"language": ["ko"], "license": "other", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["meta-llama/Meta-Llama-3-8B", "beomi/Llama-3-Open-Ko-8B", "meta-llama/Meta-Llama-3-8B-Instruct"], "license_name": "llama3"} | kuotient/Llama-3-Ko-8B-ties | null | [
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==================
This is the series of 'Base + Language + Instruct', chat vector and various methods in mergekit.
Thanks again! @beomi
For more details about what is this model and why I'm doing this, check out this model's info Instruct-vector-diff
Model: beomi/Llama-3-Open-Ko-8B-Instruct-pr... | [
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audio-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ast-finetuned-audioset-16-16-0.442-finetuned-gtzan
This model is a fine-tuned version of [ast-finetuned-audioset-16-16-0.442](ht... | {"tags": ["generated_from_trainer"], "datasets": ["marsyas/gtzan"], "metrics": ["accuracy"], "base_model": "MIT/ast-finetuned-audioset-16-16-0.442", "model-index": [{"name": "ast-finetuned-audioset-16-16-0.442-finetuned-gtzan", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "data... | Ostixe360/ast-finetuned-audioset-16-16-0.442-finetuned-gtzan | null | [
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| ast-finetuned-audioset-16-16-0.442-finetuned-gtzan
==================================================
This model is a fine-tuned version of ast-finetuned-audioset-16-16-0.442 on the GTZAN dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3315
* Accuracy: 0.93
Model description
----------... | [
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question-answering | transformers |
# Model Card for Model ID
This model is a fine-tuned version of Llama-3-8B-Instruct on the BatchPrompting dataset, which spans 13 diverse NLP tasks. The model has been fine-tuned to effectively perform batch prompting - answering multiple questions concatenated into a single prompt in one inference pass.
## Model De... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["batch prompting", "batch", "BatchPrompt", "BatchPrompting", "GLUE", "Llama", "fine-tuned", "Llama3", "Llama-3-8B-Instruct"], "datasets": ["achandlr/BatchPrompting"], "metrics": ["accuracy"], "pipeline_tag": "question-answering"} | achandlr/Llama-3-8B-Instruct-BatchPromptQA | null | [
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|
# Model Card for Model ID
This model is a fine-tuned version of Llama-3-8B-Instruct on the BatchPrompting dataset, which spans 13 diverse NLP tasks. The model has been fine-tuned to effectively perform batch prompting - answering multiple questions concatenated into a single prompt in one inference pass.
## Model De... | [
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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": []} | SamaahKhan/flan-before-fine-tuning | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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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. -->
# mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_Lora_lr2e-6_1ep
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_Lora_lr2e-6_1ep", "results": []}]} | mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_Lora_lr2e-6_1ep | null | [
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# mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_Lora_lr2e-6_1ep
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.
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- eval_loss: 3.4651
- eval_runtime: 2.8947
- eval_samples_per_second: 69.092
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null | transformers |
# Uploaded model
- **Developed by:** FeinFein
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | FeinFein/llama3_police | null | [
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|
# Uploaded model
- Developed by: FeinFein
- License: apache-2.0
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<img src="URL width="200"/>
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/TroyDoesAI/Mermaid-Llama-3-4B-Pruned
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do... | {"language": ["en"], "license": "cc-by-4.0", "library_name": "transformers", "base_model": "TroyDoesAI/Mermaid-Llama-3-4B-Pruned", "quantized_by": "mradermacher"} | mradermacher/Mermaid-Llama-3-4B-Pruned-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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] |
graph-ml | null | # PreMode
This is the repository for our manuscript "PreMode predicts mode-of-action of missense variants by deep graph representation learning of protein sequence and structural context" posted on bioRxiv: https://www.biorxiv.org/content/10.1101/2024.02.20.581321v3
# Data
Unzip the files with this script:
```
bash u... | {"language": ["en"], "tags": ["biology"], "pipeline_tag": "graph-ml"} | gzhong/PreMode | null | [
"biology",
"graph-ml",
"en",
"region:us"
] | null | 2024-04-24T18:43:56+00:00 | [] | [
"en"
] | TAGS
#biology #graph-ml #en #region-us
| PreMode
=======
This is the repository for our manuscript "PreMode predicts mode-of-action of missense variants by deep graph representation learning of protein sequence and structural context" posted on bioRxiv: URL
Data
====
Unzip the files with this script:
Unfortunately we are not allowed to share the HGMD ... | [] | [
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] | [
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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": []} | boringblobking/medmcqa1 | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-24T18:46:24+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | null |
GGUF-IQ-Imatrix quants for [jeiku/Average_Normie_l3_v1_8B](https://huggingface.co/jeiku/Average_Normie_l3_v1_8B).
> [!WARNING]
> Compatible SillyTavern presets [here (simple)](https://huggingface.co/Lewdiculous/Model-Requests/tree/main/data/presets/cope-llama-3-0.1) or [here (Virt's)](https://huggingface.co/Virt-io/S... | {"language": ["en"], "tags": ["roleplay", "llama3", "sillytavern"]} | Lewdiculous/Average_Normie_l3_v1_8B-GGUF-IQ-Imatrix | null | [
"gguf",
"roleplay",
"llama3",
"sillytavern",
"en",
"region:us"
] | null | 2024-04-24T18:46:33+00:00 | [] | [
"en"
] | TAGS
#gguf #roleplay #llama3 #sillytavern #en #region-us
|
GGUF-IQ-Imatrix quants for jeiku/Average_Normie_l3_v1_8B.
> [!WARNING]
> Compatible SillyTavern presets here (simple) or here (Virt's). <br>
> Use the latest version of KoboldCpp. Use the provided presets. <br>
> This is all still highly experimental, let the authors know how it performs for you, feedback is more imp... | [
"# Average Normie v1\n\n!image/png\n\nA model by an average normie for the average normie. \n\nThis model is a stock merge of the following models:\n\nURL\n\nURL\n\nURL\n\nThe final merge then had the following LoRA applied over it:\n\nURL\n\nThis should be an intelligent and adept roleplaying model."
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_opus_books_model
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown data... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "t5-small", "model-index": [{"name": "my_awesome_opus_books_model", "results": []}]} | liamvbetts/my_awesome_opus_books_model | null | [
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"safetensors",
"t5",
"text2text-generation",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-24T18:47:13+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-t5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| my\_awesome\_opus\_books\_model
===============================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1804
* Bleu: 0.225
* Gen Len: 18.1268
Model description
-----------------
More information needed
Intended us... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2\n* mixed\\_prec... | [
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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. -->
# mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_Lora_lr2e-6_2ep
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_Lora_lr2e-6_2ep", "results": []}]} | mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_Lora_lr2e-6_2ep | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:other",
"region:us"
] | null | 2024-04-24T18:47:29+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-other #region-us
|
# mohsenfayyaz/Meta-Llama-3-8B-Instruct_esnli_5000_Lora_lr2e-6_2ep
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 3.2777
- eval_runtime: 2.8582
- eval_samples_per_second: 69.975
- eval_steps_per_s... | [
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image-to-text | transformers | [Evaluation on chexpert-plus](https://github.com/Stanford-AIMI/chexpert-plus)
| {"language": "en", "license": "mit", "library_name": "transformers", "tags": ["image-to-text"], "widget": [{"src": "https://huggingface.co/IAMJB/interpret-cxr-impression-baseline/resolve/main/effusions-bibasal.jpg"}, {"src": "https://huggingface.co/IAMJB/interpret-cxr-impression-baseline/resolve/main/Chest-X-ray-taken-... | IAMJB/mimic-cxr-findings-baseline | null | [
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"en"
] | TAGS
#transformers #safetensors #vision-encoder-decoder #image-to-text #en #license-mit #endpoints_compatible #region-us
| Evaluation on chexpert-plus
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | yosthin06/ppo-LunarLander-v2-yosthin | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-24T18:48:11+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
null | transformers |
<!-- 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. -->
# llava_clip_llama3_8b_finetune_8192
This model is a fine-tuned version of [MFuyu/llava_clip_llama3_8b_pretrain_8192](https://hugg... | {"tags": ["generated_from_trainer"], "base_model": "MFuyu/llava_clip_llama3_8b_pretrain_8192", "model-index": [{"name": "llava_clip_llama3_8b_finetune_8192", "results": []}]} | MFuyu/llava_clip_llama3_8b_finetune_8192 | null | [
"transformers",
"safetensors",
"llava",
"pretraining",
"generated_from_trainer",
"base_model:MFuyu/llava_clip_llama3_8b_pretrain_8192",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T18:49:12+00:00 | [] | [] | TAGS
#transformers #safetensors #llava #pretraining #generated_from_trainer #base_model-MFuyu/llava_clip_llama3_8b_pretrain_8192 #endpoints_compatible #region-us
|
# llava_clip_llama3_8b_finetune_8192
This model is a fine-tuned version of MFuyu/llava_clip_llama3_8b_pretrain_8192 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pr... | [
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"## Intended uses & limitations\n\nMore information needed",
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_ablation_4iters_bs256_nodpo_sample2_iter_3
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_4iters_bs256_nodp... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_4iters_bs256_nodpo_sample2_iter_2", "model-index": [{"name": "0.001_ablation_4iters_bs256_nodpo_sample2_iter_3", "results": []}]... | ShenaoZ/0.001_ablation_4iters_bs256_nodpo_sample2_iter_3 | null | [
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"license:mit",
"autotrain_compatible",
... | null | 2024-04-24T18:50:04+00:00 | [] | [] | TAGS
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# 0.001_ablation_4iters_bs256_nodpo_sample2_iter_3
This model is a fine-tuned version of ShenaoZ/0.001_ablation_4iters_bs256_nodpo_sample2_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluat... | [
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null | transformers |
# Uploaded model
- **Developed by:** alberthtan
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | alberthtan/lora_model_1065_samples | null | [
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"base_model:unsloth/llama-3-8b-bnb-4bit",
"license:apache-2.0",
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] | null | 2024-04-24T18:52:48+00:00 | [] | [
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|
# Uploaded model
- Developed by: alberthtan
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
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] | [
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"# Uploaded model\n\n- Developed by: alberthtan\n- License: apache-2.0\n- Finetuned from model : unsloth/llama-3-8b-bnb-4bit\n\nT... | [
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