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null | transformers |
# DavidAU/Kunoichi-DPO-v2-Instruct-32k-7B-Q6_K-GGUF
This model was converted to GGUF format from [`mpasila/Kunoichi-DPO-v2-Instruct-32k-7B`](https://huggingface.co/mpasila/Kunoichi-DPO-v2-Instruct-32k-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["alpindale/Mistral-7B-v0.2-hf", "mistralai/Mistral-7B-Instruct-v0.2", "SanjiWatsuki/Kunoichi-DPO-v2-7B"]} | DavidAU/Kunoichi-DPO-v2-Instruct-32k-7B-Q6_K-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"llama-cpp",
"gguf-my-repo",
"base_model:alpindale/Mistral-7B-v0.2-hf",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"base_model:SanjiWatsuki/Kunoichi-DPO-v2-7B",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T03:49:08+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-alpindale/Mistral-7B-v0.2-hf #base_model-mistralai/Mistral-7B-Instruct-v0.2 #base_model-SanjiWatsuki/Kunoichi-DPO-v2-7B #endpoints_compatible #region-us
|
# DavidAU/Kunoichi-DPO-v2-Instruct-32k-7B-Q6_K-GGUF
This model was converted to GGUF format from 'mpasila/Kunoichi-DPO-v2-Instruct-32k-7B' 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... | [
"# DavidAU/Kunoichi-DPO-v2-Instruct-32k-7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'mpasila/Kunoichi-DPO-v2-Instruct-32k-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the ... | [
"TAGS\n#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-alpindale/Mistral-7B-v0.2-hf #base_model-mistralai/Mistral-7B-Instruct-v0.2 #base_model-SanjiWatsuki/Kunoichi-DPO-v2-7B #endpoints_compatible #region-us \n",
"# DavidAU/Kunoichi-DPO-v2-Instruct-32k-7B-Q6_K-GGUF\nThis model was conver... | [
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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. -->
# GUE_tf_3-seqsight_8192_512_17M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_17M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_17M", "model-index": [{"name": "GUE_tf_3-seqsight_8192_512_17M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_3-seqsight_8192_512_17M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_17M",
"region:us"
] | null | 2024-04-16T03:50:27+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us
| GUE\_tf\_3-seqsight\_8192\_512\_17M-L32\_all
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_17M on the mahdibaghbanzadeh/GUE\_tf\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5544
* F1 Score: 0.7019
* Accurac... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n*... | [
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"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optim... |
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. -->
# ClasificadorMotivoMora-Bert
This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-uncased](https://huggingface.... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "dccuchile/bert-base-spanish-wwm-uncased", "model-index": [{"name": "ClasificadorMotivoMora-Bert", "results": []}]} | Arodrigo/ClasificadorMotivoMora-Bert | null | [
"transformers",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:dccuchile/bert-base-spanish-wwm-uncased",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T03:50:37+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #text-classification #generated_from_trainer #base_model-dccuchile/bert-base-spanish-wwm-uncased #autotrain_compatible #endpoints_compatible #region-us
| ClasificadorMotivoMora-Bert
===========================
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4814
* Accuracy: 0.8427
Model description
-----------------
More information needed
In... | [
"### 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: 3",
"### Traini... | [
"TAGS\n#transformers #safetensors #bert #text-classification #generated_from_trainer #base_model-dccuchile/bert-base-spanish-wwm-uncased #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2... | [
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null | null |
# rabimba/Gemma-COT-Q4_K_M-GGUF
## Use with llama.cpp
Install llama.cpp through brew.
```bash
brew install ggerganov/ggerganov/llama.cpp
```
Invoke the llama.cpp server or the CLI.
CLI:
```bash
llama-cli --hf-repo rabimba/Gemma-COT-Q4_K_M-GGUF --model gemma-cot.Q4_K_M.gguf -p "The meaning to life and the universe ... | {"tags": ["llama-cpp", "gguf-my-repo"]} | rabimba/Gemma-COT-Q4_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"region:us"
] | null | 2024-04-16T03:51:13+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #region-us
|
# rabimba/Gemma-COT-Q4_K_M-GGUF
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: You can also use this checkpoint directly through the usage steps listed in the URL repo as well.
| [
"# rabimba/Gemma-COT-Q4_K_M-GGUF",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\n\n\nServer:\n\n\n\nNote: You can also use this checkpoint directly through the usage steps listed in the URL repo as well."
] | [
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] | [
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"TAGS\n#gguf #llama-cpp #gguf-my-repo #region-us \n# rabimba/Gemma-COT-Q4_K_M-GGUF## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\n\n\nServer:\n\n\n\nNote: You can also use this checkpoint directly through the usage steps listed in the URL repo as well."
] |
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. -->
# mt5-small-finetuned-wikisql2
This model is a fine-tuned version of [adityarao1612/mt5-small-finetuned-wikisql](https://huggingfa... | {"tags": ["generated_from_trainer"], "metrics": ["bleu"], "model-index": [{"name": "mt5-small-finetuned-wikisql2", "results": []}]} | Akki-off/mt5-small-finetuned-wikisql2 | null | [
"transformers",
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T03:51:44+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #mt5 #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| mt5-small-finetuned-wikisql2
============================
This model is a fine-tuned version of adityarao1612/mt5-small-finetuned-wikisql on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4787
* Bleu: 42.5374
* Gen Len: 16.3262
Model description
-----------------
More inf... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 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: 3",
"### Traini... | [
"TAGS\n#transformers #pytorch #tensorboard #mt5 #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_... | [
46,
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"TAGS\n#transformers #pytorch #tensorboard #mt5 #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\... |
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. -->
# GUE_tf_2-seqsight_8192_512_17M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_17M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_17M", "model-index": [{"name": "GUE_tf_2-seqsight_8192_512_17M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_2-seqsight_8192_512_17M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_17M",
"region:us"
] | null | 2024-04-16T03:54:50+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us
| GUE\_tf\_2-seqsight\_8192\_512\_17M-L32\_all
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_17M on the mahdibaghbanzadeh/GUE\_tf\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4508
* F1 Score: 0.7865
* Accurac... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_17M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n*... | [
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null | transformers |
# DavidAU/SeaMax-7B-Q6_K-GGUF
This model was converted to GGUF format from [`mpasila/SeaMax-7B`](https://huggingface.co/mpasila/SeaMax-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/mpasila/SeaMa... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["mpasila/PIPPA-Named-7B", "Locutusque/SlimHercules-4.0-Mistral-7B-v0.2", "cognitivecomputations/dolphin-2.8-mistral-7b-v02"]} | DavidAU/SeaMax-7B-Q6_K-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"llama-cpp",
"gguf-my-repo",
"base_model:mpasila/PIPPA-Named-7B",
"base_model:Locutusque/SlimHercules-4.0-Mistral-7B-v0.2",
"base_model:cognitivecomputations/dolphin-2.8-mistral-7b-v02",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T03:55:07+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-mpasila/PIPPA-Named-7B #base_model-Locutusque/SlimHercules-4.0-Mistral-7B-v0.2 #base_model-cognitivecomputations/dolphin-2.8-mistral-7b-v02 #endpoints_compatible #region-us
|
# DavidAU/SeaMax-7B-Q6_K-GGUF
This model was converted to GGUF format from 'mpasila/SeaMax-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: You can als... | [
"# DavidAU/SeaMax-7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'mpasila/SeaMax-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\n\n\nServer... | [
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text-generation | transformers |
<p style="font-size:20px;" align="center">
🏠 <a href="https://wizardlm.github.io/WizardLM2" target="_blank">WizardLM-2 Release Blog</a> </p>
<p align="center">
🤗 <a href="https://huggingface.co/collections/microsoft/wizardlm-2-661d403f71e6c8257dbd598a" target="_blank">HF Repo</a> •🐱 <a href="https://github.com/v... | {"license": "apache-2.0"} | KnutJaegersberg/WizardLM-2-8x22B | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"arxiv:2304.12244",
"arxiv:2306.08568",
"arxiv:2308.09583",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T03:56:06+00:00 | [
"2304.12244",
"2306.08568",
"2308.09583"
] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #arxiv-2304.12244 #arxiv-2306.08568 #arxiv-2308.09583 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
<p style="font-size:20px;" align="center">
<a href="URL target="_blank">WizardLM-2 Release Blog</a> </p>
<p align="center">
<a href="URL target="_blank">HF Repo</a> • <a href="URL target="_blank">Github Repo</a> • <a href="URL target="_blank">Twitter</a> • <a href="URL target="_blank">[WizardLM]</a> • <a hre... | [
"## News [2024/04/15]\n\nWe introduce and opensource WizardLM-2, our next generation state-of-the-art large language models, \nwhich have improved performance on complex chat, multilingual, reasoning and agent. \nNew family includes three cutting-edge models: WizardLM-2 8x22B, WizardLM-2 70B, and WizardLM-2 7B.\n\... | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #arxiv-2304.12244 #arxiv-2306.08568 #arxiv-2308.09583 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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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": "EleutherAI/gpt-j-6B"} | anusmriti298/dolly_6B_298A_model1 | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:EleutherAI/gpt-j-6B",
"region:us"
] | null | 2024-04-16T03:56:07+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-EleutherAI/gpt-j-6B #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
"# Model Card for Model ID",
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null | transformers |
# DavidAU/Mistral-7B-Erebus-v3-Instruct-32k-Q6_K-GGUF
This model was converted to GGUF format from [`mpasila/Mistral-7B-Erebus-v3-Instruct-32k`](https://huggingface.co/mpasila/Mistral-7B-Erebus-v3-Instruct-32k) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["alpindale/Mistral-7B-v0.2-hf", "mistralai/Mistral-7B-Instruct-v0.2", "KoboldAI/Mistral-7B-Erebus-v3"]} | DavidAU/Mistral-7B-Erebus-v3-Instruct-32k-Q6_K-GGUF | null | [
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"endpoints_compatible",
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] | null | 2024-04-16T03:56:47+00:00 | [] | [] | TAGS
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|
# DavidAU/Mistral-7B-Erebus-v3-Instruct-32k-Q6_K-GGUF
This model was converted to GGUF format from 'mpasila/Mistral-7B-Erebus-v3-Instruct-32k' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server o... | [
"# DavidAU/Mistral-7B-Erebus-v3-Instruct-32k-Q6_K-GGUF\nThis model was converted to GGUF format from 'mpasila/Mistral-7B-Erebus-v3-Instruct-32k' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke ... | [
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null | transformers |
# DavidAU/Mistral-7B-Holodeck-1-Instruct-32k-Q6_K-GGUF
This model was converted to GGUF format from [`mpasila/Mistral-7B-Holodeck-1-Instruct-32k`](https://huggingface.co/mpasila/Mistral-7B-Holodeck-1-Instruct-32k) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) spa... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["alpindale/Mistral-7B-v0.2-hf", "mistralai/Mistral-7B-Instruct-v0.2", "KoboldAI/Mistral-7B-Holodeck-1"]} | DavidAU/Mistral-7B-Holodeck-1-Instruct-32k-Q6_K-GGUF | null | [
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"base_model:KoboldAI/Mistral-7B-Holodeck-1",
"endpoints_compatible",
"region:us"
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#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-alpindale/Mistral-7B-v0.2-hf #base_model-mistralai/Mistral-7B-Instruct-v0.2 #base_model-KoboldAI/Mistral-7B-Holodeck-1 #endpoints_compatible #region-us
|
# DavidAU/Mistral-7B-Holodeck-1-Instruct-32k-Q6_K-GGUF
This model was converted to GGUF format from 'mpasila/Mistral-7B-Holodeck-1-Instruct-32k' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server... | [
"# DavidAU/Mistral-7B-Holodeck-1-Instruct-32k-Q6_K-GGUF\nThis model was converted to GGUF format from 'mpasila/Mistral-7B-Holodeck-1-Instruct-32k' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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text-generation | transformers |
# karasu-1.1B-slerpx2
karasu-1.1B-slerpx2 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [lightblue/karasu-1.1B](https://huggingface.co/lightblue/karasu-1.1B)
* [aipib/karasu-1.1B-slerp_reverse](https://huggingface.co/a... | {"tags": ["merge", "mergekit", "lazymergekit", "lightblue/karasu-1.1B", "aipib/karasu-1.1B-slerp_reverse"], "base_model": ["lightblue/karasu-1.1B", "aipib/karasu-1.1B-slerp_reverse"]} | aipib/karasu-1.1B-slerpx2 | null | [
"transformers",
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"llama",
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"merge",
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"base_model:aipib/karasu-1.1B-slerp_reverse",
"autotrain_compatible",
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"tex... | null | 2024-04-16T03:58:06+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #merge #mergekit #lazymergekit #lightblue/karasu-1.1B #aipib/karasu-1.1B-slerp_reverse #base_model-lightblue/karasu-1.1B #base_model-aipib/karasu-1.1B-slerp_reverse #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# karasu-1.1B-slerpx2
karasu-1.1B-slerpx2 is a merge of the following models using LazyMergekit:
* lightblue/karasu-1.1B
* aipib/karasu-1.1B-slerp_reverse
## Configuration
## Usage
| [
"# karasu-1.1B-slerpx2\n\nkarasu-1.1B-slerpx2 is a merge of the following models using LazyMergekit:\n* lightblue/karasu-1.1B\n* aipib/karasu-1.1B-slerp_reverse",
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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. -->
# ClasificadorMotivoMora-Roberta
This model is a fine-tuned version of [bertin-project/bertin-roberta-base-spanish](https://huggin... | {"license": "cc-by-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bertin-project/bertin-roberta-base-spanish", "model-index": [{"name": "ClasificadorMotivoMora-Roberta", "results": []}]} | Arodrigo/ClasificadorMotivoMora-Roberta | null | [
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"roberta",
"text-classification",
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"base_model:bertin-project/bertin-roberta-base-spanish",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T03:58:43+00:00 | [] | [] | TAGS
#transformers #safetensors #roberta #text-classification #generated_from_trainer #base_model-bertin-project/bertin-roberta-base-spanish #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #region-us
| ClasificadorMotivoMora-Roberta
==============================
This model is a fine-tuned version of bertin-project/bertin-roberta-base-spanish on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6173
* Accuracy: 0.8154
Model description
-----------------
More information ne... | [
"### 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: 3",
"### Traini... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\... | [
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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": ["trl", "sft"]} | Kash777/mistral_b_finance_finetuned_test | null | [
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"safetensors",
"trl",
"sft",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T03:59:30+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #trl #sft #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | swj0419/email_STEP0000015 | null | [
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"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T04:00:49+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/WesPro/State-of-the-MoE_RP-3x7b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not ... | {"language": ["en"], "library_name": "transformers", "base_model": "WesPro/State-of-the-MoE_RP-3x7b", "quantized_by": "mradermacher"} | mradermacher/State-of-the-MoE_RP-3x7b-GGUF | null | [
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"en",
"base_model:WesPro/State-of-the-MoE_RP-3x7b",
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] | null | 2024-04-16T04:01:11+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-WesPro/State-of-the-MoE_RP-3x7b #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] | [
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] |
null | transformers |
# DavidAU/LemonadeRP-4.5.3-11B-Q6_K-GGUF
This model was converted to GGUF format from [`mpasila/LemonadeRP-4.5.3-11B`](https://huggingface.co/mpasila/LemonadeRP-4.5.3-11B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](htt... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["KatyTheCutie/LemonadeRP-4.5.3"]} | DavidAU/LemonadeRP-4.5.3-11B-Q6_K-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"llama-cpp",
"gguf-my-repo",
"base_model:KatyTheCutie/LemonadeRP-4.5.3",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T04:01:27+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-KatyTheCutie/LemonadeRP-4.5.3 #endpoints_compatible #region-us
|
# DavidAU/LemonadeRP-4.5.3-11B-Q6_K-GGUF
This model was converted to GGUF format from 'mpasila/LemonadeRP-4.5.3-11B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server... | [
"# DavidAU/LemonadeRP-4.5.3-11B-Q6_K-GGUF\nThis model was converted to GGUF format from 'mpasila/LemonadeRP-4.5.3-11B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.... | [
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"TAGS\n#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-KatyTheCutie/LemonadeRP-4.5.3 #endpoints_compatible #region-us \n# DavidAU/LemonadeRP-4.5.3-11B-Q6_K-GGUF\nThis model was converted to GGUF format from 'mpasila/LemonadeRP-4.5.3-11B' using URL via the URL's GGUF-my-repo space.\nRefer t... |
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. -->
# ruBert-base-sberquad-0.005-len_4-filtered-v2
This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggingface.... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-0.005-len_4-filtered-v2", "results": []}]} | Shalazary/ruBert-base-sberquad-0.005-len_4-filtered-v2 | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:ai-forever/ruBert-base",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T04:01:53+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us
|
# ruBert-base-sberquad-0.005-len_4-filtered-v2
This model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
... | [
"# ruBert-base-sberquad-0.005-len_4-filtered-v2\n\nThis model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | swj0419/email_STEP0000012 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# NeuralPipe-7B-slerpv2
NeuralPipe-7B-slerpv2 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
* [mlabonne/NeuralHermes-2.5-M... | {"tags": ["merge", "mergekit", "lazymergekit", "mistralai/Mistral-7B-Instruct-v0.2", "mlabonne/NeuralHermes-2.5-Mistral-7B"], "base_model": ["mistralai/Mistral-7B-Instruct-v0.2", "mlabonne/NeuralHermes-2.5-Mistral-7B"]} | zmzmxz/NeuralPipe-7B-slerpv2 | null | [
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"base_model:mlabonne/NeuralHermes-2.5-Mistral-7B",
... | null | 2024-04-16T04:04:15+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #mistralai/Mistral-7B-Instruct-v0.2 #mlabonne/NeuralHermes-2.5-Mistral-7B #conversational #base_model-mistralai/Mistral-7B-Instruct-v0.2 #base_model-mlabonne/NeuralHermes-2.5-Mistral-7B #autotrain_compatible #endpoints_compatible #... |
# NeuralPipe-7B-slerpv2
NeuralPipe-7B-slerpv2 is a merge of the following models using LazyMergekit:
* mistralai/Mistral-7B-Instruct-v0.2
* mlabonne/NeuralHermes-2.5-Mistral-7B
## Configuration
## Usage
| [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_prom_prom_300_tata-seqsight_8192_512_30M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_prom_prom_300_tata-seqsight_8192_512_30M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_tata-seqsight_8192_512_30M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-16T04:05:03+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_prom\_prom\_300\_tata-seqsight\_8192\_512\_30M-L32\_all
============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_tata dataset.
It achieves the following results on the evaluation se... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 1536\n* eval\\_batch\\_size: 1536\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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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. -->
# GUE_prom_prom_300_notata-seqsight_8192_512_30M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_51... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_prom_prom_300_notata-seqsight_8192_512_30M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_notata-seqsight_8192_512_30M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_prom\_prom\_300\_notata-seqsight\_8192\_512\_30M-L32\_all
==============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_notata dataset.
It achieves the following results on the evaluat... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | AlanYR/FN_sentiment_tuned_kakao_model | null | [
"transformers",
"safetensors",
"deberta-v2",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T04:10:53+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #deberta-v2 #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | # ResplendentAI/Aura_v2_7B AWQ
- Model creator: [ResplendentAI](https://huggingface.co/ResplendentAI)
- Original model: [Aura_v2_7B](https://huggingface.co/ResplendentAI/Aura_v2_7B)
## Model Summary... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mistral", "4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible", "chatml"], "base_model": ["ResplendentAI/Paradigm_7B", "jeiku/Theory_of_Mind_Mistral", "ResplendentAI/Paradigm_7B", "jeiku/selfbot_256_mist... | solidrust/Aura_v2_7B-AWQ | null | [
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"text-generation",
"4-bit",
"AWQ",
"autotrain_compatible",
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"chatml",
"en",
"base_model:ResplendentAI/Paradigm_7B",
"license:apache-2.0",
"text-generation-inference",
"region:us"
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"en"
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#transformers #safetensors #mistral #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #chatml #en #base_model-ResplendentAI/Paradigm_7B #license-apache-2.0 #text-generation-inference #region-us
| # ResplendentAI/Aura_v2_7B AWQ
- Model creator: ResplendentAI
- Original model: Aura_v2_7B
!image/png
## Model Summary
The second version of the Aura line is a direct improvement over the original. Expect poetic and eloquent outputs with real emotion behind them.
I recommend keeping the temperature around 1.5 or l... | [
"# ResplendentAI/Aura_v2_7B AWQ\n\n- Model creator: ResplendentAI\n- Original model: Aura_v2_7B\n\n!image/png",
"## Model Summary\n\nThe second version of the Aura line is a direct improvement over the original. Expect poetic and eloquent outputs with real emotion behind them.\n\nI recommend keeping the temperatu... | [
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"# ResplendentAI/Aura_v2_7B AWQ\n\n- Model creator: ResplendentAI\n- Original model: ... | [
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null | null |
# DavidAU/SthenoWriter-L2-13B-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/SthenoWriter-L2-13B`](https://huggingface.co/Sao10K/SthenoWriter-L2-13B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://... | {"language": ["en"], "license": "llama2", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/SthenoWriter-L2-13B-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"license:llama2",
"region:us"
] | null | 2024-04-16T04:14:07+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-llama2 #region-us
|
# DavidAU/SthenoWriter-L2-13B-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/SthenoWriter-L2-13B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
"# DavidAU/SthenoWriter-L2-13B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/SthenoWriter-L2-13B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\... | [
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"## Use wit... | [
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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. -->
# controlnet-sidnarsipur/controlnet_rough
These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base w... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "controlnet", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "controlnet", "diffusers-training"], "base_model"... | sidnarsipur/controlnet_rough | null | [
"diffusers",
"safetensors",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"controlnet",
"diffusers-training",
"base_model:stabilityai/stable-diffusion-2-1-base",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-16T04:15:42+00:00 | [] | [] | TAGS
#diffusers #safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #controlnet #diffusers-training #base_model-stabilityai/stable-diffusion-2-1-base #license-creativeml-openrail-m #region-us
|
# controlnet-sidnarsipur/controlnet_rough
These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning.
You can find some example images below.
prompt: Roughness Map
!images_0)
prompt: Roughness Map
!images_1)
prompt: Roughness Map
!images_2)
prompt: Roughness Map
!i... | [
"# controlnet-sidnarsipur/controlnet_rough\n\nThese are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning.\nYou can find some example images below.\n\nprompt: Roughness Map\n!images_0)\nprompt: Roughness Map\n!images_1)\nprompt: Roughness Map\n!images_2)\nprompt: Roug... | [
"TAGS\n#diffusers #safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #controlnet #diffusers-training #base_model-stabilityai/stable-diffusion-2-1-base #license-creativeml-openrail-m #region-us \n",
"# controlnet-sidnarsipur/controlnet_rough\n\nThese are controlnet weights trained on stabili... | [
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null | null |
# DavidAU/SthenoWriter2.1-L2-13B-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/SthenoWriter2.1-L2-13B`](https://huggingface.co/Sao10K/SthenoWriter2.1-L2-13B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card]... | {"language": ["en"], "license": "llama2", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/SthenoWriter2.1-L2-13B-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"license:llama2",
"region:us"
] | null | 2024-04-16T04:15:46+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-llama2 #region-us
|
# DavidAU/SthenoWriter2.1-L2-13B-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/SthenoWriter2.1-L2-13B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Ser... | [
"# DavidAU/SthenoWriter2.1-L2-13B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/SthenoWriter2.1-L2-13B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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"## U... | [
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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. -->
# controlnet-sidnarsipur/controlnet_models
These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base ... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "controlnet", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "controlnet", "diffusers-training"], "base_model"... | sidnarsipur/controlnet_height | null | [
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"controlnet",
"diffusers-training",
"base_model:stabilityai/stable-diffusion-2-1-base",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-16T04:15:54+00:00 | [] | [] | TAGS
#diffusers #safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #controlnet #diffusers-training #base_model-stabilityai/stable-diffusion-2-1-base #license-creativeml-openrail-m #region-us
|
# controlnet-sidnarsipur/controlnet_models
These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning.
You can find some example images below.
prompt: Height Map
!images_0)
prompt: Height Map
!images_1)
prompt: Height Map
!images_2)
prompt: Height Map
!images_3)
... | [
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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"]} | keshav-kumar/ppo-Huggy | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-16T04:16:07+00:00 | [] | [] | TAGS
#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... | [
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutorial* wh... | [
"TAGS\n#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us \n",
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n W... | [
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"TAGS\n#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us \n# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrot... |
null | null |
# DavidAU/Stheno-1.10-L2-13B-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/Stheno-1.10-L2-13B`](https://huggingface.co/Sao10K/Stheno-1.10-L2-13B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://hug... | {"language": ["en"], "license": "llama2", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Stheno-1.10-L2-13B-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"license:llama2",
"region:us"
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"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-llama2 #region-us
|
# DavidAU/Stheno-1.10-L2-13B-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/Stheno-1.10-L2-13B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
"# DavidAU/Stheno-1.10-L2-13B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/Stheno-1.10-L2-13B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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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": []} | galbitang/qlora-koalpaca-polyglot-12.8b-50step_user111 | null | [
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# WizardLM-2-8x22B - EXL2 2.75bpw
This is a 2.75bpw EXL2 quant of [microsoft/WizardLM-2-8x22B](https://huggingface.co/microsoft/WizardLM-2-8x22B)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 m... | {"language": ["en"], "license": "apache-2.0", "tags": ["exl2"], "base_model": "microsoft/WizardLM-2-8x22B"} | Dracones/WizardLM-2-8x22B_exl2_2.75bpw | null | [
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| WizardLM-2-8x22B - EXL2 2.75bpw
===============================
This is a 2.75bpw EXL2 quant of microsoft/WizardLM-2-8x22B
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not wor... | [
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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": []} | zzttbrdd/sn6_04m | 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": []} | swj0419/bbc_STEP0000040 | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_prom_prom_core_all-seqsight_8192_512_30M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_prom_prom_core_all-seqsight_8192_512_30M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_all-seqsight_8192_512_30M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_prom\_prom\_core\_all-seqsight\_8192\_512\_30M-L32\_all
============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_all dataset.
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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. -->
# cdc_influenza_pagasus-x-large
This model is a fine-tuned version of [google/pegasus-x-large](https://huggingface.co/google/pegas... | {"tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/pegasus-x-large", "model-index": [{"name": "cdc_influenza_pagasus-x-large", "results": []}]} | PergaZuZ/cdc_influenza_pagasus-x-large | null | [
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#transformers #tensorboard #safetensors #pegasus_x #text2text-generation #generated_from_trainer #base_model-google/pegasus-x-large #autotrain_compatible #endpoints_compatible #region-us
| cdc\_influenza\_pagasus-x-large
===============================
This model is a fine-tuned version of google/pegasus-x-large on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0621
* Rouge1: 0.6667
* Rouge2: 0.6562
* Rougel: 0.6667
* Rougelsum: 0.6667
* Gen Len: 51.0
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | GalaganKV/Mistral-7B-Instruct-v0.2-MultiTask-v4 | null | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# w2v-bert-2.0-malayalam_mixeddataset_two.0
This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/f... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/w2v-bert-2.0", "model-index": [{"name": "w2v-bert-2.0-malayalam_mixeddataset_two.0", "results": []}]} | Bajiyo/w2v-bert-2.0-malayalam_mixeddataset_two.0 | null | [
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| w2v-bert-2.0-malayalam\_mixeddataset\_two.0
===========================================
This model is a fine-tuned version of facebook/w2v-bert-2.0 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1425
* Wer: 0.1451
Model description
-----------------
More information ne... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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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. -->
# GUE_prom_prom_core_notata-seqsight_8192_512_30M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_5... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_prom_prom_core_notata-seqsight_8192_512_30M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_notata-seqsight_8192_512_30M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_prom\_prom\_core\_notata-seqsight\_8192\_512\_30M-L32\_all
===============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_notata dataset.
It achieves the following results on the eval... | [
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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/Sao10K/Euryale-Inverted-L2-70B
**No more quants are incoming, as llama.cpp crashes when generating them.**
<!-- provided-files -->
... | {"language": ["en"], "license": "cc-by-nc-4.0", "library_name": "transformers", "base_model": "Sao10K/Euryale-Inverted-L2-70B", "no_imatrix": "GGML_ASSERT: llama.cpp/ggml-quants.c:11239: grid_index >= 0", "quantized_by": "mradermacher"} | mradermacher/Euryale-Inverted-L2-70B-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
No more quants are incoming, as URL crashes when generating them.
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... | [] | [
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feature-extraction | 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. -->
# finetuned_bge_ver13
This model is a fine-tuned version of [BAAI/bge-m3](https://huggingface.co/BAAI/bge-m3) on an unknown datase... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "BAAI/bge-m3", "model-index": [{"name": "finetuned_bge_ver13", "results": []}]} | comet24082002/finetuned_bge_ver13 | null | [
"transformers",
"tensorboard",
"safetensors",
"xlm-roberta",
"feature-extraction",
"generated_from_trainer",
"base_model:BAAI/bge-m3",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T04:30:02+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #xlm-roberta #feature-extraction #generated_from_trainer #base_model-BAAI/bge-m3 #license-mit #endpoints_compatible #region-us
|
# finetuned_bge_ver13
This model is a fine-tuned version of BAAI/bge-m3 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
The f... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | simonamdev/openai-whisper-medium-jv-PeftType.LORA | null | [
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"safetensors",
"arxiv:1910.09700",
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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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. -->
# GUE_prom_prom_core_tata-seqsight_8192_512_30M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_prom_prom_core_tata-seqsight_8192_512_30M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_tata-seqsight_8192_512_30M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-16T04:30:19+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_prom\_prom\_core\_tata-seqsight\_8192\_512\_30M-L32\_all
=============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_tata dataset.
It achieves the following results on the evaluation... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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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. -->
# controlnet_normal
Estimate normal maps from basecolor maps.
## Intended uses & limitations
#### How to use
```python... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "controlnet", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "controlnet", "diffusers-training"], "datasets": ... | sidnarsipur/controlnet_normal | null | [
"diffusers",
"safetensors",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"controlnet",
"diffusers-training",
"dataset:gvecchio/MatSynth",
"base_model:stabilityai/stable-diffusion-2-1-base",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-16T04:33:32+00:00 | [] | [] | TAGS
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|
# controlnet_normal
Estimate normal maps from basecolor maps.
## Intended uses & limitations
#### How to use
#### Limitations and bias
[TODO: provide examples of latent issues and potential remediations]
## Training details
[TODO: describe the data used to train the model] | [
"# controlnet_normal\n\nEstimate normal maps from basecolor maps.",
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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. -->
# biomistral-7b-wo-kqa_golden-sft
This model is a fine-tuned version of [BioMistral/BioMistral-7B](https://huggingface.co/BioMistr... | {"license": "apache-2.0", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/deita-10k-v0-sft"], "base_model": "BioMistral/BioMistral-7B", "model-index": [{"name": "biomistral-7b-wo-kqa_golden-sft", "results": []}]} | Minbyul/biomistral-7b-wo-kqa_golden-sft | null | [
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"endpoints_compatible"... | null | 2024-04-16T04:37:46+00:00 | [] | [] | TAGS
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| biomistral-7b-wo-kqa\_golden-sft
================================
This model is a fine-tuned version of BioMistral/BioMistral-7B on the HuggingFaceH4/deita-10k-v0-sft dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7021
Model description
-----------------
More information needed
In... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n*... | [
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feature-extraction | sentence-transformers |
<h1 align="center">FlagEmbedding</h1>
<h4 align="center">
<p>
<a href=#model-list>Model List</a> |
<a href=#frequently-asked-questions>FAQ</a> |
<a href=#usage>Usage</a> |
<a href="#evaluation">Evaluation</a> |
<a href="#train">Train</a> |
<a href="#contact">Con... | {"language": ["en"], "license": "mit", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers", "mteb"], "model-index": [{"name": "bge-base-en-v1.5", "results": [{"task": {"type": "Classification"}, "dataset": {"name": "MTEB AmazonCounterfactualClassification (en)", "type": "mteb/a... | hsikchi/dump | null | [
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"arxiv:2310.07554",
"arxiv:2309.07597",
"license:mit",
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"region... | null | 2024-04-16T04:40:15+00:00 | [
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| FlagEmbedding
=============
####
[Model List](#model-list) |
[FAQ](#frequently-asked-questions) |
[Usage](#usage) |
[Evaluation](#evaluation) |
[Train](#train) |
[Contact](#contact) |
[Citation](#citation) |
[License](#license)
For more details please refer to our Github: FlagEmbedding.
If you are looki... | [
"#### \n\n[Model List](#model-list) | \n [FAQ](#frequently-asked-questions) |\n [Usage](#usage) |\n [Evaluation](#evaluation) |\n [Train](#train) |\n [Contact](#contact) |\n [Citation](#citation) |\n [License](#license)\n\n\nFor more details please refer to our Github: FlagEmbedding.\n\n\nIf you are looking for a m... | [
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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. -->
# ruBert-base-sberquad-0.005-len_4-filtered-negative-v2
This model is a fine-tuned version of [ai-forever/ruBert-base](https://hug... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-0.005-len_4-filtered-negative-v2", "results": []}]} | Shalazary/ruBert-base-sberquad-0.005-len_4-filtered-negative-v2 | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
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"license:apache-2.0",
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us
|
# ruBert-base-sberquad-0.005-len_4-filtered-negative-v2
This model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training p... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | voidful/mamba-790m-base | null | [
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"safetensors",
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"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #mamba #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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token-classification | transformers |
## Model Specification
- Model: XLM-RoBERTa (base-sized model)
- Training Data:
- Combined Afrikaans & Hebrew corpora (Top 2 Languages)
- Training Details:
- Base configurations with a minor adjustment in learning rate (4.5e-5)
## Evaluation
- Evaluation Dataset: Universal Dependencies Tagalog Ugnayan (Testing Set... | {"language": ["tl"], "datasets": ["universal_dependencies"], "metrics": ["f1"], "pipeline_tag": "token-classification"} | iceman2434/xlm-roberta-base-ft-udpos213-top2lang | null | [
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"tl"
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## Model Specification
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- Training Data:
- Combined Afrikaans & Hebrew corpora (Top 2 Languages)
- Training Details:
- Base configurations with a minor adjustment in learning rate (4.5e-5)
## Evaluation
- Evaluation Dataset: Universal Dependencies Tagalog Ugnayan (Testing Set... | [
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text-generation | transformers |
<p style="font-size:20px;" align="center">
🏠 <a href="https://wizardlm.github.io/WizardLM2" target="_blank">WizardLM-2 Release Blog</a> </p>
<p align="center">
🤗 <a href="https://huggingface.co/collections/microsoft/wizardlm-2-661d403f71e6c8257dbd598a" target="_blank">HF Repo</a> •🐱 <a href="https://github.com/v... | {"license": "apache-2.0"} | prince-canuma/WizardLM-2-8x22B | null | [
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"2304.12244",
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|
<p style="font-size:20px;" align="center">
<a href="URL target="_blank">WizardLM-2 Release Blog</a> </p>
<p align="center">
<a href="URL target="_blank">HF Repo</a> • <a href="URL target="_blank">Github Repo</a> • <a href="URL target="_blank">Twitter</a> • <a href="URL target="_blank">[WizardLM]</a> • <a hre... | [
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sentence-similarity | sentence-transformers |
# indobert-finetuned-indonli
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.
It's based on the [IndoBERT](https://huggingface.co/indobenchmark/indobert-base-p2) model b... | {"language": ["id"], "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "datasets": ["indonli"], "pipeline_tag": "sentence-similarity"} | cassador/indobert-embeddings | null | [
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# indobert-finetuned-indonli
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.
It's based on the IndoBERT model by indobenchmark and trained using the IndoNLI dataset on Google Colab.
## 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. -->
# GUE_prom_prom_300_all-seqsight_8192_512_30M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_3... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_prom_prom_300_all-seqsight_8192_512_30M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_all-seqsight_8192_512_30M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_prom\_prom\_300\_all-seqsight\_8192\_512\_30M-L32\_all
===========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_all dataset.
It achieves the following results on the evaluation set:
... | [
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text-to-audio | transformers |
# music_generation_model
music_generation_model is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [TheBloke/openchat_3.5-GPTQ](https://huggingface.co/TheBloke/openchat_3.5-GPTQ)
* [asigalov61/Allegro-Music-Transformer](htt... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "TheBloke/openchat_3.5-GPTQ", "asigalov61/Allegro-Music-Transformer"], "base_model": ["TheBloke/openchat_3.5-GPTQ", "asigalov61/Allegro-Music-Transformer"], "pipeline_tag": "text-to-audio"} | nagayama0706/music_generation_model | null | [
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"base_model:TheBloke/openchat_3.5-GPTQ",
"base_model:asigalov61/Allegro-Music-Transformer",
"license:apache... | null | 2024-04-16T04:49:22+00:00 | [] | [] | TAGS
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# music_generation_model
music_generation_model is a merge of the following models using LazyMergekit:
* TheBloke/openchat_3.5-GPTQ
* asigalov61/Allegro-Music-Transformer
## Configuration
## Usage
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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": []} | abhayesian/BobzillaV25 | null | [
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"region:us"
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-7b-wo-kqa_golden-sft
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/... | {"license": "apache-2.0", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/deita-10k-v0-sft"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral-7b-wo-kqa_golden-sft", "results": []}]} | Minbyul/mistral-7b-wo-kqa_golden-sft | null | [
"transformers",
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"mistral",
"text-generation",
"alignment-handbook",
"trl",
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"base_model:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generatio... | null | 2024-04-16T04:54:10+00:00 | [] | [] | TAGS
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| mistral-7b-wo-kqa\_golden-sft
=============================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the HuggingFaceH4/deita-10k-v0-sft dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7294
Model description
-----------------
More information needed
Intende... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n*... | [
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null | null |
# DavidAU/Typhon-Mixtral-v1-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/Typhon-Mixtral-v1`](https://huggingface.co/Sao10K/Typhon-Mixtral-v1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggin... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["llama-cpp", "gguf-my-repo"], "base_model": "mistralai/Mixtral-8x7B-v0.1"} | DavidAU/Typhon-Mixtral-v1-Q6_K-GGUF | null | [
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"gguf-my-repo",
"en",
"base_model:mistralai/Mixtral-8x7B-v0.1",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-16T04:54:44+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #base_model-mistralai/Mixtral-8x7B-v0.1 #license-cc-by-nc-4.0 #region-us
|
# DavidAU/Typhon-Mixtral-v1-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/Typhon-Mixtral-v1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
No... | [
"# DavidAU/Typhon-Mixtral-v1-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/Typhon-Mixtral-v1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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text-generation | transformers |
# WizardLM-2-8x22B - EXL2 2.25bpw
This is a 2.25bpw EXL2 quant of [microsoft/WizardLM-2-8x22B](https://huggingface.co/microsoft/WizardLM-2-8x22B)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 m... | {"language": ["en"], "license": "apache-2.0", "tags": ["exl2"], "base_model": "microsoft/WizardLM-2-8x22B"} | Dracones/WizardLM-2-8x22B_exl2_2.25bpw | null | [
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| WizardLM-2-8x22B - EXL2 2.25bpw
===============================
This is a 2.25bpw EXL2 quant of microsoft/WizardLM-2-8x22B
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not wor... | [
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text-generation | transformers |
# Yamshadowexperiment28T3qm7xp-7B
Yamshadowexperiment28T3qm7xp-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: automerger/YamshadowExperiment28-7B
- model: n... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/Yamshadowexperiment28T3qm7xp-7B | null | [
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"text-generation",
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"region:us"
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#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #automerger #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Yamshadowexperiment28T3qm7xp-7B
Yamshadowexperiment28T3qm7xp-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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null | null |
# DavidAU/Venomia-1.1-m7-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/Venomia-1.1-m7`](https://huggingface.co/Sao10K/Venomia-1.1-m7) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Venomia-1.1-m7-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-16T04:59:15+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-cc-by-nc-4.0 #region-us
|
# DavidAU/Venomia-1.1-m7-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/Venomia-1.1-m7' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: Yo... | [
"# DavidAU/Venomia-1.1-m7-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/Venomia-1.1-m7' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\n\... | [
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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. -->
# layoutlm-funsd
This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["funsd"], "base_model": "microsoft/layoutlm-base-uncased", "model-index": [{"name": "layoutlm-funsd", "results": []}]} | unhingedpanda/layoutlm-funsd | null | [
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"dataset:funsd",
"base_model:microsoft/layoutlm-base-uncased",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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| layoutlm-funsd
==============
This model is a fine-tuned version of microsoft/layoutlm-base-uncased on the funsd dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0534
* Answer: {'precision': 0.38023152270703475, 'recall': 0.5278121137206427, 'f1': 0.44202898550724634, 'number': 809}
* Hea... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 15\n* mixed\\_prec... | [
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text-generation | pytorch |
# Model Card for wavecoder-ds-6.7b-GGUF
WaveCoder 🌊 is a series of large language models (LLMs) for the coding domain.
## Model Details
- WaveCoder-6.7b-ds = Trained using CodeOcean dataset
- WaveCoder-6.7b-pro = Trained using GPT-4 synthetic data
- WaveCoder-6.7b-ultra = Trained using enhanced GPT-4 synthetic dat... | {"language": ["en"], "license": "mit", "library_name": "pytorch", "tags": ["code", "deepseek", "gguf", "f32", "f16", "q2", "q8", "q6", "q4_k_m", "humaneval"], "pipeline_tag": "text-generation"} | leafspark/wavecoder-ds-6.7b-GGUF | null | [
"pytorch",
"gguf",
"code",
"deepseek",
"f32",
"f16",
"q2",
"q8",
"q6",
"q4_k_m",
"humaneval",
"text-generation",
"en",
"license:mit",
"region:us"
] | null | 2024-04-16T05:00:10+00:00 | [] | [
"en"
] | TAGS
#pytorch #gguf #code #deepseek #f32 #f16 #q2 #q8 #q6 #q4_k_m #humaneval #text-generation #en #license-mit #region-us
|
# Model Card for wavecoder-ds-6.7b-GGUF
WaveCoder is a series of large language models (LLMs) for the coding domain.
## Model Details
- WaveCoder-6.7b-ds = Trained using CodeOcean dataset
- WaveCoder-6.7b-pro = Trained using GPT-4 synthetic data
- WaveCoder-6.7b-ultra = Trained using enhanced GPT-4 synthetic data
... | [
"# Model Card for wavecoder-ds-6.7b-GGUF\n\nWaveCoder is a series of large language models (LLMs) for the coding domain.",
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null | null |
# DavidAU/Venomia-m7-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/Venomia-m7`](https://huggingface.co/Sao10K/Venomia-m7) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/Sao10K/Venom... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Venomia-m7-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-16T05:00:13+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-cc-by-nc-4.0 #region-us
|
# DavidAU/Venomia-m7-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/Venomia-m7' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: You can al... | [
"# DavidAU/Venomia-m7-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/Venomia-m7' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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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": "guanaco_Llama-2-7b-chat-hf_freeze_embed_tokens"} | tricktreat/Llama-2-7b-chat-hf-guanaco-freeze-embed-tokens-prompttuning | null | [
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"region:us"
] | null | 2024-04-16T05:00:49+00:00 | [
"1910.09700"
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#peft #tensorboard #safetensors #arxiv-1910.09700 #base_model-guanaco_Llama-2-7b-chat-hf_freeze_embed_tokens #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
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#... | [
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text-generation | transformers |
---
## Developed by :
* K2S3
## Model Number:
* K2S3-Mistral-7b-v1.50
## Base Model :
* mistralai/Mistral-7B-v0.1
### Training Data
* The training data for this model includes alpaca-gpt4-data, and samples from The OpenOrca Dataset.
* 이 모델의 훈련 데이터에는 alpaca-gpt4-data, 그리고 OpenOrca Dataset에서 제공한 샘플들이 포함됩니다.
### Tr... | {"language": ["en", "ko"], "license": "cc-by-nc-4.0"} | Changgil/K2S3-Mistral-7b-v1.50 | null | [
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"license:cc-by-nc-4.0",
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#transformers #safetensors #mistral #text-generation #en #ko #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
---
## Developed by :
* K2S3
## Model Number:
* K2S3-Mistral-7b-v1.50
## Base Model :
* mistralai/Mistral-7B-v0.1
### Training Data
* The training data for this model includes alpaca-gpt4-data, and samples from The OpenOrca Dataset.
* 이 모델의 훈련 데이터에는 alpaca-gpt4-data, 그리고 OpenOrca Dataset에서 제공한 샘플들이 포함됩니다.
### Tr... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-beans
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-... | {"license": "apache-2.0", "tags": ["image-classification", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "vit-base-beans", "results": []}]} | cogsci13/vit-base-beans | null | [
"transformers",
"tensorboard",
"safetensors",
"vit",
"image-classification",
"generated_from_trainer",
"base_model:google/vit-base-patch16-224-in21k",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T05:03:48+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #vit #image-classification #generated_from_trainer #base_model-google/vit-base-patch16-224-in21k #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| vit-base-beans
==============
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the beans dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0127
* Accuracy: 1.0
Model description
-----------------
More information needed
Intended uses & limitations
----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 4\n* mixed\\_prec... | [
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null | null |
# DavidAU/Winterreise-m7-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/Winterreise-m7`](https://huggingface.co/Sao10K/Winterreise-m7) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["LDJnr/Capybara", "chargoddard/rpguild", "PocketDoc/Guanaco-Unchained-Refined", "lemonilia/LimaRP"]} | DavidAU/Winterreise-m7-Q6_K-GGUF | null | [
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"dataset:lemonilia/LimaRP",
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|
# DavidAU/Winterreise-m7-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/Winterreise-m7' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: Yo... | [
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null | null | # Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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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": "guanaco_Llama-2-7b-chat-hf_freeze_q_v_proj"} | tricktreat/Llama-2-7b-chat-hf-guanaco-freeze-q-v-proj-lora | null | [
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### Model Sources [optional]
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text-generation | transformers |
<p style="font-size:20px;" align="center">
🏠 <a href="https://wizardlm.github.io/WizardLM2" target="_blank">WizardLM-2 Release Blog</a> </p>
<p align="center">
🤗 <a href="https://huggingface.co/collections/microsoft/wizardlm-2-661d403f71e6c8257dbd598a" target="_blank">HF Repo</a> •🐱 <a href="https://github.com/v... | {"license": "apache-2.0"} | dreamgen/WizardLM-2-8x22B | null | [
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<a href="URL target="_blank">WizardLM-2 Release Blog</a> </p>
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<a href="URL target="_blank">HF Repo</a> • <a href="URL target="_blank">Github Repo</a> • <a href="URL target="_blank">Twitter</a> • <a href="URL target="_blank">[WizardLM]</a> • <a hre... | [
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text-generation | transformers |
<p style="font-size:20px;" align="center">
🏠 <a href="https://wizardlm.github.io/WizardLM2" target="_blank">WizardLM-2 Release Blog</a> </p>
<p align="center">
🤗 <a href="https://huggingface.co/collections/microsoft/wizardlm-2-661d403f71e6c8257dbd598a" target="_blank">HF Repo</a> •🐱 <a href="https://github.com/v... | {"license": "apache-2.0"} | dreamgen-preview/WizardLM-2-8x22B | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_0-seqsight_8192_512_30M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https:... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_mouse_0-seqsight_8192_512_30M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_0-seqsight_8192_512_30M-L32_all | null | [
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"generated_from_trainer",
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_mouse\_0-seqsight\_8192\_512\_30M-L32\_all
===============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_mouse\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 2.5626
* F1 Score: 0.6122
... | [
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text-generation | transformers |
<p style="font-size:20px;" align="center">
🏠 <a href="https://wizardlm.github.io/WizardLM2" target="_blank">WizardLM-2 Release Blog</a> </p>
<p align="center">
🤗 <a href="https://huggingface.co/collections/microsoft/wizardlm-2-661d403f71e6c8257dbd598a" target="_blank">HF Repo</a> •🐱 <a href="https://github.com/... | {"license": "apache-2.0"} | dreamgen/WizardLM-2-7B | null | [
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|
<p style="font-size:20px;" align="center">
<a href="URL target="_blank">WizardLM-2 Release Blog</a> </p>
<p align="center">
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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. -->
# GUE_mouse_1-seqsight_8192_512_30M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https:... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_mouse_1-seqsight_8192_512_30M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_1-seqsight_8192_512_30M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-16T05:08:32+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_mouse\_1-seqsight\_8192\_512\_30M-L32\_all
===============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_mouse\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5028
* F1 Score: 0.8025
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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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. -->
# GUE_mouse_4-seqsight_8192_512_30M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https:... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_mouse_4-seqsight_8192_512_30M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_4-seqsight_8192_512_30M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-16T05:08:33+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_mouse\_4-seqsight\_8192\_512\_30M-L32\_all
===============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_mouse\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9522
* F1 Score: 0.5660
... | [
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document-question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# layoutlmv2-base-uncased_finetuned_passport
This model is a fine-tuned version of [microsoft/layoutlmv2-base-uncased](https://hug... | {"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "base_model": "microsoft/layoutlmv2-base-uncased", "model-index": [{"name": "layoutlmv2-base-uncased_finetuned_passport", "results": []}]} | EphronM/layoutlmv2-base-uncased_finetuned_passport | null | [
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| layoutlmv2-base-uncased\_finetuned\_passport
============================================
This model is a fine-tuned version of microsoft/layoutlmv2-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9620
Model description
-----------------
More information need... | [
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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. -->
# GUE_mouse_3-seqsight_8192_512_30M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https:... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_mouse_3-seqsight_8192_512_30M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_3-seqsight_8192_512_30M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_mouse\_3-seqsight\_8192\_512\_30M-L32\_all
===============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_mouse\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 2.6646
* F1 Score: 0.6945
... | [
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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": []} | swj0419/email_retrain_STEP0000002 | 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": []} | yentinglin/Taiwan-LLM-8x7B-DPO-awq | 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 |
<!-- 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. -->
# llama2-7b-wo-kqa_golden-sft
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/L... | {"tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/deita-10k-v0-sft"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "llama2-7b-wo-kqa_golden-sft", "results": []}]} | Minbyul/llama2-7b-wo-kqa_golden-sft | null | [
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| llama2-7b-wo-kqa\_golden-sft
============================
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the HuggingFaceH4/deita-10k-v0-sft dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8030
Model description
-----------------
More information needed
Intended u... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 64\n*... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | 12thD/ko-gemma-7b-dpo-sft-v1.1 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
<p align="center">
<img width="1000px" alt="DeepSeek Coder" src="https://github.com/deepseek-ai/DeepSeek-Coder/blob/main/pictures/logo.png?raw=true">
</p>
<p align="center"><a href="https://www.deepseek.com/">[🏠Homepage]</a> | <a href="https://coder.deepseek.com/">[🤖 Chat with DeepSeek Coder]</a> | <a href="http... | {"license": "other", "license_name": "deepseek-license", "license_link": "LICENSE"} | TechxGenus/deepseek-coder-7b-base-v1.5-AQLM | null | [
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] | null | 2024-04-16T05:14:22+00:00 | [
"2401.06118"
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|
<p align="center">
<img width="1000px" alt="DeepSeek Coder" src="URL
</p>
<p align="center"><a href="URL | <a href="URL Chat with DeepSeek Coder]</a> | <a href="URL | <a href="URL(微信)]</a> </p>
<hr>
AQLM quantized version of deepseek-coder-6.7b-base model.
Refer to the official GitHub repo for more information.... | [
"### 1. Introduction of Deepseek-Coder-7B-Base-v1.5\n\nDeepseek-Coder-7B-Base-v1.5 is continue pre-trained from Deepseek-LLM 7B on 2T tokens by employing a window size of 4K and next token prediction objective.\n\n- Home Page: DeepSeek\n- Repository: deepseek-ai/deepseek-coder\n- Chat With DeepSeek Coder: DeepSeek-... | [
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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. -->
# ruBert-base-sberquad-0.01-len_2-filtered-v2
This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggingface.c... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-0.01-len_2-filtered-v2", "results": []}]} | Shalazary/ruBert-base-sberquad-0.01-len_2-filtered-v2 | null | [
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|
# ruBert-base-sberquad-0.01-len_2-filtered-v2
This model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
... | [
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text-to-image | diffusers |
## Majicmix-lux
<img src="" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This checkpoint model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details -
[](https://imagepipeline.io/m... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/Majicmix-lux | null | [
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#diffusers #imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
| Majicmix-lux
------------
![Generated on Image Pipeline]()
This checkpoint model is uploaded on URL
Model details -
![Try this model](URL
How to try this model ?
-----------------------
You can try using it locally or send an API call to test the output quality.
Get your 'API\_KEY' from URL. No payment requ... | [
"### API Reference",
"#### Generate Image\n\n\n\n\n\n\n---\n\n\nlicense: creativeml-openrail-m\ntags:\n\n\n* imagepipeline\n* URL\n* text-to-image\n* ultra-realistic\npinned: false\npipeline\\_tag: text-to-image\n\n\n\n\n---",
"### Feedback\n\n\nIf you have any feedback, please reach out to us at hello@URL",
... | [
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"TAGS\n#diffusers #imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us \n### API Reference#### Generate Image\n\n\n\n\n\n\n---\n\n\nlicense: creativeml-openrail-m\ntags:\n\n\n* imagepipeline\n* URL\n* text... |
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-ktp-v1
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-base)... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut-ktp-v1", "results": []}]} | quissuiven/donut-ktp-v1 | null | [
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|
# donut-ktp-v1
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
## Training procedure
### Training hyperparam... | [
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null | null |
# DavidAU/NyakuraV2-34B-Yi-Llama-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/NyakuraV2-34B-Yi-Llama`](https://huggingface.co/Sao10K/NyakuraV2-34B-Yi-Llama) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card]... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/NyakuraV2-34B-Yi-Llama-Q6_K-GGUF | null | [
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"llama-cpp",
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"en",
"license:cc-by-nc-4.0",
"region:us"
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"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-cc-by-nc-4.0 #region-us
|
# DavidAU/NyakuraV2-34B-Yi-Llama-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/NyakuraV2-34B-Yi-Llama' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Ser... | [
"# DavidAU/NyakuraV2-34B-Yi-Llama-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/NyakuraV2-34B-Yi-Llama' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the C... | [
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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. -->
# DialogLED-base-16384-icsi-finetuned-10epochs
This model is a fine-tuned version of [MingZhong/DialogLED-base-16384](https://hugg... | {"tags": ["generated_from_trainer"], "base_model": "MingZhong/DialogLED-base-16384", "model-index": [{"name": "DialogLED-base-16384-icsi-finetuned-10epochs", "results": []}]} | StDestiny/DialogLED-base-16384-icsi-finetuned-10epochs | null | [
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"region:us"
] | null | 2024-04-16T05:19:53+00:00 | [] | [] | TAGS
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|
# DialogLED-base-16384-icsi-finetuned-10epochs
This model is a fine-tuned version of MingZhong/DialogLED-base-16384 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pr... | [
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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": []} | swj0419/email_retrain_STEP0000004 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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token-classification | transformers |
# Financial Entity Identification through NER and DistilBERT
## 1. Loading Dataset
The dataset used in this project is obtained from the Hugging Face library, named `nlpaueb/finer-139`. It contains annotated data for named entity recognition tasks.
## 2. Dataset Size Reduction
Due to the large size of the dataset,... | {"license": "mit"} | AnirudhLanka2002/finguard_distilBERT_37500 | null | [
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"distilbert",
"token-classification",
"license:mit",
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"endpoints_compatible",
"region:us"
] | null | 2024-04-16T05:21:03+00:00 | [] | [] | TAGS
#transformers #safetensors #distilbert #token-classification #license-mit #autotrain_compatible #endpoints_compatible #region-us
|
# Financial Entity Identification through NER and DistilBERT
## 1. Loading Dataset
The dataset used in this project is obtained from the Hugging Face library, named 'nlpaueb/finer-139'. It contains annotated data for named entity recognition tasks.
## 2. Dataset Size Reduction
Due to the large size of the dataset,... | [
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text-classification | transformers |
# 텍스트 기반 발화자 인식 모델
텍스트, 특히 소설과 같이 인용 부호로 발화가 기록되어 있는 텍스트에서 대화 참여 인물을 인식하고, 타겟 인용문의 발화자를 추출하는 모델입니다.
발화자 인식은 다음의 순서로 이루어집니다.
1. 대화 참여자 인식: 전 텍스트에 걸쳐, NER을 통해 모든 대화 참여자를 인식합니다.
2. 인용문 별 인스턴스 생성: window 사이즈는 조절 가능하며, 인용문 기준 앞뒤 각각 10줄을 디폴트로 합니다. 즉 인스턴스는 21줄이 기본입니다.
3. 인용문 별 발화자 추론: 인스턴스 내에서 발화자 후보를 추리고, 발화자를 추론합니다.
`... | {"language": ["ko"], "license": "mit", "library_name": "transformers", "pipeline_tag": "text-classification"} | yuneun92/koCSN_SAPR | null | [
"transformers",
"text-classification",
"ko",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T05:21:22+00:00 | [] | [
"ko"
] | TAGS
#transformers #text-classification #ko #license-mit #endpoints_compatible #region-us
| 텍스트 기반 발화자 인식 모델
================
텍스트, 특히 소설과 같이 인용 부호로 발화가 기록되어 있는 텍스트에서 대화 참여 인물을 인식하고, 타겟 인용문의 발화자를 추출하는 모델입니다.
발화자 인식은 다음의 순서로 이루어집니다.
1. 대화 참여자 인식: 전 텍스트에 걸쳐, NER을 통해 모든 대화 참여자를 인식합니다.
2. 인용문 별 인스턴스 생성: window 사이즈는 조절 가능하며, 인용문 기준 앞뒤 각각 10줄을 디폴트로 합니다. 즉 인스턴스는 21줄이 기본입니다.
3. 인용문 별 발화자 추론: 인스턴스 내에서 발화자 후보를 추리고... | [
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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/KaeriJenti/kaori-70b-v1
**No more quants are incoming, as llama.cpp crashes when generating them.**
<!-- provided-files -->
static ... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "base_model": "KaeriJenti/kaori-70b-v1", "no_imatrix": "GGML_ASSERT: llama.cpp/ggml-quants.c:11239: grid_index >= 0", "quantized_by": "mradermacher"} | mradermacher/kaori-70b-v1-i1-GGUF | null | [
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#transformers #gguf #en #base_model-KaeriJenti/kaori-70b-v1 #license-llama2 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
No more quants are incoming, as URL crashes when generating them.
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.
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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. -->
# NHS-distilbert-binary-random
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-b... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "NHS-distilbert-binary-random", "results": []}]} | intermezzo672/NHS-distilbert-binary-random | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T05:23:54+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| NHS-distilbert-binary-random
============================
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5121
* Accuracy: 0.8019
* Precision: 0.7972
* Recall: 0.8065
* F1: 0.7988
Model description
--------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-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: 6",
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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. -->
# tmp_trainer
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intend... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "tmp_trainer", "results": []}]} | ConnorLin/tmp_trainer | null | [
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"safetensors",
"t5",
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"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T05:24:06+00:00 | [] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# tmp_trainer
This model was trained from scratch 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
The following hyperparamete... | [
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text-to-video | transformers |
# video_generation_model
video_generation_model is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [TheBloke/openchat_3.5-GPTQ](https://huggingface.co/TheBloke/openchat_3.5-GPTQ)
* [dalle-mini/dalle-mini](https://huggingfac... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "TheBloke/openchat_3.5-GPTQ", "dalle-mini/dalle-mini"], "base_model": ["TheBloke/openchat_3.5-GPTQ", "dalle-mini/dalle-mini"], "pipeline_tag": "text-to-video"} | nagayama0706/video_generation_model | null | [
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"mistral",
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"dalle-mini/dalle-mini",
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"base_model:TheBloke/openchat_3.5-GPTQ",
"base_model:dalle-mini/dalle-mini",
"license:apache-2.0",
"autotrain_compatible... | null | 2024-04-16T05:24:07+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #TheBloke/openchat_3.5-GPTQ #dalle-mini/dalle-mini #text-to-video #base_model-TheBloke/openchat_3.5-GPTQ #base_model-dalle-mini/dalle-mini #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #... |
# video_generation_model
video_generation_model is a merge of the following models using LazyMergekit:
* TheBloke/openchat_3.5-GPTQ
* dalle-mini/dalle-mini
## Configuration
## Usage
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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. -->
# Text-to-image finetuning - BlackSadadou/SD-Black-IMGgen-Model
This pipeline was finetuned from **CompVis/stable-diffusi... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers", "text-to-image", "diffusers", "diffusers-training"], "inference": true, "base_model": "CompVi... | BlackSadadou/SD-Black-IMGgen-Model | null | [
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"base_model:CompVis/stable-diffusion-v1-4",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-16T05:25:45+00:00 | [] | [] | TAGS
#diffusers #tensorboard #safetensors #stable-diffusion #stable-diffusion-diffusers #text-to-image #diffusers-training #base_model-CompVis/stable-diffusion-v1-4 #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# Text-to-image finetuning - BlackSadadou/SD-Black-IMGgen-Model
This pipeline was finetuned from CompVis/stable-diffusion-v1-4 on the BlackSadadou/STBlackIMGgen dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ["Un Chat dans le style Black's style"]:
!val_... | [
"# Text-to-image finetuning - BlackSadadou/SD-Black-IMGgen-Model\n\nThis pipeline was finetuned from CompVis/stable-diffusion-v1-4 on the BlackSadadou/STBlackIMGgen dataset. Below are some example images generated with the finetuned pipeline using the following prompts: [\"Un Chat dans le style Black's style\"]: \n... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | swj0419/bbc_retrain_STEP0000020 | null | [
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"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
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"region:us"
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"1910.09700"
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#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# openhermes-mistral-dpo-gptq
This model is a fine-tuned version of [TheBloke/OpenHermes-2-Mistral-7B-GPTQ](https://huggingface.co... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "TheBloke/OpenHermes-2-Mistral-7B-GPTQ", "model-index": [{"name": "openhermes-mistral-dpo-gptq", "results": []}]} | Gokul29/openhermes-mistral-dpo-gptq | null | [
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"license:apache-2.0",
"region:us"
] | null | 2024-04-16T05:26:59+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #dpo #generated_from_trainer #base_model-TheBloke/OpenHermes-2-Mistral-7B-GPTQ #license-apache-2.0 #region-us
| openhermes-mistral-dpo-gptq
===========================
This model is a fine-tuned version of TheBloke/OpenHermes-2-Mistral-7B-GPTQ on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5940
* Rewards/chosen: 0.0155
* Rewards/rejected: -0.3247
* Rewards/accuracies: 0.875
* Rewards/... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
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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. -->
# GUE_mouse_2-seqsight_8192_512_30M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https:... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_mouse_2-seqsight_8192_512_30M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_2-seqsight_8192_512_30M-L32_all | null | [
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"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-16T05:27:15+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_mouse\_2-seqsight\_8192\_512\_30M-L32\_all
===============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_mouse\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8080
* F1 Score: 0.8018
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 1536\n* eval\\_batch\\_size: 1536\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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text-generation | transformers |
# JSL-MedMNX-7B-SFT
[<img src="https://repository-images.githubusercontent.com/104670986/2e728700-ace4-11ea-9cfc-f3e060b25ddf">](http://www.johnsnowlabs.com)
JSL-MedMNX-7B-SFT is a 7 Billion parameter model developed by [John Snow Labs](https://www.johnsnowlabs.com/).
This model is SFT-finetuned on alpaca format 11... | {"language": ["en"], "license": "cc-by-nc-nd-4.0", "library_name": "transformers", "tags": ["reward model", "RLHF", "medical"]} | johnsnowlabs/JSL-MedMNX-7B-SFT | null | [
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"autotrain_compatible",
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"text-generation-inference",
"region:us"
] | null | 2024-04-16T05:27:20+00:00 | [] | [
"en"
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| JSL-MedMNX-7B-SFT
=================
<img src="URL
JSL-MedMNX-7B-SFT is a 7 Billion parameter model developed by John Snow Labs.
This model is SFT-finetuned on alpaca format 11k medical dataset over the base model JSL-MedMNX-7B. Checkout the perofrmance on Open Medical LLM Leaderboard.
This model is available un... | [] | [
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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. -->
# meditron-7b-wo-kqa_golden-sft
This model is a fine-tuned version of [epfl-llm/meditron-7b](https://huggingface.co/epfl-llm/medit... | {"license": "llama2", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/deita-10k-v0-sft"], "base_model": "epfl-llm/meditron-7b", "model-index": [{"name": "meditron-7b-wo-kqa_golden-sft", "results": []}]} | Minbyul/meditron-7b-wo-kqa_golden-sft | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"alignment-handbook",
"trl",
"sft",
"generated_from_trainer",
"dataset:HuggingFaceH4/deita-10k-v0-sft",
"base_model:epfl-llm/meditron-7b",
"license:llama2",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference... | null | 2024-04-16T05:27:40+00:00 | [] | [] | TAGS
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| meditron-7b-wo-kqa\_golden-sft
==============================
This model is a fine-tuned version of epfl-llm/meditron-7b on the HuggingFaceH4/deita-10k-v0-sft dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8405
Model description
-----------------
More information needed
Intended u... | [
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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": []} | swj0419/bbc_STEP0000080 | null | [
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"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T05:28:04+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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