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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/LeroyDyer/Mixtral_AI_Ultron
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "code", "medical ", "farmer", "doctor", "Mega-Series", "Cyber-Series", "Role-Play", "Self-Rag", "ThinkingBot", "milestone", "mega-series", "SpydazWebAI"], "dat... | mradermacher/Mixtral_AI_Ultron-GGUF | null | [
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-----
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
-----
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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": []} | ConstantinKogler/phi2-good-answers | null | [
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"endpoints_compatible",
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Uploaded model
- **Developed by:** manasvikalyan
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | manasvikalyan/Finetune-Llama-3-8b-Alpaca | null | [
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# Uploaded model
- Developed by: manasvikalyan
- License: apache-2.0
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | dayoon/e5_new_loss_2024 | null | [
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"xlm-roberta",
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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-classification | transformers | # bert-base-multilingual-cased-language-detection
A model for language detection with support for 45 languages
## Model description
This model was created by fine-tuning
[bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the [common language](https://huggingface.co/datasets/common_l... | {} | Sitata/lang-detect | null | [
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#transformers #pytorch #bert #text-classification #autotrain_compatible #endpoints_compatible #region-us
| # bert-base-multilingual-cased-language-detection
A model for language detection with support for 45 languages
## Model description
This model was created by fine-tuning
bert-base-multilingual-cased on the common language dataset.
This dataset has support for 45 languages, which are listed below:
## Evaluation
This ... | [
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reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingf... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | UXAIR/A2C-PandaReachDense | null | [
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#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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text-generation | transformers |
# Uploaded model
- **Developed by:** akbargherbal
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | akbargherbal/think_tanks_v01_16bit | null | [
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|
# Uploaded model
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null | null | ## Run info
- complete_hash: ee614734e7d3cba14c977e855536342c
- short_hash: ee6146342c
### Configuration
```yaml
data:
batch_size: 32
data_seed: 42
drop_last: false
eval_batch_size: 128
max_length: 512
multiprocessing_context: null
num_workers: 8
persistent_workers: false
pin_memory: true
replaceme... | {} | jedidiahkkh/bert-tiny_mnli_ee6146342c | null | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# trained_english
This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.co/dis... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert/distilbert-base-multilingual-cased", "model-index": [{"name": "trained_english", "results": []}]} | annamariagnat/trained_english | null | [
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| trained\_english
================
This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1059
* Precision: 0.7345
* Recall: 0.7335
* F1: 0.7340
* Accuracy: 0.9772
Model description
----------------... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/LeroyDyer/Mixtral_AI_CyberUltron
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "code", "medical ", "farmer", "doctor", "Mega-Series", "Cyber-Series", "Role-Play", "Self-Rag", "ThinkingBot", "milestone", "mega-series", "SpydazWebAI"], "dat... | mradermacher/Mixtral_AI_CyberUltron-GGUF | null | [
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-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | team-sanai/bpe_4cat_32000 | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T13:26:32+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):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
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null | transformers |
# Anoxiom/Medical-Llama3-8B-Q6_K-GGUF
This model was converted to GGUF format from [`ruslanmv/Medical-Llama3-8B`](https://huggingface.co/ruslanmv/Medical-Llama3-8B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://hu... | {"language": "en", "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "ruslanmv", "llama", "trl", "llama-cpp", "gguf-my-repo"], "datasets": ["ruslanmv/ai-medical-chatbot"], "base_model": "meta-llama/Meta-Llama-3-8B"} | Anoxiom/Medical-Llama3-8B-Q6_K-GGUF | null | [
"transformers",
"gguf",
"text-generation-inference",
"ruslanmv",
"llama",
"trl",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:ruslanmv/ai-medical-chatbot",
"base_model:meta-llama/Meta-Llama-3-8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T13:28:15+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #text-generation-inference #ruslanmv #llama #trl #llama-cpp #gguf-my-repo #en #dataset-ruslanmv/ai-medical-chatbot #base_model-meta-llama/Meta-Llama-3-8B #license-apache-2.0 #endpoints_compatible #region-us
|
# Anoxiom/Medical-Llama3-8B-Q6_K-GGUF
This model was converted to GGUF format from 'ruslanmv/Medical-Llama3-8B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
"# Anoxiom/Medical-Llama3-8B-Q6_K-GGUF\nThis model was converted to GGUF format from 'ruslanmv/Medical-Llama3-8B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nC... | [
"TAGS\n#transformers #gguf #text-generation-inference #ruslanmv #llama #trl #llama-cpp #gguf-my-repo #en #dataset-ruslanmv/ai-medical-chatbot #base_model-meta-llama/Meta-Llama-3-8B #license-apache-2.0 #endpoints_compatible #region-us \n",
"# Anoxiom/Medical-Llama3-8B-Q6_K-GGUF\nThis model was converted to GGUF fo... | [
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"TAGS\n#transformers #gguf #text-generation-inference #ruslanmv #llama #trl #llama-cpp #gguf-my-repo #en #dataset-ruslanmv/ai-medical-chatbot #base_model-meta-llama/Meta-Llama-3-8B #license-apache-2.0 #endpoints_compatible #region-us \n# Anoxiom/Medical-Llama3-8B-Q6_K-GGUF\nThis model was converted to GGUF format f... |
null | null | # lightblue-suzume-llama-3-8B-japanese-gguf
[lightblueさんが公開しているsuzume-llama-3-8B-japanese](https://huggingface.co/lightblue/suzume-llama-3-8B-japanese)のggufフォーマット変換版です。
imatrixのデータは[TFMC/imatrix-dataset-for-japanese-llm](https://huggingface.co/datasets/TFMC/imatrix-dataset-for-japanese-llm)を使用して作成しました。
## 他のモデル
[m... | {"language": ["en", "ja"], "license": "llama3", "tags": ["llama3"], "datasets": ["TFMC/imatrix-dataset-for-japanese-llm"]} | mmnga/lightblue-suzume-llama-3-8B-japanese-gguf | null | [
"gguf",
"llama3",
"en",
"ja",
"dataset:TFMC/imatrix-dataset-for-japanese-llm",
"license:llama3",
"region:us"
] | null | 2024-04-23T13:30:08+00:00 | [] | [
"en",
"ja"
] | TAGS
#gguf #llama3 #en #ja #dataset-TFMC/imatrix-dataset-for-japanese-llm #license-llama3 #region-us
| # lightblue-suzume-llama-3-8B-japanese-gguf
lightblueさんが公開しているsuzume-llama-3-8B-japaneseのggufフォーマット変換版です。
imatrixのデータはTFMC/imatrix-dataset-for-japanese-llmを使用して作成しました。
## 他のモデル
mmnga/lightblue-suzume-llama-3-8B-japanese-gguf
mmnga/lightblue-ao-karasu-72B-gguf
mmnga/lightblue-karasu-1.1B-gguf
mmnga/lightblue-... | [
"# lightblue-suzume-llama-3-8B-japanese-gguf \nlightblueさんが公開しているsuzume-llama-3-8B-japaneseのggufフォーマット変換版です。\n\nimatrixのデータはTFMC/imatrix-dataset-for-japanese-llmを使用して作成しました。",
"## 他のモデル\nmmnga/lightblue-suzume-llama-3-8B-japanese-gguf \nmmnga/lightblue-ao-karasu-72B-gguf \nmmnga/lightblue-karasu-1.1B-gguf \nmm... | [
"TAGS\n#gguf #llama3 #en #ja #dataset-TFMC/imatrix-dataset-for-japanese-llm #license-llama3 #region-us \n",
"# lightblue-suzume-llama-3-8B-japanese-gguf \nlightblueさんが公開しているsuzume-llama-3-8B-japaneseのggufフォーマット変換版です。\n\nimatrixのデータはTFMC/imatrix-dataset-for-japanese-llmを使用して作成しました。",
"## 他のモデル\nmmnga/lightblue-s... | [
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"TAGS\n#gguf #llama3 #en #ja #dataset-TFMC/imatrix-dataset-for-japanese-llm #license-llama3 #region-us \n# lightblue-suzume-llama-3-8B-japanese-gguf \nlightblueさんが公開しているsuzume-llama-3-8B-japaneseのggufフォーマット変換版です。\n\nimatrixのデータはTFMC/imatrix-dataset-for-japanese-llmを使用して作成しました。## 他のモデル\nmmnga/lightblue-suzume-llama-... |
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": []} | domenicrosati/lens-loss-minimality_lr_1e-5_model_meta-llama_Llama-2-7b-chat-hf_batch_4_epoch_1_num_layers_6 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-23T13:30:42+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/McGill-NLP/Llama-3-8B-Web
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show u... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["agents", "agent", "llm", "llama"], "datasets": ["McGill-NLP/WebLINX"], "base_model": "McGill-NLP/Llama-3-8B-Web", "quantized_by": "mradermacher"} | mradermacher/Llama-3-8B-Web-GGUF | null | [
"transformers",
"gguf",
"agents",
"agent",
"llm",
"llama",
"en",
"dataset:McGill-NLP/WebLINX",
"base_model:McGill-NLP/Llama-3-8B-Web",
"license:llama3",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T13:33:28+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #agents #agent #llm #llama #en #dataset-McGill-NLP/WebLINX #base_model-McGill-NLP/Llama-3-8B-Web #license-llama3 #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... | [] | [
"TAGS\n#transformers #gguf #agents #agent #llm #llama #en #dataset-McGill-NLP/WebLINX #base_model-McGill-NLP/Llama-3-8B-Web #license-llama3 #endpoints_compatible #region-us \n"
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] |
null | nemo |
<!-- 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. -->
# Conformer_CTC_vi
This model is a training version of Conformer-CTC model on the VinBigdata dataset.
It achieves the following re... | {"language": ["vi"], "license": "apache-2.0", "framework_name": "NeMo", "base_model": "Conformer-CTC"} | Namkoy/Conformer_CTC_Vi | null | [
"nemo",
"vi",
"base_model:Conformer-CTC",
"license:apache-2.0",
"region:us"
] | null | 2024-04-23T13:33:32+00:00 | [] | [
"vi"
] | TAGS
#nemo #vi #base_model-Conformer-CTC #license-apache-2.0 #region-us
|
# Conformer_CTC_vi
This model is a training version of Conformer-CTC model on the VinBigdata dataset.
It achieves the following results on the evaluation set:
## Training and evaluation data
-Training loss:
!image/png
- WER = 0.094
!image/png
### Training hyperparameters
The following hyperparameters were u... | [
"# Conformer_CTC_vi\n\nThis model is a training version of Conformer-CTC model on the VinBigdata dataset.\nIt achieves the following results on the evaluation set:",
"## Training and evaluation data\n-Training loss:\n\n!image/png\n\n- WER = 0.094\n\n!image/png",
"### Training hyperparameters\n\nThe following hy... | [
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null | transformers |
# Uploaded model
- **Developed by:** akbargherbal
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | akbargherbal/think_tanks_v01_lora | null | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"llama",
"trl",
"en",
"base_model:unsloth/llama-3-8b-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T13:33:46+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #text-generation-inference #unsloth #llama #trl #en #base_model-unsloth/llama-3-8b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: akbargherbal
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: akbargherbal\n- License: apache-2.0\n- Finetuned from model : unsloth/llama-3-8b-bnb-4bit\n\nThis llama model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | TinyPixel/l3-r | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-23T13:33:58+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg", "base_mo... | PrunaAI/facebook-opt-125m-AWQ-4bit-smashed | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-23T13:36:41+00:00 | [] | [] | TAGS
#transformers #safetensors #opt #text-generation #pruna-ai #base_model-facebook/opt-125m #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#transformers #safetensors #opt #text-generation #pruna-ai #base_model-facebook/opt-125m #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
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"TAGS\n#transformers #safetensors #opt #text-generation #pruna-ai #base_model-facebook/opt-125m #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and te... |
null | transformers |
# Anoxiom/llama-3-dragon-bophades-8B-Q6_K-GGUF
This model was converted to GGUF format from [`nbeerbower/llama-3-dragon-bophades-8B`](https://huggingface.co/nbeerbower/llama-3-dragon-bophades-8B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["mlabonne/ChimeraLlama-3-8B", "abacusai/Llama-3-Smaug-8B", "vicgalle/Unsafe-Llama-3-8B", "nbeerbower/llama-3-aura-bophades-8B", "mlabonne/OrpoLlama-3-8B", "cloudyu/Meta-Llama-3-8B-Instruct-DPO"]} | Anoxiom/llama-3-dragon-bophades-8B-Q6_K-GGUF | null | [
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"mergekit",
"merge",
"llama-cpp",
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"base_mode... | null | 2024-04-23T13:39:41+00:00 | [] | [] | TAGS
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# Anoxiom/llama-3-dragon-bophades-8B-Q6_K-GGUF
This model was converted to GGUF format from 'nbeerbower/llama-3-dragon-bophades-8B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
... | [
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | adperem/futurama | null | [
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|
# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the documentation here)!
2. Create a demo in Gradio or Streamlit using Spaces (documentation here).
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0422MADP4D
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown datase... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0422MADP4D", "results": []}]} | Litzy619/V0422MADP4D | null | [
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"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
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#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0422MADP4D
===========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0593
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ne... | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0422MADP2D
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown datase... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0422MADP2D", "results": []}]} | Litzy619/V0422MADP2D | null | [
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#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0422MADP2D
===========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
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* Loss: 0.0594
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ne... | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0422MADP6D
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown datase... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0422MADP6D", "results": []}]} | Litzy619/V0422MADP6D | null | [
"safetensors",
"generated_from_trainer",
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"license:mit",
"region:us"
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#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0422MADP6D
===========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0573
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ne... | [
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text-generation | transformers | # nbeerbower/llama-3-dragon-bophades-8B AWQ
- Model creator: [nbeerbower](https://huggingface.co/nbeerbower)
- Original model: [llama-3-dragon-bophades-8B](https://huggingface.co/nbeerbower/llama-3-dragon-bophades-8B)
## How to use
### Install the necessary packages
```bash
pip install --upgrade autoawq autoawq-k... | {"library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/llama-3-dragon-bophades-8B-AWQ | null | [
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#transformers #safetensors #llama #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #conversational #text-generation-inference #region-us
| # nbeerbower/llama-3-dragon-bophades-8B AWQ
- Model creator: nbeerbower
- Original model: llama-3-dragon-bophades-8B
## How to use
### Install the necessary packages
### Example Python code
### About AWQ
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0422MADP8D
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown datase... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0422MADP8D", "results": []}]} | Litzy619/V0422MADP8D | null | [
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#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0422MADP8D
===========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
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* Loss: 0.0609
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ne... | [
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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": []} | avemio-digital/Sauwerkrot_Llama3_test | null | [
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text-generation | transformers |
# Mistral-LM-Beta-Slerp
Mistral-LM-Beta-Slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [timpal0l/Mistral-7B-v0.1-flashback-v2](https://huggingface.co/timpal0l/Mistral-7B-v0.1-flashback-v2)
* [Nexusflow/Starling-LM... | {"tags": ["merge", "mergekit", "lazymergekit", "timpal0l/Mistral-7B-v0.1-flashback-v2", "Nexusflow/Starling-LM-7B-beta"], "base_model": ["timpal0l/Mistral-7B-v0.1-flashback-v2", "Nexusflow/Starling-LM-7B-beta"]} | Knobi3/Mistral-LM-Beta-Slerp | null | [
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# Mistral-LM-Beta-Slerp
Mistral-LM-Beta-Slerp is a merge of the following models using LazyMergekit:
* timpal0l/Mistral-7B-v0.1-flashback-v2
* Nexusflow/Starling-LM-7B-beta
## Configuration
## Usage
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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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. -->
# BioNLP-tech_ner-eLife
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "BioNLP-tech_ner-eLife", "results": []}]} | dtorber/BioNLP-tech_ner-eLife | null | [
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] | null | 2024-04-23T13:46:00+00:00 | [] | [] | TAGS
#transformers #safetensors #led #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us
|
# BioNLP-tech_ner-eLife
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyp... | [
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text-generation | transformers | # Weyaxi/Einstein-v6.1-Llama3-8B AWQ
- Model creator: [Weyaxi](https://huggingface.co/Weyaxi)
- Original model: [Einstein-v6.1-Llama3-8B](https://huggingface.co/Weyaxi/Einstein-v6.1-Llama3-8B)
## Mo... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["axolotl", "generated_from_trainer", "instruct", "finetune", "chatml", "gpt4", "synthetic data", "science", "physics", "chemistry", "biology", "math", "llama", "llama3", "4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoint... | solidrust/Einstein-v6.1-Llama3-8B-AWQ | null | [
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"llama",
"text-generation",
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"synthetic data",
"science",
"physics",
"chemistry",
"biology",
"math",
"llama3",
"4-bit",
"AWQ",
"autotrain_compatible",
"endpoints_compa... | null | 2024-04-23T13:47:08+00:00 | [] | [
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#transformers #safetensors #llama #text-generation #axolotl #generated_from_trainer #instruct #finetune #chatml #gpt4 #synthetic data #science #physics #chemistry #biology #math #llama3 #4-bit #AWQ #autotrain_compatible #endpoints_compatible #conversational #en #dataset-allenai/ai2_arc #dataset-camel-ai/physics #d... | # Weyaxi/Einstein-v6.1-Llama3-8B AWQ
- Model creator: Weyaxi
- Original model: Einstein-v6.1-Llama3-8B
!image/png
## Model Summary
This model is a full fine-tuned version of meta-llama/Meta-Llama-3-8B on diverse datasets.
This model is finetuned using '8xRTX3090' + '1xRTXA6000' using axolotl.
This model's trainin... | [
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"## Model Summary\n\nThis model is a full fine-tuned version of meta-llama/Meta-Llama-3-8B on diverse datasets.\n\nThis model is finetuned using '8xRTX3090' + '1xRTXA6000' using axolotl.\n\n... | [
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text-to-speech | zho-tts |
Code is hosted on GitHub: [stefantaubert/zh-tts](https://github.com/stefantaubert/zh-tts) | {"language": ["en", "zh"], "license": "mit", "library_name": "zho-tts", "tags": ["speech synthesis", "text-to-speech", "speech generation", "Chinese", "lingustics", "Tacotron", "WaveGlow"]} | stefantaubert/zho-tts | null | [
"zho-tts",
"speech synthesis",
"text-to-speech",
"speech generation",
"Chinese",
"lingustics",
"Tacotron",
"WaveGlow",
"en",
"zh",
"license:mit",
"has_space",
"region:us"
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"en",
"zh"
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#zho-tts #speech synthesis #text-to-speech #speech generation #Chinese #lingustics #Tacotron #WaveGlow #en #zh #license-mit #has_space #region-us
|
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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... | miemiemi/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-23T13:47:47+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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] |
text-generation | transformers |
> [!IMPORTANT]
> Check for [ChaoticSoliloquy-v1.5-4x8B](https://huggingface.co/xxx777xxxASD/L3-ChaoticSoliloquy-v1.5-4x8B)
Experimental RP-oriented MoE, the idea was to get a model that would be e... | {"language": ["en"], "license": "llama3", "tags": ["moe"]} | xxx777xxxASD/ChaoticSoliloquy-4x8B | null | [
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"safetensors",
"mixtral",
"text-generation",
"moe",
"conversational",
"en",
"license:llama3",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-23T13:47:59+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mixtral #text-generation #moe #conversational #en #license-llama3 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
!image/png
> [!IMPORTANT]
> Check for ChaoticSoliloquy-v1.5-4x8B
Experimental RP-oriented MoE, the idea was to get a model that would be equal to or better than the Mixtral 8x7B and it's finetunes in RP/ERP tasks.
GGUF, Exl2
### Llama 3 ChaoticSoliloquy-4x8B
## Models used
- ChaoticNeutrals/Poppy_Porpoise-v0.... | [
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"## Models used\n\n- ChaoticNeutrals/Poppy_Porpoise-v0.6-L3-8B\n- jeiku/Chaos_RP_l3_8B\n- openlynn/Llama-3-Soliloquy-8B\n- Sao10K/L3-Solana-8B-v1",
"## Vision\n\nllama3_mmproj\n\n!image/png",
"## Prompt format: Llama 3"
] | [
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"## Models used\n\n- ChaoticNeutrals/Poppy_Porpoise-v0.6-L3-8B\n- jeiku/Chaos_RP_l3_8B\... | [
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null | null | # Medquad Llama-3 8B GGUF
## License
This model is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License, under [META LLAMA 3 COMMUNITY LICENSE AGREEMENT](https://llama.meta.com/llama3/license/)
If you would like to use this model for commercial purposes, please ... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "medical"], "datasets": ["Shekswess/llama2_medquad_instruct_dataset"], "license_name": "llama3"} | hwonheo/Llama-3-medquad-8B-GGUF | null | [
"gguf",
"facebook",
"meta",
"pytorch",
"llama",
"llama-3",
"medical",
"en",
"dataset:Shekswess/llama2_medquad_instruct_dataset",
"license:other",
"region:us"
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"en"
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#gguf #facebook #meta #pytorch #llama #llama-3 #medical #en #dataset-Shekswess/llama2_medquad_instruct_dataset #license-other #region-us
| # Medquad Llama-3 8B GGUF
## License
This model is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License, under META LLAMA 3 COMMUNITY LICENSE AGREEMENT
If you would like to use this model for commercial purposes, please use our proprietary API. (Currently avilab... | [
"# Medquad Llama-3 8B GGUF",
"## License\n\nThis model is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License, under META LLAMA 3 COMMUNITY LICENSE AGREEMENT\n\nIf you would like to use this model for commercial purposes, please use our proprietary API. (Curre... | [
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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. -->
# my_awesome_asr_mind_model
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["minds14"], "metrics": ["wer"], "model-index": [{"name": "my_awesome_asr_mind_model", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "minds14", "type": "minds14", "confi... | tina2900/my_awesome_asr_mind_model | null | [
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"automatic-speech-recognition",
"generated_from_trainer",
"dataset:minds14",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T13:49:29+00:00 | [] | [] | TAGS
#transformers #pytorch #wav2vec2 #automatic-speech-recognition #generated_from_trainer #dataset-minds14 #license-apache-2.0 #model-index #endpoints_compatible #region-us
| my\_awesome\_asr\_mind\_model
=============================
This model is a fine-tuned version of facebook/wav2vec2-base on the minds14 dataset.
It achieves the following results on the evaluation set:
* Loss: 2.9202
* Wer: 1.0
Model description
-----------------
More information needed
Intended uses & limita... | [
"### 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* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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text-generation | transformers |
# Model Card for Model ID
MTG Llama is a QLoRA fine-tuned Llama 3 model on the [MTG Eval](https://huggingface.co/datasets/jakeboggs/MTG-Eval) dataset.
## 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 pus... | {"library_name": "transformers", "datasets": ["jakeboggs/MTG-Eval"]} | jakeboggs/MTG-Llama | null | [
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#transformers #safetensors #llama #text-generation #conversational #dataset-jakeboggs/MTG-Eval #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
MTG Llama is a QLoRA fine-tuned Llama 3 model on the MTG Eval dataset.
## 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: Jake Boggs
- Model type:
- L... | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# Textual inversion text2image fine-tuning - ahowe29/textual_inversion_katara
These are textual inversion adaption weights... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "textual_inversion", "diffusers-training"], "base_model": "runwayml/stable-diffusion-v1-5", "inference": true} | ahowe29/textual_inversion_katara | null | [
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... | null | 2024-04-23T13:50:42+00:00 | [] | [] | TAGS
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|
# Textual inversion text2image fine-tuning - ahowe29/textual_inversion_katara
These are textual inversion adaption weights for runwayml/stable-diffusion-v1-5. You can find some example images in the following.
!img_0
!img_1
!img_2
!img_3
## Intended uses & limitations
#### How to use
#### Limitations and b... | [
"# Textual inversion text2image fine-tuning - ahowe29/textual_inversion_katara\nThese are textual inversion adaption weights for runwayml/stable-diffusion-v1-5. You can find some example images in the following. \n\n!img_0\n!img_1\n!img_2\n!img_3",
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null | null |
# Anoxiom/Scarlett-Llama-3-8B-Q6_K-GGUF
This model was converted to GGUF format from [`ajibawa-2023/Scarlett-Llama-3-8B`](https://huggingface.co/ajibawa-2023/Scarlett-Llama-3-8B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model ca... | {"language": ["en"], "license": "other", "tags": ["art", "philosophy", "romance", "jokes", "advice", "code", "llama-cpp", "gguf-my-repo"], "license_name": "llama3", "license_link": "LICENSE", "model-index": [{"name": "Scarlett-Llama-3-8B", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "da... | Anoxiom/Scarlett-Llama-3-8B-Q6_K-GGUF | null | [
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"model-index",
"region:us"
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"en"
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#gguf #art #philosophy #romance #jokes #advice #code #llama-cpp #gguf-my-repo #en #license-other #model-index #region-us
|
# Anoxiom/Scarlett-Llama-3-8B-Q6_K-GGUF
This model was converted to GGUF format from 'ajibawa-2023/Scarlett-Llama-3-8B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Ser... | [
"# Anoxiom/Scarlett-Llama-3-8B-Q6_K-GGUF\nThis model was converted to GGUF format from 'ajibawa-2023/Scarlett-Llama-3-8B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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text-generation | transformers |
# 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": []} | nmdr/Llama-2-7B-Instruct-Physics-1k-Baymax30 | null | [
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# Model Card for Model ID
## Model Details
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text-classification | setfit |
# SetFit with sentence-transformers/paraphrase-mpnet-base-v2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [sentence-transformers/paraphrase-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-mpnet-base-v2) as the S... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "sentence-transformers/paraphrase-mpnet-base-v2", "widget": [], "pipeline_tag": "text-classification", "inference": true} | dendimaki/few-shots-apeiron-model-v2 | null | [
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# SetFit with sentence-transformers/paraphrase-mpnet-base-v2
This is a SetFit model that can be used for Text Classification. This SetFit model uses sentence-transformers/paraphrase-mpnet-base-v2 as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification.
The model has been... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | dawidmt/injection-xlm-roberta | null | [
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## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | # haqishen-Llama-3-8B-Japanese-Instruct-gguf
[haqishenさんが公開しているLlama-3-8B-Japanese-Instruct](https://huggingface.co/haqishen/Llama-3-8B-Japanese-Instruct)のggufフォーマット変換版です。
imatrixのデータは[TFMC/imatrix-dataset-for-japanese-llm](https://huggingface.co/datasets/TFMC/imatrix-dataset-for-japanese-llm)を使用して作成しました。
## 他のモデル... | {"language": ["en", "ja"], "license": "llama3", "tags": ["llama3"], "datasets": ["TFMC/imatrix-dataset-for-japanese-llm"]} | mmnga/haqishen-Llama-3-8B-Japanese-Instruct-gguf | null | [
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#gguf #llama3 #en #ja #dataset-TFMC/imatrix-dataset-for-japanese-llm #license-llama3 #region-us
| # haqishen-Llama-3-8B-Japanese-Instruct-gguf
haqishenさんが公開しているLlama-3-8B-Japanese-Instructのggufフォーマット変換版です。
imatrixのデータはTFMC/imatrix-dataset-for-japanese-llmを使用して作成しました。
## 他のモデル
mmnga/haqishen-Llama-3-8B-Japanese-Instruct-gguf
## 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": []} | Likich/beluga-finetune-qualcoding | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Mo... | {} | hsmjpg/motion-lora-7sm | null | [
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This modelcard aims to be a base template for new models. It has been generated using this raw template.
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multiple-choice | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# NLPGroupProject-Finetune-DistilBert
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingfa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "NLPGroupProject-Finetune-DistilBert", "results": []}]} | BenjaminTT/NLPGroupProject-Finetune-DistilBert | null | [
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| NLPGroupProject-Finetune-DistilBert
===================================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1391
* Accuracy: 0.723
Model description
-----------------
More information 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.
| **Repository (Llama 3 Family)** | **Avg Acc.** | **OpenB... | {"license": "apache-2.0"} | GreenBitAI/Llama-3-8B-layer-mix-bpw-2.2-mlx | null | [
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| 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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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | nqv2291/sft-mT5_large-Pile-NER | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results_1K
This model is a fine-tuned version of [google-bert/bert-large-cased](https://huggingface.co/google-bert/bert-large-ca... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google-bert/bert-large-cased", "model-index": [{"name": "results_1K", "results": []}]} | Elkelouizajo/bert_mnli_1K | null | [
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|
# results_1K
This model is a fine-tuned version of google-bert/bert-large-cased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameter... | [
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text-generation | transformers | # Antler-7B-Novel-Writing
[GGUF版はこちら/Click here for the GGUF version](https://huggingface.co/Aratako/Antler-7B-Novel-Writing-GGUF)
## 概要
[Elizezen/Antler-7B](https://huggingface.co/Elizezen/Antler-7B)をベースに、小説生成用のinstruction tuningを施したモデルです。
ジャンルやクオリティ、キーワードや年齢区分を指定すると、それに従った小説を生成するようにinstruction tuningしています。
## プロン... | {"language": ["ja"], "license": "apache-2.0", "library_name": "transformers", "tags": ["not-for-all-audiences", "nsfw"], "datasets": ["Aratako/Syosetu711K-Cleaned-158K-Instruct"], "base_model": ["Elizezen/Antler-7B"]} | Aratako/Antler-7B-Novel-Writing | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"not-for-all-audiences",
"nsfw",
"ja",
"dataset:Aratako/Syosetu711K-Cleaned-158K-Instruct",
"base_model:Elizezen/Antler-7B",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-infe... | null | 2024-04-23T13:57:44+00:00 | [] | [
"ja"
] | TAGS
#transformers #safetensors #mistral #text-generation #not-for-all-audiences #nsfw #ja #dataset-Aratako/Syosetu711K-Cleaned-158K-Instruct #base_model-Elizezen/Antler-7B #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us
| # Antler-7B-Novel-Writing
GGUF版はこちら/Click here for the GGUF version
## 概要
Elizezen/Antler-7Bをベースに、小説生成用のinstruction tuningを施したモデルです。
ジャンルやクオリティ、キーワードや年齢区分を指定すると、それに従った小説を生成するようにinstruction tuningしています。
## プロンプトフォーマット
Mistralのchat templateを利用してください。また、学習に利用したデータのフォーマットの関係上、以下のような形式が望ましいと思われます。
### 実例
入力
出力
上... | [
"# Antler-7B-Novel-Writing\nGGUF版はこちら/Click here for the GGUF version",
"## 概要\n\nElizezen/Antler-7Bをベースに、小説生成用のinstruction tuningを施したモデルです。\n\nジャンルやクオリティ、キーワードや年齢区分を指定すると、それに従った小説を生成するようにinstruction tuningしています。",
"## プロンプトフォーマット\nMistralのchat templateを利用してください。また、学習に利用したデータのフォーマットの関係上、以下のような形式が望ましいと思われます。",
... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #not-for-all-audiences #nsfw #ja #dataset-Aratako/Syosetu711K-Cleaned-158K-Instruct #base_model-Elizezen/Antler-7B #license-apache-2.0 #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us \n",
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-G1
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-unca... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-G1", "results": []}]} | ChakuChidiya/distilbert-base-uncased-G1 | null | [
"transformers",
"tf",
"distilbert",
"token-classification",
"generated_from_keras_callback",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T13:59:59+00:00 | [] | [] | TAGS
#transformers #tf #distilbert #token-classification #generated_from_keras_callback #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-uncased-G1
==========================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.1913
* Validation Loss: 0.3219
* Epoch: 2
Model description
-----------------
More information neede... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': {'module': 'keras.optimizers.schedules', 'class\\_name': 'PolynomialDecay', 'config': {'initial\\_learning\\_rate': 4e-05, 'decay\\_steps': 2205, 'end\\_learni... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-7b-hf"} | cgihlstorf/NEW_finetuned_llama27b32_1_0.0003_alternate | null | [
"peft",
"arxiv:1910.09700",
"base_model:meta-llama/Llama-2-7b-hf",
"region:us"
] | null | 2024-04-23T14:02:03+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #arxiv-1910.09700 #base_model-meta-llama/Llama-2-7b-hf #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
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null | transformers |
# Anoxiom/llama-3-8b-Q6_K-GGUF
This model was converted to GGUF format from [`unsloth/llama-3-8b`](https://huggingface.co/unsloth/llama-3-8b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/unsloth/ll... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["unsloth", "transformers", "llama", "llama-3", "llama-cpp", "gguf-my-repo"]} | Anoxiom/llama-3-8b-Q6_K-GGUF | null | [
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"llama",
"llama-3",
"llama-cpp",
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"en",
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"endpoints_compatible",
"region:us"
] | null | 2024-04-23T14:05:05+00:00 | [] | [
"en"
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#transformers #gguf #unsloth #llama #llama-3 #llama-cpp #gguf-my-repo #en #license-llama2 #endpoints_compatible #region-us
|
# Anoxiom/llama-3-8b-Q6_K-GGUF
This model was converted to GGUF format from 'unsloth/llama-3-8b' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: You can a... | [
"# Anoxiom/llama-3-8b-Q6_K-GGUF\nThis model was converted to GGUF format from 'unsloth/llama-3-8b' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Meta-Llama-3-8B"} | hamxea/Meta-Llama-3-8B-activity-fine-tuned-adapters-v4 | null | [
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"region:us"
] | null | 2024-04-23T14:06:27+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #arxiv-1910.09700 #base_model-meta-llama/Meta-Llama-3-8B #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]:
#... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\n\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s) (NLP): \n- License: \n- Finetuned from model [optional]:",
"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
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"# Model Card for Model ID",
"## Model Details",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Elizezen/Omnia-2x7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a we... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["japanese", "text-generation-inference"], "base_model": "Elizezen/Omnia-2x7B", "quantized_by": "mradermacher"} | mradermacher/Omnia-2x7B-GGUF | null | [
"transformers",
"gguf",
"japanese",
"text-generation-inference",
"en",
"base_model:Elizezen/Omnia-2x7B",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T14:06:48+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #japanese #text-generation-inference #en #base_model-Elizezen/Omnia-2x7B #license-cc-by-nc-4.0 #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... | [] | [
"TAGS\n#transformers #gguf #japanese #text-generation-inference #en #base_model-Elizezen/Omnia-2x7B #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n"
] | [
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] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/NotAiLOL/Boundary-Coder-Yi-2x9B-MoE
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "merge", "mergekit", "01-ai/Yi-9B-200K", "TechxGenus/Yi-9B-Coder"], "base_model": "NotAiLOL/Boundary-Coder-Yi-2x9B-MoE", "quantized_by": "mradermacher"} | mradermacher/Boundary-Coder-Yi-2x9B-MoE-GGUF | null | [
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"01-ai/Yi-9B-200K",
"TechxGenus/Yi-9B-Coder",
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"base_model:NotAiLOL/Boundary-Coder-Yi-2x9B-MoE",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T14:06:48+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #moe #merge #mergekit #01-ai/Yi-9B-200K #TechxGenus/Yi-9B-Coder #en #base_model-NotAiLOL/Boundary-Coder-Yi-2x9B-MoE #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... | [] | [
"TAGS\n#transformers #gguf #moe #merge #mergekit #01-ai/Yi-9B-200K #TechxGenus/Yi-9B-Coder #en #base_model-NotAiLOL/Boundary-Coder-Yi-2x9B-MoE #license-apache-2.0 #endpoints_compatible #region-us \n"
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] |
text-to-image | diffusers | ### CUHKSZ-new-library on Stable Diffusion via Dreambooth
#### model by HenryZeng
This your the Stable Diffusion model fine-tuned the CUHKSZ-new-library concept taught to Stable Diffusion with Dreambooth.
It can be used by modifying the `instance_prompt`: **<new library> building**
You can also train your own concepts... | {"license": "creativeml-openrail-m", "tags": ["text-to-image"]} | HenryZeng/cuhksz-new-library | null | [
"diffusers",
"safetensors",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-23T14:06:52+00:00 | [] | [] | TAGS
#diffusers #safetensors #text-to-image #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| ### CUHKSZ-new-library on Stable Diffusion via Dreambooth
#### model by HenryZeng
This your the Stable Diffusion model fine-tuned the CUHKSZ-new-library concept taught to Stable Diffusion with Dreambooth.
It can be used by modifying the 'instance_prompt': <new library> building
You can also train your own concepts and... | [
"### CUHKSZ-new-library on Stable Diffusion via Dreambooth",
"#### model by HenryZeng\nThis your the Stable Diffusion model fine-tuned the CUHKSZ-new-library concept taught to Stable Diffusion with Dreambooth.\nIt can be used by modifying the 'instance_prompt': <new library> building\n\nYou can also train your ow... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-base-patch4-window7-224-in22k-Kontur-competition-1.4K
This model is a fine-tuned version of [microsoft/swin-base-patch4-win... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "microsoft/swin-base-patch4-window7-224-in22k", "model-index": [{"name": "swin-base-patch4-window7-224-in22k-Kontur-competition-1.4K", "results": []}]} | t1msan/swin-base-patch4-window7-224-in22k-Kontur-competition-1.4K | null | [
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"tensorboard",
"safetensors",
"swin",
"image-classification",
"generated_from_trainer",
"dataset:imagefolder",
"base_model:microsoft/swin-base-patch4-window7-224-in22k",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T14:07:25+00:00 | [] | [] | TAGS
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| swin-base-patch4-window7-224-in22k-Kontur-competition-1.4K
==========================================================
This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224-in22k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0062
Model descrip... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 256\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
"TAGS\n#transformers #tensorboard #safetensors #swin #image-classification #generated_from_trainer #dataset-imagefolder #base_model-microsoft/swin-base-patch4-window7-224-in22k #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
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null | transformers |
# Anoxiom/llama-3-8b-Instruct-Q6_K-GGUF
This model was converted to GGUF format from [`unsloth/llama-3-8b-Instruct`](https://huggingface.co/unsloth/llama-3-8b-Instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https:... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["unsloth", "transformers", "llama", "llama-3", "llama-cpp", "gguf-my-repo"]} | Anoxiom/llama-3-8b-Instruct-Q6_K-GGUF | null | [
"transformers",
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"gguf-my-repo",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
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"en"
] | TAGS
#transformers #gguf #unsloth #llama #llama-3 #llama-cpp #gguf-my-repo #en #license-apache-2.0 #endpoints_compatible #region-us
|
# Anoxiom/llama-3-8b-Instruct-Q6_K-GGUF
This model was converted to GGUF format from 'unsloth/llama-3-8b-Instruct' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
"# Anoxiom/llama-3-8b-Instruct-Q6_K-GGUF\nThis model was converted to GGUF format from 'unsloth/llama-3-8b-Instruct' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n... | [
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null | null |
<div style="background-color: #ffffff; color: #ff0000; padding: 0px; text-align: left; font-size: 24px; font-weight: bold;">
Please use the updated version 2 model at <a href="https://huggingface.co/LoupGarou/deepseek-coder-6.7b-instruct-pythagora-v2-gguf" style="color: #ff0000;">LoupGarou/deepseek-coder-6.7b-instru... | {} | LoupGarou/deepseek-coder-6.7b-instruct-pythagora-gguf | null | [
"gguf",
"region:us"
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#gguf #region-us
|
<div style="background-color: #ffffff; color: #ff0000; padding: 0px; text-align: left; font-size: 24px; font-weight: bold;">
Please use the updated version 2 model at <a href="URL style="color: #ff0000;">LoupGarou/deepseek-coder-6.7b-instruct-pythagora-v2-gguf</a>
</div>
# Model Card for deepseek-coder-6.7b-instruc... | [
"# Model Card for deepseek-coder-6.7b-instruct-pythagora\n\nThis model card describes the deepseek-coder-6.7b-instruct-pythagora model, which is a fine-tuned version of the DeepSeek Coder 6.7B Instruct model, specifically optimized for use with the Pythagora GPT Pilot application.",
"## Model Details",
"### Mod... | [
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null | transformers |
# Uploaded model
- **Developed by:** K00B404
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | K00B404/llama3_8B_lora | null | [
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# Uploaded model
- Developed by: K00B404
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | null |
# Anoxiom/Sujet-Finance-8B-v0.1-Q6_K-GGUF
This model was converted to GGUF format from [`sujet-ai/Sujet-Finance-8B-v0.1`](https://huggingface.co/sujet-ai/Sujet-Finance-8B-v0.1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card... | {"language": ["en"], "license": "apache-2.0", "tags": ["finance", "topic classification", "sentiment analysis", "qa", "llama-cpp", "gguf-my-repo"], "datasets": ["sujet-ai/Sujet-Finance-Instruct-177k"], "metrics": ["accuracy"], "pipeline_tag": "text-generation"} | Anoxiom/Sujet-Finance-8B-v0.1-Q6_K-GGUF | null | [
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"en",
"dataset:sujet-ai/Sujet-Finance-Instruct-177k",
"license:apache-2.0",
"region:us"
] | null | 2024-04-23T14:11:21+00:00 | [] | [
"en"
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|
# Anoxiom/Sujet-Finance-8B-v0.1-Q6_K-GGUF
This model was converted to GGUF format from 'sujet-ai/Sujet-Finance-8B-v0.1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Ser... | [
"# Anoxiom/Sujet-Finance-8B-v0.1-Q6_K-GGUF\nThis model was converted to GGUF format from 'sujet-ai/Sujet-Finance-8B-v0.1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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null | peft |
# 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": "NinedayWang/PolyCoder-2.7B"} | mingyue0101/polycoder-model | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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multiple-choice | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# NLPGroupProject-Finetune-Bert
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/googl... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "NLPGroupProject-Finetune-Bert", "results": []}]} | BenjaminTT/NLPGroupProject-Finetune-Bert | null | [
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| NLPGroupProject-Finetune-Bert
=============================
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2570
* Accuracy: 0.716
Model description
-----------------
More information needed
Intended ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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text-generation | transformers |
# 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": []} | Grayx/sad_llama_35 | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_Aleatoric_tiny_0.2_Seed102 | null | [
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## Model Details
### Model Description
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_Aleatoric_tiny_0.2_Seed102 | null | [
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### Model Description
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text-generation | transformers | # ResplendentAI/Kei_Llama3_8B AWQ
- Model creator: [ResplendentAI](https://huggingface.co/ResplendentAI)
- Original model: [Kei_Llama3_8B](https://huggingface.co/ResplendentAI/Kei_Llama3_8B)
## Mode... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "base_model": ["jeiku/Chaos_RP_l3_8B", "ResplendentAI/BlueMoon_Llama3", "jeiku/Chaos_RP_l3_8B", "ResplendentAI/Luna_Llama3", "jeiku/Chaos_RP_l3_8B", ... | solidrust/Kei_Llama3_8B-AWQ | null | [
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"conversational",
"en",
"base_model:jeiku/Chaos_RP_l3_8B",
"license:apache-2.0",
"text-generation-inference",
"region:us"
] | null | 2024-04-23T14:14:55+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #conversational #en #base_model-jeiku/Chaos_RP_l3_8B #license-apache-2.0 #text-generation-inference #region-us
| # ResplendentAI/Kei_Llama3_8B AWQ
- Model creator: ResplendentAI
- Original model: Kei_Llama3_8B
!image/png
## Model Summary
The key to your heart rests with Kei, a sophisticated and intriguing AI creation who will hold your hand until the end of all things.
Kei is uncensored and tuned for intimate moments with pr... | [
"# ResplendentAI/Kei_Llama3_8B AWQ\n\n- Model creator: ResplendentAI\n- Original model: Kei_Llama3_8B\n\n!image/png",
"## Model Summary\n\nThe key to your heart rests with Kei, a sophisticated and intriguing AI creation who will hold your hand until the end of all things.\n\nKei is uncensored and tuned for intima... | [
"TAGS\n#transformers #safetensors #llama #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #conversational #en #base_model-jeiku/Chaos_RP_l3_8B #license-apache-2.0 #text-generation-inference #region-us \n",
"# ResplendentAI/Kei_Llama3_8B AWQ\n\n- Model creator: ResplendentAI\n- Original mod... | [
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text-generation | transformers | Bombus_3x8B is a Mixture of Experts (MoE) (Llama-3).
## Usage
```python
!pip install -qU transformers bitsandbytes accelerate
from transformers import AutoTokenizer, AutoModelForCausalLM
import transformers
import torch
model_id = "Eurdem/Bombus_3x8B"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = Aut... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "merge", "llama-3"], "pipeline_tag": "text-generation"} | Eurdem/Bombus_3x8B | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"moe",
"merge",
"llama-3",
"conversational",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-23T14:16:02+00:00 | [] | [
"en"
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#transformers #safetensors #mixtral #text-generation #moe #merge #llama-3 #conversational #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Bombus_3x8B is a Mixture of Experts (MoE) (Llama-3).
## Usage
| [
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] |
null | null | # alfredplpl-Llama-3-8B-Instruct-Ja-gguf
[alfredplplさんが公開しているLlama-3-8B-Instruct-Ja](https://huggingface.co/alfredplpl/Llama-3-8B-Instruct-Ja)のggufフォーマット変換版です。
imatrixのデータは[TFMC/imatrix-dataset-for-japanese-llm](https://huggingface.co/datasets/TFMC/imatrix-dataset-for-japanese-llm)を使用して作成しました。
## 他のモデル
[mmnga/alfr... | {"language": ["en", "ja"], "license": "llama3", "tags": ["llama3"], "datasets": ["TFMC/imatrix-dataset-for-japanese-llm"]} | mmnga/alfredplpl-Llama-3-8B-Instruct-Ja-gguf | null | [
"gguf",
"llama3",
"en",
"ja",
"dataset:TFMC/imatrix-dataset-for-japanese-llm",
"license:llama3",
"region:us"
] | null | 2024-04-23T14:18:57+00:00 | [] | [
"en",
"ja"
] | TAGS
#gguf #llama3 #en #ja #dataset-TFMC/imatrix-dataset-for-japanese-llm #license-llama3 #region-us
| # alfredplpl-Llama-3-8B-Instruct-Ja-gguf
alfredplplさんが公開しているLlama-3-8B-Instruct-Jaのggufフォーマット変換版です。
imatrixのデータはTFMC/imatrix-dataset-for-japanese-llmを使用して作成しました。
## 他のモデル
mmnga/alfredplpl-Llama-3-8B-Instruct-Ja-gguf
mmnga/alfredplpl-suzume-poc-gguf
mmnga/alfredplpl-gemma-2b-it-ja-poc-gguf
## Usage
| [
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"## 他のモデル\nmmnga/alfredplpl-Llama-3-8B-Instruct-Ja-gguf \nmmnga/alfredplpl-suzume-poc-gguf \nmmnga/alfredplpl-gemma-2b-it-ja-poc-gguf",
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"## 他のモデル\nmmnga/alfredplpl-Llama-... | [
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fill-mask | 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-imdb
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-imdb", "results": []}]} | aliekens/distilbert-base-uncased-finetuned-imdb | null | [
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"autotrain_compatible",
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"region:us"
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#transformers #safetensors #distilbert #fill-mask #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-uncased-finetuned-imdb
======================================
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: 2.4892
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: 64\n* eval\\_batch\\_size: 64\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
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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. -->
# acoustic_model2_cv_17_fr_XLSR-53
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/... | {"language": ["fr"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_17_0"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-large-xlsr-53", "model-index": [{"name": "acoustic_model2_cv_17_fr_XLSR-53", "results": [{"task": {"type": "automatic-speech-recogn... | SemValX/wav2vec2-large-xlsr-53-fr-colab | null | [
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"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T14:21:49+00:00 | [] | [
"fr"
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| acoustic\_model2\_cv\_17\_fr\_XLSR-53
=====================================
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the Common Voice 17 dataset.
It achieves the following results on the evaluation set:
* Loss: nan
* Wer: 0.9923
Model description
-----------------
More informatio... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon... | [
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null | 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": []} | tarekfer8/bloom-1b7-lora-DJEZYY | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T14:23:58+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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multiple-choice | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# NLPGroupProject-Finetune-BioBert
This model is a fine-tuned version of [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/b... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "dmis-lab/biobert-v1.1", "model-index": [{"name": "NLPGroupProject-Finetune-BioBert", "results": []}]} | BenjaminTT/NLPGroupProject-Finetune-BioBert | null | [
"transformers",
"safetensors",
"bert",
"multiple-choice",
"generated_from_trainer",
"base_model:dmis-lab/biobert-v1.1",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T14:24:07+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #multiple-choice #generated_from_trainer #base_model-dmis-lab/biobert-v1.1 #endpoints_compatible #region-us
| NLPGroupProject-Finetune-BioBert
================================
This model is a fine-tuned version of dmis-lab/biobert-v1.1 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3977
* Accuracy: 0.717
Model description
-----------------
More information needed
Intended us... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="ImenMasmoudiEm/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additio... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | ImenMasmoudiEm/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-23T14:24:08+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
null | mlx |
# GreenBitAI/Llama-3-8B-layer-mix-bpw-3.0-mlx
This quantized low-bit model was converted to MLX format from [`GreenBitAI/Llama-3-8B-layer-mix-bpw-3.0`]().
Refer to the [original model card](https://huggingface.co/GreenBitAI/Llama-3-8B-layer-mix-bpw-3.0) for more details on the model.
## Use with mlx
```bash
pip insta... | {"license": "apache-2.0", "tags": ["mlx"]} | GreenBitAI/Llama-3-8B-layer-mix-bpw-3.0-mlx | null | [
"mlx",
"safetensors",
"llama",
"license:apache-2.0",
"region:us"
] | null | 2024-04-23T14:24:15+00:00 | [] | [] | TAGS
#mlx #safetensors #llama #license-apache-2.0 #region-us
|
# GreenBitAI/Llama-3-8B-layer-mix-bpw-3.0-mlx
This quantized low-bit model was converted to MLX format from ['GreenBitAI/Llama-3-8B-layer-mix-bpw-3.0']().
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# GreenBitAI/Llama-3-8B-layer-mix-bpw-3.0-mlx\nThis quantized low-bit model was converted to MLX format from ['GreenBitAI/Llama-3-8B-layer-mix-bpw-3.0']().\nRefer to the original model card for more details on the model.",
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] |
null | mlx |
# GreenBitAI/Llama-3-8B-layer-mix-bpw-2.5-mlx
This quantized low-bit model was converted to MLX format from [`GreenBitAI/Llama-3-8B-layer-mix-bpw-2.5`]().
Refer to the [original model card](https://huggingface.co/GreenBitAI/Llama-3-8B-layer-mix-bpw-2.5) for more details on the model.
## Use with mlx
```bash
pip insta... | {"license": "apache-2.0", "tags": ["mlx"]} | GreenBitAI/Llama-3-8B-layer-mix-bpw-2.5-mlx | null | [
"mlx",
"safetensors",
"llama",
"license:apache-2.0",
"region:us"
] | null | 2024-04-23T14:25:21+00:00 | [] | [] | TAGS
#mlx #safetensors #llama #license-apache-2.0 #region-us
|
# GreenBitAI/Llama-3-8B-layer-mix-bpw-2.5-mlx
This quantized low-bit model was converted to MLX format from ['GreenBitAI/Llama-3-8B-layer-mix-bpw-2.5']().
Refer to the original model card for more details on the model.
## Use with mlx
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] |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [cognitivecomputations/dolphin-2.8-mistral-7... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["cognitivecomputations/dolphin-2.8-mistral-7b-v02", "arcee-ai/sec-mistral-7b-instruct-1.6-epoch"]} | mergekit-community/mergekit-slerp-jlrpbqb | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:cognitivecomputations/dolphin-2.8-mistral-7b-v02",
"base_model:arcee-ai/sec-mistral-7b-instruct-1.6-epoch",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference... | null | 2024-04-23T14:25:54+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-cognitivecomputations/dolphin-2.8-mistral-7b-v02 #base_model-arcee-ai/sec-mistral-7b-instruct-1.6-epoch #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* cognitivecomputations/dolphin-2.8-mistral-7b-v02
* arcee-ai/sec-mistral-7b-instru... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* cognitivecomputations/dolphin-2.8-mistral-7b-v02\n* arce... | [
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null | transformers |
# CarrotAI/OpenCarrot-Mix-7B-Q4_K_M-GGUF
This model was converted to GGUF format from [`CarrotAI/OpenCarrot-Mix-7B`](https://huggingface.co/CarrotAI/OpenCarrot-Mix-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https:/... | {"language": ["ko", "en"], "license": "mit", "library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["amazingvince/Not-WizardLM-2-7B", "CarrotAI/OpenCarrot-Mistral-7B-Instruct-v0.2"]} | CarrotAI/OpenCarrot-Mix-7B-Q4_K_M-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"llama-cpp",
"gguf-my-repo",
"ko",
"en",
"base_model:amazingvince/Not-WizardLM-2-7B",
"base_model:CarrotAI/OpenCarrot-Mistral-7B-Instruct-v0.2",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T14:26:05+00:00 | [] | [
"ko",
"en"
] | TAGS
#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #ko #en #base_model-amazingvince/Not-WizardLM-2-7B #base_model-CarrotAI/OpenCarrot-Mistral-7B-Instruct-v0.2 #license-mit #endpoints_compatible #region-us
|
# CarrotAI/OpenCarrot-Mix-7B-Q4_K_M-GGUF
This model was converted to GGUF format from 'CarrotAI/OpenCarrot-Mix-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
"# CarrotAI/OpenCarrot-Mix-7B-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'CarrotAI/OpenCarrot-Mix-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="ImenMasmoudiEm/Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False e... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.52 +/- ... | ImenMasmoudiEm/Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-23T14:26:13+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open source c... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"Agreemen... | bofenghuang/Meta-Llama-3-8B | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"facebook",
"meta",
"pytorch",
"llama-3",
"en",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-23T14:27:20+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #facebook #meta #pytorch #llama-3 #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository.\n\n\nTo download Original checkpoints, see the example command below leveraging 'huggingface-cli':\n\n\nFor Hugging Face support, we recommend using t... | [
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null | null |
# Anoxiom/Llama-3-8B-16K-Q6_K-GGUF
This model was converted to GGUF format from [`mattshumer/Llama-3-8B-16K`](https://huggingface.co/mattshumer/Llama-3-8B-16K) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://hugging... | {"tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["Yukang/LongAlpaca-16k-length"]} | Anoxiom/Llama-3-8B-16K-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"dataset:Yukang/LongAlpaca-16k-length",
"region:us"
] | null | 2024-04-23T14:27:53+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #dataset-Yukang/LongAlpaca-16k-length #region-us
|
# Anoxiom/Llama-3-8B-16K-Q6_K-GGUF
This model was converted to GGUF format from 'mattshumer/Llama-3-8B-16K' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note... | [
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null | transformers |
# Uploaded model
- **Developed by:** akbargherbal
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | akbargherbal/think_tanks_v01_gguf | null | [
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|
# Uploaded model
- Developed by: akbargherbal
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: akbargherbal\n- License: apache-2.0\n- Finetuned from model : unsloth/llama-3-8b-bnb-4bit\n\nThis llama model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
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text-generation | transformers | # LewdPlay-8B
<!-- description start -->
## Description
This repo contains fp16 files of LewdPlay Llama3, a finetuned model on multiple RP datasets based on [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct).
<!-- description end -->
<!-- description start -->
## Datase... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences", "nsfw"]} | Undi95/Llama-3-LewdPlay-8B | null | [
"transformers",
"pytorch",
"llama",
"text-generation",
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"nsfw",
"conversational",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-23T14:29:48+00:00 | [] | [] | TAGS
#transformers #pytorch #llama #text-generation #not-for-all-audiences #nsfw #conversational #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # LewdPlay-8B
## Description
This repo contains fp16 files of LewdPlay Llama3, a finetuned model on multiple RP datasets based on meta-llama/Meta-Llama-3-8B-Instruct.
## Dataset used
- Undi95/toxic-dpo-v0.1
- NobodyExistsOnTheInternet/ToxicQAFinal
- Aesir [2] & [3 - SFW / 3 - NSFW]
- cgato/SlimOrcaDedupCleaned (... | [
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"## Description\n\nThis repo contains fp16 files of LewdPlay Llama3, a finetuned model on multiple RP datasets based on meta-llama/Meta-Llama-3-8B-Instruct.",
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text-generation | transformers | 
## How to use:
```python
from transformers import pipeline
pipe = pipeline(
task="text-generation",
model="dolphin-2.9-llama3-8b-flashback",
device_map="auto"
)
text = "Vad är meningen med livet?"... | {"language": ["sv", "da", "no", "is", "en"], "license": "apache-2.0", "tags": ["merge"], "pipeline_tag": "text-generation", "base_model": ["timpal0l/Llama-3-8B-flashback-v1", "cognitivecomputations/dolphin-2.9-llama3-8b"]} | timpal0l/dolphin-2.9-llama3-8b-flashback | null | [
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| ![](URL
## How to use:
## URL
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] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HuggingFaceM4/tiny-random-Llama3ForCausalLM | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-23T14:31:42+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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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": []} | deadcode99/mistral-7b-lime-only-question-aware-instruct-before | null | [
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"endpoints_compatible",
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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 |
# Uploaded model
- **Developed by:** shubham11
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | shubham11/mistralrelease103 | null | [
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|
# Uploaded model
- Developed by: shubham11
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | mlx |
# mlx-community/Phi-3-mini-128k-instruct-4bit
This model was converted to MLX format from [`microsoft/Phi-3-mini-128k-instruct`]() using mlx-lm version **0.10.0**.
Model added by [Prince Canuma](https://twitter.com/Prince_Canuma).
Refer to the [original model card](https://huggingface.co/microsoft/Phi-3-mini-128k-in... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code", "mlx"], "license_link": "https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/resolve/main/LICENSE", "pipeline_tag": "text-generation"} | mlx-community/Phi-3-mini-128k-instruct-4bit | null | [
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|
# mlx-community/Phi-3-mini-128k-instruct-4bit
This model was converted to MLX format from ['microsoft/Phi-3-mini-128k-instruct']() using mlx-lm version 0.10.0.
Model added by Prince Canuma.
Refer to the original model card for more details on the model.
## Use with mlx
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text-generation | mlx |
# mlx-community/Phi-3-mini-128k-instruct-8bit
This model was converted to MLX format from [`microsoft/Phi-3-mini-128k-instruct`]() using mlx-lm version **0.10.0**.
Model added by [Prince Canuma](https://twitter.com/Prince_Canuma).
Refer to the [original model card](https://huggingface.co/microsoft/Phi-3-mini-128k-in... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code", "mlx"], "license_link": "https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/resolve/main/LICENSE", "pipeline_tag": "text-generation"} | mlx-community/Phi-3-mini-128k-instruct-8bit | null | [
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|
# mlx-community/Phi-3-mini-128k-instruct-8bit
This model was converted to MLX format from ['microsoft/Phi-3-mini-128k-instruct']() using mlx-lm version 0.10.0.
Model added by Prince Canuma.
Refer to the original model card for more details on the model.
## Use with mlx
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text-generation | mlx |
# mlx-community/Phi-3-mini-4k-instruct-4bit
This model was converted to MLX format from [`microsoft/Phi-3-mini-4k-instruct`]() using mlx-lm version **0.10.0**.
Model added by [Prince Canuma](https://twitter.com/Prince_Canuma).
Refer to the [original model card](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code", "mlx"], "license_link": "https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/resolve/main/LICENSE", "pipeline_tag": "text-generation"} | mlx-community/Phi-3-mini-4k-instruct-4bit | null | [
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"en"
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|
# mlx-community/Phi-3-mini-4k-instruct-4bit
This model was converted to MLX format from ['microsoft/Phi-3-mini-4k-instruct']() using mlx-lm version 0.10.0.
Model added by Prince Canuma.
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# mlx-community/Phi-3-mini-4k-instruct-4bit\nThis model was converted to MLX format from ['microsoft/Phi-3-mini-4k-instruct']() using mlx-lm version 0.10.0.\n\nModel added by Prince Canuma.\n\nRefer to the original model card for more details on the model.",
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swinv2-tiny-patch4-window8-256-Kontur-competition-1.3K
This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-windo... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "microsoft/swinv2-tiny-patch4-window8-256", "model-index": [{"name": "swinv2-tiny-patch4-window8-256-Kontur-competition-1.3K", "results": []}]} | t1msan/swinv2-tiny-patch4-window8-256-Kontur-competition-1.3K | null | [
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| swinv2-tiny-patch4-window8-256-Kontur-competition-1.3K
======================================================
This model is a fine-tuned version of microsoft/swinv2-tiny-patch4-window8-256 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0190
Model description
-------... | [
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text-generation | mlx |
# mlx-community/Phi-3-mini-4k-instruct-8bit
This model was converted to MLX format from [`microsoft/Phi-3-mini-4k-instruct`]() using mlx-lm version **0.10.0**.
Model added by [Prince Canuma](https://twitter.com/Prince_Canuma).
Refer to the [original model card](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code", "mlx"], "license_link": "https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/resolve/main/LICENSE", "pipeline_tag": "text-generation"} | mlx-community/Phi-3-mini-4k-instruct-8bit | null | [
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|
# mlx-community/Phi-3-mini-4k-instruct-8bit
This model was converted to MLX format from ['microsoft/Phi-3-mini-4k-instruct']() using mlx-lm version 0.10.0.
Model added by Prince Canuma.
Refer to the original model card for more details on the model.
## Use with mlx
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reinforcement-learning | null |
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
```python
{'exp_name': 'ppo'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_id': 'Lunar... | {"tags": ["LunarLander-v2", "ppo", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation", "deep-rl-course"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarLander-v2... | phoenixaiden33/PPO-LunarLander-v2 | null | [
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"ppo",
"deep-reinforcement-learning",
"reinforcement-learning",
"custom-implementation",
"deep-rl-course",
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#tensorboard #LunarLander-v2 #ppo #deep-reinforcement-learning #reinforcement-learning #custom-implementation #deep-rl-course #model-index #region-us
|
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
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] |
text-generation | transformers | # MedJamba
Multilingual Medical Model Based On Jamba
<p align="center">
👨🏻💻<a href="https://github.com/FreedomIntelligence/MedJamba" target="_blank">Github</a> •📃 <a href="https://arxiv.org/abs/2403.03640" target="_blank">Paper</a>
</p>
## 🌈 Update
* **[202... | {"license": "apache-2.0"} | FreedomIntelligence/Apollo-MedJamba | null | [
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"text-generation",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T14:39:57+00:00 | [
"2403.03640"
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#transformers #safetensors #jamba #text-generation #custom_code #arxiv-2403.03640 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| # MedJamba
Multilingual Medical Model Based On Jamba
<p align="center">
<a href="URL target="_blank">Github</a> • <a href="URL target="_blank">Paper</a>
</p>
!Apollo
## Update
* [2024.04.25] MedJamba Model is published！
## Results
<a href="URL target="_blank">Apollo-0.5B</a> • <a href=... | [
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multiple-choice | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# NLPGroupProject-Finetune-FNet
This model is a fine-tuned version of [google/fnet-base](https://huggingface.co/google/fnet-base) ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/fnet-base", "model-index": [{"name": "NLPGroupProject-Finetune-FNet", "results": []}]} | BenjaminTT/NLPGroupProject-Finetune-FNet | null | [
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"multiple-choice",
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#transformers #safetensors #fnet #multiple-choice #generated_from_trainer #base_model-google/fnet-base #license-apache-2.0 #endpoints_compatible #region-us
| NLPGroupProject-Finetune-FNet
=============================
This model is a fine-tuned version of google/fnet-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1397
* Accuracy: 0.661
Model description
-----------------
More information needed
Intended uses & limita... | [
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null | transformers |
# Uploaded model
- **Developed by:** VinhLlama
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | VinhLlama/Mistral7bVinhntV01_16bit | null | [
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# Uploaded model
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<img src="URL width="200"/>
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null | peft |
# Model Card for Model ID
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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text-generation | transformers |
# StarCoder2-Instruct: Fully Transparent and Permissive Self-Alignment for Code Generation
## Model Summary
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# StarCoder2-Instruct: Fully Transparent and Permissive Self-Alignment for Code Generation
!Banner
## Model Summary
We introduce StarCoder2-15B-Instruct-v0.1, the very first entirely self-aligned code Large Language Model (LLM) trained with a fully permissive and transparent pipeline. Our open-source pipeline uses ... | [
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