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## Instant_cumshot
<img src="https://via.placeholder.com/468x300?text=App+Screenshot+Here" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This lora model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details - Load up your generations with this cum fiesta of a LoRA! It se... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/Instant_cumshot | null | [
"imagepipeline",
"imagepipeline.io",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-21T11:28:40+00:00 | [] | [] | TAGS
#imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #region-us
| Instant\_cumshot
----------------
<img src="URL alt="Generated on Image Pipeline" style="border-radius: 10px;">
This lora model is uploaded on URL
Model details - Load up your generations with this cum fiesta of a LoRA! It seems to work well on whatever checkpoint and subject you're using, including characters fr... | [
"### API Reference",
"#### Generate Image\n\n\n\n\n\n\n---\n\n\nlicense: creativeml-openrail-m\ntags:\n\n\n* imagepipeline\n* URL\n* text-to-image\n* ultra-realistic\npinned: false\npipeline\\_tag: text-to-image\n\n\n\n\n---",
"### Feedback\n\n\nIf you have any feedback, please reach out to us at hello@URL",
... | [
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text-generation | transformers |
# OrpoLlama-3-8B
This is an ORPO fine-tune of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on 1k samples of [mlabonne/orpo-dpo-mix-40k](https://huggingface.co/datasets/mlabonne/orpo-dpo-mix-40k) created for [this article](https://huggingface.co/... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["orpo", "llama 3", "rlhf", "sft"], "datasets": ["mlabonne/orpo-dpo-mix-40k"]} | LoneStriker/OrpoLlama-3-8B-4.0bpw-h6-exl2 | null | [
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| OrpoLlama-3-8B
==============
![](https://i.URL
This is an ORPO fine-tune of meta-llama/Meta-Llama-3-8B on 1k samples of mlabonne/orpo-dpo-mix-40k created for this article.
It's a successful fine-tune that follows the ChatML template!
Try the demo: URL
Application
-----------
This model uses a context windo... | [
"### Nous\n\n\nOrpoLlama-4-8B outperforms Llama-3-8B-Instruct on the GPT4All and TruthfulQA datasets.\n\n\nEvaluation performed using LLM AutoEval, see the entire leaderboard here.\n\n\n\n'mlabonne/OrpoLlama-3-8B-1k' corresponds to a version of this model trained on 1K samples (you can see the parameters in this ar... | [
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video-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. -->
# timesformer-base-finetuned-k400-finetuned-kinetic400-epoch6-num_frame_10_TimeSformer_less_data
This model is a fine-tuned versio... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/timesformer-base-finetuned-k400", "model-index": [{"name": "timesformer-base-finetuned-k400-finetuned-kinetic400-epoch6-num_frame_10_TimeSformer_less_data", "results": []}]} | JackWong0911/timesformer-base-finetuned-k400-finetuned-kinetic400-epoch6-num_frame_10_TimeSformer_less_data | null | [
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| timesformer-base-finetuned-k400-finetuned-kinetic400-epoch6-num\_frame\_10\_TimeSformer\_less\_data
===================================================================================================
This model is a fine-tuned version of facebook/timesformer-base-finetuned-k400 on an unknown dataset.
It achieves the ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio: ... | [
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null | adapter-transformers |
# Adapter `BigTMiami/m_imdb_par_bn_v_4_class_no_pre_1_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/imdb_sentiment_dataset](https://huggingface.co/datasets/BigTMiami/imdb_sentiment_dataset/) dataset and includes a prediction head for clas... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/imdb_sentiment_dataset"]} | BigTMiami/m_imdb_par_bn_v_4_class_no_pre_1_adapter | null | [
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"dataset:BigTMiami/imdb_sentiment_dataset",
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#adapter-transformers #roberta #dataset-BigTMiami/imdb_sentiment_dataset #region-us
|
# Adapter 'BigTMiami/m_imdb_par_bn_v_4_class_no_pre_1_adapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/imdb_sentiment_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, i... | [
"# Adapter 'BigTMiami/m_imdb_par_bn_v_4_class_no_pre_1_adapter' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/imdb_sentiment_dataset dataset and includes a prediction head for classification.\n\nThis adapter was created for usage with the Adapters library.",
"## Usa... | [
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text-generation | transformers |
# OrpoLlama-3-8B
This is an ORPO fine-tune of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on 1k samples of [mlabonne/orpo-dpo-mix-40k](https://huggingface.co/datasets/mlabonne/orpo-dpo-mix-40k) created for [this article](https://huggingface.co/... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["orpo", "llama 3", "rlhf", "sft"], "datasets": ["mlabonne/orpo-dpo-mix-40k"]} | LoneStriker/OrpoLlama-3-8B-5.0bpw-h6-exl2 | null | [
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"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"5-bit",
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] | null | 2024-04-21T11:31:10+00:00 | [] | [
"en"
] | TAGS
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| OrpoLlama-3-8B
==============
![](https://i.URL
This is an ORPO fine-tune of meta-llama/Meta-Llama-3-8B on 1k samples of mlabonne/orpo-dpo-mix-40k created for this article.
It's a successful fine-tune that follows the ChatML template!
Try the demo: URL
Application
-----------
This model uses a context windo... | [
"### Nous\n\n\nOrpoLlama-4-8B outperforms Llama-3-8B-Instruct on the GPT4All and TruthfulQA datasets.\n\n\nEvaluation performed using LLM AutoEval, see the entire leaderboard here.\n\n\n\n'mlabonne/OrpoLlama-3-8B-1k' corresponds to a version of this model trained on 1K samples (you can see the parameters in this ar... | [
"TAGS\n#transformers #safetensors #llama #text-generation #orpo #llama 3 #rlhf #sft #conversational #en #dataset-mlabonne/orpo-dpo-mix-40k #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #5-bit #region-us \n",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# falcon7binstruct_mentalhealthmodel_oct23
This model is a fine-tuned version of [vilsonrodrigues/falcon-7b-instruct-sharded](http... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "vilsonrodrigues/falcon-7b-instruct-sharded", "model-index": [{"name": "falcon7binstruct_mentalhealthmodel_oct23", "results": []}]} | omar-sala7/falcon7binstruct_mentalhealthmodel_oct23 | null | [
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"sft",
"generated_from_trainer",
"base_model:vilsonrodrigues/falcon-7b-instruct-sharded",
"license:apache-2.0",
"region:us"
] | null | 2024-04-21T11:32:12+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-vilsonrodrigues/falcon-7b-instruct-sharded #license-apache-2.0 #region-us
|
# falcon7binstruct_mentalhealthmodel_oct23
This model is a fine-tuned version of vilsonrodrigues/falcon-7b-instruct-sharded on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Tra... | [
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object-detection | 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. -->
# detr
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr", "results": []}]} | asldlaskdlk/detr | null | [
"transformers",
"tensorboard",
"safetensors",
"detr",
"object-detection",
"generated_from_trainer",
"base_model:facebook/detr-resnet-50",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T11:32:18+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #detr #object-detection #generated_from_trainer #base_model-facebook/detr-resnet-50 #license-apache-2.0 #endpoints_compatible #region-us
| detr
====
This model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2485
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
"### 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: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1\n* mixed\\_precis... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Wav2Vec2_Fine_tuned_on_RAVDESS_2_Speech_Emotion_Recognition
This model is a fine-tuned version of [jonatasgrosman/wav2vec2-large... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "jonatasgrosman/wav2vec2-large-xlsr-53-english", "model-index": [{"name": "Wav2Vec2_Fine_tuned_on_RAVDESS_2_Speech_Emotion_Recognition", "results": []}]} | Yassmen/Wav2Vec2_Fine_tuned_on_RAVDESS_2_Speech_Emotion_Recognition | null | [
"transformers",
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"license:apache-2.0",
"endpoints_compatible",
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] | null | 2024-04-21T11:33:00+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #wav2vec2 #generated_from_trainer #base_model-jonatasgrosman/wav2vec2-large-xlsr-53-english #license-apache-2.0 #endpoints_compatible #region-us
| Wav2Vec2\_Fine\_tuned\_on\_RAVDESS\_2\_Speech\_Emotion\_Recognition
===================================================================
This model is a fine-tuned version of jonatasgrosman/wav2vec2-large-xlsr-53-english.
The dataset used to fine-tune the original pre-trained model is the RAVDESS dataset.
This datas... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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text-generation | transformers |
# OrpoLlama-3-8B
This is an ORPO fine-tune of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on 1k samples of [mlabonne/orpo-dpo-mix-40k](https://huggingface.co/datasets/mlabonne/orpo-dpo-mix-40k) created for [this article](https://huggingface.co/... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["orpo", "llama 3", "rlhf", "sft"], "datasets": ["mlabonne/orpo-dpo-mix-40k"]} | LoneStriker/OrpoLlama-3-8B-6.0bpw-h6-exl2 | null | [
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"license:other",
"autotrain_compatible",
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"text-generation-inference",
"6-bit",
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] | null | 2024-04-21T11:38:32+00:00 | [] | [
"en"
] | TAGS
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| OrpoLlama-3-8B
==============
![](https://i.URL
This is an ORPO fine-tune of meta-llama/Meta-Llama-3-8B on 1k samples of mlabonne/orpo-dpo-mix-40k created for this article.
It's a successful fine-tune that follows the ChatML template!
Try the demo: URL
Application
-----------
This model uses a context windo... | [
"### Nous\n\n\nOrpoLlama-4-8B outperforms Llama-3-8B-Instruct on the GPT4All and TruthfulQA datasets.\n\n\nEvaluation performed using LLM AutoEval, see the entire leaderboard here.\n\n\n\n'mlabonne/OrpoLlama-3-8B-1k' corresponds to a version of this model trained on 1K samples (you can see the parameters in this ar... | [
"TAGS\n#transformers #safetensors #llama #text-generation #orpo #llama 3 #rlhf #sft #conversational #en #dataset-mlabonne/orpo-dpo-mix-40k #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #6-bit #region-us \n",
"### Nous\n\n\nOrpoLlama-4-8B outperforms Llama-3-8B-Instruct on t... | [
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text-generation | transformers | # Model Card for Mixtral-8x7B
The Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts. The Mixtral-8x7B outperforms Llama 2 70B on most benchmarks we tested.
For full details of this model please read our [release blog post](https://mistral.ai/news/mixtral-of-experts/).
## War... | {"language": ["fr", "it", "de", "es", "en"], "license": "apache-2.0", "inference": {"parameters": {"temperature": 0.5}}, "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | MaziyarPanahi/Mixtral-8x7B-Instruct-v0.1 | null | [
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| # Model Card for Mixtral-8x7B
The Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts. The Mixtral-8x7B outperforms Llama 2 70B on most benchmarks we tested.
For full details of this model please read our release blog post.
## Warning
This repo contains weights that are compat... | [
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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": []} | Mayunezu/kor_mamba_130M | null | [
"transformers",
"safetensors",
"mamba",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# OrpoLlama-3-8B
This is an ORPO fine-tune of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on 1k samples of [mlabonne/orpo-dpo-mix-40k](https://huggingface.co/datasets/mlabonne/orpo-dpo-mix-40k) created for [this article](https://huggingface.co/... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["orpo", "llama 3", "rlhf", "sft"], "datasets": ["mlabonne/orpo-dpo-mix-40k"]} | LoneStriker/OrpoLlama-3-8B-8.0bpw-h8-exl2 | null | [
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| OrpoLlama-3-8B
==============
![](https://i.URL
This is an ORPO fine-tune of meta-llama/Meta-Llama-3-8B on 1k samples of mlabonne/orpo-dpo-mix-40k created for this article.
It's a successful fine-tune that follows the ChatML template!
Try the demo: URL
Application
-----------
This model uses a context windo... | [
"### Nous\n\n\nOrpoLlama-4-8B outperforms Llama-3-8B-Instruct on the GPT4All and TruthfulQA datasets.\n\n\nEvaluation performed using LLM AutoEval, see the entire leaderboard here.\n\n\n\n'mlabonne/OrpoLlama-3-8B-1k' corresponds to a version of this model trained on 1K samples (you can see the parameters in this ar... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/openlynn/lynn-A2.7B-rp-v1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show u... | {"language": ["en"], "license": "cc-by-sa-4.0", "library_name": "transformers", "tags": ["not-for-all-audiences"], "base_model": "openlynn/lynn-A2.7B-rp-v1", "quantized_by": "mradermacher"} | mradermacher/lynn-A2.7B-rp-v1-GGUF | null | [
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"base_model:openlynn/lynn-A2.7B-rp-v1",
"license:cc-by-sa-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T11:43:08+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #not-for-all-audiences #en #base_model-openlynn/lynn-A2.7B-rp-v1 #license-cc-by-sa-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... | [] | [
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] |
text-generation | transformers |
# Uploaded model
- **Developed by:** Alsebay
- **License:** apache-2.0
- **Finetuned from model :** Sao10K/Fimbulvetr-11B-v2
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "Sao10K/Fimbulvetr-11B-v2"} | Alsebay/test-model | null | [
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"license:apache-2.0",
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|
# Uploaded model
- Developed by: Alsebay
- License: apache-2.0
- Finetuned from model : Sao10K/Fimbulvetr-11B-v2
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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="DNA-55/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attr... | {"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": ... | DNA-55/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
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#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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] |
video-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. -->
# videomae-base-finetuned-isl-numbers_2
This model is a fine-tuned version of [latif98/videomae-base-finetuned-isl-numbers](https:... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "latif98/videomae-base-finetuned-isl-numbers", "model-index": [{"name": "videomae-base-finetuned-isl-numbers_2", "results": []}]} | latif98/videomae-base-finetuned-isl-numbers_2 | null | [
"transformers",
"tensorboard",
"safetensors",
"videomae",
"video-classification",
"generated_from_trainer",
"base_model:latif98/videomae-base-finetuned-isl-numbers",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us",
"has_space"
] | null | 2024-04-21T11:45:23+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #videomae #video-classification #generated_from_trainer #base_model-latif98/videomae-base-finetuned-isl-numbers #license-cc-by-nc-4.0 #endpoints_compatible #region-us #has_space
| videomae-base-finetuned-isl-numbers\_2
======================================
This model is a fine-tuned version of latif98/videomae-base-finetuned-isl-numbers on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2759
* Accuracy: 0.6839
Model description
-----------------
Mo... | [
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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": []} | DevanshArora2002/legal-PPO-model | null | [
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Dolphin 2.9 Llama 3 8b 🐬
Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations... | {"license": "other", "tags": ["generated_from_trainer"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-word-problems... | LoneStriker/dolphin-2.9-llama3-8b-3.0bpw-h6-exl2 | null | [
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"dataset:teknium/OpenHermes-2.5",
"dataset:m-a-p/CodeFeedback-Filtered-Instruction",
"dataset:cognitivecomputations/dolphin-coder",
"dataset:cogniti... | null | 2024-04-21T11:46:32+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #generated_from_trainer #conversational #dataset-cognitivecomputations/Dolphin-2.9 #dataset-teknium/OpenHermes-2.5 #dataset-m-a-p/CodeFeedback-Filtered-Instruction #dataset-cognitivecomputations/dolphin-coder #dataset-cognitivecomputations/samantha-data #dataset-H... | Dolphin 2.9 Llama 3 8b
======================
Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations
Discord: URL
<img src="URL width="600" />
My appreciation for the sponsors of Dolphin 2.9:
* Crusoe Cloud - provided excellent on-demand 10xL40S node
This mode... | [
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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":... | jiaqianwu/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-21T11:47:46+00:00 | [] | [] | TAGS
#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# A2C Agent playing PandaReachDense-v3\nThis is a trained model of a A2C agent playing PandaReachDense-v3\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# A2C Agent playing PandaReachDense-v3\nThis is a trained model of a A2C agent playing PandaReachDense-v3\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nT... | [
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"TAGS\n#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# A2C Agent playing PandaReachDense-v3\nThis is a trained model of a A2C agent playing PandaReachDense-v3\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add you... |
null | adapter-transformers |
# Adapter `BigTMiami/m_imdb_par_bn_v_4_class_no_pre_2_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/imdb_sentiment_dataset](https://huggingface.co/datasets/BigTMiami/imdb_sentiment_dataset/) dataset and includes a prediction head for clas... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/imdb_sentiment_dataset"]} | BigTMiami/m_imdb_par_bn_v_4_class_no_pre_2_adapter | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/imdb_sentiment_dataset",
"region:us"
] | null | 2024-04-21T11:48:16+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/imdb_sentiment_dataset #region-us
|
# Adapter 'BigTMiami/m_imdb_par_bn_v_4_class_no_pre_2_adapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/imdb_sentiment_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, i... | [
"# Adapter 'BigTMiami/m_imdb_par_bn_v_4_class_no_pre_2_adapter' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/imdb_sentiment_dataset dataset and includes a prediction head for classification.\n\nThis adapter was created for usage with the Adapters library.",
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object-detection | 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. -->
# detr
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr", "results": []}]} | alizeyn/detr | null | [
"transformers",
"tensorboard",
"safetensors",
"detr",
"object-detection",
"generated_from_trainer",
"base_model:facebook/detr-resnet-50",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T11:48:17+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #detr #object-detection #generated_from_trainer #base_model-facebook/detr-resnet-50 #license-apache-2.0 #endpoints_compatible #region-us
| detr
====
This model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9499
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
"### 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: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1\n* mixed\\_precis... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Dolphin 2.9 Llama 3 8b 🐬
Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations... | {"license": "other", "tags": ["generated_from_trainer"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-word-problems... | LoneStriker/dolphin-2.9-llama3-8b-4.0bpw-h6-exl2 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"generated_from_trainer",
"conversational",
"dataset:cognitivecomputations/Dolphin-2.9",
"dataset:teknium/OpenHermes-2.5",
"dataset:m-a-p/CodeFeedback-Filtered-Instruction",
"dataset:cognitivecomputations/dolphin-coder",
"dataset:cogniti... | null | 2024-04-21T11:48:27+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #generated_from_trainer #conversational #dataset-cognitivecomputations/Dolphin-2.9 #dataset-teknium/OpenHermes-2.5 #dataset-m-a-p/CodeFeedback-Filtered-Instruction #dataset-cognitivecomputations/dolphin-coder #dataset-cognitivecomputations/samantha-data #dataset-H... | Dolphin 2.9 Llama 3 8b
======================
Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations
Discord: URL
<img src="URL width="600" />
My appreciation for the sponsors of Dolphin 2.9:
* Crusoe Cloud - provided excellent on-demand 10xL40S node
This mode... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 3\n* eval\\_batch\\_size: 3\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 8\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 96\n*... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Dolphin 2.9 Llama 3 8b 🐬
Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations... | {"license": "other", "tags": ["generated_from_trainer"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-word-problems... | LoneStriker/dolphin-2.9-llama3-8b-5.0bpw-h6-exl2 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"generated_from_trainer",
"conversational",
"dataset:cognitivecomputations/Dolphin-2.9",
"dataset:teknium/OpenHermes-2.5",
"dataset:m-a-p/CodeFeedback-Filtered-Instruction",
"dataset:cognitivecomputations/dolphin-coder",
"dataset:cogniti... | null | 2024-04-21T11:50:39+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #generated_from_trainer #conversational #dataset-cognitivecomputations/Dolphin-2.9 #dataset-teknium/OpenHermes-2.5 #dataset-m-a-p/CodeFeedback-Filtered-Instruction #dataset-cognitivecomputations/dolphin-coder #dataset-cognitivecomputations/samantha-data #dataset-H... | Dolphin 2.9 Llama 3 8b
======================
Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations
Discord: URL
<img src="URL width="600" />
My appreciation for the sponsors of Dolphin 2.9:
* Crusoe Cloud - provided excellent on-demand 10xL40S node
This mode... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 3\n* eval\\_batch\\_size: 3\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 8\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 96\n*... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral_instruct_generation
This model is a fine-tuned version of [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mixtral-8x7B-Instruct-v0.1", "model-index": [{"name": "mistral_instruct_generation", "results": []}]} | Cem13/3mixi | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:mistralai/Mixtral-8x7B-Instruct-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-21T11:53:08+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mixtral-8x7B-Instruct-v0.1 #license-apache-2.0 #region-us
| mistral\_instruct\_generation
=============================
This model is a fine-tuned version of mistralai/Mixtral-8x7B-Instruct-v0.1 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6649
Model description
-----------------
More information needed
Intended uses & limi... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: constant\n* lr\\_scheduler\\_warmup\\_step... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Dolphin 2.9 Llama 3 8b 🐬
Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations... | {"license": "other", "tags": ["generated_from_trainer"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-word-problems... | LoneStriker/dolphin-2.9-llama3-8b-6.0bpw-h6-exl2 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"generated_from_trainer",
"conversational",
"dataset:cognitivecomputations/Dolphin-2.9",
"dataset:teknium/OpenHermes-2.5",
"dataset:m-a-p/CodeFeedback-Filtered-Instruction",
"dataset:cognitivecomputations/dolphin-coder",
"dataset:cogniti... | null | 2024-04-21T11:53:10+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #generated_from_trainer #conversational #dataset-cognitivecomputations/Dolphin-2.9 #dataset-teknium/OpenHermes-2.5 #dataset-m-a-p/CodeFeedback-Filtered-Instruction #dataset-cognitivecomputations/dolphin-coder #dataset-cognitivecomputations/samantha-data #dataset-H... | Dolphin 2.9 Llama 3 8b
======================
Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations
Discord: URL
<img src="URL width="600" />
My appreciation for the sponsors of Dolphin 2.9:
* Crusoe Cloud - provided excellent on-demand 10xL40S node
This mode... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 3\n* eval\\_batch\\_size: 3\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 8\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 96\n*... | [
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reinforcement-learning | transformers |
# TRL Model
This is a [TRL language model](https://github.com/huggingface/trl) that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TR... | {"license": "apache-2.0", "tags": ["trl", "ppo", "transformers", "reinforcement-learning"]} | baek26/all_9991_all_8657_bart-base_rl | null | [
"transformers",
"safetensors",
"bart",
"text2text-generation",
"trl",
"ppo",
"reinforcement-learning",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T11:53:31+00:00 | [] | [] | TAGS
#transformers #safetensors #bart #text2text-generation #trl #ppo #reinforcement-learning #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# TRL Model
This is a TRL language model that has been fine-tuned with reinforcement learning to
guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
## Usage
To use this model for inference, first install the TRL library:
You can then generate te... | [
"# TRL Model\n\nThis is a TRL language model that has been fine-tuned with reinforcement learning to\n guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.",
"## Usage\n\nTo use this model for inference, first install the TRL library:\n\n\n\nYou can... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/Kquant03/BurningBruce-SOLAR-8x10.7B-bf16
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "moe"], "base_model": "Kquant03/BurningBruce-SOLAR-8x10.7B-bf16", "quantized_by": "mradermacher"} | mradermacher/BurningBruce-SOLAR-8x10.7B-bf16-i1-GGUF | null | [
"transformers",
"gguf",
"merge",
"moe",
"en",
"base_model:Kquant03/BurningBruce-SOLAR-8x10.7B-bf16",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T11:53:49+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #merge #moe #en #base_model-Kquant03/BurningBruce-SOLAR-8x10.7B-bf16 #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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] |
text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Dolphin 2.9 Llama 3 8b 🐬
Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations... | {"license": "other", "tags": ["generated_from_trainer"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-word-problems... | LoneStriker/dolphin-2.9-llama3-8b-8.0bpw-h8-exl2 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"generated_from_trainer",
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"dataset:teknium/OpenHermes-2.5",
"dataset:m-a-p/CodeFeedback-Filtered-Instruction",
"dataset:cognitivecomputations/dolphin-coder",
"dataset:cogniti... | null | 2024-04-21T11:56:02+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #generated_from_trainer #conversational #dataset-cognitivecomputations/Dolphin-2.9 #dataset-teknium/OpenHermes-2.5 #dataset-m-a-p/CodeFeedback-Filtered-Instruction #dataset-cognitivecomputations/dolphin-coder #dataset-cognitivecomputations/samantha-data #dataset-H... | Dolphin 2.9 Llama 3 8b
======================
Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations
Discord: URL
<img src="URL width="600" />
My appreciation for the sponsors of Dolphin 2.9:
* Crusoe Cloud - provided excellent on-demand 10xL40S node
This mode... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 3\n* eval\\_batch\\_size: 3\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 8\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 96\n*... | [
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null | transformers | # Emma - Modelo de Texto a Voz basado en ONNX Runtime
Bienvenido al repositorio del modelo de texto a voz Emma, basado en la arquitectura ONNX Runtime. Este modelo ha sido entrenado utilizando Piper, una plataforma de aprendizaje automático de última generación.
## Acerca de Emma
Emma es un model... | {"tags": ["emma", "piper", "piper tts", "onnxrutime"]} | HirCoir/piper-emma-neuronal | null | [
"transformers",
"emma",
"piper",
"piper tts",
"onnxrutime",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T12:02:17+00:00 | [] | [] | TAGS
#transformers #emma #piper #piper tts #onnxrutime #endpoints_compatible #region-us
| # Emma - Modelo de Texto a Voz basado en ONNX Runtime
!Emma
Bienvenido al repositorio del modelo de texto a voz Emma, basado en la arquitectura ONNX Runtime. Este modelo ha sido entrenado utilizando Piper, una plataforma de aprendizaje automático de última generación.
## Acerca de Emma
Emma es un modelo de texto a ... | [
"# Emma - Modelo de Texto a Voz basado en ONNX Runtime\n\n!Emma\n\nBienvenido al repositorio del modelo de texto a voz Emma, basado en la arquitectura ONNX Runtime. Este modelo ha sido entrenado utilizando Piper, una plataforma de aprendizaje automático de última generación.",
"## Acerca de Emma\n\nEmma es un mod... | [
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null | peft |
test parameter by use split="test"
code to create dataset
```python
import random
alpaca_prompt = """<original>{}</original>
<translate to="{}">{}"""
BOS_TOKEN = tokenizer.bos_token # Must add EOS_TOKEN
EOS_TOKEN = "</translate>"+tokenizer.eos_token # Must add EOS_TOKEN
def formatting_prompts_func(examples):
... | {"library_name": "peft", "base_model": "unsloth/gemma-7b-bnb-4bit"} | ping98k/gemma-7b-translator-0.2-lora | null | [
"peft",
"safetensors",
"base_model:unsloth/gemma-7b-bnb-4bit",
"region:us"
] | null | 2024-04-21T12:05:10+00:00 | [] | [] | TAGS
#peft #safetensors #base_model-unsloth/gemma-7b-bnb-4bit #region-us
|
test parameter by use split="test"
code to create dataset
| [] | [
"TAGS\n#peft #safetensors #base_model-unsloth/gemma-7b-bnb-4bit #region-us \n"
] | [
31
] | [
"TAGS\n#peft #safetensors #base_model-unsloth/gemma-7b-bnb-4bit #region-us \n"
] |
null | adapter-transformers |
# Adapter `BigTMiami/m_imdb_par_bn_v_4_class_no_pre_3_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/imdb_sentiment_dataset](https://huggingface.co/datasets/BigTMiami/imdb_sentiment_dataset/) dataset and includes a prediction head for clas... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/imdb_sentiment_dataset"]} | BigTMiami/m_imdb_par_bn_v_4_class_no_pre_3_adapter | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/imdb_sentiment_dataset",
"region:us"
] | null | 2024-04-21T12:05:39+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/imdb_sentiment_dataset #region-us
|
# Adapter 'BigTMiami/m_imdb_par_bn_v_4_class_no_pre_3_adapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/imdb_sentiment_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, i... | [
"# Adapter 'BigTMiami/m_imdb_par_bn_v_4_class_no_pre_3_adapter' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/imdb_sentiment_dataset dataset and includes a prediction head for classification.\n\nThis adapter was created for usage with the Adapters library.",
"## Usa... | [
"TAGS\n#adapter-transformers #roberta #dataset-BigTMiami/imdb_sentiment_dataset #region-us \n",
"# Adapter 'BigTMiami/m_imdb_par_bn_v_4_class_no_pre_3_adapter' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/imdb_sentiment_dataset dataset and includes a prediction hea... | [
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null | null | # llama-3-neural-chat-v1-8b
- Model creator: [Locutusque](https://huggingface.co/Locutusque)
- Original model: [llama-3-neural-chat-v1-8b](https://huggingface.co/Locutusque/llama-3-neural-chat-v1-8b)
<!-- description start -->
## Description
This repo contains GGUF format model files for [Locutusque's llama-3-neural-c... | {"tags": ["GGUF"], "base_model": ["Locutusque/llama-3-neural-chat-v1-8b"]} | seyf1elislam/llama-3-neural-chat-v1-8b-GGUF | null | [
"gguf",
"GGUF",
"base_model:Locutusque/llama-3-neural-chat-v1-8b",
"region:us"
] | null | 2024-04-21T12:07:08+00:00 | [] | [] | TAGS
#gguf #GGUF #base_model-Locutusque/llama-3-neural-chat-v1-8b #region-us
| llama-3-neural-chat-v1-8b
=========================
* Model creator: Locutusque
* Original model: llama-3-neural-chat-v1-8b
Description
-----------
This repo contains GGUF format model files for Locutusque's llama-3-neural-chat-v1-8b .
Provided files
--------------
| [] | [
"TAGS\n#gguf #GGUF #base_model-Locutusque/llama-3-neural-chat-v1-8b #region-us \n"
] | [
37
] | [
"TAGS\n#gguf #GGUF #base_model-Locutusque/llama-3-neural-chat-v1-8b #region-us \n"
] |
automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whisper-small-sw
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on th... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "whisper-small-sw", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name... | diane20000000000000/whisper-small-sw | null | [
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"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"dataset:common_voice_11_0",
"base_model:openai/whisper-small",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T12:07:32+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #dataset-common_voice_11_0 #base_model-openai/whisper-small #license-apache-2.0 #model-index #endpoints_compatible #region-us
| whisper-small-sw
================
This model is a fine-tuned version of openai/whisper-small on the common\_voice\_11\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1784
* Wer: 282.7586
Model description
-----------------
More information needed
Intended uses & limitations
----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
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text-generation | transformers | This is a model that extracts biographical information on historical actors and writes it in Danish to a CSV file in the Fichoz format for the database Nordiske Folk (NoFo). It is based on Llama-3-8B-instruct, and has been trained on 400 hundred short biographies in various languages.
How to prompt:
Instruction:
You ... | {"language": ["da"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | GWK/NoFo-llama-3-8b-instruct-v1 | null | [
"transformers",
"pytorch",
"llama",
"text-generation",
"conversational",
"da",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T12:08:48+00:00 | [] | [
"da"
] | TAGS
#transformers #pytorch #llama #text-generation #conversational #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| This is a model that extracts biographical information on historical actors and writes it in Danish to a CSV file in the Fichoz format for the database Nordiske Folk (NoFo). It is based on Llama-3-8B-instruct, and has been trained on 400 hundred short biographies in various languages.
How to prompt:
Instruction:
You ... | [] | [
"TAGS\n#transformers #pytorch #llama #text-generation #conversational #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
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"TAGS\n#transformers #pytorch #llama #text-generation #conversational #da #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] |
object-detection | 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. -->
# detr
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr", "results": []}]} | depek/detr | null | [
"transformers",
"tensorboard",
"safetensors",
"detr",
"object-detection",
"generated_from_trainer",
"base_model:facebook/detr-resnet-50",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T12:10:48+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #detr #object-detection #generated_from_trainer #base_model-facebook/detr-resnet-50 #license-apache-2.0 #endpoints_compatible #region-us
| detr
====
This model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8756
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2\n* mixed\\_preci... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/FreedomIntelligence/Apollo-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sh... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "FreedomIntelligence/Apollo-7B", "quantized_by": "mradermacher"} | mradermacher/Apollo-7B-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:FreedomIntelligence/Apollo-7B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T12:10:58+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-FreedomIntelligence/Apollo-7B #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #en #base_model-FreedomIntelligence/Apollo-7B #license-apache-2.0 #endpoints_compatible #region-us \n"
] | [
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] |
null | null | # dolphin-2.9-llama3-8b
- Model creator: [cognitivecomputations](https://huggingface.co/cognitivecomputations)
- Original model: [dolphin-2.9-llama3-8b](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b)
<!-- description start -->
## Description
This repo contains GGUF format model files for [cognitiv... | {"tags": ["GGUF"], "base_model": ["cognitivecomputations/dolphin-2.9-llama3-8b"]} | seyf1elislam/dolphin-2.9-llama3-8b-GGUF | null | [
"gguf",
"GGUF",
"base_model:cognitivecomputations/dolphin-2.9-llama3-8b",
"region:us"
] | null | 2024-04-21T12:11:43+00:00 | [] | [] | TAGS
#gguf #GGUF #base_model-cognitivecomputations/dolphin-2.9-llama3-8b #region-us
| dolphin-2.9-llama3-8b
=====================
* Model creator: cognitivecomputations
* Original model: dolphin-2.9-llama3-8b
Description
-----------
This repo contains GGUF format model files for cognitivecomputations's dolphin-2.9-llama3-8b .
Provided files
--------------
| [] | [
"TAGS\n#gguf #GGUF #base_model-cognitivecomputations/dolphin-2.9-llama3-8b #region-us \n"
] | [
35
] | [
"TAGS\n#gguf #GGUF #base_model-cognitivecomputations/dolphin-2.9-llama3-8b #region-us \n"
] |
null | null | # lightblue-ao-karasu-72B-gguf
[lightblueさんが公開しているao-karasu-72B](https://huggingface.co/lightblue/ao-karasu-72B)のggufフォーマット変換版です。
Qwen1.5-72B-Chatベースになります。
## licence
tongyi-qianwenライセンスになります。
ご使用前に必ず[こちらのライセンス](https://huggingface.co/Qwen/Qwen1.5-72B-Chat/blob/main/LICENSE)をご確認ください。
## 他のモデル
[mmnga/lightblue-ao-... | {"language": ["en", "ja"], "license": "other", "tags": ["qwen-1.5"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-72B-Chat/blob/main/LICENSE"} | mmnga/lightblue-ao-karasu-72B-gguf | null | [
"gguf",
"qwen-1.5",
"en",
"ja",
"license:other",
"region:us"
] | null | 2024-04-21T12:12:48+00:00 | [] | [
"en",
"ja"
] | TAGS
#gguf #qwen-1.5 #en #ja #license-other #region-us
| # lightblue-ao-karasu-72B-gguf
lightblueさんが公開しているao-karasu-72Bのggufフォーマット変換版です。
Qwen1.5-72B-Chatベースになります。
## licence
tongyi-qianwenライセンスになります。
ご使用前に必ずこちらのライセンスをご確認ください。
## 他のモデル
mmnga/lightblue-ao-karasu-72B-gguf
mmnga/lightblue-karasu-1.1B-gguf
mmnga/lightblue-karasu-7B-chat-plus-unleashed-gguf
mmnga/light... | [
"# lightblue-ao-karasu-72B-gguf \nlightblueさんが公開しているao-karasu-72Bのggufフォーマット変換版です。\nQwen1.5-72B-Chatベースになります。",
"## licence \ntongyi-qianwenライセンスになります。\nご使用前に必ずこちらのライセンスをご確認ください。",
"## 他のモデル\nmmnga/lightblue-ao-karasu-72B-gguf \nmmnga/lightblue-karasu-1.1B-gguf \nmmnga/lightblue-karasu-7B-chat-plus-unleashed-... | [
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"# lightblue-ao-karasu-72B-gguf \nlightblueさんが公開しているao-karasu-72Bのggufフォーマット変換版です。\nQwen1.5-72B-Chatベースになります。",
"## licence \ntongyi-qianwenライセンスになります。\nご使用前に必ずこちらのライセンスをご確認ください。",
"## 他のモデル\nmmnga/lightblue-ao-karasu-72B-gguf \nmmnga/lightblue-ka... | [
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"TAGS\n#gguf #qwen-1.5 #en #ja #license-other #region-us \n# lightblue-ao-karasu-72B-gguf \nlightblueさんが公開しているao-karasu-72Bのggufフォーマット変換版です。\nQwen1.5-72B-Chatベースになります。## licence \ntongyi-qianwenライセンスになります。\nご使用前に必ずこちらのライセンスをご確認ください。## 他のモデル\nmmnga/lightblue-ao-karasu-72B-gguf \nmmnga/lightblue-karasu-1.1B-gguf \n... |
null | null |
Pretrained Model for the Land Cover Segmentation Dataset.
| {"license": "mit"} | lightning-uq-box/loveda_bnn_resnet18 | null | [
"license:mit",
"region:us"
] | null | 2024-04-21T12:13:17+00:00 | [] | [] | TAGS
#license-mit #region-us
|
Pretrained Model for the Land Cover Segmentation Dataset.
| [] | [
"TAGS\n#license-mit #region-us \n"
] | [
9
] | [
"TAGS\n#license-mit #region-us \n"
] |
null | null |
Pretrained model for land cover segmentation tuturial.
| {"license": "mit"} | lightning-uq-box/loveda_probunet_resnet18 | null | [
"license:mit",
"region:us"
] | null | 2024-04-21T12:14:40+00:00 | [] | [] | TAGS
#license-mit #region-us
|
Pretrained model for land cover segmentation tuturial.
| [] | [
"TAGS\n#license-mit #region-us \n"
] | [
9
] | [
"TAGS\n#license-mit #region-us \n"
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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": []} | sparsh35/finetunedstarbetaessawq | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-21T12:14:41+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "mistralai/Mistral-7B-Instruct-v0.2"} | Charishma27/sft_mistral_709_steps_3_apple_epoch | null | [
"peft",
"safetensors",
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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": []} | OwOOwO/dumbo-llama3 | null | [
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null | adapter-transformers |
# Adapter `BigTMiami/m_imdb_par_bn_v_4_class_no_pre_4_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/imdb_sentiment_dataset](https://huggingface.co/datasets/BigTMiami/imdb_sentiment_dataset/) dataset and includes a prediction head for clas... | {"tags": ["roberta", "adapter-transformers"], "datasets": ["BigTMiami/imdb_sentiment_dataset"]} | BigTMiami/m_imdb_par_bn_v_4_class_no_pre_4_adapter | null | [
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|
# Adapter 'BigTMiami/m_imdb_par_bn_v_4_class_no_pre_4_adapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/imdb_sentiment_dataset dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This model is fine-tuned on the Qwen1.5-4B-Chat model and COIG-CQIA/ruozhiba dataset by QLoRA.
Be noted that the model file contains the adapter LoRA weights only, so you are suggested to merge adapters with the base model for in... | {"language": ["zh"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["m-a-p/COIG-CQIA"], "pipeline_tag": "text-generation", "inference": false} | Ti-ger/Qwen1.5-4B-CQIA | null | [
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|
# Model Card for Model ID
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token-classification | span-marker |
# SpanMarker
This is a [SpanMarker](https://github.com/tomaarsen/SpanMarkerNER) model that can be used for Named Entity Recognition.
## Model Details
### Model Description
- **Model Type:** SpanMarker
<!-- - **Encoder:** [Unknown](https://huggingface.co/unknown) -->
- **Maximum Sequence Length:** 512 tokens
- **Max... | {"library_name": "span-marker", "tags": ["span-marker", "token-classification", "ner", "named-entity-recognition", "generated_from_span_marker_trainer"], "metrics": ["precision", "recall", "f1"], "widget": [{"text": "In the 2017 publication \"The Routledge Handbook of Collective Intentionality\", edited by Kirk Ludwig ... | ClovenDoug/span-marker-tiny-bert-ner-citation-grabber | null | [
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| SpanMarker
==========
This is a SpanMarker model that can be used for Named Entity Recognition.
Model Details
-------------
### Model Description
* Model Type: SpanMarker
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* Maximum Entity Length: 16 words
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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": []} | redmojo7/gemma-1.1-7b-it-finetune-palo-alto-network | null | [
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|
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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": []} | Imcf1Y3FSatM/weblab-10b-neo-len4096-1500iteration | null | [
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# Model Card for Model ID
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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_13.0 | null | [
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# Model Card for Model ID
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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. -->
# bart-base-lora
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall"], "base_model": "facebook/bart-base", "model-index": [{"name": "bart-base-lora", "results": []}]} | xshubhamx/bart-base-lora | null | [
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"generated_from_trainer",
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#tensorboard #safetensors #generated_from_trainer #base_model-facebook/bart-base #license-apache-2.0 #region-us
| bart-base-lora
==============
This model is a fine-tuned version of facebook/bart-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6655
* Accuracy: 0.7963
* Precision: 0.7841
* Recall: 0.7963
* Precision Macro: 0.5968
* Recall Macro: 0.6325
* Macro Fpr: 0.0186
* Weighte... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
CodeLlama-7b-Instruct-hf - bnb 4bits
- Model creator: https://huggingface.co/meta-llama/
- Original model: https://huggingfa... | {} | RichardErkhov/meta-llama_-_CodeLlama-7b-Instruct-hf-4bits | null | [
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"text-generation",
"conversational",
"arxiv:2308.12950",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
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"2308.12950"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-2308.12950 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
CodeLlama-7b-Instruct-hf - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
extra\_gated\_heading: You need to share contact information with Meta to access this model
extra\... | [
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null | transformers |
# Uploaded model
- **Developed by:** ogdanneedham
- **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.co... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | ogdanneedham/mistral-gs-0.2-lora | null | [
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"text-generation-inference",
"unsloth",
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"en",
"base_model:unsloth/mistral-7b-instruct-v0.2-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T12:33:58+00:00 | [] | [
"en"
] | TAGS
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|
# Uploaded model
- Developed by: ogdanneedham
- 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 | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
CodeLlama-7b-Instruct-hf - bnb 8bits
- Model creator: https://huggingface.co/meta-llama/
- Original model: https://huggingfa... | {} | RichardErkhov/meta-llama_-_CodeLlama-7b-Instruct-hf-8bits | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:2308.12950",
"autotrain_compatible",
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"8-bit",
"region:us"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-2308.12950 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
CodeLlama-7b-Instruct-hf - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
extra\_gated\_heading: You need to share contact information with Meta to access this model
extra\... | [
"### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\n\n\"Agreement\" means the terms and conditions for use, reproduction, distribution\nand modification of the Llama Materials set forth herein.\n\"Documentation\" means the specifications, manuals and documentation\naccompanying Llama 2 distributed by Meta at\nURL \n\n\"Li... | [
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text-generation | transformers |
How to use：
------
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
model_id = "BoyangZ/Llama3-chinese_chat_ft"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
model_id,
torch_dtype=torch.bfloat16,
device_map="auto",
)
messages ... | {"language": ["zh"], "license": "apache-2.0", "pipeline_tag": "text-generation"} | BoyangZ/Llama3-chinese_chat_ft | null | [
"transformers",
"safetensors",
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"conversational",
"zh",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T12:36:13+00:00 | [] | [
"zh"
] | TAGS
#transformers #safetensors #llama #text-generation #conversational #zh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
How to use：
------
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
model_id = "BoyangZ/Llama3-chinese_chat_ft"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
model_id,
torch_dtype=torch.bfloat16,
device_map="auto",
)
messages ... | [] | [
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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. -->
# Classifier_with_external_sets_02
This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/micro... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "microsoft/deberta-v3-large", "model-index": [{"name": "Classifier_with_external_sets_02", "results": []}]} | Tensorride/Classifier_with_external_sets_02 | null | [
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"generated_from_trainer",
"base_model:microsoft/deberta-v3-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-21T12:36:44+00:00 | [] | [] | TAGS
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| Classifier\_with\_external\_sets\_02
====================================
This model is a fine-tuned version of microsoft/deberta-v3-large on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6968
* Accuracy: 0.5034
Model description
-----------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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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": []} | LiuErXiao/vit_lora-1 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
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] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | domenicrosati/adversarial_loss_lr_1e-5_attack_meta-llama_Llama-2-7b-chat-hf_masked_4_3e-5_1k | null | [
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"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T12:39:09+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-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. -->
# output
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-base-uncased", "model-index": [{"name": "output", "results": []}]} | SumedhJoshi/idk | null | [
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"generated_from_trainer",
"base_model:bert-base-uncased",
"license:apache-2.0",
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#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# output
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6705
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information n... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation da... | [
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text-generation | transformers | **General-Stories-Mistral-7B**
This model is based on my dataset [General-Stories-Collection](https://huggingface.co/datasets/ajibawa-2023/General-Stories-Collection) which has **1.3 million** stories especially meant for General audience.
After an extensive training period spanning over 15 days, this model has been ... | {"language": ["en"], "license": "apache-2.0", "tags": ["story", "art", "general audience", "knowledge"], "datasets": ["ajibawa-2023/General-Stories-Collection"]} | ajibawa-2023/General-Stories-Mistral-7B | null | [
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"license:apache-2.0",
"autotrain_compatible",
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"regio... | null | 2024-04-21T12:40:42+00:00 | [] | [
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| General-Stories-Mistral-7B
This model is based on my dataset General-Stories-Collection which has 1.3 million stories especially meant for General audience.
After an extensive training period spanning over 15 days, this model has been meticulously honed to deliver captivating narratives with broad appeal.
Leveraging... | [] | [
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] |
null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
CodeLlama-7b-Instruct-hf - GGUF
- Model creator: https://huggingface.co/meta-llama/
- Original model: https://huggingface.co... | {} | RichardErkhov/meta-llama_-_CodeLlama-7b-Instruct-hf-gguf | null | [
"gguf",
"arxiv:2308.12950",
"region:us"
] | null | 2024-04-21T12:42:40+00:00 | [
"2308.12950"
] | [] | TAGS
#gguf #arxiv-2308.12950 #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
CodeLlama-7b-Instruct-hf - GGUF
* Model creator: URL
* Original model: URL
Name: CodeLlama-7b-Instruct-hf.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.36GB
Name: CodeLlama-7b-Instruct-hf.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 2.6GB
Name... | [
"### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\n\n\"Agreement\" means the terms and conditions for use, reproduction, distribution\nand modification of the Llama Materials set forth herein.\n\"Documentation\" means the specifications, manuals and documentation\naccompanying Llama 2 distributed by Meta at\nURL \n\n\"Li... | [
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null | null | ---
license: other
license_name: faipl-1.0-sd
license_link: https://freedevproject.org/faipl-1.0-sd/
---
# See complete release notes here:
English: https://nieta-art.feishu.cn/wiki/PpwqwVDzjiNE5kkUhRtcEsn6nmh
Chinese: https://nieta-art.feishu.cn/wiki/ARWLw99w7ikjaSkoV99cxmsOn5g
Civitai: https://civitai.com/models/... | {"license": "other", "license_name": "faipl-1.0-sd", "license_link": "https://freedevproject.org/faipl-1.0-sd/"} | neta-art/neta-art-xl-1.0 | null | [
"license:other",
"region:us"
] | null | 2024-04-21T12:42:54+00:00 | [] | [] | TAGS
#license-other #region-us
| ---
license: other
license_name: faipl-1.0-sd
license_link: URL
---
# See complete release notes here:
English: URL
Chinese: URL
Civitai: URL
# I. Overview
- Introducing Neta Art XL V1.0, the easiest-to-use SDXL Anime model so far.
- Keywords: Best Character Coverage, Vivid storytelling, Diverse styles, Stable ana... | [
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text-generation | transformers |
# mlx-community/Llama-3-Smaug-8B-4bit
This model was converted to MLX format from [`abacusai/Llama-3-Smaug-8B`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/abacusai/Llama-3-Smaug-8B) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```pyth... | {"license": "llama2", "library_name": "transformers", "tags": ["mlx"]} | mlx-community/Llama-3-Smaug-8B-4bit | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"mlx",
"conversational",
"license:llama2",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-21T12:43:05+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #mlx #conversational #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# mlx-community/Llama-3-Smaug-8B-4bit
This model was converted to MLX format from ['abacusai/Llama-3-Smaug-8B']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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text-generation | transformers |
# Model Card for Mixtral-8x22B-Instruct-v0.1
The Mixtral-8x22B-Instruct-v0.1 Large Language Model (LLM) is an instruct fine-tuned version of the [Mixtral-8x22B-v0.1](https://huggingface.co/mistralai/Mixtral-8x22B-v0.1).
## Run the model
```python
from transformers import AutoModelForCausalLM
from mistral_common.prot... | {"language": ["en", "es", "it", "de", "fr"], "license": "apache-2.0"} | MaziyarPanahi/Mixtral-8x22B-Instruct-v0.1 | null | [
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|
# Model Card for Mixtral-8x22B-Instruct-v0.1
The Mixtral-8x22B-Instruct-v0.1 Large Language Model (LLM) is an instruct fine-tuned version of the Mixtral-8x22B-v0.1.
## Run the model
# Instruct tokenizer
The HuggingFace tokenizer included in this release should match our own. To compare:
'pip install mistral-commo... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | cilantro9246/ghbfw2g | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | 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. -->
# timesformer-base-finetuned-k400-kinetic400-subset-epoch6-num_frame_10_myViT2window5_more_data_b4
This model is a fine-tuned vers... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "base_model": "facebook/timesformer-base-finetuned-k400", "model-index": [{"name": "timesformer-base-finetuned-k400-kinetic400-subset-epoch6-num_frame_10_myViT2window5_more_data_b4", "results": []}]} | JackWong0911/timesformer-base-finetuned-k400-kinetic400-subset-epoch6-num_frame_10_myViT2window5_more_data_b4 | null | [
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# timesformer-base-finetuned-k400-kinetic400-subset-epoch6-num_frame_10_myViT2window5_more_data_b4
This model is a fine-tuned version of facebook/timesformer-base-finetuned-k400 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
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text-generation | transformers |
# Model Card for OrpoLlama3-8B-FT
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card for OrpoLlama3-8B-FT model that has been pushed on the Hub. This model is fine tuned using ORPO.
- **Developed by:** Sonu Kumar
- **Model type:** Llama3
- **Lice... | {"license": "apache-2.0", "library_name": "transformers", "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "pipeline_tag": "text-generation"} | skuma307/OrpoLlama3-8B-FT | null | [
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# Model Card for OrpoLlama3-8B-FT
## Model Details
### Model Description
This is the model card for OrpoLlama3-8B-FT model that has been pushed on the Hub. This model is fine tuned using ORPO.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | peft |
# 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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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]
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- **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_Gpt4_tiny_Seed101 | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | voidful/pythia-160m | null | [
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## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-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. -->
# test_trainer
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown datas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-base-cased", "model-index": [{"name": "test_trainer", "results": []}]} | aboonaji/test_trainer | null | [
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# test_trainer
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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### Training hyperparameters
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text-generation | transformers |
# mlx-community/Llama-3-Smaug-8B-8bit
This model was converted to MLX format from [`abacusai/Llama-3-Smaug-8B`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/abacusai/Llama-3-Smaug-8B) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```pyth... | {"license": "llama2", "library_name": "transformers", "tags": ["mlx"]} | mlx-community/Llama-3-Smaug-8B-8bit | null | [
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|
# mlx-community/Llama-3-Smaug-8B-8bit
This model was converted to MLX format from ['abacusai/Llama-3-Smaug-8B']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
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text-generation | transformers |
# Gistral 16B (Mistral from 7B to 16B)
We created a model from other cool models to combine everything into one cool model.
**GGUF Version:** [ehristoforu/Gistral-16B-Q4_K_M-GGUF](https://huggingface.co/ehristoforu/Gistral-16B-Q4_K_M-GGUF)
## Model Details
### Model Description
- **Deve... | {"language": ["en", "fr", "ru", "de", "ja", "ko", "zh", "it", "uk", "multilingual", "code"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mistral", "gistral", "gistral-16b", "multilingual", "code", "128k", "metamath", "grok-1", "anthropic", "openhermes", "instruct", "merge"], "datasets": ["Hugging... | ehristoforu/Gistral-16B | null | [
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# Gistral 16B (Mistral from 7B to 16B)
!logo
We created a model from other cool models to combine everything into one cool model.
GGUF Version: ehristoforu/Gistral-16B-Q4_K_M-GGUF
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### Model Description
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- Model type: Text Generation (conversational)
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# twitter-roberta-base-sentiment-latest-trump-stance-3
This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sent... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "cardiffnlp/twitter-roberta-base-sentiment-latest", "model-index": [{"name": "twitter-roberta-base-sentiment-latest-trump-stance-3", "results": []}]} | saideep-arikontham/twitter-roberta-base-sentiment-latest-trump-stance-3 | null | [
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| twitter-roberta-base-sentiment-latest-trump-stance-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": []} | tom-brady/s6_246 | null | [
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|
# Model Card for Model ID
## Model Details
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object-detection | 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. -->
# detr
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr", "results": []}]} | jbossenk/detr | null | [
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| detr
====
This model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9448
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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null | null |
# T3qCalmexperiment-7B
T3qCalmexperiment-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: chihoonlee10/T3Q-Mistral-Orca-Math-DPO
- model: allknowingroger/Calm... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/T3qCalmexperiment-7B | null | [
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#merge #mergekit #lazymergekit #automerger #license-apache-2.0 #region-us
|
# T3qCalmexperiment-7B
T3qCalmexperiment-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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text-generation | transformers |
# Uploaded model
- **Developed by:** junelegend
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
## Model Details
This model is finetuned on [adeocybersecurity/DockerCommand](https://huggingface.co/datasets/adeocybersecurity/DockerCommand) dataset using the base [unsloth/llama-3-8... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "datasets": ["adeocybersecurity/DockerCommand"], "base_model": "unsloth/llama-3-8b-bnb-4bit", "pipeline_tag": "text-generation"} | junelegend/llama-3-docker-command-lora | null | [
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# Uploaded 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": []} | Imcf1Y3FSatM/weblab-10b-neo-len4096-1500iteration-base | null | [
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text-generation | transformers |
GPTQ 4-bit Quantized Mistral-7B-Instruct-v0.2 Model
Model Version: 1.0
Model Creator: CollAIborator (https://www.collaiborate.com)
Model Overview: This repo contains 4 Bit quantized GPTQ model files from mistralai/Mistral-7B-Instruct-v0.2. This model is an optimized version to run on lower config GPUs and comes wit... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "quantized", "finetuned", "gptq", "mistral"]} | SrikanthChellappa/Mistral-7B-Instruct-v0.2-GPTQ-4Bit | null | [
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GPTQ 4-bit Quantized Mistral-7B-Instruct-v0.2 Model
Model Version: 1.0
Model Creator: CollAIborator (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": []} | domenicrosati/lens-loss-minimality_lr_2e-5_attack_meta-llama_Llama-2-7b-chat-hf_1_num_layers_6_6e-5_1k | null | [
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# Model Card for Model ID
## Model Details
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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": []} | HenryCai1129/adapter-toxic2nontoxic-900 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
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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... | ByteResearch/Llama-3-8B-Instruct | null | [
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| 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... | [
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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... | {"license": "apache-2.0", "library_name": "transformers"} | HuggingFaceFW/ablation-model-slimpajama | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"license": "apache-2.0", "library_name": "transformers"} | HuggingFaceFW/ablation-model-the-pile | null | [
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# Model Card for Model ID
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Yi-6B-ruozhiba4
This model is a fine-tuned version of [01-ai/Yi-6B](https://huggingface.co/01-ai/Yi-6B) on the ruozhiba dataset.... | {"license": "other", "library_name": "peft", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["ruozhiba"], "base_model": "01-ai/Yi-6B", "model-index": [{"name": "Yi-6B-ruozhiba4", "results": []}]} | yyx123/Yi-6B-ruozhiba4 | null | [
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| Yi-6B-ruozhiba4
===============
This model is a fine-tuned version of 01-ai/Yi-6B on the ruozhiba dataset.
It achieves the following results on the evaluation set:
* Loss: 2.1112
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More informat... | [
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text-generation | transformers |
# Mistral-offspring-1-3
Mistral-offspring-1-3 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [akjindal53244/Arithmo-Mistral-7B](https://huggingface.co/akjindal53244/Arithmo-Mistral-7B)
* [meta-math/MetaMath-Mistral-7B](... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "akjindal53244/Arithmo-Mistral-7B", "meta-math/MetaMath-Mistral-7B"], "base_model": ["akjindal53244/Arithmo-Mistral-7B", "meta-math/MetaMath-Mistral-7B"]} | PotatoB/Mistral-offspring-1-3 | null | [
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# Mistral-offspring-1-3
Mistral-offspring-1-3 is a merge of the following models using LazyMergekit:
* akjindal53244/Arithmo-Mistral-7B
* meta-math/MetaMath-Mistral-7B
## Configuration
## Usage
| [
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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": []} | domenicrosati/adversarial_loss_lr_1e-5_attack_meta-llama_Llama-2-7b-chat-hf_masked_4_6e-5_1k | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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audio-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilhubert-finetuned-gtzan
This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/disti... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["marsyas/gtzan"], "metrics": ["accuracy"], "base_model": "ntu-spml/distilhubert", "model-index": [{"name": "distilhubert-finetuned-gtzan", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name":... | saketag73/classification_distilhubert-finetuned-gtzan-5 | null | [
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| distilhubert-finetuned-gtzan
============================
This model is a fine-tuned version of ntu-spml/distilhubert on the GTZAN dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7861
* Accuracy: 0.8
Model description
-----------------
More information needed
Intended uses & limita... | [
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text-generation | transformers | This is an ExLlamaV2 quantized model in 4bpw of [Muhammad2003/Llama3-8B-OpenHermes-DPO](https://huggingface.co/Muhammad2003/Llama3-8B-OpenHermes-DPO) using the default calibration dataset.
# Original Model card:
# Llama3-8B-OpenHermes-DPO
![image/png](https://cdn-uploads.huggingface.co/production/uploads/64fc6d81d7... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["DPO", "Llama3-8B"], "datasets": "mlabonne/chatml-OpenHermes2.5-dpo-binarized-alpha"} | mpasila/Llama3-8B-OpenHermes-DPO-exl2-4bpw | null | [
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| This is an ExLlamaV2 quantized model in 4bpw of Muhammad2003/Llama3-8B-OpenHermes-DPO using the default calibration dataset.
# Original Model card:
# Llama3-8B-OpenHermes-DPO
!image/png
Llama3-8B-OpenHermes-DPO is DPO-Finetuned model of Llama3-8B, on the OpenHermes-2.5 preference dataset using QLoRA.
* meta-llama... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** Alsebay
- **License:** apache-2.0
- **Finetuned from model :** Sao10K/Fimbulvetr-11B-v2
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "Sao10K/Fimbulvetr-11B-v2"} | Alsebay/test-model-v2 | null | [
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|
# Uploaded model
- Developed by: Alsebay
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This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers |
# Uploaded model
- **Developed by:** ogdanneedham
- **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.co... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | ogdanneedham/mistral-gs-0.3-lora | null | [
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|
# Uploaded model
- Developed by: ogdanneedham
- License: apache-2.0
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This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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... | tomTs/ppo-LunarLander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
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] | null | 2024-04-21T13:22:02+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 |
# 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": []} | isemmanuelolowe/Jamba9B | null | [
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] | null | 2024-04-21T13:23:41+00:00 | [
"1910.09700"
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#transformers #safetensors #jamba #text-generation #custom_code #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | Tobistd/test-gpt4 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# speaker-segmentation-fine-tuned-callhome-spa
This model is a fine-tuned version of [pyannote/segmentation-3.0](https://huggingfa... | {"license": "mit", "tags": ["speaker-diarization", "speaker-segmentation", "generated_from_trainer"], "datasets": ["diarizers-community/callhome"], "base_model": "pyannote/segmentation-3.0", "model-index": [{"name": "speaker-segmentation-fine-tuned-callhome-spa", "results": []}]} | diarizers-community/speaker-segmentation-fine-tuned-callhome-spa | null | [
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| speaker-segmentation-fine-tuned-callhome-spa
============================================
This model is a fine-tuned version of pyannote/segmentation-3.0 on the diarizers-community/callhome spa dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5198
* Der: 0.1745
* False Alarm: 0.0739
* Mis... | [
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text-generation | transformers |
<center><img src="https://i.imgur.com/qIhaFNM.png"></center>
# NeuralHermes 2.5 - Mistral 7B
NeuralHermes is based on the [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) model that has been further fine-tuned with Direct Preference Optimization (DPO) using the [mlabonne/... | {"language": ["en"], "license": "apache-2.0", "tags": ["mistral", "instruct", "finetune", "chatml", "gpt4", "synthetic data", "distillation", "dpo", "rlhf"], "datasets": ["mlabonne/chatml_dpo_pairs"], "base_model": "teknium/OpenHermes-2.5-Mistral-7B", "model-index": [{"name": "NeuralHermes-2.5-Mistral-7B", "results": [... | jalaganapathy/jalaModelRepo | null | [
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<center><img src="https://i.URL
# NeuralHermes 2.5 - Mistral 7B
NeuralHermes is based on the teknium/OpenHermes-2.5-Mistral-7B model that has been further fine-tuned with Direct Preference Optimization (DPO) using the mlabonne/chatml_dpo_pairs dataset. It surpasses the original model on most benchmarks (see results)... | [
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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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [NousResearch/Nous-Hermes-2-Yi-34B... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["NousResearch/Nous-Hermes-2-Yi-34B", "jondurbin/bagel-dpo-34b-v0.2"]} | NotAiLOL/Boundary-Yi-34B | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the DARE TIES merge method using NousResearch/Nous-Hermes-2-Yi-34B as a base.
### Models Merged
The following models were included in the merge:
* jondurbin/bagel-dpo-34b-v0.... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 0.0_ablation_sample1_4iters_bs256_iter_3
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_sample1_4iters_bs256_it... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_ablation_sample1_4iters_bs256_dataset"], "base_model": "ZhangShenao/0.0_ablation_sample1_4iters_bs256_iter_2", "model-index": [{"name": "0.0_ablation_sample1_4iters_bs256_it... | ZhangShenao/0.0_ablation_sample1_4iters_bs256_iter_3 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"alignment-handbook",
"generated_from_trainer",
"trl",
"dpo",
"conversational",
"dataset:ZhangShenao/0.0_ablation_sample1_4iters_bs256_dataset",
"base_model:ZhangShenao/0.0_ablation_sample1_4iters_bs256_iter_2",
"license:mit",
"aut... | null | 2024-04-21T13:33:37+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-ZhangShenao/0.0_ablation_sample1_4iters_bs256_dataset #base_model-ZhangShenao/0.0_ablation_sample1_4iters_bs256_iter_2 #license-mit #autotrain_compatible #endpoints_compatible #text-g... |
# 0.0_ablation_sample1_4iters_bs256_iter_3
This model is a fine-tuned version of ZhangShenao/0.0_ablation_sample1_4iters_bs256_iter_2 on the ZhangShenao/0.0_ablation_sample1_4iters_bs256_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Trai... | [
"# 0.0_ablation_sample1_4iters_bs256_iter_3\n\nThis model is a fine-tuned version of ZhangShenao/0.0_ablation_sample1_4iters_bs256_iter_2 on the ZhangShenao/0.0_ablation_sample1_4iters_bs256_dataset dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-ZhangShenao/0.0_ablation_sample1_4iters_bs256_dataset #base_model-ZhangShenao/0.0_ablation_sample1_4iters_bs256_iter_2 #license-mit #autotrain_compatible #endpoints_compatible #... | [
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"TAGS\n#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-ZhangShenao/0.0_ablation_sample1_4iters_bs256_dataset #base_model-ZhangShenao/0.0_ablation_sample1_4iters_bs256_iter_2 #license-mit #autotrain_compatible #endpoints_compatible #... |
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