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null | mlx |
# mlx-community/OpenELM-450M-instruct
This model was converted to MLX format from [`apple/OpenELM-450M-instruct`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/apple/OpenELM-450M-instruct) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```... | {"license": "other", "tags": ["mlx"], "license_name": "apple-sample-code-license", "license_link": "LICENSE"} | mlx-community/OpenELM-450M-Instruct | null | [
"mlx",
"safetensors",
"openelm",
"custom_code",
"license:other",
"region:us"
] | null | 2024-04-24T12:25:16+00:00 | [] | [] | TAGS
#mlx #safetensors #openelm #custom_code #license-other #region-us
|
# mlx-community/OpenELM-450M-instruct
This model was converted to MLX format from ['apple/OpenELM-450M-instruct']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
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] |
null | mlx |
# mlx-community/OpenELM-450M
This model was converted to MLX format from [`apple/OpenELM-450M`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/apple/OpenELM-450M) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import l... | {"license": "other", "tags": ["mlx"], "license_name": "apple-sample-code-license", "license_link": "LICENSE"} | mlx-community/OpenELM-450M | null | [
"mlx",
"safetensors",
"openelm",
"custom_code",
"license:other",
"region:us"
] | null | 2024-04-24T12:25:37+00:00 | [] | [] | TAGS
#mlx #safetensors #openelm #custom_code #license-other #region-us
|
# mlx-community/OpenELM-450M
This model was converted to MLX format from ['apple/OpenELM-450M']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
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] |
text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_ablation_4iters_bs256_sample2_iter_3
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_4iters_bs256_sample2_it... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_4iters_bs256_sample2_iter_2", "model-index": [{"name": "0.001_ablation_4iters_bs256_sample2_iter_3", "results": []}]} | ShenaoZ/0.001_ablation_4iters_bs256_sample2_iter_3 | null | [
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"safetensors",
"mistral",
"text-generation",
"alignment-handbook",
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"dataset:original",
"base_model:ShenaoZ/0.001_ablation_4iters_bs256_sample2_iter_2",
"license:mit",
"autotrain_compatible",
"end... | null | 2024-04-24T12:25:38+00:00 | [] | [] | TAGS
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# 0.001_ablation_4iters_bs256_sample2_iter_3
This model is a fine-tuned version of ShenaoZ/0.001_ablation_4iters_bs256_sample2_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
Mo... | [
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null | mlx |
# mlx-community/OpenELM-1_1B-instruct-4bit
This model was converted to MLX format from [`apple/OpenELM-1_1B-instruct`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/apple/OpenELM-1_1B-instruct) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```... | {"license": "other", "tags": ["mlx"], "license_name": "apple-sample-code-license", "license_link": "LICENSE"} | mlx-community/OpenELM-1_1B-Instruct-4bit | null | [
"mlx",
"safetensors",
"openelm",
"custom_code",
"license:other",
"region:us"
] | null | 2024-04-24T12:26:16+00:00 | [] | [] | TAGS
#mlx #safetensors #openelm #custom_code #license-other #region-us
|
# mlx-community/OpenELM-1_1B-instruct-4bit
This model was converted to MLX format from ['apple/OpenELM-1_1B-instruct']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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] |
null | mlx |
# mlx-community/OpenELM-1_1B-instruct-8bit
This model was converted to MLX format from [`apple/OpenELM-1_1B-instruct`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/apple/OpenELM-1_1B-instruct) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```... | {"license": "other", "tags": ["mlx"], "license_name": "apple-sample-code-license", "license_link": "LICENSE"} | mlx-community/OpenELM-1_1B-Instruct-8bit | null | [
"mlx",
"safetensors",
"openelm",
"custom_code",
"license:other",
"region:us"
] | null | 2024-04-24T12:26:56+00:00 | [] | [] | TAGS
#mlx #safetensors #openelm #custom_code #license-other #region-us
|
# mlx-community/OpenELM-1_1B-instruct-8bit
This model was converted to MLX format from ['apple/OpenELM-1_1B-instruct']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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] |
null | mlx |
# mlx-community/OpenELM-1_1B-4bit
This model was converted to MLX format from [`apple/OpenELM-1_1B`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/apple/OpenELM-1_1B) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm imp... | {"license": "other", "tags": ["mlx"], "license_name": "apple-sample-code-license", "license_link": "LICENSE"} | mlx-community/OpenELM-1_1B-4bit | null | [
"mlx",
"safetensors",
"openelm",
"custom_code",
"license:other",
"region:us"
] | null | 2024-04-24T12:27:14+00:00 | [] | [] | TAGS
#mlx #safetensors #openelm #custom_code #license-other #region-us
|
# mlx-community/OpenELM-1_1B-4bit
This model was converted to MLX format from ['apple/OpenELM-1_1B']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
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] |
automatic-speech-recognition | 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": []} | Mihaj/w2v-bert-karelian-CodeSwitching | null | [
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"tensorboard",
"safetensors",
"wav2vec2-bert",
"automatic-speech-recognition",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T12:27:36+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #tensorboard #safetensors #wav2vec2-bert #automatic-speech-recognition #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]:
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null | mlx |
# mlx-community/OpenELM-1_1B-8bit
This model was converted to MLX format from [`apple/OpenELM-1_1B`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/apple/OpenELM-1_1B) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm imp... | {"license": "other", "tags": ["mlx"], "license_name": "apple-sample-code-license", "license_link": "LICENSE"} | mlx-community/OpenELM-1_1B-8bit | null | [
"mlx",
"safetensors",
"openelm",
"custom_code",
"license:other",
"region:us"
] | null | 2024-04-24T12:27:41+00:00 | [] | [] | TAGS
#mlx #safetensors #openelm #custom_code #license-other #region-us
|
# mlx-community/OpenELM-1_1B-8bit
This model was converted to MLX format from ['apple/OpenELM-1_1B']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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] |
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. -->
# unsloth_checkpoints
This model is a fine-tuned version of [unsloth/codellama-7b-bnb-4bit](https://huggingface.co/unsloth/codella... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "unsloth", "generated_from_trainer"], "base_model": "unsloth/codellama-7b-bnb-4bit", "model-index": [{"name": "unsloth_checkpoints", "results": []}]} | MakTek/pine_script_code_llama_last | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"unsloth",
"generated_from_trainer",
"base_model:unsloth/codellama-7b-bnb-4bit",
"license:apache-2.0",
"region:us"
] | null | 2024-04-24T12:29:07+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #unsloth #generated_from_trainer #base_model-unsloth/codellama-7b-bnb-4bit #license-apache-2.0 #region-us
|
# unsloth_checkpoints
This model is a fine-tuned version of unsloth/codellama-7b-bnb-4bit on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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token-classification | transformers |
<p align="center">
<br>
<img src="http://www.ixa.eus/sites/default/files/anitdote.png" style="width: 45%;">
<be>
# mDeBERTa-base for Multilingual Correct Explanation Extraction in the Medical Domain
This model is a fine-tuned version of [mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-ba... | {"language": ["en", "es", "fr", "it"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["HiTZ/casimedicos-squad"], "metrics": ["f1"], "pipeline_tag": "token-classification", "widget": [{"text": "Paradoxical pulse is a drop in blood pressure > 10 mmHg during inspiration; it represents an exaggeratio... | HiTZ/mdeberta-expl-extraction-multi | null | [
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"safetensors",
"deberta-v2",
"question-answering",
"token-classification",
"en",
"es",
"fr",
"it",
"dataset:HiTZ/casimedicos-squad",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T12:30:40+00:00 | [] | [
"en",
"es",
"fr",
"it"
] | TAGS
#transformers #safetensors #deberta-v2 #question-answering #token-classification #en #es #fr #it #dataset-HiTZ/casimedicos-squad #license-apache-2.0 #endpoints_compatible #region-us
|
<p align="center">
<br>
<img src="URL style="width: 45%;">
<be>
# mDeBERTa-base for Multilingual Correct Explanation Extraction in the Medical Domain
This model is a fine-tuned version of mdeberta-v3-base for a novel extractive task
which consists of identifying the explanation of the correct answer wr... | [
"# mDeBERTa-base for Multilingual Correct Explanation Extraction in the Medical Domain\n\n\nThis model is a fine-tuned version of mdeberta-v3-base for a novel extractive task\nwhich consists of identifying the explanation of the correct answer written by medical doctors. The model\nhas been fine-tuned using the mul... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-7b-chat-hf"} | Dewa/funny-llama | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
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|
# Model Card for Model ID
## Model Details
### Model Description
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- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_ablation_4iters_bs256_nodpo_sample2_iter_2
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_4iters_bs256_nodp... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_4iters_bs256_nodpo_sample2_iter_1", "model-index": [{"name": "0.001_ablation_4iters_bs256_nodpo_sample2_iter_2", "results": []}]... | ShenaoZ/0.001_ablation_4iters_bs256_nodpo_sample2_iter_2 | null | [
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... | null | 2024-04-24T12:32:05+00:00 | [] | [] | TAGS
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# 0.001_ablation_4iters_bs256_nodpo_sample2_iter_2
This model is a fine-tuned version of ShenaoZ/0.001_ablation_4iters_bs256_nodpo_sample2_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
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null | null | **"It keeps getting better!"**
"One of the top recent performers in the **Chaiverse Leaderboard**!"
GGUF-IQ-Imatrix quants for [ChaoticNeutrals/Poppy_Porpoise-v0.7-L3-8B](https://huggingface.co/ChaoticNeutrals/Poppy_Porpoise-v0.7-L3-8B).
> [!IMPORTANT]
> **Updated!**
> These quants have been redone with the fixes ... | {"language": ["en"], "tags": ["roleplay", "llama3", "sillytavern"]} | Lewdiculous/Poppy_Porpoise-v0.7-L3-8B-GGUF-IQ-Imatrix | null | [
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| "It keeps getting better!"
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GGUF-IQ-Imatrix quants for ChaoticNeutrals/Poppy_Porpoise-v0.7-L3-8B.
> [!IMPORTANT]
> Updated!
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> Use KoboldCpp version 1.64 or higher.
> [!WARNING]
> C... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/stable-lol | 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]:
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null | transformers |
# Uploaded model
- **Developed by:** ogdanneedham
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.co... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | ogdanneedham/mistral-gs-big-lora | null | [
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# Uploaded model
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- License: apache-2.0
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<img src="URL width="200"/>
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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": []} | Lakoc/voxpopuli_bpe30_cz | 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]:
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text-generation | transformers | # kukulemon-32K-7B-GGUF
These are GGUF quants of a proof of concept a merge capable of functional 32K context length while being derived from [kukulemon-7B](https://huggingface.co/grimjim/kukulemon-7B).
The functioning 32K context window has been folded in via a merger of Mistral 7B v0.2 models.
SLERP merge appears t... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B", "grimjim/kukulemon-7B"], "pipeline_tag": "text-generation"} | grimjim/kukulemon-32K-7B-GGUF | null | [
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"base_model:grimjim/kukulemon-7B",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T12:35:55+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #text-generation #base_model-grimjim/Mistral-7B-Instruct-demi-merge-v0.2-7B #base_model-grimjim/kukulemon-7B #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| # kukulemon-32K-7B-GGUF
These are GGUF quants of a proof of concept a merge capable of functional 32K context length while being derived from kukulemon-7B.
The functioning 32K context window has been folded in via a merger of Mistral 7B v0.2 models.
SLERP merge appears to be viable, but DARE-TIES merge risks producin... | [
"# kukulemon-32K-7B-GGUF\n\nThese are GGUF quants of a proof of concept a merge capable of functional 32K context length while being derived from kukulemon-7B. \nThe functioning 32K context window has been folded in via a merger of Mistral 7B v0.2 models.\nSLERP merge appears to be viable, but DARE-TIES merge risks... | [
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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": []} | Lakoc/voxpopuli_bpe25_cz | null | [
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"endpoints_compatible",
"region:us"
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] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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question-answering | transformers |
---
license: cc-by-4.0
language:
- es
tags:
- casimedicos
- explainability
- medical exams
- medical question answering
- extractive question answering
- squad
- multilinguality
- LLMs
- LLM
pretty_name: mdeberta-expl-extraction-multi
task_categories:
- question-answering
size_categories:
- 1K<n<10K
---
<p align="cen... | {"license": "apache-2.0"} | HiTZ/xlm-roberta-large-expl-extraction-multi | null | [
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"xlm-roberta",
"question-answering",
"arxiv:2312.00567",
"arxiv:1910.09700",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T12:36:51+00:00 | [
"2312.00567",
"1910.09700"
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#transformers #safetensors #xlm-roberta #question-answering #arxiv-2312.00567 #arxiv-1910.09700 #license-apache-2.0 #endpoints_compatible #region-us
|
---
license: cc-by-4.0
language:
- es
tags:
- casimedicos
- explainability
- medical exams
- medical question answering
- extractive question answering
- squad
- multilinguality
- LLMs
- LLM
pretty_name: mdeberta-expl-extraction-multi
task_categories:
- question-answering
size_categories:
- 1K<n<10K
---
<p align="cen... | [
"# mdeberta-v3-base finetuned for Explanatory Argument Extraction\n\nWe finetuned mdeberta-v3-base on a novel extractive task which consists of identifying the explanation of the correct answer written by\nmedical doctors in medical exams.\n\nThe training data is based on Antidote CasiMedicos for EN,ES,FR,IT langua... | [
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null | transformers |
# tetrisblack/Mixllama3-8x8b-Instruct-v0.1-Q4_K_M-GGUF
This model was converted to GGUF format from [`sherazkhan/Mixllama3-8x8b-Instruct-v0.1`](https://huggingface.co/sherazkhan/Mixllama3-8x8b-Instruct-v0.1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Re... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["text Generation", "llama-cpp", "gguf-my-repo"]} | tetrisblack/Mixllama3-8x8b-Instruct-v0.1-Q4_K_M-GGUF | null | [
"transformers",
"gguf",
"text Generation",
"llama-cpp",
"gguf-my-repo",
"en",
"license:llama3",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T12:38:03+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #text Generation #llama-cpp #gguf-my-repo #en #license-llama3 #endpoints_compatible #region-us
|
# tetrisblack/Mixllama3-8x8b-Instruct-v0.1-Q4_K_M-GGUF
This model was converted to GGUF format from 'sherazkhan/Mixllama3-8x8b-Instruct-v0.1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Meta-Llama-3-8B"} | LLMQ/LLaMA-3-8B-IR-QLoRA | 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]
- Repository:
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | sataayu/molt5-augmented-default-800-small-smiles2caption | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- 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. -->
# outputs_gptq_training
This model is a fine-tuned version of [astronomer/Llama-3-8B-Instruct-GPTQ-8-Bit](https://huggingface.co/a... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "astronomer/Llama-3-8B-Instruct-GPTQ-8-Bit", "model-index": [{"name": "outputs_gptq_training", "results": []}]} | WajeehaJ/outputs_gptq_training | null | [
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|
# outputs_gptq_training
This model is a fine-tuned version of astronomer/Llama-3-8B-Instruct-GPTQ-8-Bit on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
###... | [
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"... | [
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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. -->
# my_awesome_propaganda_model
This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/d... | {"license": "mit", "tags": ["generated_from_trainer"], "model-index": [{"name": "my_awesome_propaganda_model", "results": []}]} | anismahmahi/my_awesome_propaganda_model | null | [
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|
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text-to-image | diffusers | # matii-marronii
<Gallery />
## Model description
By Denche354
## Trigger words
You should use `DEN_matii_marronii` to trigger the image generation.
## Download model
Weights for this model are available in PyTorch format.
[Download](/MarkBW/matii-marronii/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "UNICODE\u0000\u0000D\u0000E\u0000N\u0000_\u0000m\u0000a\u0000t\u0000i\u0000i\u0000_\u0000m\u0000a\u0000r\u0000r\u0000o\u0000n\u0000i\u0000i\u0000,\u0000", "output": {"url": "images/00018-1424157527.jpeg"}}], "b... | MarkBW/matii-marronii | null | [
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-runwayml/stable-diffusion-v1-5 #region-us
| # matii-marronii
<Gallery />
## Model description
By Denche354
## Trigger words
You should use 'DEN_matii_marronii' to trigger the image generation.
## Download model
Weights for this model are available in PyTorch format.
Download them in the Files & versions tab.
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null | transformers |
## LLama 3 for router module in RAG (a toy example)
While developing complex RAG applications, I found a common need for router functionality to map user queries to different system workflows (and APIs). The router acts as a dispatcher that can enhance responsiveness and accuracy by choosing the best workflow or AP... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | sccastillo/llama3_router | null | [
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## LLama 3 for router module in RAG (a toy example)
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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": []} | samzirbo/mT5.tokenizer.en-es.24K.30M | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
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null | transformers |
# hus960/Unholy-Aura-Llama-3-8B-Q4_K_M-GGUF
This model was converted to GGUF format from [`ChaoticNeutrals/Unholy-Aura-Llama-3-8B`](https://huggingface.co/ChaoticNeutrals/Unholy-Aura-Llama-3-8B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [o... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["Undi95/Llama-3-Unholy-8B", "ResplendentAI/Aura_L3_8B"]} | hus960/Unholy-Aura-Llama-3-8B-Q4_K_M-GGUF | null | [
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|
# hus960/Unholy-Aura-Llama-3-8B-Q4_K_M-GGUF
This model was converted to GGUF format from 'ChaoticNeutrals/Unholy-Aura-Llama-3-8B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
C... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Likich/gemma-finetune-qualcoding | null | [
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## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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- 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. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Mod... | {"language": ["en"], "library_name": "transformers", "datasets": ["sohamslc5/curr1"], "metrics": ["accuracy"], "pipeline_tag": "text-generation", "base_model": "meta-llama/Llama-2-7b-chat-hf"} | sohamslc5/IIITA-Chatbot | null | [
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| # Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
## Model Details
### Model Description
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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text-generation | null |
GGUFs for https://huggingface.co/microsoft/Phi-3-mini-128k-instruct
iMatrix generated with Kalomaze's groups_merged.txt | {"language": ["en"], "license": "mit", "tags": ["nlp", "code"], "license_link": "https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/resolve/main/LICENSE", "pipeline_tag": "text-generation"} | MarsupialAI/Phi-3-mini-128k-instruct_iMatrix_GGUF | null | [
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GGUFs for URL
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null | fastai |
# Amazing!
🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([docume... | {"tags": ["fastai"]} | osvitore/delfinesoballenas | null | [
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#fastai #region-us
|
# Amazing!
Congratulations on hosting your fastai model on the Hugging Face Hub!
# Some next steps
1. Fill out this model card with more information (see the template below and the documentation here)!
2. Create a demo in Gradio or Streamlit using Spaces (documentation here).
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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-160m_mz-130_IMDB_n-its-10-seed-2
This model is a fine-tuned version of [EleutherAI/pythia-160m](https://huggin... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m", "model-index": [{"name": "robust_llm_pythia-160m_mz-130_IMDB_n-its-10-seed-2", "results": []}]} | AlignmentResearch/robust_llm_pythia-160m_mz-130_IMDB_n-its-10-seed-2 | null | [
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|
# robust_llm_pythia-160m_mz-130_IMDB_n-its-10-seed-2
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proc... | [
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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-160m_mz-130_IMDB_n-its-10-seed-3
This model is a fine-tuned version of [EleutherAI/pythia-160m](https://huggin... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m", "model-index": [{"name": "robust_llm_pythia-160m_mz-130_IMDB_n-its-10-seed-3", "results": []}]} | AlignmentResearch/robust_llm_pythia-160m_mz-130_IMDB_n-its-10-seed-3 | null | [
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|
# robust_llm_pythia-160m_mz-130_IMDB_n-its-10-seed-3
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proc... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | MoGP/f_x | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | heyllm234/sc75 | null | [
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null | null | # pfnet-nekomata-14b-pfn-qfin-gguf
[pfnetさんが公開しているnekomata-14b-pfn-qfin](https://huggingface.co/pfnet/nekomata-14b-pfn-qfin)のggufフォーマット変換版です。
imatrixのデータはTFMC/imatrix-dataset-for-japanese-llmを使用して作成しました。
## ライセンス
tongyi-qianwenライセンスになります。
[ご使用前にライセンスをご確認ください](https://huggingface.co/pfnet/nekomata-14b-pfn-qfin/blo... | {"language": ["en", "ja"], "license": "other", "tags": ["qwen"], "datasets": ["TFMC/imatrix-dataset-for-japanese-llm"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/pfnet/nekomata-14b-pfn-qfin/blob/main/LICENSE"} | mmnga/pfnet-nekomata-14b-pfn-qfin-gguf | null | [
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#gguf #qwen #en #ja #dataset-TFMC/imatrix-dataset-for-japanese-llm #license-other #region-us
| # pfnet-nekomata-14b-pfn-qfin-gguf
pfnetさんが公開しているnekomata-14b-pfn-qfinのggufフォーマット変換版です。
imatrixのデータはTFMC/imatrix-dataset-for-japanese-llmを使用して作成しました。
## ライセンス
tongyi-qianwenライセンスになります。
ご使用前にライセンスをご確認ください
## 他のモデル
mmnga/pfnet-nekomata-14b-pfn-qfin-gguf
mmnga/pfnet-nekomata-14b-pfn-qfin-inst-merge-gguf
## Us... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | MoGP/g_x | null | [
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"bert",
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"arxiv:1910.09700",
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-to-image | diffusers | **Github repo**: https://github.com/magic-research/piecewise-rectified-flow <br>
**PeRFlow accelerated SDXL-DreamShaper**: https://huggingface.co/Lykon/dreamshaper-xl-1-0
**Demo:**
```python
from pathlib import Path
import torch, torchvision
from diffusers import StableDiffusionXLPipeline
pipe = StableDiffusionXLPipe... | {"license": "cc-by-nc-4.0"} | hansyan/perflow-sdxl-dreamshaper | null | [
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| Github repo: URL <br>
PeRFlow accelerated SDXL-DreamShaper: URL
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text-generation | transformers |
# Uploaded model
- **Developed by:** akbargherbal
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | akbargherbal/think_tanks_v02_4bit | null | [
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|
# Uploaded model
- Developed by: akbargherbal
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/nbeerbower/llama-3-slerp-kraut-dragon-8B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If the... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "nbeerbower/llama-3-slerp-kraut-dragon-8B", "license_name": "llama3", "quantized_by": "mradermacher"} | mradermacher/llama-3-slerp-kraut-dragon-8B-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | null |
<!-- 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. -->
# experiments
This model is a fine-tuned version of [vilsonrodrigues/falcon-7b-instruct-sharded](https://huggingface.co/vilsonrodr... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "vilsonrodrigues/falcon-7b-instruct-sharded", "model-index": [{"name": "experiments", "results": []}]} | Swathi0810/experiments | null | [
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"base_model:vilsonrodrigues/falcon-7b-instruct-sharded",
"license:apache-2.0",
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#tensorboard #generated_from_trainer #base_model-vilsonrodrigues/falcon-7b-instruct-sharded #license-apache-2.0 #region-us
|
# experiments
This model is a fine-tuned version of vilsonrodrigues/falcon-7b-instruct-sharded on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training... | [
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null | null |
# NeuralsynthesisStrangemerges_32-7B
NeuralsynthesisStrangemerges_32-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: Kukedlc/NeuralSynthesis-7b-v0.4-slerp
- ... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/NeuralsynthesisStrangemerges_32-7B | null | [
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#merge #mergekit #lazymergekit #automerger #license-apache-2.0 #region-us
|
# NeuralsynthesisStrangemerges_32-7B
NeuralsynthesisStrangemerges_32-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# race color - 0,
# socioeconomic - 1,
# gender - 2,
# disability - 3,
# nationality - 4,
# sexualorientation - 5,
# physical-appearance... | {"tags": ["generated_from_keras_callback"], "model-index": [{"name": "bias_identificaiton45", "results": []}]} | PriyaPatel/bias_identificaiton45 | null | [
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# gender - 2,
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# nationality - 4,
# sexualorientation - 5,
# physical-appearance - 6,
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# age - 8.
# Proffesion - 9.
# bias_identificaiton45
This model was trained from scratch on an unknown dataset.
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image-to-3d | null |
Invisible Stitch: Generating Smooth 3D Scenes with Depth Inpainting
This repository contains the checkpoint for our depth completion network that also powers the demo at https://huggingface.co/spaces/paulengstler/invisible-stitch/
Please consider https://github.com/paulengstler/invisible-stitch for the code release.... | {"tags": ["image-to-3d"]} | paulengstler/invisible-stitch | null | [
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#image-to-3d #region-us #has_space
|
Invisible Stitch: Generating Smooth 3D Scenes with Depth Inpainting
This repository contains the checkpoint for our depth completion network that also powers the demo at URL
Please consider URL for the code release.
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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/Azure99/blossom-v3_1-yi-34b
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/blossom-v3_1-... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "datasets": ["Azure99/blossom-chat-v1", "Azure99/blossom-math-v2", "Azure99/blossom-wizard-v1", "Azure99/blossom-orca-v1"], "base_model": "Azure99/blossom-v3_1-yi-34b", "quantized_by": "mradermacher"} | mradermacher/blossom-v3_1-yi-34b-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | domenicrosati/lens-loss-minimality-l2_lr_2e-5_model_meta-llama_Llama-2-7b-chat-hf_batch_4_epoch_1_num_layers_6 | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
*There currently is an issue with the **model generating random reserved special tokens (like "<|reserved_special_token_49|>") at the end**. Please use with `skip_special_tokens=true`. We will update once we found the reason for this behaviour. If you found a solution, please let us know!*
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|
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# Llama 3 DiscoLM German 8b v0.... | [
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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": []} | tjl223/llama2-qlora-lyric-generator | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | AlienKevin/Meta-Llama-3-8B-tagllm-lang-1-reserved | null | [
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null | null |
# 🔥 Classifiers of FinTOC 2022 Shared task winners (ISPRAS team) 🔥
Classifiers of texual lines of English, French and Spanish financial prospects in PDF format for the [FinTOC 2022 Shared task](https://wp.lancs.ac.uk/cfie/fintoc2022/).
## 🤗 Source code 🤗
Training scripts are available in the repository https://... | {"language": ["en", "fr", "es"], "license": "mit"} | dedoc/fintoc_classifiers | null | [
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# Classifiers of FinTOC 2022 Shared task winners (ISPRAS team)
Classifiers of texual lines of English, French and Spanish financial prospects in PDF format for the FinTOC 2022 Shared task.
## Source code
Training scripts are available in the repository URL (see 'scripts/fintoc2022' directory).
## Task descrip... | [
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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": []} | berquetR/phi_first_train | 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-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-clinc
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-clinc", "results": []}]} | taoyoung/distilbert-base-uncased-finetuned-clinc | null | [
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| distilbert-base-uncased-finetuned-clinc
=======================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7867
* Accuracy: 0.9203
Model description
-----------------
More information nee... | [
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null | transformers |
# Uploaded model
- **Developed by:** VinhLlama
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | VinhLlama/Gemma7bVinhntV04_16bit | null | [
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|
# Uploaded model
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<img src="URL width="200"/>
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text-generation | transformers |
# Uploaded model
- **Developed by:** bharathirajan89
- **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... | {"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"} | bharathirajan89/bharathi_mistral_7b_pulse_unsloth_v2_merged | null | [
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|
# Uploaded model
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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. -->
# distilbert_base_finetuned
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert_base_finetuned", "results": []}]} | burkelive/distilbert_base_finetuned | null | [
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| distilbert\_base\_finetuned
===========================
This model is a fine-tuned version of distilbert-base-uncased on the English subset of pii200k dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1096
* Overall Precision: 0.8992
* Overall Recall: 0.9251
* Overall F1: 0.9120
* Overall ... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | kangXn/enta-st-mde | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | siddharth797/gemma-1.1-2B-Finetune | null | [
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### 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]:
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image-to-text | 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. -->
# donut-base-sroie
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-b... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "pipeline_tag": "image-to-text", "model-index": [{"name": "donut-base-sroie", "results": []}]} | jaydip-tss/donut-base-sroie | null | [
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|
# donut-base-sroie
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/WesPro/PsyKidelic_Llama3_LimaRP
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not ... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "WesPro/PsyKidelic_Llama3_LimaRP", "quantized_by": "mradermacher"} | mradermacher/PsyKidelic_Llama3_LimaRP-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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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. -->
# lilt-en-aadhaar-red
This model is a fine-tuned version of [SCUT-DLVCLab/lilt-roberta-en-base](https://huggingface.co/SCUT-DLVCLa... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "SCUT-DLVCLab/lilt-roberta-en-base", "model-index": [{"name": "lilt-en-aadhaar-red", "results": []}]} | prashantloni/lilt-en-aadhaar-red | null | [
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| lilt-en-aadhaar-red
===================
This model is a fine-tuned version of SCUT-DLVCLab/lilt-roberta-en-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0287
* Adhaar Number: {'precision': 0.9743589743589743, 'recall': 0.9743589743589743, 'f1': 0.9743589743589743, 'num... | [
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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": []} | notbdq/distilgt2-turkish | null | [
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null | transformers |
# Uploaded model
- **Developed by:** lvchongen
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | lvchongen/demo_model | 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/sad_llama_37 | null | [
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sentence-similarity | sentence-transformers |
# Randstad/LaBSe_GCP
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | Randstad/LaBSe_GCP | null | [
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# Randstad/LaBSe_GCP
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
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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. -->
# train_2024-04-24-13-17-50
This model is a fine-tuned version of [baichuan-inc/Baichuan-7B](https://huggingface.co/baichuan-inc/B... | {"license": "other", "library_name": "peft", "tags": ["llama-factory", "lora", "generated_from_trainer"], "base_model": "baichuan-inc/Baichuan-7B", "model-index": [{"name": "train_2024-04-24-13-17-50", "results": []}]} | Sylvia2025/baichuan-7B-alpaca-gpt4-zh | null | [
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|
# train_2024-04-24-13-17-50
This model is a fine-tuned version of baichuan-inc/Baichuan-7B on the alpaca_gpt4_zh and the alpaca_zh datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training ... | [
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audio-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_mind_model
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-ba... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["minds14"], "metrics": ["accuracy"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "my_awesome_mind_model", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name": "minds14", ... | ALIGHASEMI931/my_awesome_mind_model | null | [
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| my\_awesome\_mind\_model
========================
This model is a fine-tuned version of facebook/wav2vec2-base on the minds14 dataset.
It achieves the following results on the evaluation set:
* Loss: 2.6635
* Accuracy: 0.0265
Model description
-----------------
More information needed
Intended uses & limitati... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="hossniper/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional a... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | hossniper/q-FrozenLake-v1-4x4-noSlippery | null | [
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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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. -->
# outputs
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "outputs", "results": []}]} | BenjaminTT/outputs | null | [
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|
# outputs
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B 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
Th... | [
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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. -->
# summarization_model
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "summarization_model", "results": []}]} | umairaziz719/summarization_model | null | [
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"base_model:t5-small",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-24T13:29:36+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-t5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| summarization\_model
====================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.4079
* Rouge1: 0.1935
* Rouge2: 0.0918
* Rougel: 0.1631
* Rougelsum: 0.1629
* Gen Len: 19.0
Model description
-----------------
More ... | [
"### 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: 4",
"### Traini... | [
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null | null |
# apitchai/Mixtral-8x7B-Instruct-v0.1-Q4_0-GGUF
This model was converted to GGUF format from [`mistralai/Mixtral-8x7B-Instruct-v0.1`](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [o... | {"language": ["fr", "it", "de", "es", "en"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "inference": {"parameters": {"temperature": 0.5}}, "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | apitchai/Mixtral-8x7B-Instruct-v0.1-Q4_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"fr",
"it",
"de",
"es",
"en",
"license:apache-2.0",
"region:us"
] | null | 2024-04-24T13:30:55+00:00 | [] | [
"fr",
"it",
"de",
"es",
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #fr #it #de #es #en #license-apache-2.0 #region-us
|
# apitchai/Mixtral-8x7B-Instruct-v0.1-Q4_0-GGUF
This model was converted to GGUF format from 'mistralai/Mixtral-8x7B-Instruct-v0.1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
... | [
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"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL ser... | [
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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. -->
# sanchit-gandhi/Mistral-7B-v0.1-6-layer
This model is a fine-tuned version of [sanchit-gandhi/Mistral-7B-v0.1-6-layer](https://hu... | {"tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "alignment-handbook", "generated_from_trainer"], "datasets": ["stingning/ultrachat"], "base_model": "sanchit-gandhi/Mistral-7B-v0.1-6-layer", "model-index": [{"name": "sanchit-gandhi/Mistral-7B-v0.1-6-layer", "results": []}]} | sanchit-gandhi/distil-zephyr-1.5b-ssft-ultrachat | null | [
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"autotrain_compatible",
"endpoints_compatible",
... | null | 2024-04-24T13:31:31+00:00 | [] | [] | TAGS
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| sanchit-gandhi/Mistral-7B-v0.1-6-layer
======================================
This model is a fine-tuned version of sanchit-gandhi/Mistral-7B-v0.1-6-layer on the stingning/ultrachat dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0042
Model description
-----------------
More informat... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 8\n* total\\_train\\_batch\\_size: 256\n* total\\_eval\\_batch\\_size: 256\... | [
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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": []} | JFernandoGRE/mixtral8x7binstruct_augmenteddemocracy_adapter | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T13:31:36+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | JBERN29/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-24T13:34:03+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
null | null |
# luca10g/Suzume-llama-3-8B-multilingual-Q6K-GGUF
**At the time of converting this model, there was no Q6K version available.**
This model was converted to GGUF format from [`lightblue/suzume-llama-3-8B-multilingual`](https://huggingface.co/lightblue/suzume-llama-3-8B-multilingual) using llama.cpp via the ggml.ai's ... | {"license": "other", "tags": ["generated_from_trainer", "llama-cpp", "gguf-my-repo"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "license_name": "llama-3", "license_link": "https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct/raw/main/LICENSE", "model-index": [{"name": "lightblue/suzume-llama-3-8B-multi... | luca10g/Suzume-llama-3-8B-multilingual-Q6K-GGUF | null | [
"gguf",
"generated_from_trainer",
"llama-cpp",
"gguf-my-repo",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:other",
"region:us"
] | null | 2024-04-24T13:34:06+00:00 | [] | [] | TAGS
#gguf #generated_from_trainer #llama-cpp #gguf-my-repo #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-other #region-us
|
# luca10g/Suzume-llama-3-8B-multilingual-Q6K-GGUF
At the time of converting this model, there was no Q6K version available.
This model was converted to GGUF format from 'lightblue/suzume-llama-3-8B-multilingual' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the mode... | [
"# luca10g/Suzume-llama-3-8B-multilingual-Q6K-GGUF\n\nAt the time of converting this model, there was no Q6K version available.\n\nThis model was converted to GGUF format from 'lightblue/suzume-llama-3-8B-multilingual' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on... | [
"TAGS\n#gguf #generated_from_trainer #llama-cpp #gguf-my-repo #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-other #region-us \n",
"# luca10g/Suzume-llama-3-8B-multilingual-Q6K-GGUF\n\nAt the time of converting this model, there was no Q6K version available.\n\nThis model was converted to GGUF format fr... | [
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text-generation | transformers |
> [!TIP]
> This is official GPTQ. Quantized using train data.
# LYNN - AI for Roleplay
<img src="./reallynn.png" alt="it's lynn!" width="340"/>
> [!TIP]
> This model is overfitted to the role-playing dataset; normal conversations may not work well.
# Soliloquy-L3
Soliloquy-L3 is a fast, highly capable roleplaying... | {"language": ["en"], "license": "cc-by-nc-sa-4.0"} | openlynn/Llama-3-Soliloquy-8B-GPTQ | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
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"en",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-24T13:34:12+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #conversational #en #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
>
> [!TIP]
> This is official GPTQ. Quantized using train data.
>
>
>
LYNN - AI for Roleplay
======================
>
> [!TIP]
> This model is overfitted to the role-playing dataset; normal conversations may not work well.
>
>
>
Soliloquy-L3
============
Soliloquy-L3 is a fast, hi... | [] | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #en #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n"
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] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/yzhuang/Meta-Llama-3-8B-Instruct_fictional_Chinese_v2
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "yzhuang/Meta-Llama-3-8B-Instruct_fictional_Chinese_v2", "quantized_by": "mradermacher"} | mradermacher/Meta-Llama-3-8B-Instruct_fictional_Chinese_v2-GGUF | null | [
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"gguf",
"trl",
"sft",
"generated_from_trainer",
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"base_model:yzhuang/Meta-Llama-3-8B-Instruct_fictional_Chinese_v2",
"license:other",
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] | null | 2024-04-24T13:34:26+00:00 | [] | [
"en"
] | TAGS
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text-generation | transformers | I dunno what I did. I kind of hecked together "Undi95/Llama-3-Unholy-8B-e4" and "dreamgen/WizardLM-2-7B".
I dont even know if it works. | {} | zuzuka17/LaZardy3_7.3B | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-24T13:36:35+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| I dunno what I did. I kind of hecked together "Undi95/Llama-3-Unholy-8B-e4" and "dreamgen/WizardLM-2-7B".
!Fox1
I dont even know if it works. | [] | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
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text-classification | transformers |
# Spanish Fake News Classifier
## Overview
This BERT-based text classifier was developed as a thesis project for the Computer Engineering degree at Universidad de Buenos Aires (UBA).
The model is designed to detect fake news in Spanish and was fine-tuned on the *dccuchile/bert-base-spanish-wwm-uncased* model using ... | {"language": ["es"], "license": "apache-2.0", "metrics": ["accuracy"], "pipeline_tag": "text-classification", "widget": [{"text": "La tierra es Plana", "output": [{"label": "False", "score": 0.882}, {"label": "True", "score": 0.118}]}]} | VerificadoProfesional/SaBERT-Spanish-Fake-News | null | [
"transformers",
"safetensors",
"bert",
"text-classification",
"es",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T13:38:23+00:00 | [] | [
"es"
] | TAGS
#transformers #safetensors #bert #text-classification #es #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# Spanish Fake News Classifier
## Overview
This BERT-based text classifier was developed as a thesis project for the Computer Engineering degree at Universidad de Buenos Aires (UBA).
The model is designed to detect fake news in Spanish and was fine-tuned on the *dccuchile/bert-base-spanish-wwm-uncased* model using ... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# donut_synDB_da
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-bas... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut_synDB_da", "results": []}]} | Donut01/donut_synDB_da | null | [
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| donut\_synDB\_da
================
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0747
Model description
-----------------
More information needed
Intended uses & limitations
------------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 6e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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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. -->
# whisper-med-LoRA_nosie_128_256_45k
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/w... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "openai/whisper-medium", "model-index": [{"name": "whisper-med-LoRA_nosie_128_256_45k", "results": []}]} | adityarra07/whisper-med-LoRA_nosie_128_256_45k | null | [
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#generated_from_trainer #base_model-openai/whisper-medium #license-apache-2.0 #region-us
| whisper-med-LoRA\_nosie\_128\_256\_45k
======================================
This model is a fine-tuned version of openai/whisper-medium on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1914
* Wer: 8.6601
Model description
-----------------
More information needed
Int... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
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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"]} | ThatOneSkyler/ppo-Huggy | null | [
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"Huggy",
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#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
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null | transformers | # Jina V2 Embed Model
Reupload of the jina embedding model that removes the dependence on onnx and optimum, by recreating it with a custom class in Takeoff.
| {} | TitanML/jina-v2-code-embed | null | [
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#transformers #safetensors #bert #custom_code #endpoints_compatible #region-us
| # Jina V2 Embed Model
Reupload of the jina embedding model that removes the dependence on onnx and optimum, by recreating it with a custom class in Takeoff.
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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. -->
# LLAMA3-8BI-APPS
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Me... | {"license": "other", "library_name": "peft", "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "LLAMA3-8BI-APPS", "results": []}]} | AdnanRiaz107/CodeLLAMA3-8BI-APPS | null | [
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#peft #safetensors #llama #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-other #region-us
| LLAMA3-8BI-APPS
===============
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1490
Model description
-----------------
More information needed
Intended uses & limitations
---------------------... | [
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feature-extraction | sentence-transformers | <!-- TODO: add evaluation results here -->
<br><br>
<p align="center">
<img src="https://aeiljuispo.cloudimg.io/v7/https://cdn-uploads.huggingface.co/production/uploads/603763514de52ff951d89793/AFoybzd5lpBQXEBrQHuTt.png?w=200&h=200&f=face" alt="Finetuner logo: Finetuner helps you to create experiments in order to impr... | {"language": "en", "license": "apache-2.0", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "mteb"], "datasets": ["allenai/c4"], "inference": false, "model-index": [{"name": "jina-embedding-b-en-v2", "results": [{"task": {"type": "Classification"}, "dataset": {"name": "MTEB AmazonCounterf... | TitanML/jina-v2-base-en-embed | null | [
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|
<br><br>
<p align="center">
<img src="URL/URL alt="Finetuner logo: Finetuner helps you to create experiments in order to improve embeddings on search tasks. It accompanies you to deliver the last mile of performance-tuning for neural search applications." width="150px">
</p>
<p align="center">
<b>The text embedding... | [
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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. -->
<img src="https://huggingface.co/HuggingFaceH4/zephyr-7b-alpha/resolve/main/thumbnail.png" alt="Zephyr Logo" width="800" style="mar... | {"language": ["en"], "license": "mit", "tags": ["generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k", "HuggingFaceH4/ultrafeedback_binarized"], "base_model": "mistralai/Mistral-7B-v0.1", "widget": [{"example_title": "Pirate!", "messages": [{"role": "system", "content": "You are a pirate chatbot who al... | bwuzhang/test_5 | null | [
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Model Card for Zephyr 7B β
==========================
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/stable-lol2 | null | [
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# Model Card for Model ID
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### Model Description
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | hibikaze/gpt_0.084B_en-ja_step3815 | null | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# LoRA text2image fine-tuning - sassad/face-lora
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The w... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "lora", "stable-diffusion", "stab... | sassad/face-lora | null | [
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|
# LoRA text2image fine-tuning - sassad/face-lora
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the /home/lch/face/images dataset. You can find some example images in the following.
!img_0
!img_1
!img_2
!img_3
## Intended uses & limitations
#### How to use
... | [
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null | transformers |
# Pointwise MonoBERT trained on Baidu-ULTR with Inverse Propensity Scoring (IPS)
A flax-based MonoBERT cross encoder trained on the [Baidu-ULTR](https://arxiv.org/abs/2207.03051) dataset with the **pointwise sigmoid cross-entropy loss with IPS correction** suggested by [Bekker et al.](https://arxiv.org/abs/1809.03207)... | {"license": "mit", "datasets": ["philipphager/baidu-ultr-pretrain", "philipphager/baidu-ultr_uva-mlm-ctr"], "metrics": ["log-likelihood", "dcg@1", "dcg@3", "dcg@5", "dcg@10", "ndcg@10", "mrr@10"], "co2_eq_emissions": {"emissions": 2090, "source": "Calculated using the [ML CO2 impact calculator](https://mlco2.github.io/... | philipphager/baidu-ultr_uva-bert_ips-pointwise | null | [
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| Pointwise MonoBERT trained on Baidu-ULTR with Inverse Propensity Scoring (IPS)
==============================================================================
A flax-based MonoBERT cross encoder trained on the Baidu-ULTR dataset with the pointwise sigmoid cross-entropy loss with IPS correction suggested by Bekker et a... | [] | [
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null | transformers |
# hus960/firefly-qwen1.5-en-7b-dpo-v0.1-Q4_K_M-GGUF
This model was converted to GGUF format from [`YeungNLP/firefly-qwen1.5-en-7b-dpo-v0.1`](https://huggingface.co/YeungNLP/firefly-qwen1.5-en-7b-dpo-v0.1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "basemodel": "Qwen/Qwen1.5-7B"} | hus960/firefly-qwen1.5-en-7b-dpo-v0.1-Q4_K_M-GGUF | null | [
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|
# hus960/firefly-qwen1.5-en-7b-dpo-v0.1-Q4_K_M-GGUF
This model was converted to GGUF format from 'YeungNLP/firefly-qwen1.5-en-7b-dpo-v0.1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or th... | [
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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": []} | marcelomathias/mistral_7b_lora_equus | 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-to-image | diffusers | # Nazareth
<Gallery />
## Trigger words
You should use `Atidira` to trigger the image generation.
You should use `Dira` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/Antiquarian/Nazareth/tree/main) them in the Files & versions tab.
| {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "Hyper realistic, A RAW Photo of a ((nude)) girl, shirt lift,open clothes, open shirt, cleavage, nipple slip,huge breasts, boob, breast slip, underboob, sideboob, (((skin detail))), HD, perfect, perky boobs, hi... | Antiquarian/Nazareth | null | [
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| # Nazareth
<Gallery />
## Trigger words
You should use 'Atidira' to trigger the image generation.
You should use 'Dira' to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results_bert_10K
This model is a fine-tuned version of [google-bert/bert-large-cased](https://huggingface.co/google-bert/bert-la... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google-bert/bert-large-cased", "model-index": [{"name": "results_bert_10K", "results": []}]} | Elkelouizajo/bert_mnli_10K | null | [
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# results_bert_10K
This model is a fine-tuned version of google-bert/bert-large-cased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
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More information needed
## Training procedure
### Training hyperpar... | [
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null | transformers |
# Listwise MonoBERT trained on Baidu-ULTR with Inverse Propensity Scoring (IPS)
A flax-based MonoBERT cross encoder trained on the [Baidu-ULTR](https://arxiv.org/abs/2207.03051) dataset with a **listwise softmax cross-entropy loss with IPS correction** adopted based on the work by [Ai et al](https://arxiv.org/abs/1804... | {"license": "mit", "datasets": ["philipphager/baidu-ultr-pretrain", "philipphager/baidu-ultr_uva-mlm-ctr"], "metrics": ["log-likelihood", "dcg@1", "dcg@3", "dcg@5", "dcg@10", "ndcg@10", "mrr@10"], "co2_eq_emissions": {"emissions": 2090, "source": "Calculated using the [ML CO2 impact calculator](https://mlco2.github.io/... | philipphager/baidu-ultr_uva-bert_ips-listwise | null | [
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| Listwise MonoBERT trained on Baidu-ULTR with Inverse Propensity Scoring (IPS)
=============================================================================
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-13b-chat-hf"} | bmehrba/Llama-2-13b-chat-hf-fine-tuned-adapters_Epistemic_Llama13b_0.0_Seed105 | null | [
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### Model Sources [optional]
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null | null | RegalHyperus' mirror of the fixed KLMv7s pretrain by SeoulStreamingStation. Go to https://huggingface.co/SeoulStreamingStation/KLMv7s for the OG | {} | RegalHyperus/KLMv7sMirror | null | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-13b-chat-hf"} | bmehrba/Llama-2-13b-chat-hf-fine-tuned_Epistemic_Llama13b_0.0_Seed105 | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | JFernandoGRE/mixtral_8x7b_augmenteddemocracy_dups_all4_25 | null | [
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