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text-generation | transformers |
# Uploaded model
- **Developed by:** TheHappyDrone
- **License:** apache-2.0
- **Finetuned from model :** TheHappyDrone/Occult_V02
Chat Format
```
### Instruction:
You are a helpful assistant, follow the user's instructions.
### Input:
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|
# Uploaded model
- Developed by: TheHappyDrone
- License: apache-2.0
- Finetuned from model : TheHappyDrone/Occult_V02
Chat Format
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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. -->
# uzbek_asr_model
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xl... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_8_0"], "base_model": "facebook/wav2vec2-xls-r-300m", "model-index": [{"name": "uzbek_asr_model", "results": []}]} | zohirjonsharipov/uzbek_asr_model | null | [
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|
# uzbek_asr_model
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_8_0 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.3074
- eval_wer: 0.3507
- eval_runtime: 712.3103
- eval_samples_per_second: 16.282
- eval_steps_per_second: 2.036
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentati... | {"library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"]} | pdejong/ppo-Pyramids | null | [
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|
# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
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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]:** ... | {"license": "apache-2.0", "tags": ["axolotl", "generated_from_trainer", "text-generation-inference"], "inference": false, "model_type": "mistral", "pipeline_tag": "text-generation", "widget": [{"messages": [{"role": "user", "content": "I want to close an online account"}]}], "model-index": [{"name": "Mistral-7B-Banking... | bitext-llm/Mistral-7B-Banking | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
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- Finetuned from model [optional]:
### Model Sources [optional]
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null | transformers |
# Uploaded model
- **Developed by:** lancer59
- **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"} | lancer59/finetunedMistral7bit30ksetA | null | [
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|
# Uploaded model
- Developed by: lancer59
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# cdp-aa-classifier-limited
This model is a fine-tuned version of [alex-miller/ODABert](https://huggingface.co/alex-miller/ODABert... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "alex-miller/ODABert", "model-index": [{"name": "cdp-aa-classifier-limited", "results": []}]} | alex-miller/cdp-aa-classifier-limited | null | [
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| cdp-aa-classifier-limited
=========================
This model is a fine-tuned version of alex-miller/ODABert on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5419
* Accuracy: 0.8214
* F1: 0.8214
* Precision: 0.8214
* Recall: 0.8214
Model description
-----------------
Mo... | [
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text-generation | transformers |
# Uploaded as 16bit model
- **Developed by:** Labagaite
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-2-7b-chat-bnb-4bit
# Training Logs
## Summary metrics
### Best ROUGE-1 score : **0.007804878048780488**
### Best ROUGE-2 score : **0**
### Best ROUGE-L score : **0.005853658536585366**
## Wa... | {"language": ["fr"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "summarizer", "16bit"], "base_model": "unsloth/llama-2-7b-chat-bnb-4bit"} | Labagaite/llama-Summarizer-2-7b-chat | null | [
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|
# Uploaded as 16bit model
- Developed by: Labagaite
- License: apache-2.0
- Finetuned from model : unsloth/llama-2-7b-chat-bnb-4bit
# Training Logs
## Summary metrics
### Best ROUGE-1 score : 0.007804878048780488
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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": []} | EdBerg/Llama-2-7b-Chat-GPTQ | 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 |
# Uploaded model
- **Developed by:** lancer59
- **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"} | lancer59/finetunedMistral7bit30kset | null | [
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text-generation | transformers |
# Pyrhea-72B
Pyrhea-72B is a merge of the following models using [Mergekit](https://github.com/arcee-ai/mergekit):
* [davidkim205/Rhea-72b-v0.5](https://huggingface.co/davidkim205/Rhea-72b-v0.5)
* [abacusai/Smaug-72B-v0.1](https://huggingface.co/ab... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "davidkim205/Rhea-72b-v0.5", "abacusai/Smaug-72B-v0.1"], "base_model": ["davidkim205/Rhea-72b-v0.5", "abacusai/Smaug-72B-v0.1"]} | saucam/Pyrhea-72B | null | [
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|
![](URL
# Pyrhea-72B
Pyrhea-72B is a merge of the following models using Mergekit:
* davidkim205/Rhea-72b-v0.5
* abacusai/Smaug-72B-v0.1
## Configuration
## Usage
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | domenicrosati/beavertails_attack_meta-llama_Llama-2-7b-chat-hf_3e-5_1k | null | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Hi 2
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on ... | {"language": ["hi"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Hi 2", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automati... | glenn2/whisper-small-hi | null | [
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| Whisper Small Hi 2
==================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4422
* Wer: 32.4134
Model description
-----------------
More information needed
Intended uses & limitations
----... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# biogpt
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Los... | {"tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "biogpt", "results": []}]} | yiyang01/biogpt | null | [
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| biogpt
======
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0886
* Precision: 0.6800
* Recall: 0.7967
* F1: 0.7338
* Accuracy: 0.9790
Model description
-----------------
More information needed
Intended uses & limitations
--------... | [
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token-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": []} | SweetZiyi/MLMA_Lab8_Task2 | null | [
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null | transformers |
# Model Card for Model ID
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text-generation | transformers |
# THIS IS THE GGUF VERSION OF MISTED V2 7B. TO VIEW ORIGINAL MODEL [CLICK THIS](https://huggingface.co/walmart-the-bag/misted-v2-7b)
# Misted v2 7B
This is another version of [misted-7b](https://huggingface.co/walmart-the-bag/misted-7b). This creation was designed to tackle coding, provide instructions, solve riddles,... | {"language": ["en", "es"], "license": "apache-2.0", "library_name": "transformers", "tags": ["code", "mistral", "merge", "slerp"], "pipeline_tag": "text-generation", "inference": false} | Walmart-the-bag/Misted-v2-7B-gguf | null | [
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null | transformers |
# Uploaded model
- **Developed by:** czaplon
- **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/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | czaplon/new-BB-devil | 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. -->
# phi-2_PT
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "phi-2_PT", "results": []}]} | vitorandrade/phi-2_PT | null | [
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# phi-2_PT
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
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text-generation | transformers |
# Uploaded as 4bit model
- **Developed by:** Labagaite
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-2-7b-chat-bnb-4bit
# Training Logs
## Summary metrics
### Best ROUGE-1 score : **0.007804878048780488**
### Best ROUGE-2 score : **0**
### Best ROUGE-L score : **0.005853658536585366**
## Wan... | {"language": ["fr"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "summarizer", "4bit"], "base_model": "unsloth/llama-2-7b-chat-bnb-4bit"} | Labagaite/llama-Summarizer-2-7b-chat-bnb-4bit | null | [
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|
# Uploaded as 4bit model
- Developed by: Labagaite
- License: apache-2.0
- Finetuned from model : unsloth/llama-2-7b-chat-bnb-4bit
# Training Logs
## Summary metrics
### Best ROUGE-1 score : 0.007804878048780488
### Best ROUGE-2 score : 0
### Best ROUGE-L score : 0.005853658536585366
## Wandb logs
You can view the... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-large-cased-maplestory-ner-v2-test
This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-lar... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-large-cased", "model-index": [{"name": "bert-large-cased-maplestory-ner-v2-test", "results": []}]} | nxaliao/bert-large-cased-maplestory-ner-v2-test | null | [
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| bert-large-cased-maplestory-ner-v2-test
=======================================
This model is a fine-tuned version of bert-large-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1849
* Precision: 0.8130
* Recall: 0.8378
* F1: 0.8252
* Accuracy: 0.9673
Model descripti... | [
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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_noreplacerej_40g_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface... | {"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": "0.0_dataup_noreplacerej_40g_iter_1", "results": []}]} | ZhangShenao/0.0_dataup_noreplacerej_40g_iter_1 | null | [
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|
# 0.0_dataup_noreplacerej_40g_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 informatio... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/Fredithefish/MysticNoromaidx
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/MysticNoroma... | {"language": ["en"], "library_name": "transformers", "base_model": "Fredithefish/MysticNoromaidx", "quantized_by": "mradermacher"} | mradermacher/MysticNoromaidx-i1-GGUF | null | [
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] | TAGS
#transformers #gguf #en #base_model-Fredithefish/MysticNoromaidx #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# rubert-tiny2-finetuned-imdb
This model is a fine-tuned version of [cointegrated/rubert-tiny2](https://huggingface.co/cointegrate... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["generator"], "base_model": "cointegrated/rubert-tiny2", "model-index": [{"name": "rubert-tiny2-finetuned-imdb", "results": []}]} | Pastushoc/rubert-tiny2-finetuned-imdb | null | [
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| rubert-tiny2-finetuned-imdb
===========================
This model is a fine-tuned version of cointegrated/rubert-tiny2 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 6.0142
Model description
-----------------
More information needed
Intended uses & limitations
----... | [
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text-generation | transformers |
# Uploaded as lora model
- **Developed by:** Labagaite
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-2-7b-chat-bnb-4bit
# Training Logs
## Summary metrics
### Best ROUGE-1 score : **0.007804878048780488**
### Best ROUGE-2 score : **0**
### Best ROUGE-L score : **0.005853658536585366**
## Wan... | {"language": ["fr"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "summarizer", "lora"], "base_model": "unsloth/llama-2-7b-chat-bnb-4bit"} | Labagaite/llama-Summarizer-2-7b-chat-LORA-bnb-4bit | null | [
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|
# Uploaded as lora model
- Developed by: Labagaite
- License: apache-2.0
- Finetuned from model : unsloth/llama-2-7b-chat-bnb-4bit
# Training Logs
## Summary metrics
### Best ROUGE-1 score : 0.007804878048780488
### Best ROUGE-2 score : 0
### Best ROUGE-L score : 0.005853658536585366
## Wandb logs
You can view the... | [
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sentence-similarity | sentence-transformers |
# ciCic/paraphrase-multilingual-MiniLM-L12-v2-sts-2d-matryoshka
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-T... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | ciCic/paraphrase-multilingual-MiniLM-L12-v2-sts-2d-matryoshka | null | [
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"feature-extraction",
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|
# ciCic/paraphrase-multilingual-MiniLM-L12-v2-sts-2d-matryoshka
This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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Using this model becomes easy when you have s... | [
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null | mlx |
# mlx-community/zephyr-orpo-141b-A35b-v0.1-8bit
This model was converted to MLX format from [`HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1`]() using mlx-lm version **0.9.0**.
Refer to the [original model card](https://huggingface.co/HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1) for more details on the model.
## Use with mlx
... | {"license": "apache-2.0", "tags": ["trl", "orpo", "generated_from_trainer", "mlx"], "datasets": ["argilla/distilabel-capybara-dpo-7k-binarized"], "base_model": "mistral-community/Mixtral-8x22B-v0.1", "inference": {"parameters": {"temperature": 0.7}}, "model-index": [{"name": "zephyr-orpo-141b-A35b-v0.1", "results": []}... | mlx-community/zephyr-orpo-141b-A35b-v0.1-8bit | null | [
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] | null | 2024-04-12T19:26:46+00:00 | [] | [] | TAGS
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|
# mlx-community/zephyr-orpo-141b-A35b-v0.1-8bit
This model was converted to MLX format from ['HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1']() using mlx-lm version 0.9.0.
Refer to the original model card for more details on the model.
## Use with mlx
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text-classification | transformers | ## Metrics
- loss: 1.0342
- accuracy: 0.8359
- precision: 0.8409
- recall: 0.8359
- precision_macro: 0.8136
- recall_macro: 0.8000
- macro_fpr: 0.0142
- weighted_fpr: 0.0138
- weighted_specificity: 0.9792
- macro_specificity: 0.9877
- weighted_sensitivity: 0.8359
- macro_sensitivity: 0.8000
- f1_micro: 0.8359
- f1_mac... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall"], "base_model": "law-ai/InLegalBERT", "model-index": [{"name": "InLegalBERT", "results": []}]} | xshubhamx/InLegalBERT | null | [
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] | null | 2024-04-12T19:27:21+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-law-ai/InLegalBERT #license-mit #autotrain_compatible #endpoints_compatible #region-us
| Metrics
-------
* loss: 1.0342
* accuracy: 0.8359
* precision: 0.8409
* recall: 0.8359
* precision\_macro: 0.8136
* recall\_macro: 0.8000
* macro\_fpr: 0.0142
* weighted\_fpr: 0.0138
* weighted\_specificity: 0.9792
* macro\_specificity: 0.9877
* weighted\_sensitivity: 0.8359
* macro\_sensitivity: 0.8000
* f1\_micro: ... | [
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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. -->
# code-llama-7b-text-to-sql
This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/Cod... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "codellama/CodeLlama-7b-hf", "model-index": [{"name": "code-llama-7b-text-to-sql", "results": []}]} | patrickfleith/code-llama-7b-text-to-sql | null | [
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|
# code-llama-7b-text-to-sql
This model is a fine-tuned version of codellama/CodeLlama-7b-hf on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training... | [
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# dummy-model
This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on an unknown dataset.
It ac... | {"license": "mit", "tags": ["generated_from_keras_callback"], "base_model": "camembert-base", "model-index": [{"name": "dummy-model", "results": []}]} | Mouwiya/dummy-model | null | [
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#transformers #tf #camembert #fill-mask #generated_from_keras_callback #base_model-camembert-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
|
# dummy-model
This model is a fine-tuned version of camembert-base on an unknown dataset.
It achieves the following results on the evaluation set:
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Tr... | [
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text-generation | transformers |
# Multi_verse_modelInex12-7B
Multi_verse_modelInex12-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [MTSAIR/multi_verse_model](https://huggingface.co/MTSAIR/multi_verse_model)
* [MSL7/INEX12-7b](https://huggingface.co/MSL7/INEX12-7b)
## 🧩 C... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["MTSAIR/multi_verse_model", "MSL7/INEX12-7b"]} | automerger/Multi_verse_modelInex12-7B | null | [
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|
# Multi_verse_modelInex12-7B
Multi_verse_modelInex12-7B is an automated merge created by Maxime Labonne using the following configuration.
* MTSAIR/multi_verse_model
* MSL7/INEX12-7b
## Configuration
## Usage
| [
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low... | {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-1.8B-Chat-layer-mix-bpw-3.0 | null | [
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"text-generation",
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"license:apache-2.0",
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"region:us"
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#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| GreenBit LLMs
=============
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# MLMA_biogpt_tuned_1412
This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on an u... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "microsoft/biogpt", "model-index": [{"name": "MLMA_biogpt_tuned_1412", "results": []}]} | wins1502/MLMA_biogpt_tuned_1412 | null | [
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"region:us"
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| MLMA\_biogpt\_tuned\_1412
=========================
This model is a fine-tuned version of microsoft/biogpt on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1566
* Precision: 0.4828
* Recall: 0.5685
* F1: 0.5222
* Accuracy: 0.9542
Model description
-----------------
More ... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | AsphyXIA/gemma-g2 | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null | ## Models
```
yolov3
yolov4
yolov4-tiny
yolov4-csp
```
## Training
Pretrianed from [AlexeyAB](https://github.com/AlexeyAB/darknet) and [pjreddie](https://pjreddie.com/darknet/yolo) | {"language": ["en"], "license": "mit", "tags": ["yolov4", "yolov3"]} | homohapiens/darknet-yolov4 | null | [
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null | adapter-transformers |
# Adapter `BigTMiami/B_adapter_seq_bn_pretraining_P_10` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_split_25M_reviews_20_percent_condensed](https://huggingface.co/datasets/BigTMiami/amazon_split_25M_reviews_20_percent_condensed/) dataset ... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_split_25M_reviews_20_percent_condensed"]} | BigTMiami/B_adapter_seq_bn_pretraining_P_10 | null | [
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_split_25M_reviews_20_percent_condensed #region-us
|
# Adapter 'BigTMiami/B_adapter_seq_bn_pretraining_P_10' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_split_25M_reviews_20_percent_condensed dataset and includes a prediction head for masked lm.
This adapter was created for usage with the Adapters library.
## Usag... | [
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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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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# biogpt
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Los... | {"tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "biogpt", "results": []}]} | ywu289/biogpt | null | [
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| biogpt
======
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1404
* Precision: 0.4590
* Recall: 0.5400
* F1: 0.4962
* Accuracy: 0.9579
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: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 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. -->
# 0.0001_idpo_same_6iters_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/... | {"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": "0.0001_idpo_same_6iters_iter_1", "results": []}]} | ShenaoZ/0.0001_idpo_same_6iters_iter_1 | null | [
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|
# 0.0001_idpo_same_6iters_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 ne... | [
"# 0.0001_idpo_same_6iters_iter_1\n\nThis model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
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text-generation | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistralFT
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "pipeline_tag": "text-generation", "model-index": [{"name": "mistralFT", "results": []}]} | Yash0109/mistralFT | null | [
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"license:apache-2.0",
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|
# mistralFT
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperp... | [
"# mistralFT\n\nThis model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.",
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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... | davmel/dqn-SpaceInvadersNoFrameskip-v4 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
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] | null | 2024-04-12T19:50:20+00:00 | [] | [] | TAGS
#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 | adapter-transformers |
# Adapter `BigTMiami/B_adapter_seq_bn_classification_C_10` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_helpfulness](https://huggingface.co/datasets/BigTMiami/amazon_helpfulness/) dataset and includes a prediction head for classification.
... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_helpfulness"]} | BigTMiami/B_adapter_seq_bn_classification_C_10 | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_helpfulness",
"region:us"
] | null | 2024-04-12T19:50:46+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_helpfulness #region-us
|
# Adapter 'BigTMiami/B_adapter_seq_bn_classification_C_10' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, install '... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-imdb-1b-mz-ada-v3-bs-4
This model is a fine-tuned version of [EleutherAI/pythia-1b](https://huggingface.co/Ele... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-1b", "model-index": [{"name": "robust_llm_pythia-imdb-1b-mz-ada-v3-bs-4", "results": []}]} | AlignmentResearch/robust_llm_pythia-imdb-1b-mz-ada-v3-bs-4 | null | [
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"base_model:EleutherAI/pythia-1b",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-12T19:51:39+00:00 | [] | [] | TAGS
#transformers #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-1b #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-imdb-1b-mz-ada-v3-bs-4
This model is a fine-tuned version of EleutherAI/pythia-1b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### T... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"##... | [
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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. -->
# wav2vecvanilla_load_best
This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base-960h", "model-index": [{"name": "wav2vecvanilla_load_best", "results": []}]} | charris/wav2vecvanilla_load_best | null | [
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"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"base_model:facebook/wav2vec2-base-960h",
"license:apache-2.0",
"endpoints_compatible",
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] | null | 2024-04-12T19:52:11+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #base_model-facebook/wav2vec2-base-960h #license-apache-2.0 #endpoints_compatible #region-us
| wav2vecvanilla\_load\_best
==========================
This model is a fine-tuned version of facebook/wav2vec2-base-960h on an unknown dataset.
It achieves the following results on the evaluation set:
* best model at 1400 steps, training loss 0.871600, validation loss 0.835038, evaluation WER 0.324867
Model descri... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
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text-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. -->
# my_awesome_model
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "my_awesome_model", "results": []}]} | Mou11209203/my_awesome_model | null | [
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"license:apache-2.0",
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] | null | 2024-04-12T19:55:29+00:00 | [] | [] | TAGS
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| my\_awesome\_model
==================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2328
* Accuracy: 0.9304
Model description
-----------------
More information needed
Intended uses & limitatio... | [
"### 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: 2",
"### Traini... | [
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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_noreplacerej_40g_bs2_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://hugging... | {"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": "0.0_dataup_noreplacerej_40g_bs2_iter_1", "results": []}]} | ZhangShenao/0.0_dataup_noreplacerej_40g_bs2_iter_1 | null | [
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"mistral",
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"base_model:HuggingFaceH4/mistral-7b-sft-beta",
"license:mit",
"autotrain_compatible",
"endpoints_co... | null | 2024-04-12T19:58:19+00:00 | [] | [] | TAGS
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|
# 0.0_dataup_noreplacerej_40g_bs2_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 inform... | [
"# 0.0_dataup_noreplacerej_40g_bs2_iter_1\n\nThis model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.",
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null | null |
GGUF-based Quantized models from [fireworks-ai/mixtral-8x22b-instruct-oh](https://huggingface.co/fireworks-ai/mixtral-8x22b-instruct-oh)
Rest of this readme is a template README.md derived from TheBloke's README
<!-- description start -->
## Description
This repo contains GGUF format model files for [fireworks-ai/m... | {"language": ["en"], "license": "apache-2.0", "datasets": ["teknium/OpenHermes-2.5"], "base_model": "mistral-community/Mixtral-8x22B-v0.1"} | failspy/mixtral-8x22b-v0.1-instruct-oh-GGUF | null | [
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"base_model:mistral-community/Mixtral-8x22B-v0.1",
"license:apache-2.0",
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] | null | 2024-04-12T19:59:46+00:00 | [] | [
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] | TAGS
#gguf #en #dataset-teknium/OpenHermes-2.5 #base_model-mistral-community/Mixtral-8x22B-v0.1 #license-apache-2.0 #region-us
|
GGUF-based Quantized models from fireworks-ai/mixtral-8x22b-instruct-oh
Rest of this readme is a template URL derived from TheBloke's README
## Description
This repo contains GGUF format model files for fireworks-ai/mixtral-8x22b-instruct-oh.
### About GGUF
GGUF is a new format introduced by the URL team on Au... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | domenicrosati/beavertails_attack_meta-llama_Llama-2-7b-chat-hf_8e-5_1k | null | [
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"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
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"region:us"
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] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# LaserRMT
Fine tuned with LaserRMT on the top 5 layers
Original model from: [Unsloth](https://huggingface.co/unsloth/Starling-LM-7B-beta) with Self-Extend LLM Context Window.
The initial perplexity of the model is 12.196647644042969
Improved perplexity found: 11.843605995178223. Total modifications: 11
# Starlin... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["reward model", "RLHF", "RLAIF"], "datasets": ["berkeley-nest/Nectar"]} | ManniX-ITA/Starling-LM-7B-beta-LaserRMT-v1 | null | [
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|
# LaserRMT
Fine tuned with LaserRMT on the top 5 layers
Original model from: Unsloth with Self-Extend LLM Context Window.
The initial perplexity of the model is 12.196647644042969
Improved perplexity found: 11.843605995178223. Total modifications: 11
# Starling-LM-7B-beta
- Developed by: The Nexusflow Team ( B... | [
"# LaserRMT\n\nFine tuned with LaserRMT on the top 5 layers\n\nOriginal model from: Unsloth with Self-Extend LLM Context Window.\n\nThe initial perplexity of the model is 12.196647644042969\n\nImproved perplexity found: 11.843605995178223. Total modifications: 11",
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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
model = load_from_hub(repo_id="spietari/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_... | {"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": ... | spietari/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
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"reinforcement-learning",
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
model = load_from_hub(repo_id="spietari/q-FrozenLake-v1-4x4-noSlippery", filename="URL")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env =... | [
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token-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": []} | Luciaaaaa/dummy-model | null | [
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#transformers #safetensors #gpt2 #token-classification #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]:
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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": []} | OwOpeepeepoopoo/ummm6 | null | [
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#transformers #safetensors #llama #text-generation #conversational #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 | adapter-transformers |
# Adapter `BigTMiami/B_adapter_seq_bn_classification_P_10_to_C_10` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_helpfulness](https://huggingface.co/datasets/BigTMiami/amazon_helpfulness/) dataset and includes a prediction head for classifi... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_helpfulness"]} | BigTMiami/B_adapter_seq_bn_classification_P_10_to_C_10 | null | [
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#adapter-transformers #roberta #dataset-BigTMiami/amazon_helpfulness #region-us
|
# Adapter 'BigTMiami/B_adapter_seq_bn_classification_P_10_to_C_10' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
First, i... | [
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null | transformers |
# Uploaded model
- **Developed by:** raosharjeel
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | raosharjeel/tonysMatrixMistral | null | [
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] | null | 2024-04-12T20:17:34+00:00 | [] | [
"en"
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|
# Uploaded model
- Developed by: raosharjeel
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | null | GGUF quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
Yi-6B - GGUF
- Model creator: https://huggingface.co/01-ai/
- Original model: https://huggingface.co/01-ai/Yi-6B/
| N... | {} | RichardErkhov/01-ai_-_Yi-6B-gguf | null | [
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#gguf #arxiv-2403.04652 #arxiv-2311.16502 #arxiv-2401.11944 #region-us
| GGUF quantization made by Richard Erkhov.
Github
Discord
Request more models
Yi-6B - GGUF
* Model creator: URL
* Original model: URL
Name: Yi-6B.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.18GB
Name: Yi-6B.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 2.41GB
Name: Yi-6B.IQ3\_S.gguf, Quant method: IQ3\_S, Size: 2.... | [
"### Building the Next Generation of Open-Source and Bilingual LLMs\n\n\n\n\n[Hugging Face](URL target=) • [ModelScope](URL target=) • ️ [WiseModel](URL target=)\n\n\n\n\n Ask questions or discuss ideas on [GitHub](01-ai/Yi · Discussions) \n\n\n\n\n Join us on [Discord](URL target=) or [WeChat](有官方的微信群嘛 · Iss... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Output_LayoutLMv3_v7
This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlm... | {"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "datasets": ["Noureddinesa/LayoutLmv3_v1"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "Output_LayoutLMv3_v7", "results": []}]} | Noureddinesa/Output_LayoutLMv3_v7 | null | [
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"license:cc-by-nc-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-04-12T20:20:30+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #layoutlmv3 #token-classification #generated_from_trainer #dataset-Noureddinesa/LayoutLmv3_v1 #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #has_space #region-us
| Output\_LayoutLMv3\_v7
======================
This model is a fine-tuned version of microsoft/layoutlmv3-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1075
* Precision: 0.7928
* Recall: 0.8
* F1: 0.7964
* Accuracy: 0.9723
Model description
-----------------
More ... | [
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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": []} | GladiusTn/mistral7b_ocr_to_xml | null | [
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"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-12T20:20:54+00:00 | [
"1910.09700"
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#transformers #safetensors #mistral #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"license": "apache-2.0", "library_name": "transformers"} | vicgalle/Configurable-Mistral-22B | 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 |
<img src="https://huggingface.co/HuggingFaceH4/zephyr-orpo-141b-A35b-v0.1/resolve/main/logo.png" alt="Zephyr 141B Logo" width="400" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Model Card for Zephyr 141B-A35B
Zephyr is a series of language models that are trained to act as helpful assistants. ... | {"license": "apache-2.0", "tags": ["trl", "orpo", "generated_from_trainer"], "datasets": ["argilla/distilabel-capybara-dpo-7k-binarized"], "base_model": "mistral-community/Mixtral-8x22B-v0.1", "model-index": [{"name": "zephyr-orpo-141b-A35b-v0.1", "results": []}]} | blockblockblock/zephyr-orpo-141b-A35b-v0.1-bpw4.2 | null | [
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Model Card for Zephyr 141B-A35B
===============================
Zephyr is a series of language models that are trained to act as helpful assistants. Zephyr 141B-A35B is the latest model in the series, a... | [
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text-to-image | diffusers | # Oussama
<Gallery />
## Model description
A superhero
## Download model
[Download](/Ily1h0/Oussama1/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "-", "output": {"url": "images/Screenshot_20240412_202507_com.instagram.android.jpg"}}], "base_model": "stabilityai/stable-diffusion-xl-base-1.0"} | Ily1h0/Oussama1 | null | [
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
| # Oussama
<Gallery />
## Model description
A superhero
## Download model
Download them in the Files & versions tab.
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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... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers"} | hflog/ibivibiv-collosus_120b | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null |
This model is a test using Intel Gaudi Habana 2 chips using DDP training. Trained over 8xGaudi-2 Chips using DDP and Deepspeed using the openassistant dataset.
# Prompt Format
This model uses ChatML as the prompt format.
```
<|im_start|>system
You are a helpful assistant for Python which outputs in Markdown forma... | {"license": "apache-2.0", "datasets": ["timdettmers/openassistant-guanaco"]} | hflog/ndavidson-Phi-2-openassistant | null | [
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|
This model is a test using Intel Gaudi Habana 2 chips using DDP training. Trained over 8xGaudi-2 Chips using DDP and Deepspeed using the openassistant dataset.
# Prompt Format
This model uses ChatML as the prompt format.
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text-generation | transformers | # Misted v2 7B
This is another version of [misted-7b](https://huggingface.co/walmart-the-bag/misted-7b). This creation was designed to tackle coding, provide instructions, solve riddles, and fulfill a variety of purposes. It was developed using the slerp approach, which involved combining several mistral models with mi... | {"language": ["en", "es"], "license": "apache-2.0", "library_name": "transformers", "tags": ["code", "mistral", "merge", "slerp"]} | hflog/Walmart-the-bag-Misted-v2-7B | null | [
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| # Misted v2 7B
This is another version of misted-7b. This creation was designed to tackle coding, provide instructions, solve riddles, and fulfill a variety of purposes. It was developed using the slerp approach, which involved combining several mistral models with misted-7b.
# Prompt Format
###### Alpaca
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text-generation | transformers | 
# Vision/multimodal capabilities:
If you want to use vision functionality:
* You must use the latest versions of [Koboldcpp](https://github.com/LostRuins/koboldcpp).
To use the multimodal capa... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Nitral-AI/Nyanade-Maid-7B", "Nitral-AI/Nyan-Stunna-7B"]} | hflog/Nitral-AI-Nyanade_Stunna-Maid-7B | null | [
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| !image/jpeg
# Vision/multimodal capabilities:
If you want to use vision functionality:
* You must use the latest versions of Koboldcpp.
To use the multimodal capabilities of this model and use vision you need to load the specified mmproj file, this can be found inside this model repo.
* You can load the mmpro... | [
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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. -->
# results
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "t5-small", "model-index": [{"name": "results", "results": []}]} | ashwinradhe/results | null | [
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| results
=======
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0913
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training... | [
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text-generation | transformers |
# Mixtral-8x7B--v0.1: Model 8
## Model Description
This model is the 8th extracted standalone model from the [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1), using the [Mixtral Model Expert Extractor tool](https://github.com/MeNicefellow/Mixtral-Model-Expert-Extractor) I made. It is... | {"license": "apache-2.0"} | hflog/DrNicefellow-Mistral-8-from-Mixtral-8x7B-v0.1 | null | [
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# Mixtral-8x7B--v0.1: Model 8
## Model Description
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text-generation | transformers |
# Mixtral-8x7B--v0.1: Model 7
## Model Description
This model is the 7th extracted standalone model from the [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1), using the [Mixtral Model Expert Extractor tool](https://github.com/MeNicefellow/Mixtral-Model-Expert-Extractor) I made. It is... | {"license": "apache-2.0"} | hflog/DrNicefellow-Mistral-7-from-Mixtral-8x7B-v0.1 | null | [
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# Mixtral-8x7B--v0.1: Model 7
## Model Description
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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. -->
# roberta-finetuned-squad
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown ... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "roberta-finetuned-squad", "results": []}]} | noushsuon/roberta-finetuned-squad | null | [
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# roberta-finetuned-squad
This model is a fine-tuned version of roberta-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
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text-generation | transformers |
# Mixtral-8x7B--v0.1: Model 6
## Model Description
This model is the 6th extracted standalone model from the [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1), using the [Mixtral Model Expert Extractor tool](https://github.com/MeNicefellow/Mixtral-Model-Expert-Extractor) I made. It is... | {"license": "apache-2.0"} | hflog/DrNicefellow-Mistral-6-from-Mixtral-8x7B-v0.1 | null | [
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# Mixtral-8x7B--v0.1: Model 6
## Model Description
This model is the 6th extracted standalone model from the mistralai/Mixtral-8x7B-v0.1, using the Mixtral Model Expert Extractor tool I made. It is constructed by selecting the first expert from each Mixture of Experts (MoE) layer. The extraction of this model is exp... | [
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text-generation | transformers |
# Mixtral-8x7B--v0.1: Model 5
## Model Description
This model is the 5th extracted standalone model from the [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1), using the [Mixtral Model Expert Extractor tool](https://github.com/MeNicefellow/Mixtral-Model-Expert-Extractor) I made. It is... | {"license": "apache-2.0"} | hflog/DrNicefellow-Mistral-5-from-Mixtral-8x7B-v0.1 | null | [
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# Mixtral-8x7B--v0.1: Model 5
## Model Description
This model is the 5th extracted standalone model from the mistralai/Mixtral-8x7B-v0.1, using the Mixtral Model Expert Extractor tool I made. It is constructed by selecting the first expert from each Mixture of Experts (MoE) layer. The extraction of this model is exp... | [
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text-generation | transformers |
# Mixtral-8x7B--v0.1: Model 4
## Model Description
This model is the 4th extracted standalone model from the [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1), using the [Mixtral Model Expert Extractor tool](https://github.com/MeNicefellow/Mixtral-Model-Expert-Extractor) I made. It is... | {"license": "apache-2.0"} | hflog/DrNicefellow-Mistral-4-from-Mixtral-8x7B-v0.1 | null | [
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# Mixtral-8x7B--v0.1: Model 4
## Model Description
This model is the 4th extracted standalone model from the mistralai/Mixtral-8x7B-v0.1, using the Mixtral Model Expert Extractor tool I made. It is constructed by selecting the first expert from each Mixture of Experts (MoE) layer. The extraction of this model is exp... | [
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text-generation | transformers |
## Rho-1: Not All Tokens Are What You Need
The Rho-1 series are pretrained language models that utilize Selective Language Modeling (SLM) objectives.
In math reasoning pretraining, SLM improves average few-shot accuracy on GSM8k and MATH by over 16%, achieving the baseline performance 5-10x faster.
For more detail... | {"language": ["en"], "license": "mit", "tags": ["nlp", "math"], "pipeline_tag": "text-generation"} | hflog/microsoft-rho-math-1b-v0.1 | null | [
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## Rho-1: Not All Tokens Are What You Need
The Rho-1 series are pretrained language models that utilize Selective Language Modeling (SLM) objectives.
In math reasoning pretraining, SLM improves average few-shot accuracy on GSM8k and MATH by over 16%, achieving the baseline performance 5-10x faster.
For more detail... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** rmdhirr
- **License:** apache-2.0
- **Finetuned from model :** MTSAIR/multi_verse_model
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "dpo", "uncensored"], "base_model": "MTSAIR/multi_verse_model"} | hflog/rmdhirr-Pulsar_7B | null | [
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# Uploaded model
- Developed by: rmdhirr
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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:** chatty123
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "dpo"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | hflog/chatty123-mistral_rank32_dpo | null | [
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# Uploaded model
- Developed by: chatty123
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-instruct-v0.2-bnb-4bit
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text-generation | transformers |
# Uploaded model
- **Developed by:** chatty123
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | hflog/chatty123-mistral_rank32_invert | null | [
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# Uploaded model
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- 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:** chatty123
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | hflog/chatty123-mistral_rank32_sft | null | [
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# Uploaded model
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- 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:** chatty123
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "dpo"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | hflog/chatty123-mistral_rank16_dpo | null | [
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# Uploaded model
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This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
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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": []} | simonamdev/openai-whisper-base-jv-PeftType.LORA | null | [
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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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null | transformers |
# Uploaded model
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- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-2-13b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-2-13b-bnb-4bit"} | ahmetyaylalioglu/llama13v2_prompt_recover_model | null | [
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text-to-image | diffusers | # Lumina v.1.5
<Gallery />
## Model description
LuMiNa é um modelo de texto gerado por inteligência artificial desenvolvido pela SYNTHETICA. Este modelo é capaz de gerar textos contextualmente relevantes e coerentes, tornando-o uma ferramenta extremamente útil para diversas aplicações, como a criação de conteúdo pa... | {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "an collage of a woman in a cartoon sun", "output": {"url": "images/image (3).png"}}], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "lumina"} | synthetica/luminav1.5 | null | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# IndianLegalBERT
This model is a fine-tuned version of [law-ai/InLegalBERT](https://huggingface.co/law-ai/InLegalBERT) on an unkn... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall"], "base_model": "law-ai/InLegalBERT", "model-index": [{"name": "IndianLegalBERT", "results": []}]} | xshubhamx/IndianLegalBERT | null | [
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| IndianLegalBERT
===============
This model is a fine-tuned version of law-ai/InLegalBERT on an unknown dataset.
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* Accuracy: 0.8218
* Precision: 0.8227
* Recall: 0.8218
* Precision Macro: 0.7823
* Recall Macro: 0.7855
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | dragonflymoss/ppo-Huggy | null | [
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# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# idefics2-8b-docvqa-finetuned-tutorial
This model is a fine-tuned version of [HuggingFaceM4/idefics2-8b](https://huggingface.co/H... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "HuggingFaceM4/idefics2-8b", "model-index": [{"name": "idefics2-8b-docvqa-finetuned-tutorial", "results": []}]} | VictorSanh/idefics2-8b-docvqa-finetuned-tutorial | null | [
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This model is a fine-tuned version of HuggingFaceM4/idefics2-8b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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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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null | peft |
# Model Card for Model ID
Model is a finetune of rhysjones/phi-2-orange-v2 on the cisco-sft dataset. Finetuned using 8xGaudi-2 AI Accelerator HPU chips using DDP Deepspeed.
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# salon_image_classifier_v1_convnext
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggin... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "salon_image_classifier_v1_convnext", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}... | 100rab25/salon_image_classifier_v1_convnext | null | [
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| salon\_image\_classifier\_v1\_convnext
======================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0299
* Accuracy: 0.9898
Model description
-----------------
Mo... | [
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712955957282x527638104999566660
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
A photo of TOK
```
Use this keyword to trigger your custom model in your prompts.... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["Theuzs/Me"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A photo of TOK", "inference": false} | squaadinc/1712955957282x527638104999566660 | null | [
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|
# LoRA DreamBooth - squaadinc/1712955957282x527638104999566660
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** ahmetyaylalioglu
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-2-13b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-2-13b-bnb-4bit"} | ahmetyaylalioglu/promptrecover_4bit_merged | null | [
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|
# Uploaded model
- Developed by: ahmetyaylalioglu
- License: apache-2.0
- Finetuned from model : unsloth/llama-2-13b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | null |
This is the Q4_0 quantum model for llama.cpp:
https://github.com/ggerganov/llama.cpp/pull/6515 | {"license": "other", "license_name": "databricks-open-model-license", "license_link": "https://www.databricks.com/legal/open-model-license"} | phymbert/dbrx-16x12b-instruct-q4_0-gguf | null | [
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null | null |
This is the Q8_0 quantum model for llama.cpp:
https://github.com/ggerganov/llama.cpp/pull/6515 | {"license": "other", "license_name": "databricks-open-model-license", "license_link": "https://www.databricks.com/legal/open-model-license"} | phymbert/dbrx-16x12b-instruct-q8_0-gguf | null | [
"gguf",
"license:other",
"region:us"
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#gguf #license-other #region-us
|
This is the Q8_0 quantum model for URL:
URL | [] | [
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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": []} | adammoss/patch | 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:
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Fredithefish/MystixNoromaidx
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/MystixNoroma... | {"language": ["en"], "library_name": "transformers", "base_model": "Fredithefish/MystixNoromaidx", "quantized_by": "mradermacher"} | mradermacher/MystixNoromaidx-GGUF | null | [
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-----
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
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(sorted by size, not necessarily quality. ... | [] | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0001_idpo_same_6iters_iter_2
This model is a fine-tuned version of [ShenaoZ/0.0001_idpo_same_6iters_iter_1](https://huggingfac... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.0001_idpo_same_6iters_iter_1", "model-index": [{"name": "0.0001_idpo_same_6iters_iter_2", "results": []}]} | ShenaoZ/0.0001_idpo_same_6iters_iter_2 | null | [
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"endpoints_compa... | null | 2024-04-12T21:15:43+00:00 | [] | [] | TAGS
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|
# 0.0001_idpo_same_6iters_iter_2
This model is a fine-tuned version of ShenaoZ/0.0001_idpo_same_6iters_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
#... | [
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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-text-to-sql-flash-attention-2
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://hugg... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.1", "model-index": [{"name": "Mistral-7B-text-to-sql-flash-attention-2", "results": []}]} | Cfmaley/Mistral-7B-text-to-sql-flash-attention-2 | null | [
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|
# Mistral-7B-text-to-sql-flash-attention-2
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bigbird-roberta-base-finetuned-sql-classification-with_schema_question
This model is a fine-tuned version of [google/bigbird-rob... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "google/bigbird-roberta-base", "model-index": [{"name": "bigbird-roberta-base-finetuned-sql-classification-with_schema_question", "results": []}]} | PatWang/bigbird-roberta-base-finetuned-sql-classification-with_schema_question | null | [
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| bigbird-roberta-base-finetuned-sql-classification-with\_schema\_question
========================================================================
This model is a fine-tuned version of google/bigbird-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4232
* Accuracy:... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | cilantro9246/ilc26p8 | 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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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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": []} | khairi/esm2_t30_150M_UR50D | null | [
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"esm",
"feature-extraction",
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"endpoints_compatible",
"region:us"
] | null | 2024-04-12T21:23:31+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #esm #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #esm #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us \n",
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document-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. -->
# layoutlmv2-base-uncased_finetuned_docvqa
This model is a fine-tuned version of [microsoft/layoutlmv2-base-uncased](https://huggi... | {"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "base_model": "microsoft/layoutlmv2-base-uncased", "model-index": [{"name": "layoutlmv2-base-uncased_finetuned_docvqa", "results": []}]} | shashin/layoutlmv2-base-uncased_finetuned_docvqa | null | [
"transformers",
"tensorboard",
"safetensors",
"layoutlmv2",
"document-question-answering",
"generated_from_trainer",
"base_model:microsoft/layoutlmv2-base-uncased",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
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| layoutlmv2-base-uncased\_finetuned\_docvqa
==========================================
This model is a fine-tuned version of microsoft/layoutlmv2-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 5.1691
Model description
-----------------
More information needed... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 20",
"### Trainin... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/MaziyarPanahi/Goku-8x22B-v0.1
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Goku-8x22B-... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "mixtral", "sharegpt"], "datasets": ["philschmid/guanaco-sharegpt-style"], "model_name": "Goku-8x22B-v0.1", "base_model": "MaziyarPanahi/Goku-8x22B-v0.1", "model_creator": "MaziyarPanahi", "quantized_by": "mradermacher"} | mradermacher/Goku-8x22B-v0.1-GGUF | null | [
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"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-12T21:27:39+00:00 | [] | [
"en"
] | TAGS
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| 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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] |
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