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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": []} | lunarsylph/stablecell_v42 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0uncle0/Uncle25 | null | [
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## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | <!-- header start -->
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<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/Locutusque-gpt2-xl-conversational-bnb-8bit-smashed | null | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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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. -->
# distilgpt2-Lakota
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
I... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "distilgpt2-Lakota", "results": []}]} | kanishka7878/distilgpt2-Lakota | null | [
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|
# distilgpt2-Lakota
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 5.3701
- eval_runtime: 2.559
- eval_samples_per_second: 17.194
- eval_steps_per_second: 2.345
- step: 0
## Model description
More information needed
##... | [
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text-generation | transformers |
# MEGA_MIND 24b CyberSeries: Revolutionizing Language Models
## CyberSeries
The MEGA_MIND 24b CyberSeries represents a groundbreaking leap in the realm of language models, integrating a diverse array of expert models into a unified framework. At its core lies the Mistral-7B-Instruct-v0.2, a refined instructional m... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["chemistry", "biology", "code", "medical", "not-for-all-audiences", "Cyber-Series"], "metrics": ["accuracy", "bertscore", "bleu", "brier_score", "code_eval", "chrf", "charcut_mt", "character", "cer"]} | LeroyDyer/Mixtral_AI_Cyber_MegaMind_1x4_SFT | null | [
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|
# MEGA_MIND 24b CyberSeries: Revolutionizing Language Models
## CyberSeries
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-lg-cased-ms-ner-full
This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on a... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-large-cased", "model-index": [{"name": "bert-lg-cased-ms-ner-full", "results": []}]} | nxaliao/bert-lg-cased-ms-ner-full | null | [
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|
# bert-lg-cased-ms-ner-full
This model is a fine-tuned version of bert-large-cased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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null | transformers |
# LeroyDyer/Mixtral_AI_Cyber_MegaMind-Q4_K_M-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_Cyber_MegaMind`](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_MegaMind) using llama.cpp via the GGML.ai's [GGUF-it](https://huggingface.co/spaces/ggml-org/GGUF-it) space.
Refer to the [original mo... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["biology", "legal", "not-for-all-audiences", "medical", "chemistry", "moe", "merge", "llama-cpp"]} | LeroyDyer/Mixtral_AI_Cyber_MegaMind-Q4_K_M-GGUF | null | [
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|
# LeroyDyer/Mixtral_AI_Cyber_MegaMind-Q4_K_M-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_Cyber_MegaMind' using URL via the URL's GGUF-it space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/HuggingFaceM4-tiny-random-MistralForCausalLM-bnb-4bit-smashed | null | [
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<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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null | transformers |
# LeroyDyer/Mixtral_AI_Cyber_MegaMind-Q3_K_S-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_Cyber_MegaMind`](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_MegaMind) using llama.cpp via the GGML.ai's [GGUF-it](https://huggingface.co/spaces/ggml-org/GGUF-it) space.
Refer to the [original mo... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["biology", "legal", "not-for-all-audiences", "medical", "chemistry", "moe", "merge", "llama-cpp"]} | LeroyDyer/Mixtral_AI_Cyber_MegaMind-Q3_K_S-GGUF | null | [
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"en",
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"endpoints_compatible",
"region:us"
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#transformers #gguf #biology #legal #not-for-all-audiences #medical #chemistry #moe #merge #llama-cpp #en #license-apache-2.0 #endpoints_compatible #region-us
|
# LeroyDyer/Mixtral_AI_Cyber_MegaMind-Q3_K_S-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_Cyber_MegaMind' using URL via the URL's GGUF-it space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI... | [
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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": []} | tas444/mistral-7b-PPP-Benchmark | null | [
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"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/HuggingFaceM4-tiny-random-MistralForCausalLM-bnb-8bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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text-to-image | diffusers | # monop
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
[Download](/idevst/monop/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "-", "output": {"url": "images/monoprixdenim (28).png"}}], "base_model": "imagepipeline/LEOSAMs-HelloWorld-SDXL-Base-Model"} | idevst/monop | null | [
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"lora",
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"base_model:imagepipeline/LEOSAMs-HelloWorld-SDXL-Base-Model",
"region:us"
] | null | 2024-04-03T21:26:35+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-imagepipeline/LEOSAMs-HelloWorld-SDXL-Base-Model #region-us
| # monop
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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] |
text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712179811376x525799603249654800
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
A TOK character
```
Use this keyword to trigger your custom model in your prompts... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["Theuzs/Ares_war"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A TOK character", "inference": false} | squaadinc/1712179811376x525799603249654800 | null | [
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"text-to-image",
"lora",
"dataset:Theuzs/Ares_war",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-03T21:30:21+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-Theuzs/Ares_war #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1712179811376x525799603249654800
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
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null | null |
# Calme-Trinity-Coder-v0.1-ties
Calme-Trinity-Coder-v0.1-ties is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [MaziyarPanahi/Calme-7B-Instruct-v0.4](https://huggingface.co/MaziyarPanahi/Calme-7B-Instruct-v0.4)
## 🧩 Con... | {"tags": ["merge", "mergekit", "lazymergekit", "MaziyarPanahi/Calme-7B-Instruct-v0.4"], "base_model": ["MaziyarPanahi/Calme-7B-Instruct-v0.4"]} | thag8/Calme-Trinity-Coder-v0.1-ties | null | [
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"mergekit",
"lazymergekit",
"MaziyarPanahi/Calme-7B-Instruct-v0.4",
"base_model:MaziyarPanahi/Calme-7B-Instruct-v0.4",
"region:us"
] | null | 2024-04-03T21:32:19+00:00 | [] | [] | TAGS
#merge #mergekit #lazymergekit #MaziyarPanahi/Calme-7B-Instruct-v0.4 #base_model-MaziyarPanahi/Calme-7B-Instruct-v0.4 #region-us
|
# Calme-Trinity-Coder-v0.1-ties
Calme-Trinity-Coder-v0.1-ties is a merge of the following models using LazyMergekit:
* MaziyarPanahi/Calme-7B-Instruct-v0.4
## Configuration
## Usage
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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/wiki_asp-software_7902_bart-base | null | [
"transformers",
"safetensors",
"trl",
"ppo",
"reinforcement-learning",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T21:36:26+00:00 | [] | [] | TAGS
#transformers #safetensors #trl #ppo #reinforcement-learning #license-apache-2.0 #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... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/fblgit/UNA-SimpleSmaug-34b-v1beta
<!-- provided-files -->
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... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["UNA", "simple-math", "juanako"], "datasets": ["fblgit/simple-math", "jondurbin/bagel-v0.3"], "base_model": "fblgit/UNA-SimpleSmaug-34b-v1beta", "quantized_by": "mradermacher"} | mradermacher/UNA-SimpleSmaug-34b-v1beta-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information. | {"license": "apache-2.0"} | GreenBitAI/01-Yi-34B-Chat-layer-mix-bpw-2.2 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-03T21:38:27+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # GreenBit LLMs
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information. | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "datas... | juanimusso/distilbert-base-uncased-finetuned-emotion | null | [
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"tensorboard",
"safetensors",
"distilbert",
"text-classification",
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| distilbert-base-uncased-finetuned-emotion
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2229
* Accuracy: 0.926
* F1: 0.9260
Model description
-----------------
Mor... | [
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text-generation | transformers | 
# 🔬 Einstein-v6-7B
This model is a full fine-tuned version of [alpindale/Mistral-7B-v0.2-hf](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf) on diverse datasets.
This model is finetuned using ... | {"language": ["en"], "license": "other", "tags": ["axolotl", "generated_from_trainer", "Mistral", "instruct", "finetune", "chatml", "gpt4", "synthetic data", "science", "physics", "chemistry", "biology", "math"], "datasets": ["allenai/ai2_arc", "camel-ai/physics", "camel-ai/chemistry", "camel-ai/biology", "camel-ai/mat... | Weyaxi/Einstein-v6-7B | null | [
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Einstein-v6-7B
==============
This model is a full fine-tuned version of alpindale/Mistral-7B-v0.2-hf on diverse datasets.
This model is finetuned using '8xRTX3090' + '1xRTXA6000' using axolotl.
This model's training was sponsored by URL.
See axolotl config
axolotl version: '0.4.0'
Prompt Tem... | [
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text-generation | transformers | <!-- header start -->
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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. -->
# text_classification
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an un... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "text_classification", "results": []}]} | badrabbitt/text_classification | null | [
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| text\_classification
====================
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: 0.3130
* Accuracy: 0.9296
Model description
-----------------
More information needed
Intended uses & limitations
----------... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/HuggingFaceH4-mistral-7b-sft-beta-bnb-8bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
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text-generation | transformers | Pre-trained MLP adapter from Video-LLaVA | {} | ShareGPTVideo/Video-LLaVA-MLP-Adapter | null | [
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"region:us"
] | null | 2024-04-03T21:47:18+00:00 | [] | [] | TAGS
#transformers #llava #text-generation #autotrain_compatible #endpoints_compatible #region-us
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null | transformers |
# LeroyDyer/Mixtral_AI_Cyber_MegaMind_2_0-Q4_K_S-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_Cyber_MegaMind_2_0`](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_MegaMind_2_0) using llama.cpp via the GGML.ai's [GGUF-it](https://huggingface.co/spaces/ggml-org/GGUF-it) space.
Refer to the ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["chemistry", "biology", "code", "medical", "not-for-all-audiences", "llama-cpp", "`Mixture-Of-Experts"]} | LeroyDyer/Mixtral_AI_Cyber_MegaMind_2_0-Q4_K_S-GGUF | null | [
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|
# LeroyDyer/Mixtral_AI_Cyber_MegaMind_2_0-Q4_K_S-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_Cyber_MegaMind_2_0' using URL via the URL's GGUF-it space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the C... | [
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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/stable_boy_x5_2 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Ppoyaa/KunoichiVerse-7B
<!-- provided-files -->
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.... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": "Ppoyaa/KunoichiVerse-7B", "quantized_by": "mradermacher"} | mradermacher/KunoichiVerse-7B-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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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. -->
# DialoGPT_EmpAI_smallPrueba2
This model is a fine-tuned version of [microsoft/DialoGPT-small](https://huggingface.co/microsoft/Di... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/DialoGPT-small", "model-index": [{"name": "DialoGPT_EmpAI_smallPrueba2", "results": []}]} | LuangMV97/DialoGPT_EmpAI_smallPrueba2 | null | [
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"autotrain_compatible",
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| DialoGPT\_EmpAI\_smallPrueba2
=============================
This model is a fine-tuned version of microsoft/DialoGPT-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.7999
Model description
-----------------
More information needed
Intended uses & limitations
----... | [
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text-generation | transformers |
# MeliodasT3qm7-7B
MeliodasT3qm7-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [nlpguy/T3QM7](https://huggingface.co/nlpguy/T3QM7)
## 🧩 Configuration
```yaml
models:
- model: AurelPx/Meliodas-7b-dare
# No parameters necessary for base m... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["nlpguy/T3QM7"]} | automerger/MeliodasT3qm7-7B | null | [
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|
# MeliodasT3qm7-7B
MeliodasT3qm7-7B is an automated merge created by Maxime Labonne using the following configuration.
* nlpguy/T3QM7
## Configuration
## Usage
| [
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"## Configuration",
"## Usage"
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null | transformers |
# LeroyDyer/Mixtral_AI_Cyber_MegaMind-Q4_K_S-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_Cyber_MegaMind`](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_MegaMind) using llama.cpp via the GGML.ai's [GGUF-it](https://huggingface.co/spaces/ggml-org/GGUF-it) space.
Refer to the [original mo... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["biology", "legal", "not-for-all-audiences", "medical", "chemistry", "moe", "merge", "llama-cpp"]} | LeroyDyer/Mixtral_AI_1x4 | null | [
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"en"
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#transformers #gguf #biology #legal #not-for-all-audiences #medical #chemistry #moe #merge #llama-cpp #en #license-apache-2.0 #endpoints_compatible #region-us
|
# LeroyDyer/Mixtral_AI_Cyber_MegaMind-Q4_K_S-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_Cyber_MegaMind' using URL via the URL's GGUF-it space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI... | [
"# LeroyDyer/Mixtral_AI_Cyber_MegaMind-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_Cyber_MegaMind' using URL via the URL's GGUF-it space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server ... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/NousResearch-Yarn-Llama-2-7b-128k-bnb-8bit-smashed | null | [
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<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/jondurbin/bagel-20b-v04
<!-- provided-files -->
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.... | {"language": ["en"], "license": "other", "library_name": "transformers", "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-... | mradermacher/bagel-20b-v04-GGUF | null | [
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-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers |
# MEGA_MIND 24b CyberSeries: Revolutionizing Language Models
### Models Merged
The following models were included in the merge:
* [LeroyDyer/Mixtral_AI_Cyber_MegaMind](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_MegaMind) 24bMoE
* [LeroyDyer/Mixtral_AI_Cyber_MegaMind_2_0](https://huggingface.co/LeroyDyer/Mixt... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["chemistry", "biology", "code", "medical", "not-for-all-audiences", "Cyber-Series", "Mixture-Of-Experts"], "metrics": ["accuracy", "bertscore", "bleu", "brier_score", "code_eval", "chrf", "charcut_mt", "character", "cer"], "base_mode... | LeroyDyer/Mixtral_AI_Cyber_MegaMind_3.0_1x4 | null | [
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"en",
"base_model:LeroyDyer/Mixtral_AI_Cyber_MegaMind",
"license:apache-2.0",
"autotrain_compatible",... | null | 2024-04-03T22:09:03+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mixtral #text-generation #chemistry #biology #code #medical #not-for-all-audiences #Cyber-Series #Mixture-Of-Experts #conversational #en #base_model-LeroyDyer/Mixtral_AI_Cyber_MegaMind #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us ... |
# MEGA_MIND 24b CyberSeries: Revolutionizing Language Models
### Models Merged
The following models were included in the merge:
* LeroyDyer/Mixtral_AI_Cyber_MegaMind 24bMoE
* LeroyDyer/Mixtral_AI_Cyber_MegaMind_2_0 24bMoE
## CyberSeries
The MEGA_MIND 24b CyberSeries represents a groundbreaking leap in the realm... | [
"# MEGA_MIND 24b CyberSeries: Revolutionizing Language Models",
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t2t-gun-nlth-from-base
This model is a fine-tuned version of [tiagoblima/gun-nlth-base](https://huggingface.co/tiagoblima/gun-nl... | {"tags": ["generated_from_trainer"], "base_model": "tiagoblima/gun-nlth-base", "model-index": [{"name": "t2t-gun-nlth-from-base", "results": []}]} | tiagoblima/t2t-gun-nlth-from-base | null | [
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| t2t-gun-nlth-from-base
======================
This model is a fine-tuned version of tiagoblima/gun-nlth-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 6.3261
Model description
-----------------
More information needed
Intended uses & limitations
------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 0x0uncle0/uncle26 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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image-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Image Classification
## Validation Metrics
loss: 0.7649385333061218
f1_macro: 0.4616966462629057
f1_micro: 0.7640776699029127
f1_weighted: 0.7363203004281954
precision_macro: 0.6252686879910994
precision_micro: 0.7640776699029126
precision_weighted: 0.75524255478... | {"tags": ["autotrain", "image-classification"], "datasets": ["xblock-social-screenshots-4/autotrain-data"], "widget": [{"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg", "example_title": "Tiger"}, {"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg",... | howdyaendra/xblock-social-screenshots-4 | null | [
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|
# Model Trained Using AutoTrain
- Problem type: Image Classification
## Validation Metrics
loss: 0.7649385333061218
f1_macro: 0.4616966462629057
f1_micro: 0.7640776699029127
f1_weighted: 0.7363203004281954
precision_macro: 0.6252686879910994
precision_micro: 0.7640776699029126
precision_weighted: 0.75524255478... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# DistilBERT-yelp-sentiment-analysis
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distil... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["noahnsimbe/yelp-dataset"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "distilbert-base-uncased", "widget": [{"text": "This restaurant has the best food", "example_title": "Positive review"}, {"text": "This restaurant ha... | noahnsimbe/DistilBERT-yelp-sentiment-analysis | null | [
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| DistilBERT-yelp-sentiment-analysis
==================================
This model is a fine-tuned version of distilbert-base-uncased on the Yelp dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4803
* Accuracy: 0.8299
* F1: 0.6263
* Precision: 0.6756
* Recall: 0.6342
Model description
--... | [
"### 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* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
"### Trainin... | [
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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. -->
# deepseek-coder-1.3b-instruct_max_steps_300_finetuned
This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-inst... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "deepseek-ai/deepseek-coder-1.3b-instruct", "model-index": [{"name": "deepseek-coder-1.3b-instruct_max_steps_300_finetuned", "results": []}]} | vdavidr/deepseek-coder-1.3b-instruct_max_steps_300_finetuned | null | [
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"trl",
"sft",
"generated_from_trainer",
"base_model:deepseek-ai/deepseek-coder-1.3b-instruct",
"license:other",
"region:us"
] | null | 2024-04-03T22:20:17+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-deepseek-ai/deepseek-coder-1.3b-instruct #license-other #region-us
|
# deepseek-coder-1.3b-instruct_max_steps_300_finetuned
This model is a fine-tuned version of deepseek-ai/deepseek-coder-1.3b-instruct on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information need... | [
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text-generation | transformers |
# ECE-tw3-JRGL-test-precision
ECE-tw3-JRGL-test-precision is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [liminerity/M7-7b](https://huggingface.co/liminerity/M7-7b)
* [yam-peleg/Experiment26-7B](https://huggingface.co/y... | {"tags": ["merge", "mergekit", "lazymergekit", "liminerity/M7-7b", "yam-peleg/Experiment26-7B"], "base_model": ["liminerity/M7-7b", "yam-peleg/Experiment26-7B"]} | IAFrance/ECE-tw3-JRGL-test-precision | null | [
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|
# ECE-tw3-JRGL-test-precision
ECE-tw3-JRGL-test-precision is a merge of the following models using LazyMergekit:
* liminerity/M7-7b
* yam-peleg/Experiment26-7B
## Configuration
## Usage
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | MarkoMarkovic/ppo-LunarLander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
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"region:us"
] | null | 2024-04-03T22:21:39+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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] |
text2text-generation | transformers |
# MyT5
## Model Details
MyT5 (**My**te **T5**) is a multilingual language model based on T5 architecture.
The model uses a **m**orphologically-driven **byte** (**MYTE**) representation described in our paper [Limisiewicz et al., 2024](https://arxiv.org/pdf/2403.10691.pdf).
### Model Description
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====
Model Details
-------------
MyT5 (Myte T5) is a multilingual language model based on T5 architecture.
The model uses a morphologically-driven byte (MYTE) representation described in our paper Limisiewicz et al., 2024.
### Model Description
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | lunarsylph/stablecell_v43 | null | [
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"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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="ethan-lam/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional a... | {"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": ... | ethan-lam/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
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"reinforcement-learning",
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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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] |
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. -->
# kurdish-sentiment-analysis
This model is a fine-tuned version of [cis-lmu/glot500-base](https://huggingface.co/cis-lmu/glot500-b... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "cis-lmu/glot500-base", "model-index": [{"name": "kurdish-sentiment-analysis", "results": []}]} | razhan/kurdish-sentiment-analysis | null | [
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"xlm-roberta",
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"license:apache-2.0",
"autotrain_compatible",
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| kurdish-sentiment-analysis
==========================
This model is a fine-tuned version of cis-lmu/glot500-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4696
* Accuracy: 0.8
Model description
-----------------
More information needed
Intended uses & limitation... | [
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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. -->
# DEAD-text
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilber... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "DEAD-text", "results": []}]} | crozierm/DEAD-text | null | [
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| DEAD-text
=========
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0009
* Accuracy: 1.0
Model description
-----------------
More information needed
Intended uses & limitations
------------------... | [
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text2text-generation | transformers |
# MyT5
## Model Details
MyT5 (**My**te **T5**) is a multilingual language model based on T5 architecture.
The model uses a **m**orphologically-driven **byte** (**MYTE**) representation described in our paper [Limisiewicz et al., 2024](https://arxiv.org/pdf/2403.10691.pdf).
### Model Description
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====
Model Details
-------------
MyT5 (Myte T5) is a multilingual language model based on T5 architecture.
The model uses a morphologically-driven byte (MYTE) representation described in our paper Limisiewicz et al., 2024.
### Model Description
* Developed by: Tomasz Limisiewicz, Terra Blevins, Hila Gonen,... | [
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null | transformers |
# Uploaded model
- **Developed by:** tranv
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | tranv/mistral7b-poc-qlora | null | [
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"license:apache-2.0",
"endpoints_compatible",
"region:us"
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|
# Uploaded model
- Developed by: tranv
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-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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reinforcement-learning | ml-agents |
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Docum... | {"library_name": "ml-agents", "tags": ["SoccerTwos", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SoccerTwos"]} | chanifrusydi/poca-SoccerTwos | null | [
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"tensorboard",
"onnx",
"SoccerTwos",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SoccerTwos",
"region:us"
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#ml-agents #tensorboard #onnx #SoccerTwos #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SoccerTwos #region-us
|
# poca Agent playing SoccerTwos
This is a trained model of a poca agent playing SoccerTwos
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* ... | [
"# poca Agent playing SoccerTwos\n This is a trained model of a poca agent playing SoccerTwos\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short ... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/KoboldAI-GPT-J-6B-Janeway-bnb-4bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/LeroyDyer/Mixtral_AI_CyberLAW
<!-- provided-files -->
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... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "LeroyDyer/Mixtral_AI_CyberLAW", "quantized_by": "mradermacher"} | mradermacher/Mixtral_AI_CyberLAW-GGUF | null | [
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"en"
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#transformers #gguf #mergekit #merge #en #base_model-LeroyDyer/Mixtral_AI_CyberLAW #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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text2text-generation | transformers | distractors-5 | {"license": "unknown"} | kxv26/kola | null | [
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| distractors-5 | [] | [
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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": []} | heyllm234/s34 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T22:36:48+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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/wiki_asp-written_work_667_bart-base | null | [
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"safetensors",
"trl",
"ppo",
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"license:apache-2.0",
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#transformers #safetensors #trl #ppo #reinforcement-learning #license-apache-2.0 #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... | [
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null | transformers |
# Uploaded model
- **Developed by:** tranv
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | tranv/mistral7b-sumeczech-qlora | null | [
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"en"
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#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-unsloth/mistral-7b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: tranv
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-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 | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/NousResearch-Nous-Hermes-llama-2-7b-bnb-8bit-smashed | null | [
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<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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text-generation | null |
## GGUF conversion of <a href="https://huggingface.co/NTQAI/chatntq-ja-7b-v1.0">NTQAI/chatntq-ja-7b-v1.0</a>
ChatNTQ-JA-7b-v1.0 is a Japanese chat fine-tuned model built on top of the <a href="https://huggingface.co/stabilityai/japanese-stablelm-base-gamma-7b">stabilityai/japanese-stablelm-base-gamma-7b</a>, which is... | {"language": ["ja"], "pipeline_tag": "text-generation"} | TFMC/ChatNTQ-JA-7b-v1.0-GGUF | null | [
"gguf",
"text-generation",
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"region:us"
] | null | 2024-04-03T22:42:13+00:00 | [] | [
"ja"
] | TAGS
#gguf #text-generation #ja #region-us
|
## GGUF conversion of <a href="URL
ChatNTQ-JA-7b-v1.0 is a Japanese chat fine-tuned model built on top of the <a href="URL which is originally based on Mistral 7B v0.1. | [
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] |
reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="ethan-lam/taxi_v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "taxi_v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.54 +/- ... | ethan-lam/taxi_v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-03T22:42:36+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
text-generation | transformers |
# Model 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/stable_boy_xl1 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# Dolphin-MistralCode-v0.2-slerp
Dolphin-MistralCode-v0.2-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [cognitivecomputations/dolphin-2.8-mistral-7b-v02](https://huggingface.co/cognitivecomputations/dolphin-2.8-... | {"tags": ["merge", "mergekit", "lazymergekit", "cognitivecomputations/dolphin-2.8-mistral-7b-v02", "dhyay/MistralCode-7B-Instruct-v0.2-slerp"], "base_model": ["cognitivecomputations/dolphin-2.8-mistral-7b-v02", "dhyay/MistralCode-7B-Instruct-v0.2-slerp"]} | dhyay/Dolphin-MistralCode-v0.2-slerp | null | [
"transformers",
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"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
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"conversational",
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"base_model:dhyay/M... | null | 2024-04-03T22:44:41+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #cognitivecomputations/dolphin-2.8-mistral-7b-v02 #dhyay/MistralCode-7B-Instruct-v0.2-slerp #conversational #base_model-cognitivecomputations/dolphin-2.8-mistral-7b-v02 #base_model-dhyay/MistralCode-7B-Instruct-v0.2-slerp #autotrai... |
# Dolphin-MistralCode-v0.2-slerp
Dolphin-MistralCode-v0.2-slerp is a merge of the following models using LazyMergekit:
* cognitivecomputations/dolphin-2.8-mistral-7b-v02
* dhyay/MistralCode-7B-Instruct-v0.2-slerp
## Configuration
## Usage
| [
"# Dolphin-MistralCode-v0.2-slerp\n\nDolphin-MistralCode-v0.2-slerp is a merge of the following models using LazyMergekit:\n* cognitivecomputations/dolphin-2.8-mistral-7b-v02\n* dhyay/MistralCode-7B-Instruct-v0.2-slerp",
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null | null |
(Under traing process....)
StarTREK is Translator model for English-Korean.
- Star(Meaning for Global) + TR(anslator) + E(nglish) + K(orean): The acronym combination of the word.
- For optimized and fast model of Translation. with ALMA / ALMA-R method trained.
- some POC of Mac/OSX as use of full finetuned result.
... | {"language": ["ko", "en"], "license": "apache-2.0"} | ziozzang/StarTREK-2.8B-POC | null | [
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"en",
"license:apache-2.0",
"region:us"
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"ko",
"en"
] | TAGS
#ko #en #license-apache-2.0 #region-us
|
(Under traing process....)
StarTREK is Translator model for English-Korean.
- Star(Meaning for Global) + TR(anslator) + E(nglish) + K(orean): The acronym combination of the word.
- For optimized and fast model of Translation. with ALMA / ALMA-R method trained.
- some POC of Mac/OSX as use of full finetuned result.
... | [] | [
"TAGS\n#ko #en #license-apache-2.0 #region-us \n"
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/codellama-CodeLlama-7b-Python-hf-bnb-4bit-smashed | null | [
"transformers",
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"llama",
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"endpoints_compatible",
"text-generation-inference",
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] | null | 2024-04-03T22:48:42+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#transformers #safetensors #llama #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
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text-generation | transformers | 
# flammen14-mistral-7B
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
#... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["nbeerbower/Suppe-v1-7B", "nbeerbower/Flammen-Bruphin"]} | flammenai/flammen14-mistral-7B | null | [
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"mistral",
"text-generation",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
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| !image/png
# flammen14-mistral-7B
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* nbeerbower/Suppe-v1-7B
* nbeerbower/Flammen-Bruphin
##... | [
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"### Merge Method\n\nThis model was merged using the SLERP merge method.",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Mistral-7B-Instruct-v0.2_max_steps_300_finetuned
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](http... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral-7B-Instruct-v0.2_max_steps_300_finetuned", "results": []}]} | vdavidr/Mistral-7B-Instruct-v0.2_max_steps_300_finetuned | null | [
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"license:apache-2.0",
"region:us"
] | null | 2024-04-03T22:50:22+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
|
# Mistral-7B-Instruct-v0.2_max_steps_300_finetuned
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Tra... | [
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"## Intended uses & limitations\n\nMore information needed",
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"# Mistral-7B-Instruct-v0.2_max_steps_300_finetuned\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.",
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | sodarev/llm2-wp | null | [
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#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | [
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image-classification | transformers |
# rare-puppers_vt
Autogenerated by HuggingPics🤗🖼️
Create your own image classifier for **anything** by running [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb).
Report any issues with the demo at the [github repo](https://github.com/nateraw/hugg... | {"tags": ["image-classification", "pytorch", "huggingpics"], "metrics": ["accuracy"]} | aadediran2010/rare-puppers_vt | null | [
"transformers",
"tensorboard",
"safetensors",
"vit",
"image-classification",
"pytorch",
"huggingpics",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-03T22:51:58+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vit #image-classification #pytorch #huggingpics #model-index #autotrain_compatible #endpoints_compatible #region-us
|
# rare-puppers_vt
Autogenerated by HuggingPics️
Create your own image classifier for anything by running the demo on Google Colab.
Report any issues with the demo at the github repo.
## Example Images
#### Dublin, Ireland
!Dublin, Ireland
#### Lagos, Nigeria
!Lagos, Nigeria
#### Oslo, New Zealand
!Oslo, N... | [
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"#### Dublin, Ireland\n\n!Dublin, Ireland",
"#### Lagos, Nigeria\n\n!Lagos, Nigeria",
"###... | [
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null | null | from huggingface_hub import hf_hub_download
broi = hf_hub_download("TommyNgx/UTSmammo", 'mamaseg_4apr24.pth')
---
license: apache-2.0
---
| {} | TommyNgx/UTSmammo | null | [
"region:us"
] | null | 2024-04-03T22:53:10+00:00 | [] | [] | TAGS
#region-us
| from huggingface_hub import hf_hub_download
broi = hf_hub_download("TommyNgx/UTSmammo", 'mamaseg_4apr24.pth')
---
license: apache-2.0
---
| [] | [
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text-generation | transformers |
This is our **meme captioner model**, i.e., fine-tuned LLaVA-1.5-7B, from our paper [*"Beyond Words: A Multimodal and Multilingual Exploration of Persuasion in Memes"*](https://arxiv.org/abs/2404.03022).
\*\*<b>Important: When we talk about generating captions here, we're referring to the model creating a concise des... | {"inference": false} | AmirHossein1378/LLaVA-1.5-7b-meme-captioner | null | [
"transformers",
"pytorch",
"llava",
"text-generation",
"arxiv:2404.03022",
"autotrain_compatible",
"region:us"
] | null | 2024-04-03T22:59:53+00:00 | [
"2404.03022"
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#transformers #pytorch #llava #text-generation #arxiv-2404.03022 #autotrain_compatible #region-us
|
This is our meme captioner model, i.e., fine-tuned LLaVA-1.5-7B, from our paper *"Beyond Words: A Multimodal and Multilingual Exploration of Persuasion in Memes"*.
\*\*<b>Important: When we talk about generating captions here, we're referring to the model creating a concise description of the meme, including its purp... | [] | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/sdadas-polish-gpt2-xl-bnb-4bit-smashed | null | [
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</a>
</div>
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
"TAGS\n#transformers #safetensors #gpt2 #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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text-generation | transformers | 
# bophades-v2-mistral-7B
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 [Model Stock](https://ar... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["paulml/NeuralOmniWestBeaglake-7B", "yam-peleg/Experiment21-7B", "paulml/OmniBeagleSquaredMBX-v3-7B", "Gille/StrangeMerges_16-7B-slerp", "vanillaOVO/correction_1", "yam-peleg/Experiment26-7B", "Kukedlc/NeuralMaths-Ex... | nbeerbower/bophades-v2-mistral-7B | null | [
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# bophades-v2-mistral-7B
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the Model Stock merge method using yam-peleg/Experiment26-7B as a base.
### Models Merged
The following models were included in the merge:
* paulm... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-imdb
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-imdb", "results": []}]} | fernandopascualvirue/distilbert-imdb | null | [
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| distilbert-imdb
===============
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1901
* Accuracy: 0.9312
Model description
-----------------
More information needed
Intended uses & limitations
--------------... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t2t-gun-nlth-from-base-warmup
This model is a fine-tuned version of [tiagoblima/t2t-gun-nlth-from-base](https://huggingface.co/t... | {"tags": ["generated_from_trainer"], "base_model": "tiagoblima/t2t-gun-nlth-from-base", "model-index": [{"name": "t2t-gun-nlth-from-base-warmup", "results": []}]} | tiagoblima/t2t-gun-nlth-from-base-warmup | null | [
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| t2t-gun-nlth-from-base-warmup
=============================
This model is a fine-tuned version of tiagoblima/t2t-gun-nlth-from-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 4.2714
Model description
-----------------
More information needed
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text-generation | transformers |
# Dolphin-MistralCode-v0.2.1-slerp
Dolphin-MistralCode-v0.2.1-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [cognitivecomputations/dolphin-2.8-mistral-7b-v02](https://huggingface.co/cognitivecomputations/dolphin-... | {"tags": ["merge", "mergekit", "lazymergekit", "cognitivecomputations/dolphin-2.8-mistral-7b-v02", "dhyay/MistralCode-7B-Instruct-v0.2-slerp"], "base_model": ["cognitivecomputations/dolphin-2.8-mistral-7b-v02", "dhyay/MistralCode-7B-Instruct-v0.2-slerp"]} | dhyay/Dolphin-MistralCode-v0.2.1-slerp | null | [
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# Dolphin-MistralCode-v0.2.1-slerp
Dolphin-MistralCode-v0.2.1-slerp is a merge of the following models using LazyMergekit:
* cognitivecomputations/dolphin-2.8-mistral-7b-v02
* dhyay/MistralCode-7B-Instruct-v0.2-slerp
## Configuration
## Usage
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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. -->
# classifier_arabic_sl
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-bas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "classifier_arabic_sl", "results": []}]} | fydhfzh/classifier_arabic_sl | null | [
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| classifier\_arabic\_sl
======================
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1488
* Accuracy: 0.8010
Model description
-----------------
More information needed
Intended uses & limitations
-... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-cartpolePPo", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{... | Adrienkgz/Reinforce-cartpolePPo | null | [
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# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
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null | transformers | # Better Implementation of [*PairRM*](https://huggingface.co/llm-blender/PairRM)
## Introduction
This version of PairRM have some fixes on training process, which improve model's performance by **15%**.
### Minor Fixes
- Longer Context Length (2048 -> 3370)
Thanks to deberta's tokenzer, original PairRM model had e... | {"language": ["en"], "license": "apache-2.0", "tags": ["reward_model", "reward-model", "RLHF", "evaluation", "llm", "instruction", "reranking"], "datasets": ["openai/summarize_from_feedback", "openai/webgpt_comparisons", "berkeley-nest/Nectar", "Dahoas/instruct-synthetic-prompt-responses", "Anthropic/hh-rlhf", "lmsys/c... | mightbe/Better-PairRM | null | [
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=================================
Introduction
------------
This version of PairRM have some fixes on training process, which improve model's performance by 15%.
### Minor Fixes
* Longer Context Length (2048 -> 3370)
Thanks to deberta's tokenzer, original PairRM model had eno... | [
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text-generation | transformers |
# TinyLlama-1.1B-chat-ties-v1
TinyLlama-1.1B-chat-ties-v1 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0)
* [l3utterfly/tinyllama-1.1b-layla-v1](https://huggingface.co/l3utterfly/t... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "TinyLlama/TinyLlama-1.1B-Chat-v1.0", "l3utterfly/tinyllama-1.1b-layla-v1"]} | abuelnasr/TinyLlama-1.1B-chat-ties-v1 | null | [
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|
# TinyLlama-1.1B-chat-ties-v1
TinyLlama-1.1B-chat-ties-v1 is a merge of the following models using mergekit:
* TinyLlama/TinyLlama-1.1B-Chat-v1.0
* l3utterfly/tinyllama-1.1b-layla-v1
## Configuration
| [
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null | mlx |
# mlx-community/pandafish-dt-7b
This model was converted to MLX format from [`ichigoberry/pandafish-dt-7b`]() using mlx-lm version **0.6.0**.
Refer to the [original model card](https://huggingface.co/ichigoberry/pandafish-dt-7b) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "CultriX/MergeCeption-7B-v3", "mlx"], "base_model": ["CultriX/MergeCeption-7B-v3"]} | mlx-community/pandafish-dt-7b | null | [
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"CultriX/MergeCeption-7B-v3",
"base_model:CultriX/MergeCeption-7B-v3",
"license:apache-2.0",
"region:us"
] | null | 2024-04-03T23:27:44+00:00 | [] | [] | TAGS
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|
# mlx-community/pandafish-dt-7b
This model was converted to MLX format from ['ichigoberry/pandafish-dt-7b']() using mlx-lm version 0.6.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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null | transformers | ## About
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/icefog72/IceLemonTeaRP-32k-7b
<!-- provided-files -->
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... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge", "alpaca", "mistral", "not-for-all-audiences", "nsfw"], "base_model": "icefog72/IceLemonTeaRP-32k-7b", "quantized_by": "mradermacher"} | mradermacher/IceLemonTeaRP-32k-7b-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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"pruna-ai",
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|
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="URL target="_blank" rel="noopener noreferrer">
<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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![LinkedIn](URL
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reinforcement-learning | null |
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
```python
{'exp_name': 'ppo'
'seed': 1
'torch_deterministic': True
'cuda': True
'track': False
'wandb_project_name': 'cleanRL'
'wandb_entity': None
'capture_video': False
'env_id': 'Lunar... | {"tags": ["LunarLander-v2", "ppo", "deep-reinforcement-learning", "reinforcement-learning", "custom-implementation", "deep-rl-course"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarLander-v2... | DiegoT200/LunarLander_by_foot | null | [
"tensorboard",
"LunarLander-v2",
"ppo",
"deep-reinforcement-learning",
"reinforcement-learning",
"custom-implementation",
"deep-rl-course",
"model-index",
"region:us"
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#tensorboard #LunarLander-v2 #ppo #deep-reinforcement-learning #reinforcement-learning #custom-implementation #deep-rl-course #model-index #region-us
|
# PPO Agent Playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2.
# Hyperparameters
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] |
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... | kenburke/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-03T23:37:26+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-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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|
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image-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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image-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | peft |
# Model Card for Model ID
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image-classification | timm | # Model card for fgvc_aircraft-resnet50
| {"license": "apache-2.0", "library_name": "timm", "tags": ["image-classification", "timm"]} | anonauthors/fgvc_aircraft-resnet50 | null | [
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image-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | anonauthors/fgvc_aircraft-ViT-b32 | null | [
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image-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | anonauthors/fgvc_aircraft-ConvNeXt-base | null | [
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text-to-image | diffusers | # Kandinsky 3.0 IP Adapter
## Usage
```python
pip install git+https://github.com/ai-forever/kandinsky3-diffusers.git
```
### Image variations
```python
from diffusers.models.attention_processor import Kandi3AttnProcessorIpAdapter, Kandi3AttnProcessor
from diffusers.pipelines.kandinsky3.kandinsky3_pipeline_ip_adapter ... | {"license": "apache-2.0", "tags": ["text-to-image", "kandinsky"], "inference": false} | ai-forever/kandinsky3_ip_adapter | null | [
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## Usage
### Image variations
### Image + Image mixing
### Text + Image mixing
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-finetuned-ner
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the conll2... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["conll2003"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-finetuned-ner", "results": [{"task": {"type": "token-classification", "name": "Token Classification"}, "dataset":... | abh1na5/bert-finetuned-ner | null | [
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| bert-finetuned-ner
==================
This model is a fine-tuned version of bert-base-cased on the conll2003 dataset.
It achieves the following results on the evaluation set:
* Loss: nan
* Precision: 0.9302
* Recall: 0.9504
* F1: 0.9401
* Accuracy: 0.9865
Model description
-----------------
More information nee... | [
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image-classification | timm | # Model card for food101-resnet50
| {"license": "apache-2.0", "library_name": "timm", "tags": ["image-classification", "timm"]} | anonauthors/food101-resnet50 | null | [
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image-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | anonauthors/food101-ViT-b32 | null | [
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|
# Model Card for Model ID
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image-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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image-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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image-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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image-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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image-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | anonauthors/dtd-swinT | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #swin #image-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model... | [
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"TAGS\n#transformers #safetensors #swin #image-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been aut... |
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