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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/yelp_polarity_gpt2-xl_seed-2 | null | [
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# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers | # Qwen1.5-32B-Chat-6.0bpw-exl2
This is a 6.0bpw quantized version of [Qwen/Qwen1.5-32B-Chat](https://huggingface.co/Qwen/Qwen1.5-32B-Chat) made with [exllamav2](https://github.com/turboderp/exllamav2).
To run this, make sure you installed the up-to-date version of Exllamav2.
## License
This project is distributed ... | {"license": "other", "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B-Chat/blob/main/LICENSE"} | DrNicefellow/Qwen1.5-32B-Chat-6bpw-exl2 | null | [
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This is a 6.0bpw quantized version of Qwen/Qwen1.5-32B-Chat made with exllamav2.
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## License
This project is distributed under the Tongyi Qianwen LICENSE AGREEMENT. See the LICENSE file for more information.
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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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text2text-generation | transformers |
# Model Card for Model ID
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/yelp_polarity_t5-small_seed-2 | null | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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text2text-generation | transformers |
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text2text-generation | transformers |
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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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 generate... | {"library_name": "transformers", "tags": []} | utahnlp/yelp_polarity_t5-large_seed-2 | null | [
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text2text-generation | transformers |
# Model Card for Model ID
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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<!-- 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": []} | utahnlp/yelp_polarity_t5-3b_seed-1 | null | [
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text-to-audio | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# dutch_full_checkpoint
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_t... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "dutch_full_checkpoint", "results": []}]} | mikhail-panzo/dutch_full_checkpoint | null | [
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| dutch\_full\_checkpoint
=======================
This model is a fine-tuned version of microsoft/speecht5\_tts on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4578
Model description
-----------------
More information needed
Intended uses & limitations
-----------------... | [
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audio-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilhubert-finetuned-gtzan
This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/disti... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["marsyas/gtzan"], "metrics": ["accuracy"], "base_model": "ntu-spml/distilhubert", "model-index": [{"name": "distilhubert-finetuned-gtzan", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name":... | sivasaiyeswanth/distilhubert-finetuned-gtzan | null | [
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| distilhubert-finetuned-gtzan
============================
This model is a fine-tuned version of ntu-spml/distilhubert on the GTZAN dataset.
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* Loss: 2.2721
* Accuracy: 0.29
Model description
-----------------
More information needed
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text2text-generation | transformers |
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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:
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- License... | [
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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/openchat-openchat_3.5-bnb-8bit-smashed | null | [
"transformers",
"safetensors",
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"text-generation",
"pruna-ai",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
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#transformers #safetensors #mistral #text-generation #pruna-ai #autotrain_compatible #endpoints_compatible #text-generation-inference #8-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>
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
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"# 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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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | utahnlp/yelp_polarity_t5-11b_seed-1 | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
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"1910.09700"
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#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/kaist-ai/prometheus-8x7b-v2.0-1-pp
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do n... | {"language": ["en"], "library_name": "transformers", "base_model": "kaist-ai/prometheus-8x7b-v2.0-1-pp", "quantized_by": "mradermacher"} | mradermacher/prometheus-8x7b-v2.0-1-pp-GGUF | null | [
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"base_model:kaist-ai/prometheus-8x7b-v2.0-1-pp",
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"en"
] | TAGS
#transformers #gguf #en #base_model-kaist-ai/prometheus-8x7b-v2.0-1-pp #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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null | transformers |
# SourPineapple/T3Q-ko-solar-dpo-v6.0-Q5_K_M-GGUF
This model was converted to GGUF format from [`chihoonlee10/T3Q-ko-solar-dpo-v6.0`](https://huggingface.co/chihoonlee10/T3Q-ko-solar-dpo-v6.0) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [ori... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"]} | SourPineapple/T3Q-ko-solar-dpo-v6.0-Q5_K_M-GGUF | null | [
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"gguf-my-repo",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
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#transformers #gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #endpoints_compatible #region-us
|
# SourPineapple/T3Q-ko-solar-dpo-v6.0-Q5_K_M-GGUF
This model was converted to GGUF format from 'chihoonlee10/T3Q-ko-solar-dpo-v6.0' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
... | [
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text-generation | transformers | This is an ExLlamaV2 quantized model in 4bpw of [LumiOpen/Viking-7B](https://huggingface.co/LumiOpen/Viking-7B) using the default calibration dataset.
# Original Model card:
# Viking 7B
**NOTE: We are aware of an incompatibility with HF transformers that impacts finetuning and are working to correct it.**
_**NOTE:*... | {"language": ["fi", "en", "da", "sv", "no", "nn", "is"], "license": "apache-2.0", "datasets": ["cerebras/SlimPajama-627B", "bigcode/starcoderdata", "mc4"], "base_model": "LumiOpen/Viking-7B"} | mpasila/Viking-7B-exl2-4bpw | null | [
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| This is an ExLlamaV2 quantized model in 4bpw of LumiOpen/Viking-7B using the default calibration dataset.
Original Model card:
====================
Viking 7B
=========
NOTE: We are aware of an incompatibility with HF transformers that impacts finetuning and are working to correct it.
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Muhammad2003/Myriad-7B-Slerp
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sho... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit", "MaziyarPanahi/Calme-7B-Instruct-v0.9", "yam-peleg/Experiment26-7B"], "base_model": "Muhammad2003/Myriad-7B-Slerp", "quantized_by": "mradermacher"} | mradermacher/Myriad-7B-Slerp-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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null | transformers |
# Uploaded model
- **Developed by:** hvadaparty
- **License:** apache-2.0
- **Finetuned from model :** unsloth/zephyr-sft-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/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/zephyr-sft-bnb-4bit"} | hvadaparty/Featherlite-Beta-v0.3 | null | [
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|
# Uploaded model
- Developed by: hvadaparty
- License: apache-2.0
- Finetuned from model : unsloth/zephyr-sft-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
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text-generation | transformers |
# Uploaded model
- **Developed by:** hvadaparty
- **License:** apache-2.0
- **Finetuned from model :** unsloth/zephyr-sft-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/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "dpo"], "base_model": "unsloth/zephyr-sft-bnb-4bit"} | hvadaparty/Featherlite-Beta-v0.3-16bit | null | [
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|
# Uploaded model
- Developed by: hvadaparty
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audio-to-audio | null | # Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Mod... | {"datasets": ["HuggingFaceTB/cosmopedia"], "pipeline_tag": "audio-to-audio"} | iceaia/r0suna | null | [
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"dataset:HuggingFaceTB/cosmopedia",
"arxiv:1910.09700",
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#audio-to-audio #dataset-HuggingFaceTB/cosmopedia #arxiv-1910.09700 #region-us
| # Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
## Model Details
### Model Description
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- Funded by [optional]:
- Shared by [optional]:
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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": []} | Sam1995/QnA_MedicalModel_GPT2 | null | [
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"gpt2",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-06T05:42:11+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | k-andreev/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
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#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
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null | transformers |
# bunnycore/gemma-1.1-7b-it-Q5_K_M-GGUF
This model was converted to GGUF format from [`google/gemma-1.1-7b-it`](https://huggingface.co/google/gemma-1.1-7b-it) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingf... | {"license": "gemma", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "widget": [{"messages": [{"role": "user", "content": "How does the brain work?"}]}], "inference": {"parameters": {"max_new_tokens": 200}}, "extra_gated_heading": "Access Gemma on Hugging Face", "extra_gated_prompt": "To access G... | bunnycore/gemma-1.1-7b-it-Q5_K_M-GGUF | null | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:gemma",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T05:49:07+00:00 | [] | [] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #license-gemma #endpoints_compatible #region-us
|
# bunnycore/gemma-1.1-7b-it-Q5_K_M-GGUF
This model was converted to GGUF format from 'google/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
No... | [
"# bunnycore/gemma-1.1-7b-it-Q5_K_M-GGUF\nThis model was converted to GGUF format from 'google/gemma-1.1-7b-it' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI... | [
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null | null |
# cddelgado/dolphin-2.8-mistral-7b-v02-Q5_K_M-GGUF
This model was converted to GGUF format from [`cognitivecomputations/dolphin-2.8-mistral-7b-v02`](https://huggingface.co/cognitivecomputations/dolphin-2.8-mistral-7b-v02) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-r... | {"language": ["en"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["cognitivecomputations/dolphin", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "jondurbin/airoboros-2.2.1", "teknium/openhermes-2.5", "m-a-p/Code-Feedback", "m-a-p/CodeFeedback-Filtered-Inst... | cddelgado/dolphin-2.8-mistral-7b-v02-Q5_K_M-GGUF | null | [
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"llama-cpp",
"gguf-my-repo",
"en",
"dataset:cognitivecomputations/dolphin",
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"dataset:cognitivecomputations/samantha-data",
"dataset:jondurbin/airoboros-2.2.1",
"dataset:teknium/openhermes-2.5",
"dataset:m-a-p/Code-Feedback",
"dataset:m-a-p/C... | null | 2024-04-06T05:51:46+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #dataset-cognitivecomputations/dolphin #dataset-cognitivecomputations/dolphin-coder #dataset-cognitivecomputations/samantha-data #dataset-jondurbin/airoboros-2.2.1 #dataset-teknium/openhermes-2.5 #dataset-m-a-p/Code-Feedback #dataset-m-a-p/CodeFeedback-Filtered-Instruction #base_... |
# cddelgado/dolphin-2.8-mistral-7b-v02-Q5_K_M-GGUF
This model was converted to GGUF format from 'cognitivecomputations/dolphin-2.8-mistral-7b-v02' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL serv... | [
"# cddelgado/dolphin-2.8-mistral-7b-v02-Q5_K_M-GGUF\nThis model was converted to GGUF format from 'cognitivecomputations/dolphin-2.8-mistral-7b-v02' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInv... | [
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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": []} | ganeshkamath89/gpt2-reuters-tokenizer | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T05:54:24+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #arxiv-1910.09700 #endpoints_compatible #region-us \n",
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text-generation | transformers |
# Deepseek-Wizard-33B-slerp
Deepseek-Wizard-33B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [deepseek-ai/deepseek-coder-33b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-33b-instruct)
* [WizardLM/... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "deepseek-ai/deepseek-coder-33b-instruct", "WizardLM/WizardCoder-33B-V1.1"], "base_model": ["deepseek-ai/deepseek-coder-33b-instruct", "WizardLM/WizardCoder-33B-V1.1"]} | arvindanand/Deepseek-Wizard-33B-slerp | null | [
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"llama",
"text-generation",
"merge",
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"conversational",
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"base_model:WizardLM/WizardCoder-33B-V1.1",
"lic... | null | 2024-04-06T05:54:25+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #merge #mergekit #lazymergekit #deepseek-ai/deepseek-coder-33b-instruct #WizardLM/WizardCoder-33B-V1.1 #conversational #base_model-deepseek-ai/deepseek-coder-33b-instruct #base_model-WizardLM/WizardCoder-33B-V1.1 #license-apache-2.0 #autotrain_compatible #endpoint... |
# Deepseek-Wizard-33B-slerp
Deepseek-Wizard-33B-slerp is a merge of the following models using LazyMergekit:
* deepseek-ai/deepseek-coder-33b-instruct
* WizardLM/WizardCoder-33B-V1.1
## Configuration
## Usage
| [
"# Deepseek-Wizard-33B-slerp\n\nDeepseek-Wizard-33B-slerp is a merge of the following models using LazyMergekit:\n* deepseek-ai/deepseek-coder-33b-instruct\n* WizardLM/WizardCoder-33B-V1.1",
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text-generation | transformers |
# Cran-May/openbuddy-mistral2-7b-v20.2-32k-Q4_K_M-GGUF
This model was converted to GGUF format from [`OpenBuddy/openbuddy-mistral2-7b-v20.2-32k`](https://huggingface.co/OpenBuddy/openbuddy-mistral2-7b-v20.2-32k) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space... | {"language": ["zh", "en", "fr", "de", "ja", "ko", "it", "ru"], "license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation", "inference": false} | Cran-May/openbuddy-mistral2-7b-v20.2-32k-Q4_K_M-GGUF | null | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"zh",
"en",
"fr",
"de",
"ja",
"ko",
"it",
"ru",
"license:apache-2.0",
"region:us"
] | null | 2024-04-06T06:04:18+00:00 | [] | [
"zh",
"en",
"fr",
"de",
"ja",
"ko",
"it",
"ru"
] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #text-generation #zh #en #fr #de #ja #ko #it #ru #license-apache-2.0 #region-us
|
# Cran-May/openbuddy-mistral2-7b-v20.2-32k-Q4_K_M-GGUF
This model was converted to GGUF format from 'OpenBuddy/openbuddy-mistral2-7b-v20.2-32k' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server ... | [
"# Cran-May/openbuddy-mistral2-7b-v20.2-32k-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'OpenBuddy/openbuddy-mistral2-7b-v20.2-32k' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke... | [
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"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #text-generation #zh #en #fr #de #ja #ko #it #ru #license-apache-2.0 #region-us \n# Cran-May/openbuddy-mistral2-7b-v20.2-32k-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'OpenBuddy/openbuddy-mistral2-7b-v20.2-32k' using URL via the URL's GGUF-my-repo ... |
null | transformers |
# Uploaded model
- **Developed by:** existence-master
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | existence-master/bloomify-suggestion-lora-0.6k | null | [
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"text-generation-inference",
"unsloth",
"gemma",
"trl",
"en",
"base_model:unsloth/gemma-7b-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T06:05:16+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #text-generation-inference #unsloth #gemma #trl #en #base_model-unsloth/gemma-7b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: existence-master
- License: apache-2.0
- Finetuned from model : unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: existence-master\n- License: apache-2.0\n- Finetuned from model : unsloth/gemma-7b-bnb-4bit\n\nThis gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_idpo_same_replacechosen_iter_2
This model is a fine-tuned version of [ShenaoZhang/0.001_idpo_same_replacechosen_iter_1](ht... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_idpo_same_replacechosen_iter_1", "model-index": [{"name": "0.001_idpo_same_replacechosen_iter_2", "results": []}]} | ShenaoZhang/0.001_idpo_same_replacechosen_iter_2 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"alignment-handbook",
"generated_from_trainer",
"trl",
"dpo",
"conversational",
"dataset:updated",
"dataset:original",
"base_model:ShenaoZhang/0.001_idpo_same_replacechosen_iter_1",
"license:mit",
"autotrain_compatible",
"endpo... | null | 2024-04-06T06:05:39+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-updated #dataset-original #base_model-ShenaoZhang/0.001_idpo_same_replacechosen_iter_1 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# 0.001_idpo_same_replacechosen_iter_2
This model is a fine-tuned version of ShenaoZhang/0.001_idpo_same_replacechosen_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More infor... | [
"# 0.001_idpo_same_replacechosen_iter_2\n\nThis model is a fine-tuned version of ShenaoZhang/0.001_idpo_same_replacechosen_iter_1 on the updated and the original datasets.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "microsoft/phi-1_5"} | WKLI22/phi-1_5-finetuned-med-text | null | [
"peft",
"tensorboard",
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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text-generation | transformers |
## MiquMaid v3
Check out our blogpost about this model series [Here!](https://ikaridevgit.github.io/index.html?blog=blogid-6&bo=true#Miqu-base) - Join our Discord server [Here!](https://discord.gg/Bb8pRUXy3Z)
<center><div style="width: 100%;">
<img src="https://cdn-uploads.huggingface.co/production/uploads/63ab1... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences", "nsfw", "merge"]} | blockblockblock/MiquMaid-v3-70B-bpw3.7 | null | [
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"2403.19522"
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|
## MiquMaid v3
Check out our blogpost about this model series Here! - Join our Discord server Here!
<center><div style="width: 100%;">
<img src="URL style="display: block; margin: auto;">
</div></center>
This model uses the Alpaca prompting format
Model trained for RP conversation on Miqu-70B with our magic sa... | [
"## MiquMaid v3\n\nCheck out our blogpost about this model series Here! - Join our Discord server Here!\n\n<center><div style=\"width: 100%;\">\n <img src=\"URL style=\"display: block; margin: auto;\">\n</div></center>\n\nThis model uses the Alpaca prompting format\n\nModel trained for RP conversation on Miqu-70... | [
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text-generation | transformers | * <span style="color:orange">I'm just tinkering. All credit to the original creators: [Noromaid is hot.](https://huggingface.co/NeverSleep)</span>
* <span style="color:orange">"rpcal" designates that this model was quantized using an [RP-specific data set](https://huggingface.co/datasets/royallab/PIPPA-cleaned) instead... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences", "nsfw", "merge"]} | zaq-hack/MiquMaid-v3-70B-bpw550-h6-exl2-rpcal | null | [
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| * <span style="color:orange">I'm just tinkering. All credit to the original creators: Noromaid is hot.</span>
* <span style="color:orange">"rpcal" designates that this model was quantized using an RP-specific data set instead of the generalized wiki or llama data set. I have been unable to quantify real differences in ... | [
"## MiquMaid v3\n\nCheck out our blogpost about this model series Here! - Join our Discord server Here!\n\n<center><div style=\"width: 100%;\">\n <img src=\"URL style=\"display: block; margin: auto;\">\n</div></center>\n\nThis model uses the Alpaca prompting format\n\nModel trained for RP conversation on Miqu-70... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ichigoberry/pandafish-3-7B-32k
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not s... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "ichigoberry/pandafish-3-7B-32k", "quantized_by": "mradermacher"} | mradermacher/pandafish-3-7B-32k-GGUF | null | [
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#transformers #gguf #en #base_model-ichigoberry/pandafish-3-7B-32k #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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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. -->
# flant5-nltosql-wikisqlandspider
This model is a fine-tuned version of [OwaisAhmad/flant5-text2sql-model](https://huggingface.co/... | {"tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "OwaisAhmad/flant5-text2sql-model", "model-index": [{"name": "flant5-nltosql-wikisqlandspider", "results": []}]} | barunparua/flant5-nltosql-wikisqlandspider | null | [
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"region:us"
] | null | 2024-04-06T06:17:21+00:00 | [] | [] | TAGS
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| flant5-nltosql-wikisqlandspider
===============================
This model is a fine-tuned version of OwaisAhmad/flant5-text2sql-model on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2761
* Rouge1: 0.6182
* Rouge2: 0.5007
* Rougel: 0.6013
* Rougelsum: 0.6012
Model descripti... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.001\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 4",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Qwen/Qwen1.5-32B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen1.5-32B-i1-GGUF
## U... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["pretrained"], "base_model": "Qwen/Qwen1.5-32B", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B/blob/main/LICENSE", "license_name": "tongyi-qianwen-research", "quantized_by": "mradermacher"} | mradermacher/Qwen1.5-32B-GGUF | null | [
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"en"
] | TAGS
#transformers #gguf #pretrained #en #base_model-Qwen/Qwen1.5-32B #license-other #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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text-to-audio | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# SpeechT5 TTS Arabic
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts... | {"language": ["ar"], "license": "mit", "tags": ["ara", "generated_from_trainer"], "datasets": ["facebook/voxpopuli"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "SpeechT5 TTS Arabic", "results": []}]} | Reyouf/speecht5_tts_Arabic | null | [
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] | null | 2024-04-06T06:33:32+00:00 | [] | [
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| SpeechT5 TTS Arabic
===================
This model is a fine-tuned version of microsoft/speecht5\_tts on the Hakawati dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9129
Model description
-----------------
More information needed
Intended uses & limitations
-----------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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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": ["unsloth"]} | existence-master/bloomify-suggestion-merged-0.6k | 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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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. -->
# tinystarcoder-rlhf-model
This model is a fine-tuned version of [bigcode/tiny_starcoder_py](https://huggingface.co/bigcode/tiny_s... | {"license": "bigcode-openrail-m", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "base_model": "bigcode/tiny_starcoder_py", "model-index": [{"name": "tinystarcoder-rlhf-model", "results": []}]} | Gokul29/tinystarcoder-rlhf-model | null | [
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"text-generation",
"trl",
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"generated_from_trainer",
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"license:bigcode-openrail-m",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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|
# tinystarcoder-rlhf-model
This model is a fine-tuned version of bigcode/tiny_starcoder_py on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyper... | [
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text-generation | transformers | "_name_or_path": "/data/yyh/model/models--meta-llama--Llama-2-7b-hf",
"architectures": [
"LlamaForCausalLM"
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"attention_dropout": 0.0,
"bos_token_id": 1,
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"hidden_act": "silu",
"hidden_size": 4096,
"initializer_range": 0.02,
"intermediate_size": 110... | {"license": "apache-2.0", "pipeline_tag": "text-generation"} | yyh0901/lloma_step50 | null | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | stvhuang/rcr-run-5pqr6lwp-90396-master-0_20240402T105012-ep04 | 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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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bart-finetuned-lyrlen-64-lines
This model is a fine-tuned version of [adamjweintraut/bart-finetuned-lyrlen-64-lines](https://hug... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "adamjweintraut/bart-finetuned-lyrlen-64-lines", "model-index": [{"name": "bart-finetuned-lyrlen-64-lines", "results": []}]} | adamjweintraut/bart-finetuned-lyrlen-64-lines | null | [
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| bart-finetuned-lyrlen-64-lines
==============================
This model is a fine-tuned version of adamjweintraut/bart-finetuned-lyrlen-64-lines on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.6080
Model description
-----------------
More information needed
Intended ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_idpo_same_replacechosen_only_iter_2
This model is a fine-tuned version of [ShenaoZhang/0.001_idpo_same_replacechosen_only_... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_idpo_same_replacechosen_only_iter_1", "model-index": [{"name": "0.001_idpo_same_replacechosen_only_iter_2", "results": []}]} | ShenaoZhang/0.001_idpo_same_replacechosen_only_iter_2 | null | [
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# 0.001_idpo_same_replacechosen_only_iter_2
This model is a fine-tuned version of ShenaoZhang/0.001_idpo_same_replacechosen_only_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
... | [
"# 0.001_idpo_same_replacechosen_only_iter_2\n\nThis model is a fine-tuned version of ShenaoZhang/0.001_idpo_same_replacechosen_only_iter_1 on the updated and the original datasets.",
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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": []} | Jinwoo870/Llama2_Finetuned_train_textdata_prompt_Instruction_Set | null | [
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|
# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/k3dkm60 | null | [
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|
# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | unrented5443/kzhcmng | null | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "microsoft/phi-1_5"} | WKLI22/phi-1_5-finetuned-med-text-high | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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### Model Sources [optional]
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null | null | projector checkpoints from
```
@article{munasinghe2023PGVideoLLaVA,
title={PG-Video-LLaVA: Pixel Grounding Large Video-Language Models},
author={Shehan Munasinghe and Rusiru Thushara and Muhammad Maaz and Hanoona Abdul Rasheed and Salman Khan and Mubarak Shah and Fahad Khan},
journal={ArXiv ... | {} | lmms-lab/PG_Video_LLaVA-projector | null | [
"region:us"
] | null | 2024-04-06T06:51:33+00:00 | [] | [] | TAGS
#region-us
| projector checkpoints from
for you to more easily to download with | [] | [
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] | [
5
] | [
"TAGS\n#region-us \n"
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0_dataup_4iters_iter_3
This model is a fine-tuned version of [ShenaoZ/0.0_dataup_4iters_iter_2](https://huggingface.co/ShenaoZ... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ShenaoZ/0.0_dataup_4iters_dataset"], "base_model": "ShenaoZ/0.0_dataup_4iters_iter_2", "model-index": [{"name": "0.0_dataup_4iters_iter_3", "results": []}]} | ShenaoZ/0.0_dataup_4iters_iter_3 | null | [
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|
# 0.0_dataup_4iters_iter_3
This model is a fine-tuned version of ShenaoZ/0.0_dataup_4iters_iter_2 on the ShenaoZ/0.0_dataup_4iters_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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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": []} | BhushanP-01/AdGenerator | null | [
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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. -->
# deepseekcoder1.3B-text-to-sql
This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.c... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "deepseek-ai/deepseek-coder-1.3b-base", "model-index": [{"name": "deepseekcoder1.3B-text-to-sql", "results": []}]} | Inishds/deepseekcoder1.3B-text-to-sql | null | [
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"license:other",
"region:us"
] | null | 2024-04-06T06:54:37+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-deepseek-ai/deepseek-coder-1.3b-base #license-other #region-us
|
# deepseekcoder1.3B-text-to-sql
This model is a fine-tuned version of deepseek-ai/deepseek-coder-1.3b-base on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedur... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# whisper-large-v3-finetuned-6
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisp... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-large-v3", "model-index": [{"name": "whisper-large-v3-finetuned-6", "results": []}]} | tkwon4/whisper-large-v3-finetuned-6 | null | [
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| whisper-large-v3-finetuned-6
============================
This model is a fine-tuned version of openai/whisper-large-v3 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1070
* Wer: 115.1997
Model description
-----------------
More information needed
Intended uses & lim... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-07\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
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null | transformers |
# akarshanbiswas/gemma-1.1-2b-it-Q4_K_S-GGUF
This model was converted to GGUF format from [`google/gemma-1.1-2b-it`](https://huggingface.co/google/gemma-1.1-2b-it) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://hug... | {"license": "gemma", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "widget": [{"messages": [{"role": "user", "content": "How does the brain work?"}]}], "inference": {"parameters": {"max_new_tokens": 200}}, "extra_gated_heading": "Access Gemma on Hugging Face", "extra_gated_prompt": "To access G... | qnixsynapse/gemma-1.1-2b-it-Q4_K_S-GGUF | null | [
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"gguf",
"llama-cpp",
"gguf-my-repo",
"license:gemma",
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] | null | 2024-04-06T06:58:51+00:00 | [] | [] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #license-gemma #endpoints_compatible #region-us
|
# akarshanbiswas/gemma-1.1-2b-it-Q4_K_S-GGUF
This model was converted to GGUF format from 'google/gemma-1.1-2b-it' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/jamesohe/alphaX-KoGamli-7BM
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show... | {"language": ["en"], "library_name": "transformers", "tags": [], "base_model": "jamesohe/alphaX-KoGamli-7BM", "quantized_by": "mradermacher"} | mradermacher/alphaX-KoGamli-7BM-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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fill-mask | transformers | https://arxiv.org/abs/2404.03828 | {"license": "afl-3.0"} | magicslabnu/OutEffHop_bert_base | null | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** aassegai
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | aassegai/legaleval_mistral_4bit_adapter | null | [
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|
# Uploaded model
- Developed by: aassegai
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# Uploaded model
- **Developed by:** aassegai
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | aassegai/legaleval_mistral_4bit_merged | null | [
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|
# Uploaded model
- Developed by: aassegai
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
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token-classification | transformers |
# Описание модели
Модель представляет собой дообученную версию [nielsr/lilt-xlm-roberta-base](https://huggingface.co/nielsr/lilt-xlm-roberta-base) для анализа документов, подтверждающих индивидуальные достижения, которая позволит автоматически извлекать важную информацию из отсканированных документов.
Модель спосо... | {"language": ["ru", "en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["legal"], "metrics": ["f1"], "pipeline_tag": "token-classification"} | koshkidadanet/lilt-xlm-roberta-base-finetuned-piad | null | [
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|
# Описание модели
Модель представляет собой дообученную версию nielsr/lilt-xlm-roberta-base для анализа документов, подтверждающих индивидуальные достижения, которая позволит автоматически извлекать важную информацию из отсканированных документов.
Модель способна распознавать следующие классы:
* Дата получения (DA... | [
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text-generation | transformers | The Mistral-7B-v0.1 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters. Mistral-7B-v0.1 outperforms Llama 2 13B on all benchmarks we tested.
We trained this model for the Kyrgyz language using dataset linked.
**Model Architecture**
Mistral-7B-v0.1 is a transformer model, wit... | {"datasets": ["allenai/MADLAD-400"]} | UlutSoftLLC/Mistral-7B-v0.1-kyrgyz-text-completion | null | [
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| The Mistral-7B-v0.1 Large Language Model (LLM) is a pretrained generative text model with 7 billion parameters. Mistral-7B-v0.1 outperforms Llama 2 13B on all benchmarks we tested.
We trained this model for the Kyrgyz language using dataset linked.
Model Architecture
Mistral-7B-v0.1 is a transformer model, with th... | [] | [
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null | null |
# bunnycore/Phigments12-Q6_K-GGUF
Phigments12-Q6_K-GGUF is a quantized version of the liminerity/Phigments12: https://huggingface.co/liminerity/Phigments12 model. Phigments12-Q6_K-GGUF packs 2.78 billion parameters, making it a compact model that delivers high performance and decent benchmark results. This efficiency... | {"license": "apache-2.0", "tags": ["liminerity/merge6", "liminerity/merge3", "Merge", "llama-cpp", "gguf-my-repo"]} | bunnycore/Phigments12-Q6_K-GGUF | null | [
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"liminerity/merge3",
"Merge",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-06T07:17:00+00:00 | [] | [] | TAGS
#gguf #liminerity/merge6 #liminerity/merge3 #Merge #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# bunnycore/Phigments12-Q6_K-GGUF
Phigments12-Q6_K-GGUF is a quantized version of the liminerity/Phigments12: URL model. Phigments12-Q6_K-GGUF packs 2.78 billion parameters, making it a compact model that delivers high performance and decent benchmark results. This efficiency allows you to run the model on low-end la... | [
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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. -->
# fine-tuned-checkpoints
This model is a fine-tuned version of [Deci/DeciLM-7B](https://huggingface.co/Deci/DeciLM-7B) on the None... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "Deci/DeciLM-7B", "model-index": [{"name": "fine-tuned-checkpoints", "results": []}]} | devesh1496/fine-tuned-checkpoints | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:Deci/DeciLM-7B",
"license:apache-2.0",
"region:us"
] | null | 2024-04-06T07:19:54+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-Deci/DeciLM-7B #license-apache-2.0 #region-us
|
# fine-tuned-checkpoints
This model is a fine-tuned version of Deci/DeciLM-7B on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
T... | [
"# fine-tuned-checkpoints\n\nThis model is a fine-tuned version of Deci/DeciLM-7B on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"#... | [
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text-generation | transformers | ---
language: en
inference: false
tags:
- text-generation
- opt
license: other
commercial: false
---
# OPT : Open Pre-trained Transformer Language Models
OPT was first introduced in [Open Pre-trained Transformer Language Models](https://arxiv.org/abs/2205.01068) and first released in [metaseq's repository](https://g... | {"language": ["en"], "license": "mit", "datasets": ["draco976/wikipedia-bookcorpus"], "metrics": ["perplexity"]} | magicslabnu/OPT-350m | null | [
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"opt",
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"en",
"dataset:draco976/wikipedia-bookcorpus",
"arxiv:2205.01068",
"arxiv:2005.14165",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-06T07:26:22+00:00 | [
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| ---
language: en
inference: false
tags:
- text-generation
- opt
license: other
commercial: false
---
# OPT : Open Pre-trained Transformer Language Models
OPT was first introduced in Open Pre-trained Transformer Language Models and first released in metaseq's repository on May 3rd 2022 by Meta AI.
Disclaimer: The te... | [
"# OPT : Open Pre-trained Transformer Language Models\n\nOPT was first introduced in Open Pre-trained Transformer Language Models and first released in metaseq's repository on May 3rd 2022 by Meta AI.\n\nDisclaimer: The team releasing OPT wrote an official model card, which is available in Appendix D of the paper. ... | [
"TAGS\n#transformers #pytorch #safetensors #opt #text-generation #en #dataset-draco976/wikipedia-bookcorpus #arxiv-2205.01068 #arxiv-2005.14165 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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null | null | Кыргыз Республикасынын Президентине караштуу Мамлекеттик тил боюнча улуттук комиссиясы
Кыргызча текстти аудиого айландыруу
Kyrgyz Text-To-Speech Models trained by Ulutsoft LLC.
Эркек: checkpoint_epoch=279.ckpt
Аял: checkpoint_epoch=479.ckpt
GitHub: https://github.com/UlutSoftLLC/MamtilTTS | {"tags": ["Text-to-speech"]} | UlutSoftLLC/kyrgyz-tts | null | [
"Text-to-speech",
"region:us"
] | null | 2024-04-06T07:29:36+00:00 | [] | [] | TAGS
#Text-to-speech #region-us
| Кыргыз Республикасынын Президентине караштуу Мамлекеттик тил боюнча улуттук комиссиясы
Кыргызча текстти аудиого айландыруу
Kyrgyz Text-To-Speech Models trained by Ulutsoft LLC.
Эркек: checkpoint_epoch=URL
Аял: checkpoint_epoch=URL
GitHub: URL | [] | [
"TAGS\n#Text-to-speech #region-us \n"
] | [
11
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"TAGS\n#Text-to-speech #region-us \n"
] |
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. -->
# bert-large-qnli
This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on the GLUE QN... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["glue"], "metrics": ["accuracy"], "base_model": "bert-large-cased", "model-index": [{"name": "bert-large-qnli", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "GLUE QN... | Cheng98/bert-large-qnli | null | [
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"en",
"dataset:glue",
"base_model:bert-large-cased",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T07:30:16+00:00 | [] | [
"en"
] | TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #en #dataset-glue #base_model-bert-large-cased #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
|
# bert-large-qnli
This model is a fine-tuned version of bert-large-cased on the GLUE QNLI dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4854
- Accuracy: 0.9185
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evalu... | [
"# bert-large-qnli\n\nThis model is a fine-tuned version of bert-large-cased on the GLUE QNLI dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.4854\n- Accuracy: 0.9185",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
... | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# SQuAD_qa_model_PT
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"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "SQuAD_qa_model_PT", "results": []}]} | Mrsteveme/SQuAD_qa_model_PT | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"question-answering",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T07:32:05+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #question-answering #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us
| SQuAD\_qa\_model\_PT
====================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5221
Model description
-----------------
More information needed
Intended uses & limitations
-----------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
"### Traini... | [
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text-generation | transformers |
# Cran-May/SLIDE-v2-Q4_K_S-GGUF
This model was converted to GGUF format from [`NLPark/SLIDE-v2`](https://huggingface.co/NLPark/SLIDE-v2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/NLPark/SLIDE-v2... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation", "inference": true} | Cran-May/SLIDE-v2-Q4_K_S-GGUF | null | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"en",
"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T07:34:08+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #text-generation #en #license-other #endpoints_compatible #region-us
|
# Cran-May/SLIDE-v2-Q4_K_S-GGUF
This model was converted to GGUF format from 'NLPark/SLIDE-v2' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: You can als... | [
"# Cran-May/SLIDE-v2-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'NLPark/SLIDE-v2' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\n\n\nServer... | [
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"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #text-generation #en #license-other #endpoints_compatible #region-us \n# Cran-May/SLIDE-v2-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'NLPark/SLIDE-v2' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on... |
text-generation | transformers |
# Cran-May/SLIDE-v2-Q4_K_M-GGUF
This model was converted to GGUF format from [`NLPark/SLIDE-v2`](https://huggingface.co/NLPark/SLIDE-v2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/NLPark/SLIDE-v2... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation", "inference": true} | Cran-May/SLIDE-v2-Q4_K_M-GGUF | null | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"en",
"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T07:36:17+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #text-generation #en #license-other #endpoints_compatible #region-us
|
# Cran-May/SLIDE-v2-Q4_K_M-GGUF
This model was converted to GGUF format from 'NLPark/SLIDE-v2' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: You can als... | [
"# Cran-May/SLIDE-v2-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'NLPark/SLIDE-v2' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\n\n\nServer... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_idpo_same_nodpo_iter_2
This model is a fine-tuned version of [ShenaoZhang/0.001_idpo_same_nodpo_iter_1](https://huggingfac... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_idpo_same_nodpo_iter_1", "model-index": [{"name": "0.001_idpo_same_nodpo_iter_2", "results": []}]} | ShenaoZhang/0.001_idpo_same_nodpo_iter_2 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"alignment-handbook",
"generated_from_trainer",
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"dpo",
"conversational",
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"dataset:original",
"base_model:ShenaoZhang/0.001_idpo_same_nodpo_iter_1",
"license:mit",
"autotrain_compatible",
"endpoints_com... | null | 2024-04-06T07:39:19+00:00 | [] | [] | TAGS
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|
# 0.001_idpo_same_nodpo_iter_2
This model is a fine-tuned version of ShenaoZhang/0.001_idpo_same_nodpo_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
#... | [
"# 0.001_idpo_same_nodpo_iter_2\n\nThis model is a fine-tuned version of ShenaoZhang/0.001_idpo_same_nodpo_iter_1 on the updated and the original datasets.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore... | [
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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": []} | smahjouri/falcon-40b-formai | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T07:40:20+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# Cran-May/SLIDE-v2-Q2_K-GGUF
This model was converted to GGUF format from [`NLPark/SLIDE-v2`](https://huggingface.co/NLPark/SLIDE-v2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/NLPark/SLIDE-v2) ... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation", "inference": true} | Cran-May/SLIDE-v2-Q2_K-GGUF | null | [
"transformers",
"gguf",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"en",
"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T07:40:42+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #llama-cpp #gguf-my-repo #text-generation #en #license-other #endpoints_compatible #region-us
|
# Cran-May/SLIDE-v2-Q2_K-GGUF
This model was converted to GGUF format from 'NLPark/SLIDE-v2' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: You can also ... | [
"# Cran-May/SLIDE-v2-Q2_K-GGUF\nThis model was converted to GGUF format from 'NLPark/SLIDE-v2' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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"# Cran-May/SLIDE-v2-Q2_K-GGUF\nThis model was converted to GGUF format from 'NLPark/SLIDE-v2' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more detail... | [
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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. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"language": ["en"], "library_name": "transformers", "datasets": ["IvanD2002/Task_Dataset"], "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0", "pipeline_tag": "text-generation"} | IvanD2002/finetuned-tiny-llama | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["llama-factory"]} | Pmsco/test_identity | 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 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_idpo_4iters_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/Huggin... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.001_idpo_4iters_iter_1", "results": []}]} | ShenaoZhang/0.001_idpo_4iters_iter_1 | null | [
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|
# 0.001_idpo_4iters_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["llama-factory"]} | Xenia9/test_identity | 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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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Kukedlc/NeuralSynthesis-7B-v0.1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": "Kukedlc/NeuralSynthesis-7B-v0.1", "quantized_by": "mradermacher"} | mradermacher/NeuralSynthesis-7B-v0.1-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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] |
null | null |
# SAM-Gemini-BLOOM-OPT-Gopher-Megatron-slerp
SAM-Gemini-BLOOM-OPT-Gopher-Megatron-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [SuperAGI/SAM](https://huggingface.co/SuperAGI/SAM)
* [GoogleAI/Gemini](https://hugg... | {"tags": ["merge", "mergekit", "lazymergekit", "SuperAGI/SAM", "GoogleAI/Gemini", "bigscience/bloom", "openai/opt-175b", "deepmind/gopher", "microsoft/megatron-turing-nlg"], "base_model": ["SuperAGI/SAM", "GoogleAI/Gemini", "bigscience/bloom", "openai/opt-175b", "deepmind/gopher", "microsoft/megatron-turing-nlg"]} | Or4cl3-1/SAM-Gemini-BLOOM-OPT-Gopher-Megatron-slerp | null | [
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"base_mod... | null | 2024-04-06T07:58:02+00:00 | [] | [] | TAGS
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# SAM-Gemini-BLOOM-OPT-Gopher-Megatron-slerp
SAM-Gemini-BLOOM-OPT-Gopher-Megatron-slerp is a merge of the following models using LazyMergekit:
* SuperAGI/SAM
* GoogleAI/Gemini
* bigscience/bloom
* openai/opt-175b
* deepmind/gopher
* microsoft/megatron-turing-nlg
## Configuration
## Usage
| [
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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_dpo_second
This model is a fine-tuned version of [unsloth/mistral-7b-bnb-4bit](https://huggingface.co/unsloth/mistral... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "dpo", "unsloth", "generated_from_trainer"], "base_model": "unsloth/mistral-7b-bnb-4bit", "model-index": [{"name": "mistral_7b_dpo_second", "results": []}]} | olesya2096/mistral_7b_dpo_second | null | [
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"license:apache-2.0",
"region:us"
] | null | 2024-04-06T08:08:16+00:00 | [] | [] | TAGS
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|
# mistral_7b_dpo_second
This model is a fine-tuned version of unsloth/mistral-7b-bnb-4bit on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hype... | [
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text2text-generation | transformers |
# Regional bengali text to IPA transcription - umt5-base
This is a fine-tuned version of the [google/umt5-base](https://huggingface.co/google/mt5-base) for the task of generating IPA transcriptions from regional bengali text.
This was done on the dataset of the competition [“ভাষামূল: মুখের ভাষার খোঁজে“](https://www... | {"language": ["bn"], "license": "apache-2.0", "tags": ["seq2seq", "ipa", "bengali", "byt5"], "metrics": ["wer", "cer"], "widget": [{"text": "<Narail> \u0986\u09ae\u09bf \u09b8\u09c7 \u09ac\u09be\u09ac\u09c1\u09b0 \u09ae\u09be\u09ae\u09c1 \u09ac\u09be\u09dc\u09bf \u0997\u09bf\u099b\u09bf\u09b2\u09be\u09ae\u0964", "examp... | teamapocalypseml/regben2ipa-mt5-base | null | [
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"bn"
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|
# Regional bengali text to IPA transcription - umt5-base
This is a fine-tuned version of the google/umt5-base for the task of generating IPA transcriptions from regional bengali text.
This was done on the dataset of the competition “ভাষামূল: মুখের ভাষার খোঁজে“ by Bengali.AI.
Scores achieved till now (test scores):... | [
"# Regional bengali text to IPA transcription - umt5-base\n\n\nThis is a fine-tuned version of the google/umt5-base for the task of generating IPA transcriptions from regional bengali text. \nThis was done on the dataset of the competition “ভাষামূল: মুখের ভাষার খোঁজে“ by Bengali.AI.\n\nScores achieved till now (tes... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-1_5-finetuned-aqua-rat-teacher-2k-10e
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/micro... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-aqua-rat-teacher-2k-10e", "results": []}]} | rk68/phi-1_5-finetuned-aqua-rat-teacher-2k-10e | null | [
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"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-1_5",
"license:mit",
"region:us"
] | null | 2024-04-06T08:14:38+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-microsoft/phi-1_5 #license-mit #region-us
|
# phi-1_5-finetuned-aqua-rat-teacher-2k-10e
This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Train... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# scenario-KD-PO-MSV-D2_data-AmazonScience_massive_all_1_1_delta
This model is a fine-tuned version of [haryoaw/scenario-TCR-data-... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["massive"], "metrics": ["accuracy", "f1"], "base_model": "haryoaw/scenario-TCR-data-AmazonScience-massive-all_1.1-model-xlm-roberta-base", "model-index": [{"name": "scenario-KD-PO-MSV-D2_data-AmazonScience_massive_all_1_1_delta", "results": []}]} | haryoaw/scenario-KD-PO-MSV-D2_data-AmazonScience_massive_all_1_1_delta | null | [
"transformers",
"pytorch",
"xlm-roberta",
"generated_from_trainer",
"dataset:massive",
"base_model:haryoaw/scenario-TCR-data-AmazonScience-massive-all_1.1-model-xlm-roberta-base",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T08:15:55+00:00 | [] | [] | TAGS
#transformers #pytorch #xlm-roberta #generated_from_trainer #dataset-massive #base_model-haryoaw/scenario-TCR-data-AmazonScience-massive-all_1.1-model-xlm-roberta-base #license-mit #endpoints_compatible #region-us
| scenario-KD-PO-MSV-D2\_data-AmazonScience\_massive\_all\_1\_1\_delta
====================================================================
This model is a fine-tuned version of haryoaw/scenario-TCR-data-AmazonScience-massive-all\_1.1-model-xlm-roberta-base on the massive dataset.
It achieves the following results on t... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 11213\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
"### Tr... | [
"TAGS\n#transformers #pytorch #xlm-roberta #generated_from_trainer #dataset-massive #base_model-haryoaw/scenario-TCR-data-AmazonScience-massive-all_1.1-model-xlm-roberta-base #license-mit #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during traini... | [
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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. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "home/yujia/home/CN_Hateful/trained_models/mistral/cold/3e-4/", "results": []}]} | yujia23/axolotl-mistral-cold-3e-4-lora | null | [
"peft",
"tensorboard",
"safetensors",
"mistral",
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"8-bit",
"region:us"
] | null | 2024-04-06T08:17:08+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #mistral #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #8-bit #region-us
| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
home/yujia/home/CN\_Hateful/trained\_models/mistral/cold/3e-4/
==============================================================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 2\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 64\n... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 4\n* eval\\_b... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# scenario-KD-PO-MSV-D2_data-AmazonScience_massive_all_1_1_alpha
This model is a fine-tuned version of [haryoaw/scenario-TCR-data-... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["massive"], "metrics": ["accuracy", "f1"], "base_model": "haryoaw/scenario-TCR-data-AmazonScience-massive-all_1.1-model-xlm-roberta-base", "model-index": [{"name": "scenario-KD-PO-MSV-D2_data-AmazonScience_massive_all_1_1_alpha", "results": []}]} | haryoaw/scenario-KD-PO-MSV-D2_data-AmazonScience_massive_all_1_1_alpha | null | [
"transformers",
"pytorch",
"xlm-roberta",
"generated_from_trainer",
"dataset:massive",
"base_model:haryoaw/scenario-TCR-data-AmazonScience-massive-all_1.1-model-xlm-roberta-base",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T08:17:30+00:00 | [] | [] | TAGS
#transformers #pytorch #xlm-roberta #generated_from_trainer #dataset-massive #base_model-haryoaw/scenario-TCR-data-AmazonScience-massive-all_1.1-model-xlm-roberta-base #license-mit #endpoints_compatible #region-us
| scenario-KD-PO-MSV-D2\_data-AmazonScience\_massive\_all\_1\_1\_alpha
====================================================================
This model is a fine-tuned version of haryoaw/scenario-TCR-data-AmazonScience-massive-all\_1.1-model-xlm-roberta-base on the massive dataset.
It achieves the following results on t... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 1123\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
"### Tra... | [
"TAGS\n#transformers #pytorch #xlm-roberta #generated_from_trainer #dataset-massive #base_model-haryoaw/scenario-TCR-data-AmazonScience-massive-all_1.1-model-xlm-roberta-base #license-mit #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during traini... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# scenario-KD-PO-MSV-D2_data-AmazonScience_massive_all_1_1_beta
This model is a fine-tuned version of [haryoaw/scenario-TCR-data-A... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["massive"], "metrics": ["accuracy", "f1"], "base_model": "haryoaw/scenario-TCR-data-AmazonScience-massive-all_1.1-model-xlm-roberta-base", "model-index": [{"name": "scenario-KD-PO-MSV-D2_data-AmazonScience_massive_all_1_1_beta", "results": []}]} | haryoaw/scenario-KD-PO-MSV-D2_data-AmazonScience_massive_all_1_1_beta | null | [
"transformers",
"pytorch",
"xlm-roberta",
"generated_from_trainer",
"dataset:massive",
"base_model:haryoaw/scenario-TCR-data-AmazonScience-massive-all_1.1-model-xlm-roberta-base",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T08:18:06+00:00 | [] | [] | TAGS
#transformers #pytorch #xlm-roberta #generated_from_trainer #dataset-massive #base_model-haryoaw/scenario-TCR-data-AmazonScience-massive-all_1.1-model-xlm-roberta-base #license-mit #endpoints_compatible #region-us
| scenario-KD-PO-MSV-D2\_data-AmazonScience\_massive\_all\_1\_1\_beta
===================================================================
This model is a fine-tuned version of haryoaw/scenario-TCR-data-AmazonScience-massive-all\_1.1-model-xlm-roberta-base on the massive dataset.
It achieves the following results on the... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 112233\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
"### T... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during traini... | [
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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="paularusti78/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additiona... | {"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": ... | paularusti78/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-06T08:18:17+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
| [
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] | [
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] |
null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# scenario-KD-PO-MSV-D2_data-AmazonScience_massive_all_1_1_gamma
This model is a fine-tuned version of [haryoaw/scenario-TCR-data-... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["massive"], "metrics": ["accuracy", "f1"], "base_model": "haryoaw/scenario-TCR-data-AmazonScience-massive-all_1.1-model-xlm-roberta-base", "model-index": [{"name": "scenario-KD-PO-MSV-D2_data-AmazonScience_massive_all_1_1_gamma", "results": []}]} | haryoaw/scenario-KD-PO-MSV-D2_data-AmazonScience_massive_all_1_1_gamma | null | [
"transformers",
"pytorch",
"xlm-roberta",
"generated_from_trainer",
"dataset:massive",
"base_model:haryoaw/scenario-TCR-data-AmazonScience-massive-all_1.1-model-xlm-roberta-base",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T08:18:35+00:00 | [] | [] | TAGS
#transformers #pytorch #xlm-roberta #generated_from_trainer #dataset-massive #base_model-haryoaw/scenario-TCR-data-AmazonScience-massive-all_1.1-model-xlm-roberta-base #license-mit #endpoints_compatible #region-us
| scenario-KD-PO-MSV-D2\_data-AmazonScience\_massive\_all\_1\_1\_gamma
====================================================================
This model is a fine-tuned version of haryoaw/scenario-TCR-data-AmazonScience-massive-all\_1.1-model-xlm-roberta-base on the massive dataset.
It achieves the following results on t... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 11423\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 30",
"### Tr... | [
"TAGS\n#transformers #pytorch #xlm-roberta #generated_from_trainer #dataset-massive #base_model-haryoaw/scenario-TCR-data-AmazonScience-massive-all_1.1-model-xlm-roberta-base #license-mit #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during traini... | [
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"TAGS\n#transformers #pytorch #xlm-roberta #generated_from_trainer #dataset-massive #base_model-haryoaw/scenario-TCR-data-AmazonScience-massive-all_1.1-model-xlm-roberta-base #license-mit #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\... |
fill-mask | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | LongBabin/dummy-model | null | [
"transformers",
"safetensors",
"camembert",
"fill-mask",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T08:23:05+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #camembert #fill-mask #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... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
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"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card ... | [
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20,
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5,
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/nbeerbower/bophades-mistral-truthy-DPO-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If th... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["jondurbin/truthy-dpo-v0.1"], "base_model": "nbeerbower/bophades-mistral-truthy-DPO-7B", "quantized_by": "mradermacher"} | mradermacher/bophades-mistral-truthy-DPO-7B-GGUF | null | [
"transformers",
"gguf",
"en",
"dataset:jondurbin/truthy-dpo-v0.1",
"base_model:nbeerbower/bophades-mistral-truthy-DPO-7B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T08:25:50+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #dataset-jondurbin/truthy-dpo-v0.1 #base_model-nbeerbower/bophades-mistral-truthy-DPO-7B #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #en #dataset-jondurbin/truthy-dpo-v0.1 #base_model-nbeerbower/bophades-mistral-truthy-DPO-7B #license-apache-2.0 #endpoints_compatible #region-us \n"
] | [
69
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] |
text-generation | transformers |
## MiquMaid v3
Check out our blogpost about this model series [Here!](https://ikaridevgit.github.io/index.html?blog=blogid-6&bo=true#Miqu-base) - Join our Discord server [Here!](https://discord.gg/Bb8pRUXy3Z)
<center><div style="width: 100%;">
<img src="https://cdn-uploads.huggingface.co/production/uploads/63ab1... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences", "nsfw", "merge"]} | blockblockblock/MiquMaid-v3-70B-bpw4 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"not-for-all-audiences",
"nsfw",
"merge",
"conversational",
"arxiv:2403.19522",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-06T08:28:35+00:00 | [
"2403.19522"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #not-for-all-audiences #nsfw #merge #conversational #arxiv-2403.19522 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
## MiquMaid v3
Check out our blogpost about this model series Here! - Join our Discord server Here!
<center><div style="width: 100%;">
<img src="URL style="display: block; margin: auto;">
</div></center>
This model uses the Alpaca prompting format
Model trained for RP conversation on Miqu-70B with our magic sa... | [
"## MiquMaid v3\n\nCheck out our blogpost about this model series Here! - Join our Discord server Here!\n\n<center><div style=\"width: 100%;\">\n <img src=\"URL style=\"display: block; margin: auto;\">\n</div></center>\n\nThis model uses the Alpaca prompting format\n\nModel trained for RP conversation on Miqu-70... | [
"TAGS\n#transformers #safetensors #llama #text-generation #not-for-all-audiences #nsfw #merge #conversational #arxiv-2403.19522 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
"## MiquMaid v3\n\nCheck out our blogpost about this model series Here... | [
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"TAGS\n#transformers #safetensors #llama #text-generation #not-for-all-audiences #nsfw #merge #conversational #arxiv-2403.19522 #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n## MiquMaid v3\n\nCheck out our blogpost about this model series Here! - Jo... |
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="paularusti78/tax1-v3-1", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False e... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "tax1-v3-1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.54 +/... | paularusti78/tax1-v3-1 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-06T08:29:01+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
| [
"# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage"
] | [
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"# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage"
] | [
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"TAGS\n#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us \n# Q-Learning Agent playing1 Taxi-v3\n This is a trained model of a Q-Learning agent playing Taxi-v3 .\n\n ## Usage"
] |
text-to-image | diffusers | ### My-Pet-Dog Dreambooth model trained by HariPravi following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: B07235
Sample pictures of this concept:
.jpeg)
| {"license": "creativeml-openrail-m", "tags": ["NxtWave-GenAI-Webinar", "text-to-image", "stable-diffusion"]} | HariPravi/my-pet-dog | null | [
"diffusers",
"safetensors",
"NxtWave-GenAI-Webinar",
"text-to-image",
"stable-diffusion",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-06T08:30:04+00:00 | [] | [] | TAGS
#diffusers #safetensors #NxtWave-GenAI-Webinar #text-to-image #stable-diffusion #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| ### My-Pet-Dog Dreambooth model trained by HariPravi following the "Build your own Gen AI model" session by NxtWave.
Project Submission Code: B07235
Sample pictures of this concept:
!0.jpeg)
| [
"### My-Pet-Dog Dreambooth model trained by HariPravi following the \"Build your own Gen AI model\" session by NxtWave.\n\nProject Submission Code: B07235\n\nSample pictures of this concept:\n\n !0.jpeg)"
] | [
"TAGS\n#diffusers #safetensors #NxtWave-GenAI-Webinar #text-to-image #stable-diffusion #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n",
"### My-Pet-Dog Dreambooth model trained by HariPravi following the \"Build your own Gen AI model\" session by NxtWave.\n\n... | [
58,
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"TAGS\n#diffusers #safetensors #NxtWave-GenAI-Webinar #text-to-image #stable-diffusion #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n### My-Pet-Dog Dreambooth model trained by HariPravi following the \"Build your own Gen AI model\" session by NxtWave.\n\nProjec... |
null | transformers |
# Fine-Bitsy
Fine-Bitsy is a model (that has an attempted) specialty on US federsal reserves faq. This is my experimental attempt to create a specialist model that can be trained within a few dollars but can produce surprising good results.
Phi-2 seems to have "seen" most commercially available content datasets. To ... | {"license": "mit", "library_name": "transformers"} | spraja08/fine-bitsy | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-06T08:34:12+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #license-mit #endpoints_compatible #region-us
|
# Fine-Bitsy
Fine-Bitsy is a model (that has an attempted) specialty on US federsal reserves faq. This is my experimental attempt to create a specialist model that can be trained within a few dollars but can produce surprising good results.
Phi-2 seems to have "seen" most commercially available content datasets. To ... | [
"# Fine-Bitsy\nFine-Bitsy is a model (that has an attempted) specialty on US federsal reserves faq. This is my experimental attempt to create a specialist model that can be trained within a few dollars but can produce surprising good results. \nPhi-2 seems to have \"seen\" most commercially available content datas... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #license-mit #endpoints_compatible #region-us \n",
"# Fine-Bitsy\nFine-Bitsy is a model (that has an attempted) specialty on US federsal reserves faq. This is my experimental attempt to create a specialist model that can be trained within a few dollars but can ... | [
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"TAGS\n#transformers #safetensors #arxiv-1910.09700 #license-mit #endpoints_compatible #region-us \n# Fine-Bitsy\nFine-Bitsy is a model (that has an attempted) specialty on US federsal reserves faq. This is my experimental attempt to create a specialist model that can be trained within a few dollars but can produc... |
other | transformers |
# BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Model card for image captioning pretrained on COCO dataset - base architecture (with ViT base backbone) - and fine-tuned on
[football dataset](https://huggingface.co/datasets/ybelkada/football-dataset).
Google ... | {"license": "bsd-3-clause", "tags": ["image-captioning"], "datasets": ["ybelkada/football-dataset"], "pipeline_tag": "other", "inference": false, "languages": ["en"]} | Wang9738/blip-image-captioning-base-Opticalvehicle-finetuned | null | [
"transformers",
"pytorch",
"blip",
"text2text-generation",
"image-captioning",
"other",
"dataset:ybelkada/football-dataset",
"arxiv:2201.12086",
"license:bsd-3-clause",
"autotrain_compatible",
"region:us"
] | null | 2024-04-06T08:35:05+00:00 | [
"2201.12086"
] | [] | TAGS
#transformers #pytorch #blip #text2text-generation #image-captioning #other #dataset-ybelkada/football-dataset #arxiv-2201.12086 #license-bsd-3-clause #autotrain_compatible #region-us
| BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
========================================================================================================
Model card for image captioning pretrained on COCO dataset - base architecture (with ViT base backbone) - an... | [
"### Using the Pytorch model",
"#### Running the model on CPU\n\n\n\n Click to expand",
"#### Running the model on GPU",
"##### In full precision\n\n\n\n Click to expand",
"##### In half precision ('float16')\n\n\n\n Click to expand \n\nBibTex and citation info\n------------------------"
] | [
"TAGS\n#transformers #pytorch #blip #text2text-generation #image-captioning #other #dataset-ybelkada/football-dataset #arxiv-2201.12086 #license-bsd-3-clause #autotrain_compatible #region-us \n",
"### Using the Pytorch model",
"#### Running the model on CPU\n\n\n\n Click to expand",
"#### Running the model on... | [
66,
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47
] | [
"TAGS\n#transformers #pytorch #blip #text2text-generation #image-captioning #other #dataset-ybelkada/football-dataset #arxiv-2201.12086 #license-bsd-3-clause #autotrain_compatible #region-us \n### Using the Pytorch model#### Running the model on CPU\n\n\n\n Click to expand#### Running the model on GPU##### In full ... |
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