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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# flan-t5-large
This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on an un... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/flan-t5-large", "model-index": [{"name": "flan-t5-large", "results": []}]} | alexyhc/flan-t5-large-full | null | [
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#tensorboard #safetensors #generated_from_trainer #base_model-google/flan-t5-large #license-apache-2.0 #region-us
| flan-t5-large
=============
This model is a fine-tuned version of google/flan-t5-large on an unknown dataset.
It achieves the following results on the evaluation set:
* Gen Len: 100.0179
* Loss: 1.7264
* Rouge1: 45.7249
* Rouge2: 19.5118
* Rougel: 33.0194
* Rougelsum: 42.7326
Model description
-----------------
... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers | # d2up
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 passthrough merge method.
### Models Merged
The following models were included in the merge:
* [h2oai/h2o-danube2-1.8b-base](https://h... | {"tags": ["mergekit", "merge"], "base_model": ["h2oai/h2o-danube2-1.8b-base"]} | Lambent/danube2-upscale-1 | null | [
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| # d2up
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the passthrough merge method.
### Models Merged
The following models were included in the merge:
* h2oai/h2o-danube2-1.8b-base
### Configuration
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text2text-generation | transformers | The original model doesn't have tokenizer.json. I added one from a standard google t5 xl model but it doesn't work properly. If you know how to made a proper tokenizer.json, please, create a topic in Discussions. | {"language": ["sq"]} | NikolayKozloff/sqt5-xl-Albanian-shqip-GGUF | null | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_optm_idpo_declr_4iters_iter_1
This model is a fine-tuned version of [ZhangShenao/0.001_idpo_declr_4iters_iter_1](https://h... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ZhangShenao/0.001_idpo_declr_4iters_iter_1", "model-index": [{"name": "0.001_optm_idpo_declr_4iters_iter_1", "results": []}]} | ZhangShenao/0.001_optm_idpo_declr_4iters_iter_1 | null | [
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|
# 0.001_optm_idpo_declr_4iters_iter_1
This model is a fine-tuned version of ZhangShenao/0.001_idpo_declr_4iters_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
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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": ["trl", "sft"]} | anony975/mistral_fine_tuned | null | [
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# Model Card for Model ID
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mask-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": []} | diliash/sam-2024-04-07-19-09-10 | null | [
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null | null | ---
license: apache-2.0
---Parasotic : Viên thuốc-Giá bán-đánh giá-Lợi ích- Giá cả- nguyên bản-Phản ứng phụ-Nơi để mua- thành phần
Giới thiệu:
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Giới thiệu:
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null | null | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Mistral-7B-v0.1-channel-mix-bpw-2.5 | null | [
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#license-apache-2.0 #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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text-generation | transformers |
## 🧩 Configuration
```yaml
slices:
- sources:
- model: liminerity/M7-7b
layer_range: [0, 32]
- model: AurelPx/Percival_01-7b-slerp
layer_range: [0, 32]
merge_method: slerp
base_model: liminerity/M7-7b
parameters:
t:
- filter: self_attn
value: [0.7503262200779672, 0.5130700949... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["liminerity/M7-7b", "AurelPx/Percival_01-7b-slerp"]} | aaron-di/Yamshadowexperiment28M70.75-0.51-0.28-0.07-0.53-0.86-7B | null | [
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## Configuration
## Usage
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Llama-2-7B-channel-mix-bpw-2.5 | null | [
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#transformers #safetensors #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
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Please refer to our Github page for the code to run the model and more information.
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-squad
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-squad", "results": []}]} | Hyounguk/distilbert-base-uncased-finetuned-squad | null | [
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"distilbert",
"question-answering",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T19:28:29+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #question-answering #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us
| distilbert-base-uncased-finetuned-squad
=======================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1600
Model description
-----------------
More information needed
Intended uses... | [
"### 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: 3",
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
| {"license": "apache-2.0"} | GreenBitAI/Llama-2-13B-channel-mix-bpw-2.5 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-07T19:29:37+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
| [
"# GreenBit LLMs\n\nThis is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.\n\nPlease refer to our Github page for the code to run the model and more information."
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
shallow level trained on Jack O'Neill request response
## 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 th... | {"library_name": "transformers", "tags": []} | nachtwindecho/mistralai-Code-Instruct-Finetune-SG1-V2 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-07T19:29:48+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
shallow level trained on Jack O'Neill request response
## 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 [opti... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whisper-large-v3-finetuned-7
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisp... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-large-v3", "model-index": [{"name": "whisper-large-v3-finetuned-7", "results": []}]} | tkwon4/whisper-large-v3-finetuned-7 | null | [
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"safetensors",
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"automatic-speech-recognition",
"generated_from_trainer",
"base_model:openai/whisper-large-v3",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T19:30:52+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #base_model-openai/whisper-large-v3 #license-apache-2.0 #endpoints_compatible #region-us
| whisper-large-v3-finetuned-7
============================
This model is a fine-tuned version of openai/whisper-large-v3 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2896
* Wer: 19.3061
Model description
-----------------
More information needed
Intended uses & limi... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-09\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
"### Trainin... | [
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text-generation | adapter-transformers |
# OpenAssistant QLoRA Adapter for Llama-2 7B
QLoRA adapter for the Llama-2 7B (`meta-llama/Llama-2-7b-hf`) model trained for instruction tuning on the [timdettmers/openassistant-guanaco](https://huggingface.co/datasets/timdettmers/openassistant-guanaco/) dataset.
**This adapter was created for usage with the [Adapte... | {"license": "apache-2.0", "tags": ["llama", "adapter-transformers", "llama-2"], "datasets": ["timdettmers/openassistant-guanaco"], "pipeline_tag": "text-generation"} | AdapterHub/llama2-7b-qlora-openassistant | null | [
"adapter-transformers",
"llama",
"llama-2",
"text-generation",
"dataset:timdettmers/openassistant-guanaco",
"arxiv:2305.14314",
"license:apache-2.0",
"region:us"
] | null | 2024-04-07T19:36:04+00:00 | [
"2305.14314"
] | [] | TAGS
#adapter-transformers #llama #llama-2 #text-generation #dataset-timdettmers/openassistant-guanaco #arxiv-2305.14314 #license-apache-2.0 #region-us
|
# OpenAssistant QLoRA Adapter for Llama-2 7B
QLoRA adapter for the Llama-2 7B ('meta-llama/Llama-2-7b-hf') model trained for instruction tuning on the timdettmers/openassistant-guanaco dataset.
This adapter was created for usage with the Adapters library.
## Usage
First, install 'adapters':
Now, the model and a... | [
"# OpenAssistant QLoRA Adapter for Llama-2 7B\n\nQLoRA adapter for the Llama-2 7B ('meta-llama/Llama-2-7b-hf') model trained for instruction tuning on the timdettmers/openassistant-guanaco dataset.\n\nThis adapter was created for usage with the Adapters library.",
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mask-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": []} | diliash/sam-2024-04-07-19-23-24 | null | [
"transformers",
"safetensors",
"sam",
"mask-generation",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T19:36:15+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #sam #mask-generation #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
## 🧩 Configuration
```yaml
slices:
- sources:
- model: liminerity/M7-7b
layer_range: [0, 32]
- model: AurelPx/Percival_01-7b-slerp
layer_range: [0, 32]
merge_method: slerp
base_model: liminerity/M7-7b
parameters:
t:
- filter: self_attn
value: [0.4045760650767545, 0.7712356944... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["liminerity/M7-7b", "AurelPx/Percival_01-7b-slerp"]} | aaron-di/Yamshadowexperiment28M70.4-0.77-0.72-0.81-0.22-0.97-7B | null | [
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"safetensors",
"mistral",
"text-generation",
"merge",
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"automerger",
"base_model:liminerity/M7-7b",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"re... | null | 2024-04-07T19:39:21+00:00 | [] | [] | TAGS
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|
## Configuration
## Usage
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] |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | k4bis/LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-07T19:43:28+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 | null | # GNorm2
***
GNorm2 is a gene name recognition and normalization tool with optimized functions and customizable configuration to the user preferences. The GNorm2 integrates multiple deep learning-based methods and achieves state-of-the-art performance. GNorm2 is freely available to download for stand-alone usage. [Down... | {} | steventango/GNorm2-docker | null | [
"region:us"
] | null | 2024-04-07T19:47:38+00:00 | [] | [] | TAGS
#region-us
| # GNorm2
*
GNorm2 is a gene name recognition and normalization tool with optimized functions and customizable configuration to the user preferences. The GNorm2 integrates multiple deep learning-based methods and achieves state-of-the-art performance. GNorm2 is freely available to download for stand-alone usage. Downloa... | [
"# GNorm2\n*\nGNorm2 is a gene name recognition and normalization tool with optimized functions and customizable configuration to the user preferences. The GNorm2 integrates multiple deep learning-based methods and achieves state-of-the-art performance. GNorm2 is freely available to download for stand-alone usage. ... | [
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null | null |
# berke-tr-slerp-merge-7B
berke-tr-slerp-merge-7B is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [TURKCELL/Turkcell-LLM-7b-v1](https://huggingface.co/TURKCELL/Turkcell-LLM-7b-v1)
* [Trendyol/Trendyol-LLM-7b-chat-dpo-v1.0](https://huggingface.co/Trendyol/Trendyol-LLM-7b-chat-... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "TURKCELL/Turkcell-LLM-7b-v1", "Trendyol/Trendyol-LLM-7b-chat-dpo-v1.0"]} | berkecr/berke-tr-slerp-merge-7B | null | [
"merge",
"mergekit",
"lazymergekit",
"TURKCELL/Turkcell-LLM-7b-v1",
"Trendyol/Trendyol-LLM-7b-chat-dpo-v1.0",
"license:apache-2.0",
"region:us"
] | null | 2024-04-07T19:49:09+00:00 | [] | [] | TAGS
#merge #mergekit #lazymergekit #TURKCELL/Turkcell-LLM-7b-v1 #Trendyol/Trendyol-LLM-7b-chat-dpo-v1.0 #license-apache-2.0 #region-us
|
# berke-tr-slerp-merge-7B
berke-tr-slerp-merge-7B is a merge of the following models using mergekit:
* TURKCELL/Turkcell-LLM-7b-v1
* Trendyol/Trendyol-LLM-7b-chat-dpo-v1.0
## Configs
\ | [
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mask-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": []} | diliash/sam-2024-04-07-19-36-43 | null | [
"transformers",
"safetensors",
"sam",
"mask-generation",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T19:49:33+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #sam #mask-generation #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | shionhonda/tiny-llama-reviewer2-1.1B-dpo-lora | null | [
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"safetensors",
"arxiv:1910.09700",
"base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0",
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#peft #safetensors #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #has_space #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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null | 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. -->
# trainslation-flan-t5-model
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-bas... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "google/flan-t5-base", "model-index": [{"name": "trainslation-flan-t5-model", "results": []}]} | AlyGreo/trainslation-flan-t5-model | null | [
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"generated_from_trainer",
"base_model:google/flan-t5-base",
"license:apache-2.0",
"region:us"
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|
# trainslation-flan-t5-model
This model is a fine-tuned version of google/flan-t5-base on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperpara... | [
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text-generation | transformers |
## 🧩 Configuration
```yaml
slices:
- sources:
- model: liminerity/M7-7b
layer_range: [0, 32]
- model: AurelPx/Percival_01-7b-slerp
layer_range: [0, 32]
merge_method: slerp
base_model: liminerity/M7-7b
parameters:
t:
- filter: self_attn
value: [0.1699268559764644, 0.2678408488... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["liminerity/M7-7b", "AurelPx/Percival_01-7b-slerp"]} | aaron-di/Yamshadowexperiment28M70.17-0.27-0.09-0.5-0.69-0.58-7B | null | [
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"license:apache-2.0",
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"text-generation-inference",
"re... | null | 2024-04-07T19:50:17+00:00 | [] | [] | TAGS
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|
## Configuration
## Usage
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] |
text-generation | 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. -->
# codegen
This model is a fine-tuned version of [Salesforce/codegen-350M-mono](https://huggingface.co/Salesforce/codegen-350M-mono... | {"license": "bsd-3-clause", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "metrics": ["rougeL - 0.41"], "base_model": "Salesforce/codegen-350M-mono", "pipeline_tag": "text-generation", "model-index": [{"name": "codegen", "results": []}]} | SSahas/codegen_python | null | [
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"sft",
"generated_from_trainer",
"text-generation",
"base_model:Salesforce/codegen-350M-mono",
"license:bsd-3-clause",
"region:us"
] | null | 2024-04-07T19:51:35+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #text-generation #base_model-Salesforce/codegen-350M-mono #license-bsd-3-clause #region-us
|
# codegen
This model is a fine-tuned version of Salesforce/codegen-350M-mono on the python dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/allknowingroger/Mistraldouble-7B-task
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they d... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "MaziyarPanahi/Mistral-7B-Instruct-KhanAcademy-v0.2", "cognitivecomputations/dolphin-2.8-mistral-7b-v02"], "base_model": "allknowingroger/Mistraldouble-7B-task", "quantized_by": "mradermacher"} | mradermacher/Mistraldouble-7B-task-GGUF | null | [
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"en"
] | TAGS
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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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] |
feature-extraction | sentence-transformers |
# uae-large-v1-gguf
Model creator: [WhereIsAI](https://huggingface.co/WhereIsAI)
Original model: [UAE-Large-V1](https://huggingface.co/WhereIsAI/UAE-Large-V1)
## Description
This repo contains GGUF format files for the UAE-Large-V1 embedding model.
These files were converted and quantized with llama.cpp [PR 5500]... | {"language": ["en"], "license": "mit", "library_name": "sentence-transformers", "tags": ["mteb", "sentence_embedding", "feature_extraction", "sentence-transformers", "transformers", "transformers.js", "gguf"], "model_name": "UAE-Large-V1", "base_model": "WhereIsAI/UAE-Large-V1", "inference": false, "model_creator": "Wh... | ChristianAzinn/uae-large-v1-gguf | null | [
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"gguf",
"mteb",
"sentence_embedding",
"feature_extraction",
"transformers",
"transformers.js",
"feature-extraction",
"en",
"base_model:WhereIsAI/UAE-Large-V1",
"license:mit",
"region:us"
] | null | 2024-04-07T19:55:06+00:00 | [] | [
"en"
] | TAGS
#sentence-transformers #gguf #mteb #sentence_embedding #feature_extraction #transformers #transformers.js #feature-extraction #en #base_model-WhereIsAI/UAE-Large-V1 #license-mit #region-us
| uae-large-v1-gguf
=================
Model creator: WhereIsAI
Original model: UAE-Large-V1
Description
-----------
This repo contains GGUF format files for the UAE-Large-V1 embedding model.
These files were converted and quantized with URL PR 5500, commit 34aa045de, on a consumer RTX 4090.
This model support... | [] | [
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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. -->
# trainer_4f
This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the No... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-cased", "model-index": [{"name": "trainer_4f", "results": []}]} | SimoneJLaudani/trainer_4f | null | [
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"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert-base-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T19:56:13+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# trainer_4f
This model is a fine-tuned version of distilbert-base-cased on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The fo... | [
"# trainer_4f\n\nThis model is a fine-tuned version of distilbert-base-cased on the None dataset.",
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"## Training and evaluation data\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_optm_idpo_declr_iter_1
This model is a fine-tuned version of [ZhangShenao/0.001_idpo_declr_iter_1](https://huggingface.co/... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ZhangShenao/0.001_idpo_declr_iter_1", "model-index": [{"name": "0.001_optm_idpo_declr_iter_1", "results": []}]} | ZhangShenao/0.001_optm_idpo_declr_iter_1 | null | [
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"endpoints_compatib... | null | 2024-04-07T19:58:16+00:00 | [] | [] | TAGS
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|
# 0.001_optm_idpo_declr_iter_1
This model is a fine-tuned version of ZhangShenao/0.001_idpo_declr_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Tra... | [
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"## Intended uses & limitations\n\nMore information needed",
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unconditional-image-generation | diffusers |
## Obama Model Card
DDPMObama is a latent noise-to-image diffusion model capable of generating images of obama. For more information about how Stable Diffusion functions, please have a look at 🤗's [Stable Diffusion blog](https://huggingface.co/blog/stable_diffusion).
You can use this with the 🧨Diffusers library fr... | {"license": "mit", "library_name": "diffusers", "tags": ["diffusion"], "metrics": ["mse"], "pipeline_tag": "unconditional-image-generation"} | nroggendorff/obama | null | [
"diffusers",
"tensorboard",
"safetensors",
"diffusion",
"unconditional-image-generation",
"license:mit",
"has_space",
"diffusers:DDPMPipeline",
"region:us"
] | null | 2024-04-07T19:58:55+00:00 | [] | [] | TAGS
#diffusers #tensorboard #safetensors #diffusion #unconditional-image-generation #license-mit #has_space #diffusers-DDPMPipeline #region-us
|
## Obama Model Card
DDPMObama is a latent noise-to-image diffusion model capable of generating images of obama. For more information about how Stable Diffusion functions, please have a look at 's Stable Diffusion blog.
You can use this with the Diffusers library from Hugging Face.
!So cool, right?
### Diffusers
... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whisper-small-bungoma.en
This model is a fine-tuned version of [openai/whisper-small.en](https://huggingface.co/openai/whisper-s... | {"language": ["en"], "license": "apache-2.0", "tags": ["nyansapo_ai-asr-leaderboard", "generated_from_trainer"], "datasets": ["NyansapoAI/azure-dataset"], "base_model": "openai/whisper-small.en", "model-index": [{"name": "whisper-small-bungoma.en", "results": []}]} | eai6/whisper-small-bungoma.en | null | [
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"license:apache-2.0",
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"region:us"
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"en"
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|
# URL
This model is a fine-tuned version of openai/URL on the Azure-dataset dataset.
It achieves the following results on the evaluation set:
- eval_loss: nan
- eval_wer: 100.0
- eval_runtime: 952.3047
- eval_samples_per_second: 0.4
- eval_steps_per_second: 0.05
- epoch: 1.38
- step: 250
## Model description
More... | [
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mask-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": []} | diliash/sam-2024-04-07-19-49-56 | 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 |
# KukulStanta-InfinityRP-7B-slerp
KukulStanta-InfinityRP-7B-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [Nitral-AI/KukulStanta-7B](https://huggingface.co/Nitral-AI/KukulStanta-7B)
* [Endevor/InfinityRP-v1-7B](https://huggingface.co/Endevor/InfinityRP-v1-7B)
## 🧩 C... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "Nitral-AI/KukulStanta-7B", "Endevor/InfinityRP-v1-7B"]} | AlekseiPravdin/KukulStanta-InfinityRP-7B-slerp | null | [
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|
# KukulStanta-InfinityRP-7B-slerp
KukulStanta-InfinityRP-7B-slerp is a merge of the following models using mergekit:
* Nitral-AI/KukulStanta-7B
* Endevor/InfinityRP-v1-7B
## Configuration
| [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whisper-base-bungoma.en
This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-bas... | {"language": ["en"], "license": "apache-2.0", "tags": ["nyansapo_ai-asr-leaderboard", "generated_from_trainer"], "datasets": ["NyansapoAI/azure-dataset"], "metrics": ["wer"], "base_model": "openai/whisper-base.en", "model-index": [{"name": "whisper-base-bungoma.en", "results": [{"task": {"type": "automatic-speech-recog... | eai6/whisper-base-bungoma.en | null | [
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"reg... | null | 2024-04-07T20:05:08+00:00 | [] | [
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| URL
===
This model is a fine-tuned version of openai/URL on the Azure-dataset dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0636
* Wer: 25.2804
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information n... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
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text-generation | transformers |
# MoMonir/openhermes-gemma-2b-it-GGUF
This model was converted to GGUF format from [`Syed-Hasan-8503/openhermes-gemma-2b-it`](https://huggingface.co/Syed-Hasan-8503/openhermes-gemma-2b-it) using llama.cpp
Refer to the [original model card](https://huggingface.co/Syed-Hasan-8503/openhermes-gemma-2b-it) for more detail... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["generated_from_trainer", "axolotl", "gemma", "instruct", "finetune", "chatml", "gpt4", "synthetic data", "distillation"], "datasets": ["mlabonne/chatml-OpenHermes2.5-dpo-binarized-alpha"], "base_model": "google/gemma-2b-it", "pipe... | MoMonir/openhermes-gemma-2b-it-GGUF | null | [
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"license:cc-by-nc-4.0... | null | 2024-04-07T20:06:12+00:00 | [] | [
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|
# MoMonir/openhermes-gemma-2b-it-GGUF
This model was converted to GGUF format from 'Syed-Hasan-8503/openhermes-gemma-2b-it' using URL
Refer to the original model card for more details on the model.
### About GGUF (TheBloke Description)
GGUF is a new format introduced by the URL team on August 21st 2023. It is a r... | [
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table-question-answering | 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": []} | genia-vdg/genia-modelo3 | null | [
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## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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image-to-3d | michelangelo |
This model has been pushed to the Hub using **michelangelo**:
- Repo: https://github.com/NeuralCarver/Michelangelo
- Docs: [More Information Needed] | {"library_name": "michelangelo", "tags": ["image-to-3d", "pytorch_model_hub_mixin", "model_hub_mixin"], "repo_url": "https://github.com/NeuralCarver/Michelangelo"} | not-lain/Michelangelo | null | [
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This model has been pushed to the Hub using michelangelo:
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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. -->
# donut-base-sroie
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-b... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut-base-sroie", "results": []}]} | susanths/donut-base-sroie | null | [
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|
# donut-base-sroie
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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### Training hyperp... | [
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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. -->
# donut-base-sroie
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-b... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut-base-sroie", "results": []}]} | bhavenshah/donut-base-sroie | null | [
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|
# donut-base-sroie
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperp... | [
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feature-extraction | sentence-transformers |
# gist-embedding-v0-gguf
Model creator: [avsolatorio](https://huggingface.co/avsolatorio)
Original model: [GIST-Embedding-v0](https://huggingface.co/avsolatorio/GIST-Embedding-v0)
## Original Description
*GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning*
The model is fine... | {"language": ["en"], "license": "mit", "library_name": "sentence-transformers", "tags": ["bert", "gguf - feature-extraction - mteb - sentence-similarity - sentence-transformers"], "model_name": "GIST-Embedding-v0", "base_model": "avsolatorio/GIST-Embedding-v0", "inference": false, "model_creator": "avsolatorio", "model... | ChristianAzinn/gist-embedding-v0-gguf | null | [
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"arxiv:2402.16829",
"arxiv:2212.09741",
"base_model:avsolatorio/GIST-Embedding-v0",
"license:mit",
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] | null | 2024-04-07T20:14:18+00:00 | [
"2402.16829",
"2212.09741"
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"en"
] | TAGS
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| gist-embedding-v0-gguf
======================
Model creator: avsolatorio
Original model: GIST-Embedding-v0
Original Description
--------------------
*GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning*
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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": []} | ImanNalia/FT_Wav2Vec2_Base_No_LM_30 | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T20:14:22+00:00 | [
"1910.09700"
] | [] | TAGS
#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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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feature-extraction | sentence-transformers |
# gist-large-embedding-v0-gguf
Model creator: [avsolatorio](https://huggingface.co/avsolatorio)
Original model: [gist-large-embedding-v0](https://huggingface.co/avsolatorio/gist-large-embedding-v0)
## Original Description
The model is fine-tuned on top of the [BAAI/bge-large-en-v1.5](https://huggingface.co/BAAI/bg... | {"language": ["en"], "license": "mit", "library_name": "sentence-transformers", "tags": ["feature-extraction", "mteb", "sentence-similarity", "sentence-transformers", "bert", "gguf"], "model_name": "gist-large-embedding-v0", "base_model": "avsolatorio/gist-large-embedding-v0", "inference": false, "model_creator": "avso... | ChristianAzinn/gist-large-embedding-v0-gguf | null | [
"sentence-transformers",
"gguf",
"feature-extraction",
"mteb",
"sentence-similarity",
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"arxiv:2402.16829",
"arxiv:2212.09741",
"base_model:avsolatorio/gist-large-embedding-v0",
"license:mit",
"region:us"
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"2402.16829",
"2212.09741"
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"en"
] | TAGS
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| gist-large-embedding-v0-gguf
============================
Model creator: avsolatorio
Original model: gist-large-embedding-v0
Original Description
--------------------
The model is fine-tuned on top of the BAAI/bge-large-en-v1.5 using the MEDI dataset augmented with mined triplets from the MTEB Classification tr... | [] | [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low... | {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-0.5B-layer-mix-bpw-2.2 | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-07T20:15:43+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| GreenBit LLMs
=============
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using... | [
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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. -->
# Super_legal_text_summarizer
This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-large-cnn", "model-index": [{"name": "Super_legal_text_summarizer", "results": []}]} | aiguy68/Super_legal_text_summarizer | null | [
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| Super\_legal\_text\_summarizer
==============================
This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8242
* Rouge1: 0.4168
* Rouge2: 0.1843
* Rougel: 0.26
* Rougelsum: 0.2614
* Gen Len: 126.1232
Model ... | [
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feature-extraction | sentence-transformers |
# bge-base-en-v1.5-gguf
Model creator: [BAAI](https://huggingface.co/BAAI)
Original model: [bge-base-en-v1.5](https://huggingface.co/BAAI/bge-base-en-v1.5)
## Original Description
For more details please refer to our Github: [FlagEmbedding](https://github.com/FlagOpen/FlagEmbedding).
If you are looking for a mode... | {"language": ["en"], "license": "mit", "library_name": "sentence-transformers", "tags": ["mteb", "bert", "gguf", "sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "model_name": "bge-base-en-v1.5", "base_model": "BAAI/bge-base-en-v1.5", "inference": false, "model_creator": "BAAI", "m... | ChristianAzinn/bge-base-en-v1.5-gguf | null | [
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| bge-base-en-v1.5-gguf
=====================
Model creator: BAAI
Original model: bge-base-en-v1.5
Original Description
--------------------
For more details please refer to our Github: FlagEmbedding.
If you are looking for a model that supports more languages, longer texts, and other retrieval methods, you can... | [] | [
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] |
feature-extraction | sentence-transformers |
# bge-small-en-v1.5-gguf
Model creator: [BAAI](https://huggingface.co/BAAI)
Original model: [bge-small-en-v1.5](https://huggingface.co/BAAI/bge-small-en-v1.5)
## Original Description
More details please refer to our Github: [FlagEmbedding](https://github.com/FlagOpen/FlagEmbedding).
If you are looking for a model... | {"language": ["en"], "license": "mit", "library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers", "mteb", "bert", "gguf"], "model_name": "bge-small-en-v1.5", "base_model": "BAAI/bge-small-en-v1.5", "inference": false, "model_creator": "BAAI", ... | ChristianAzinn/bge-small-en-v1.5-gguf | null | [
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"license:mit",
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| bge-small-en-v1.5-gguf
======================
Model creator: BAAI
Original model: bge-small-en-v1.5
Original Description
--------------------
More details please refer to our Github: FlagEmbedding.
If you are looking for a model that supports more languages, longer texts, and other retrieval methods, you can ... | [] | [
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] |
feature-extraction | sentence-transformers |
# bge-large-en-v1.5-gguf
Model creator: [BAAI](https://huggingface.co/BAAI)
Original model: [bge-large-en-v1.5](https://huggingface.co/BAAI/bge-large-en-v1.5)
## Original Description
For more details please refer to our Github: [FlagEmbedding](https://github.com/FlagOpen/FlagEmbedding).
If you are looking for a m... | {"language": ["en"], "license": "mit", "library_name": "sentence-transformers", "tags": ["mteb", "bert", "gguf", "sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "model_name": "bge-large-en-v1.5", "base_model": "BAAI/bge-large-en-v1.5", "inference": false, "model_creator": "BAAI", ... | ChristianAzinn/bge-large-en-v1.5-gguf | null | [
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| bge-large-en-v1.5-gguf
======================
Model creator: BAAI
Original model: bge-large-en-v1.5
Original Description
--------------------
For more details please refer to our Github: FlagEmbedding.
If you are looking for a model that supports more languages, longer texts, and other retrieval methods, you ... | [] | [
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] |
feature-extraction | sentence-transformers |
# gte-base-gguf
Model creator: [thenlper](https://huggingface.co/thenlper)
Original model: [gte-base](https://huggingface.co/thenlper/gte-base)
## Original Description
General Text Embeddings (GTE) model. [Towards General Text Embeddings with Multi-stage Contrastive Learning](https://arxiv.org/abs/2308.03281)
The... | {"language": ["en"], "license": "mit", "library_name": "sentence-transformers", "tags": ["mteb", "bert", "gguf", "sentence-similarity", "sentence-transformers", "Sentence Transformers"], "model_name": "gte-base", "base_model": "thenlper/gte-base", "inference": false, "model_creator": "thenlper", "model_type": "bert", "... | ChristianAzinn/gte-base-gguf | null | [
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"mteb",
"bert",
"sentence-similarity",
"Sentence Transformers",
"feature-extraction",
"en",
"arxiv:2308.03281",
"base_model:thenlper/gte-base",
"license:mit",
"region:us"
] | null | 2024-04-07T20:18:54+00:00 | [
"2308.03281"
] | [
"en"
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#sentence-transformers #gguf #mteb #bert #sentence-similarity #Sentence Transformers #feature-extraction #en #arxiv-2308.03281 #base_model-thenlper/gte-base #license-mit #region-us
| gte-base-gguf
=============
Model creator: thenlper
Original model: gte-base
Original Description
--------------------
General Text Embeddings (GTE) model. Towards General Text Embeddings with Multi-stage Contrastive Learning
The GTE models are trained by Alibaba DAMO Academy. They are mainly based on the BER... | [] | [
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] |
null | mlx |
# mlx-community/dolphin-2.2-70b-4bit
This model was converted to MLX format from [`cognitivecomputations/dolphin-2.2-70b`]() using mlx-lm version **0.7.0**.
Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.2-70b) for more details on the model.
## Use with mlx
```bash
pip insta... | {"language": ["en"], "license": "llama2", "tags": ["mlx"], "datasets": ["ehartford/dolphin", "jondurbin/airoboros-2.2.1"]} | mlx-community/dolphin-2.2-70b-4bit | null | [
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"safetensors",
"llama",
"en",
"dataset:ehartford/dolphin",
"dataset:jondurbin/airoboros-2.2.1",
"license:llama2",
"region:us"
] | null | 2024-04-07T20:20:52+00:00 | [] | [
"en"
] | TAGS
#mlx #safetensors #llama #en #dataset-ehartford/dolphin #dataset-jondurbin/airoboros-2.2.1 #license-llama2 #region-us
|
# mlx-community/dolphin-2.2-70b-4bit
This model was converted to MLX format from ['cognitivecomputations/dolphin-2.2-70b']() using mlx-lm version 0.7.0.
Refer to the original model card for more details on the model.
## Use with mlx
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text-generation | transformers |
## 🧩 Configuration
```yaml
slices:
- sources:
- model: liminerity/M7-7b
layer_range: [0, 32]
- model: AurelPx/Percival_01-7b-slerp
layer_range: [0, 32]
merge_method: slerp
base_model: liminerity/M7-7b
parameters:
t:
- filter: self_attn
value: [0.2236609428446562, 0.7745314871... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["liminerity/M7-7b", "AurelPx/Percival_01-7b-slerp"]} | aaron-di/Yamshadowexperiment28M70.22-0.77-0.52-0.87-0.41-0.01-7B | null | [
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"safetensors",
"mistral",
"text-generation",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"re... | null | 2024-04-07T20:21:05+00:00 | [] | [] | TAGS
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|
## Configuration
## Usage
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] |
feature-extraction | sentence-transformers |
# gte-large-gguf
Model creator: [thenlper](https://huggingface.co/thenlper)
Original model: [gte-large](https://huggingface.co/thenlper/gte-large)
## Original Description
General Text Embeddings (GTE) model. [Towards General Text Embeddings with Multi-stage Contrastive Learning](https://arxiv.org/abs/2308.03281)
... | {"language": ["en"], "license": "mit", "library_name": "sentence-transformers", "tags": ["mteb", "bert", "gguf", "sentence-similarity", "sentence-transformers", "Sentence Transformers"], "model_name": "gte-large", "base_model": "thenlper/gte-large", "inference": false, "model_creator": "thenlper", "model_type": "bert",... | ChristianAzinn/gte-large-gguf | null | [
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"mteb",
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"Sentence Transformers",
"feature-extraction",
"en",
"arxiv:2308.03281",
"base_model:thenlper/gte-large",
"license:mit",
"region:us"
] | null | 2024-04-07T20:21:45+00:00 | [
"2308.03281"
] | [
"en"
] | TAGS
#sentence-transformers #gguf #mteb #bert #sentence-similarity #Sentence Transformers #feature-extraction #en #arxiv-2308.03281 #base_model-thenlper/gte-large #license-mit #region-us
| gte-large-gguf
==============
Model creator: thenlper
Original model: gte-large
Original Description
--------------------
General Text Embeddings (GTE) model. Towards General Text Embeddings with Multi-stage Contrastive Learning
The GTE models are trained by Alibaba DAMO Academy. They are mainly based on the ... | [] | [
"TAGS\n#sentence-transformers #gguf #mteb #bert #sentence-similarity #Sentence Transformers #feature-extraction #en #arxiv-2308.03281 #base_model-thenlper/gte-large #license-mit #region-us \n"
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] |
feature-extraction | sentence-transformers |
# gte-small-gguf
Model creator: [thenlper](https://huggingface.co/thenlper)
Original model: [gte-small](https://huggingface.co/thenlper/gte-small)
## Original Description
General Text Embeddings (GTE) model. [Towards General Text Embeddings with Multi-stage Contrastive Learning](https://arxiv.org/abs/2308.03281)
... | {"language": ["en"], "license": "mit", "library_name": "sentence-transformers", "tags": ["sentence-similarity", "sentence-transformers", "Sentence Transformers", "mteb", "bert", "gguf"], "model_name": "gte-small", "base_model": "thenlper/gte-small", "inference": false, "model_creator": "thenlper", "model_type": "bert",... | ChristianAzinn/gte-small-gguf | null | [
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"feature-extraction",
"en",
"arxiv:2308.03281",
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"license:mit",
"region:us"
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"2308.03281"
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"en"
] | TAGS
#sentence-transformers #gguf #sentence-similarity #Sentence Transformers #mteb #bert #feature-extraction #en #arxiv-2308.03281 #base_model-thenlper/gte-small #license-mit #region-us
| gte-small-gguf
==============
Model creator: thenlper
Original model: gte-small
Original Description
--------------------
General Text Embeddings (GTE) model. Towards General Text Embeddings with Multi-stage Contrastive Learning
The GTE models are trained by Alibaba DAMO Academy. They are mainly based on the ... | [] | [
"TAGS\n#sentence-transformers #gguf #sentence-similarity #Sentence Transformers #mteb #bert #feature-extraction #en #arxiv-2308.03281 #base_model-thenlper/gte-small #license-mit #region-us \n"
] | [
59
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] |
feature-extraction | sentence-transformers |
# mxbai-embed-large-v1-gguf
Model creator: [MixedBread AI](https://huggingface.co/mixedbread-ai)
Original model: [mxbai-embed-large-v1](https://huggingface.co/mixedbread-ai/mxbai-embed-large-v1)
## Original Description
This is our base sentence embedding model. It was trained using [AnglE](https://arxiv.org/abs/23... | {"language": ["en"], "license": "apache-2.0", "library_name": "sentence-transformers", "tags": ["mteb", "transformers", "transformers.js", "gguf"], "model_name": "mxbai-embed-large-v1", "base_model": "mixedbread-ai/mxbai-embed-large-v1", "inference": false, "model_creator": "mixedbread-ai", "model_type": "bert", "quant... | ChristianAzinn/mxbai-embed-large-v1-gguf | null | [
"sentence-transformers",
"gguf",
"mteb",
"transformers",
"transformers.js",
"feature-extraction",
"en",
"arxiv:2309.12871",
"base_model:mixedbread-ai/mxbai-embed-large-v1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-07T20:23:25+00:00 | [
"2309.12871"
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"en"
] | TAGS
#sentence-transformers #gguf #mteb #transformers #transformers.js #feature-extraction #en #arxiv-2309.12871 #base_model-mixedbread-ai/mxbai-embed-large-v1 #license-apache-2.0 #region-us
| mxbai-embed-large-v1-gguf
=========================
Model creator: MixedBread AI
Original model: mxbai-embed-large-v1
Original Description
--------------------
This is our base sentence embedding model. It was trained using AnglE loss on our high-quality large scale data. It achieves SOTA performance on BERT-la... | [] | [
"TAGS\n#sentence-transformers #gguf #mteb #transformers #transformers.js #feature-extraction #en #arxiv-2309.12871 #base_model-mixedbread-ai/mxbai-embed-large-v1 #license-apache-2.0 #region-us \n"
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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. -->
# mistral-bot
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) ... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral-bot", "results": []}]} | kahliahogg/mistral-bot | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-07T20:24:55+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
|
# mistral-bot
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 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 hyperparamete... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing **FrozenLake-v1**
This is a trained **Q-Learning** agent playing **FrozenLake-v1**.
## Usage
```python
import gymnasium as gym
from huggingface_hub import snapshot_download
# https://github.com/libertininick/r2seedo
from r2seedo.io import load_n_verify_model
# Download model snapsho... | {"tags": ["FrozenLake-v1-4x4-slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-table-frozen-lake", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-slippery", "type": "FrozenLake-v1-4x... | libertininick/q-table-frozen-lake | null | [
"joblib",
"FrozenLake-v1-4x4-slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-07T20:27:18+00:00 | [] | [] | TAGS
#joblib #FrozenLake-v1-4x4-slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing FrozenLake-v1
This is a trained Q-Learning agent playing FrozenLake-v1.
## Usage
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] |
null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Ying7888/bert-lora-ar-001 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T20:27:19+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low... | {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-0.5B-layer-mix-bpw-3.0 | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-07T20:27:54+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| GreenBit LLMs
=============
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using... | [
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text-generation | transformers |
tr-dare-merge-7B
## Configs
```yaml
models:
- model: mistralai/Mistral-7B-Instruct-v0.2
- model: TURKCELL/Turkcell-LLM-7b-v1
parameters:
density: 0.7
weight: 0.4
- model: Trendyol/Trendyol-LLM-7b-chat-dpo-v1.0
parameters:
density: 0.7
weight: 0.4
merge_method: dare_ties
base_mo... | {"language": ["tr", "en"], "license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "Mistral-7B-Instruct-v0.2"]} | berkecr/tr-dare-merge-7B | null | [
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|
tr-dare-merge-7B
## Configs
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] |
text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712521957467x476157815825122300
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
A TOK character
```
Use this keyword to trigger your custom model in your prompts... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["THEUS/Albert_wesk"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A TOK character", "inference": false} | squaadinc/1712521957467x476157815825122300 | null | [
"diffusers",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"text-to-image",
"lora",
"dataset:THEUS/Albert_wesk",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-07T20:32:47+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-THEUS/Albert_wesk #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1712521957467x476157815825122300
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
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image-feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Az-r-ow/resnet-50-cifar100-coarse | null | [
"transformers",
"safetensors",
"resnet",
"image-feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T20:33:39+00:00 | [
"1910.09700"
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#transformers #safetensors #resnet #image-feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low... | {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-1.8B-layer-mix-bpw-2.2 | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-07T20:33:53+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| GreenBit LLMs
=============
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using... | [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low... | {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-1.8B-layer-mix-bpw-3.0 | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-07T20:37:22+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| GreenBit LLMs
=============
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using... | [
"### Zero-shot Evaluation\n\n\nWe evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using the 'llm\\_eval' library and list the results below:"
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null | null |
# Bangla LLaMA 13B Instruct v0.1 - GGUF Format (For use in LM Studio)
Welcome to the inaugural release of the Bangla LLaMA 13B instruct model – an important step in advancing LLMs for the Bangla language. This model is ready for immediate inference and is also primed for further fine-tuning to cater to your specific ... | {"language": ["bn", "en"], "license": "llama2"} | BanglaLLM/bangla-llama-13b-instruct-v0.1-GGUF | null | [
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#gguf #bn #en #license-llama2 #region-us
|
# Bangla LLaMA 13B Instruct v0.1 - GGUF Format (For use in LM Studio)
Welcome to the inaugural release of the Bangla LLaMA 13B instruct model – an important step in advancing LLMs for the Bangla language. This model is ready for immediate inference and is also primed for further fine-tuning to cater to your specific ... | [
"# Bangla LLaMA 13B Instruct v0.1 - GGUF Format (For use in LM Studio)\n\nWelcome to the inaugural release of the Bangla LLaMA 13B instruct model – an important step in advancing LLMs for the Bangla language. This model is ready for immediate inference and is also primed for further fine-tuning to cater to your spe... | [
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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. -->
# bart-finetuned-loaf-128-lyrictoplan
This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-large", "model-index": [{"name": "bart-finetuned-loaf-128-lyrictoplan", "results": []}]} | adamjweintraut/bart-finetuned-loaf-128-lyrictoplan | null | [
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#transformers #tensorboard #safetensors #bart #text2text-generation #generated_from_trainer #base_model-facebook/bart-large #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| bart-finetuned-loaf-128-lyrictoplan
===================================
This model is a fine-tuned version of facebook/bart-large on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1312
Model description
-----------------
More information needed
Intended uses & limitatio... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-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",
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low... | {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-4B-layer-mix-bpw-2.2 | null | [
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"license:apache-2.0",
"autotrain_compatible",
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"region:us"
] | null | 2024-04-07T20:40:42+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| GreenBit LLMs
=============
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using... | [
"### Zero-shot Evaluation\n\n\nWe evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using the 'llm\\_eval' library and list the results below:"
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null | null |
# KukulStanta-InfinityRP-7B-slerp-GGUF ⭐️⭐️
KukulStanta-InfinityRP-7B-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [Nitral-AI/KukulStanta-7B](https://huggingface.co/Nitral-AI/KukulStanta-7B)
* [Endevor/InfinityRP-v1-7B](https://huggingface.co/Endevor/InfinityRP-v1-7B... | {"language": ["en", "ru", "th"], "license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "Nitral-AI/KukulStanta-7B", "Endevor/InfinityRP-v1-7B", "gguf", "Q2_K", "Q3_K_L", "Q3_K_M", "Q3_K_S", "Q4_0", "Q4_1", "Q4_K_S", "Q4_k_m", "Q5_0", "Q5_1", "Q6_K", "Q5_K_S", "Q5_k_m", "Q8_0"]} | AlekseiPravdin/KukulStanta-InfinityRP-7B-slerp-GGUF | null | [
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"... | null | 2024-04-07T20:40:44+00:00 | [] | [
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|
# KukulStanta-InfinityRP-7B-slerp-GGUF ⭐️⭐️
KukulStanta-InfinityRP-7B-slerp is a merge of the following models using mergekit:
* Nitral-AI/KukulStanta-7B
* Endevor/InfinityRP-v1-7B
## Configuration
Eval embedding benchmark (with 70 specific quesions):
!URL
!URL
!URL
!URL
!URL
!URL
!URL
!URL
!URL
!URL
!URL
!URL
... | [
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null | null |
# Bangla LLaMA 7B Instruct v0.1 - GGUF Format (For use in LM Studio)
Welcome to the inaugural release of the Bangla LLaMA 7B instruct model – an important step in advancing LLMs for the Bangla language. This model is ready for immediate inference and is also primed for further fine-tuning to cater to your specific NL... | {"language": ["bn", "en"], "license": "llama2"} | BanglaLLM/bangla-llama-7b-instruct-v0.1-GGUF | null | [
"gguf",
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"en",
"license:llama2",
"region:us"
] | null | 2024-04-07T20:41:00+00:00 | [] | [
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#gguf #bn #en #license-llama2 #region-us
|
# Bangla LLaMA 7B Instruct v0.1 - GGUF Format (For use in LM Studio)
Welcome to the inaugural release of the Bangla LLaMA 7B instruct model – an important step in advancing LLMs for the Bangla language. This model is ready for immediate inference and is also primed for further fine-tuning to cater to your specific NL... | [
"# Bangla LLaMA 7B Instruct v0.1 - GGUF Format (For use in LM Studio)\n\nWelcome to the inaugural release of the Bangla LLaMA 7B instruct model – an important step in advancing LLMs for the Bangla language. This model is ready for immediate inference and is also primed for further fine-tuning to cater to your speci... | [
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text-generation | transformers | <div align="center">
<img src="https://cdn-uploads.huggingface.co/production/uploads/6408c495b6a334f53e22b612/EyjjjqmkFodS4KyxD9Hm2.png" alt="Alt Text" width="500"/>
<h1>🍪 BiscuitRP - Roleplay Merge 🍪</h1>
This Model is slerp merge of <a href="https://huggingface.co/Fredithefish/HarmonyRP-8x7B">HarmonyRP</a> a... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["rp", "roleplay"]} | Fredithefish/BiscuitRP-8x7B | null | [
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"mixtral",
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"rp",
"roleplay",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-07T20:42:06+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #rp #roleplay #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| <div align="center">
<img src="URL alt="Alt Text" width="500"/>
<h1> BiscuitRP - Roleplay Merge </h1>
This Model is slerp merge of <a href="URL and <a href="URL it was done by using the <a href="URL repository.<br>
</div>
<br><br>
## Merge Config
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low... | {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-4B-layer-mix-bpw-3.0 | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-07T20:43:15+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| GreenBit LLMs
=============
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using... | [
"### Zero-shot Evaluation\n\n\nWe evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using the 'llm\\_eval' library and list the results below:"
] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low... | {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-7B-layer-mix-bpw-2.2 | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-07T20:47:08+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| GreenBit LLMs
=============
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using... | [
"### Zero-shot Evaluation\n\n\nWe evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using the 'llm\\_eval' library and list the results below:"
] | [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low... | {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-7B-layer-mix-bpw-3.0 | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-07T20:49:38+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| GreenBit LLMs
=============
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using... | [
"### Zero-shot Evaluation\n\n\nWe evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using the 'llm\\_eval' library and list the results below:"
] | [
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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": []} | jmcastelo17/wav2vec2-base-demo-colab | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T20:57:09+00:00 | [
"1910.09700"
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#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-to-image | diffusers | Model info :
https://civitai.com/models/255697?modelVersionId=389177
| {"license": "other", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers"], "inference": true} | digiplay/Blazarot_blazaroshi | null | [
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] | null | 2024-04-07T20:57:41+00:00 | [] | [] | TAGS
#diffusers #safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #license-other #endpoints_compatible #has_space #diffusers-StableDiffusionPipeline #region-us
| Model info :
URL
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text2text-generation | transformers | # Model Card for Model ID
A fine-tuned model for English to Turkish translation.
## 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:** Ceren K
- **Model type:** MarianMT
- **Langu... | {"language": ["en", "tr"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["tatoeba"]} | ckartal/english-to-turkish-finetuned-model | null | [
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"marian",
"text2text-generation",
"en",
"tr",
"dataset:tatoeba",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T20:57:49+00:00 | [] | [
"en",
"tr"
] | TAGS
#transformers #safetensors #marian #text2text-generation #en #tr #dataset-tatoeba #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| # Model Card for Model ID
A fine-tuned model for English to Turkish translation.
## 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: Ceren K
- Model type: MarianMT
- Language(s) (NLP)... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-base_fomc
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown datase... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "roberta-base_fomc", "results": []}]} | karoldobiczek/roberta-base_fomc | null | [
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"pytorch",
"roberta",
"text-classification",
"generated_from_trainer",
"base_model:roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T20:57:53+00:00 | [] | [] | TAGS
#transformers #pytorch #roberta #text-classification #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| roberta-base\_fomc
==================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7182
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More inf... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps: ... | [
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text-generation | null |
# MoMonir/Arabic-llama3-GGUF
This model was converted to GGUF format from [`abacaj/phi-2-super`](https://huggingface.co/abacaj/phi-2-super) using llama.cpp
Refer to the [original model card](https://huggingface.co/abacaj/phi-2-super) for more details on the model.
<!-- README_GGUF.md-about-gguf start -->
### About G... | {"language": ["en"], "license": "mit", "tags": ["convAI", "conversational"], "license_link": "https://huggingface.co/microsoft/phi-2/resolve/main/LICENSE", "widget": [{"text": "Hello who are you?", "example_title": "Identity"}, {"text": "What can you do?", "example_title": "Capabilities"}, {"text": "Create a fastapi en... | MoMonir/phi-2-super-GGUF | null | [
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"en"
] | TAGS
#gguf #convAI #conversational #text-generation #en #license-mit #model-index #region-us
|
# MoMonir/Arabic-llama3-GGUF
This model was converted to GGUF format from 'abacaj/phi-2-super' using URL
Refer to the original model card for more details on the model.
### About GGUF (TheBloke Description)
GGUF is a new format introduced by the URL team on August 21st 2023. It is a replacement for GGML, which 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": []} | Jyotiyadav/mistral_7b_NER_fineTuned | null | [
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"mistral",
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"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-07T21:11:12+00:00 | [
"1910.09700"
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#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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text-generation | transformers | # [MaziyarPanahi/Calme-12B-Instruct-v0.1-GGUF](https://huggingface.co/MaziyarPanahi/Calme-12B-Instruct-v0.1-GGUF)
- Model creator: [MaziyarPanahi](https://huggingface.co/MaziyarPanahi)
- Original model: [MaziyarPanahi/Calme-12B-Instruct-v0.1](https://huggingface.co/MaziyarPanahi/Calme-12B-Instruct-v0.1)
## Description... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "generated_from_trainer", "12b", "calme", "license:apache-2.0", "autotrain_compatible", "text-generation-inference", "region:us", "text-generation"], "model_name": "Calme-12B... | MaziyarPanahi/Calme-12B-Instruct-v0.1-GGUF | null | [
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"b... | null | 2024-04-07T21:12:20+00:00 | [] | [] | TAGS
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| # MaziyarPanahi/Calme-12B-Instruct-v0.1-GGUF
- Model creator: MaziyarPanahi
- Original model: MaziyarPanahi/Calme-12B-Instruct-v0.1
## Description
MaziyarPanahi/Calme-12B-Instruct-v0.1-GGUF contains GGUF format model files for MaziyarPanahi/Calme-12B-Instruct-v0.1.
## How to use
Thanks to TheBloke for preparing an am... | [
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"## How to use\nThanks to TheBloke fo... | [
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null | null | # Pre-trained Web Table Embeddings
The models here represent schema terms and instance data terms in a semantic vector space making them especially useful for representing schema and class information as well as for ML tasks on tabular text data.
The code for executing and evaluating the models is located in the [tab... | {"language": ["en"], "license": "mit", "tags": ["schema", "word-embeddings", "embeddings", "unsupervised-learning", "tables", "web-table", "schema-data"]} | ddrg/web_table_embeddings_tax150 | null | [
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"word-embeddings",
"embeddings",
"unsupervised-learning",
"tables",
"web-table",
"schema-data",
"en",
"license:mit",
"region:us"
] | null | 2024-04-07T21:15:19+00:00 | [] | [
"en"
] | TAGS
#schema #word-embeddings #embeddings #unsupervised-learning #tables #web-table #schema-data #en #license-mit #region-us
| Pre-trained Web Table Embeddings
================================
The models here represent schema terms and instance data terms in a semantic vector space making them especially useful for representing schema and class information as well as for ML tasks on tabular text data.
The code for executing and evaluating ... | [] | [
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45
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/bunnycore/Fuse-Dolphin-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show u... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": "bunnycore/Fuse-Dolphin-7B", "quantized_by": "mradermacher"} | mradermacher/Fuse-Dolphin-7B-GGUF | null | [
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"license:apache-2.0",
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] | null | 2024-04-07T21:15:42+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #merge #mergekit #lazymergekit #en #base_model-bunnycore/Fuse-Dolphin-7B #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-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. -->
# finetuning-sentiment-model-1000-samples-synth
This model is a fine-tuned version of [finiteautomata/bertweet-base-sentiment-anal... | {"tags": ["activist", "sceptic", "generated_from_trainer"], "metrics": ["accuracy", "f1", "recall", "precision"], "base_model": "finiteautomata/bertweet-base-sentiment-analysis", "model-index": [{"name": "finetuning-sentiment-model-1000-samples-synth", "results": []}]} | klorine28/finetuning-sentiment-model-1000-samples-synth | null | [
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"safetensors",
"roberta",
"text-classification",
"activist",
"sceptic",
"generated_from_trainer",
"base_model:finiteautomata/bertweet-base-sentiment-analysis",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T21:15:50+00:00 | [] | [] | TAGS
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|
# finetuning-sentiment-model-1000-samples-synth
This model is a fine-tuned version of finiteautomata/bertweet-base-sentiment-analysis on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0794
- Accuracy: 0.9825
- F1: 0.9825
- Recall: 0.9899
- Precision: 0.9751
## Model descriptio... | [
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null | transformers |
# Uploaded model
- **Developed by:** AvizvaSolutions
- **License:** apache-2.0
- **Finetuned from model :** openchat/openchat-3.5-1210
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "openchat/openchat-3.5-1210"} | AvizvaSolutions/colabTestVersion-1 | null | [
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] | TAGS
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|
# Uploaded model
- Developed by: AvizvaSolutions
- License: apache-2.0
- Finetuned from model : openchat/openchat-3.5-1210
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | SFVII/autotrain-ipwzd-ieijs | null | [
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"has_space",
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] | null | 2024-04-07T21:19:20+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #autotrain #text-generation-inference #text-generation #peft #conversational #license-other #endpoints_compatible #has_space #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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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/ChuckMcSneed/WinterGoddess-1.4x-70b-32k
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/W... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "ChuckMcSneed/WinterGoddess-1.4x-70b-32k", "quantized_by": "mradermacher"} | mradermacher/WinterGoddess-1.4x-70b-32k-i1-GGUF | null | [
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| 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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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": []} | GitBag/sft_tldr_pythia_1_4b | null | [
"transformers",
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|
# Model Card for Model ID
## Model Details
### Model Description
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Mistral-7B-Instruct-v0.2num_train_epochs10__max_seq_len_6302_finetuned
This model is a fine-tuned version of [mistralai/Mistral-... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral-7B-Instruct-v0.2num_train_epochs10__max_seq_len_6302_finetuned", "results": []}]} | vdavidr/Mistral-7B-Instruct-v0.2num_train_epochs10__max_seq_len_6302_finetuned | null | [
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|
# Mistral-7B-Instruct-v0.2num_train_epochs10__max_seq_len_6302_finetuned
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More info... | [
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text-to-image | diffusers | # Pekomama - Hololive
<Gallery />
## Model description
Pekomama From Hololive!
Trained on 1 outfit, every outfit has a trigger word corresponding to the appearance of the character and suggested prompts that summons related clothes and accesories.
Works well with 0.7-1.0 weight
## Trigger words
Default Outfit: ... | {"license": "other", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora", "not-for-all-audiences"], "widget": [{"text": "masterpiece, best quality, 1girl, mature female, <lora:sppekomamadefXL:1> pekomamadef, thick eyebrows, bunny-shaped pupils, rabbit ears, animal ear fluff, apron, dr... | Shalie/PekomamaAniXL | null | [
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"license:other",
"region:us"
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #not-for-all-audiences #base_model-cagliostrolab/animagine-xl-3.1 #license-other #region-us
| # Pekomama - Hololive
<Gallery />
## Model description
Pekomama From Hololive!
Trained on 1 outfit, every outfit has a trigger word corresponding to the appearance of the character and suggested prompts that summons related clothes and accesories.
Works well with 0.7-1.0 weight
## Trigger words
Default Outfit: ... | [
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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/Aeala/GPT4-x-AlpacaDente2-30b
**This uses only 40k tokens of my standard set, as the model overflowed with more.**
<!-- provided-fi... | {"language": ["en"], "library_name": "transformers", "base_model": "Aeala/GPT4-x-AlpacaDente2-30b", "quantized_by": "mradermacher"} | mradermacher/GPT4-x-AlpacaDente2-30b-i1-GGUF | null | [
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weighted/imatrix quants of URL
This uses only 40k tokens of my standard set, as the model overflowed with more.
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
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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": []} | GitBag/rm_sft_tldr_pythia_1_4b | null | [
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### Model Description
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null | transformers |
# Uploaded model
- **Developed by:** AvizvaSolutions
- **License:** apache-2.0
- **Finetuned from model :** openchat/openchat-3.5-1210
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "openchat/openchat-3.5-1210"} | AvizvaSolutions/colabTestVersion-2 | null | [
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text-to-audio | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# speecht5_constituicao
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_t... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "speecht5_constituicao", "results": []}]} | guilhermebastos96/speecht5_constituicao | null | [
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"region:us"
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| speecht5\_constituicao
======================
This model is a fine-tuned version of microsoft/speecht5\_tts on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3379
Model description
-----------------
More information needed
Intended uses & limitations
---------------------... | [
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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": []} | czaplon/mistral-0407.a | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
An intermediate version between 1.0 and 2.0 to test an in-house filtering technique. You could consider this as a preview for version 2.0. This model used both SFT and DPO.
## Model Details
### Model Description
<!-- Provide a ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "pipeline_tag": "text-generation"} | Locutusque/OpenCerebrum-1.5-Mistral-7b-v0.2-alpha | null | [
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text-generation | transformers |
# Chimera-Apex-7B
Chimera-Apex-7B is an experimental large language model (LLM) created by merging several high-performance models with the goal of achieving exceptional capabilities.
GGUF: https://huggingface.co/mradermacher/Chimera-Apex-7B-GGUF
### Tasks:
Due to the inclusion of various models, Chimera-Apex-7B ... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit"]} | bunnycore/Chimera-Apex-7B | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-07T21:38:36+00:00 | [] | [] | TAGS
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|
# Chimera-Apex-7B
Chimera-Apex-7B is an experimental large language model (LLM) created by merging several high-performance models with the goal of achieving exceptional capabilities.
GGUF: URL
### Tasks:
Due to the inclusion of various models, Chimera-Apex-7B is intended to be a general-purpose model capable of ... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_idpo_declr_4iters_iter_2
This model is a fine-tuned version of [ZhangShenao/0.001_idpo_declr_4iters_iter_1](https://huggin... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.001_idpo_declr_4iters_dataset"], "base_model": "ZhangShenao/0.001_idpo_declr_4iters_iter_1", "model-index": [{"name": "0.001_idpo_declr_4iters_iter_2", "results": []}]} | ZhangShenao/0.001_idpo_declr_4iters_iter_2 | null | [
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"license:mit",
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... | null | 2024-04-07T21:39:01+00:00 | [] | [] | TAGS
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# 0.001_idpo_declr_4iters_iter_2
This model is a fine-tuned version of ZhangShenao/0.001_idpo_declr_4iters_iter_1 on the ZhangShenao/0.001_idpo_declr_4iters_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More... | [
"# 0.001_idpo_declr_4iters_iter_2\n\nThis model is a fine-tuned version of ZhangShenao/0.001_idpo_declr_4iters_iter_1 on the ZhangShenao/0.001_idpo_declr_4iters_dataset dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and e... | [
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null | transformers |
# Uploaded model
- **Developed by:** AvizvaSolutions
- **License:** apache-2.0
- **Finetuned from model :** openchat/openchat-3.5-1210
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "openchat/openchat-3.5-1210"} | AvizvaSolutions/colabTestVersion-3 | null | [
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"unsloth",
"mistral",
"trl",
"en",
"base_model:openchat/openchat-3.5-1210",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T21:40:25+00:00 | [] | [
"en"
] | TAGS
#transformers #text-generation-inference #unsloth #mistral #trl #en #base_model-openchat/openchat-3.5-1210 #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: AvizvaSolutions
- License: apache-2.0
- Finetuned from model : openchat/openchat-3.5-1210
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: AvizvaSolutions\n- License: apache-2.0\n- Finetuned from model : openchat/openchat-3.5-1210\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
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"# Uploaded model\n\n- Developed by: AvizvaSolutions\n- License: apache-2.0\n- Finetuned from model : openchat/openchat-3.5-1210\n\nThis mist... | [
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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": []} | adhi29/adapter-gemma-2b-lora-answer-evaluator | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T21:40:52+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 | 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. -->
# donut-base-sroie
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-b... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut-base-sroie", "results": []}]} | ramkri123/donut-base-sroie | null | [
"transformers",
"tensorboard",
"safetensors",
"vision-encoder-decoder",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:naver-clova-ix/donut-base",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-07T21:41:54+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vision-encoder-decoder #generated_from_trainer #dataset-imagefolder #base_model-naver-clova-ix/donut-base #license-mit #endpoints_compatible #region-us
|
# donut-base-sroie
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperp... | [
"# donut-base-sroie\n\nThis model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training proc... | [
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null | mlx |
# mlx-community/dolphin-2.2-70b-8bit
This model was converted to MLX format from [`cognitivecomputations/dolphin-2.2-70b`]() using mlx-lm version **0.7.0**.
Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.2-70b) for more details on the model.
## Use with mlx
```bash
pip insta... | {"language": ["en"], "license": "llama2", "tags": ["mlx"], "datasets": ["ehartford/dolphin", "jondurbin/airoboros-2.2.1"]} | mlx-community/dolphin-2.2-70b-8bit | null | [
"mlx",
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"en"
] | TAGS
#mlx #safetensors #llama #en #dataset-ehartford/dolphin #dataset-jondurbin/airoboros-2.2.1 #license-llama2 #region-us
|
# mlx-community/dolphin-2.2-70b-8bit
This model was converted to MLX format from ['cognitivecomputations/dolphin-2.2-70b']() using mlx-lm version 0.7.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# mlx-community/dolphin-2.2-70b-8bit\nThis model was converted to MLX format from ['cognitivecomputations/dolphin-2.2-70b']() using mlx-lm version 0.7.0.\nRefer to the original model card for more details on the model.",
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