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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_16384_512_56M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_56M", "model-index": [{"name": "GUE_prom_prom_300_all-seqsight_16384_512_56M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_all-seqsight_16384_512_56M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_16384_512_56M",
"region:us"
] | null | 2024-04-16T13:29:44+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_56M #region-us
| GUE\_prom\_prom\_300\_all-seqsight\_16384\_512\_56M-L32\_all
============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_56M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_all 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: 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. -->
# ruBert-base-sberquad-0.01-len_4-filtered
This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggingface.co/a... | {"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_4-filtered", "results": []}]} | Shalazary/ruBert-base-sberquad-0.01-len_4-filtered | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:ai-forever/ruBert-base",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T13:31:01+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-ai-forever/ruBert-base #license-apache-2.0 #region-us
|
# ruBert-base-sberquad-0.01-len_4-filtered
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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"## Training and evaluation data\n\nMore information needed",
"... | [
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null | null |
This is just an `imatrix` file I created using `groups_merged.txt`:
```
./imatrix --chunks 105 -m WizardLM-2:8x22b-f16.gguf -f groups_merged.txt -o WizardLM-2:8x22b-f16.imatrix
```
NOTE: 105 chunks is the maximum for `groups_merged.txt` using (recomeneded) default `n_ctx=512`.
| {"license": "apache-2.0"} | jukofyork/WizardLM-2-8x22B-imatrix | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T13:32:43+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
This is just an 'imatrix' file I created using 'groups_merged.txt':
NOTE: 105 chunks is the maximum for 'groups_merged.txt' using (recomeneded) default 'n_ctx=512'.
| [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
] | [
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text-to-image | null |
## shoejob
<img src="https://via.placeholder.com/468x300?text=App+Screenshot+Here" alt="Generated on Image Pipeline" style="border-radius: 10px;">
**This lora model is uploaded on [imagepipeline.io](https://imagepipeline.io/)**
Model details - A footjob, but with shoes on. Even more niche!
Mostly works with shin... | {"license": "creativeml-openrail-m", "tags": ["imagepipeline", "imagepipeline.io", "text-to-image", "ultra-realistic"], "pinned": false, "pipeline_tag": "text-to-image"} | imagepipeline/shoejob | null | [
"imagepipeline",
"imagepipeline.io",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"region:us"
] | null | 2024-04-16T13:32:50+00:00 | [] | [] | TAGS
#imagepipeline #imagepipeline.io #text-to-image #ultra-realistic #license-creativeml-openrail-m #region-us
| shoejob
-------
<img src="URL alt="Generated on Image Pipeline" style="border-radius: 10px;">
This lora model is uploaded on URL
Model details - A footjob, but with shoes on. Even more niche!
Mostly works with shiny high heels, platforms, and boots. Uses regular footjob images from my footjob lora to help reinf... | [
"### 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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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/uncensorie/stairolzlv-70b
**No more quants are incoming, as llama.cpp crashes when generating them.**
<!-- provided-files -->
stati... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "base_model": "uncensorie/stairolzlv-70b", "no_imatrix": "GGML_ASSERT: llama.cpp/ggml-quants.c:11239: grid_index >= 0", "quantized_by": "mradermacher"} | mradermacher/stairolzlv-70b-i1-GGUF | null | [
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"en",
"base_model:uncensorie/stairolzlv-70b",
"license:llama2",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T13:33:52+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-uncensorie/stairolzlv-70b #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.
Provided... | [] | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [MaziyarPanahi/Calme-7B-Instruct-v0.9](https... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["MaziyarPanahi/Calme-7B-Instruct-v0.9", "amazingvince/Not-WizardLM-2-7B"]} | mergekit-community/mergekit-slerp-exkkzvd | null | [
"transformers",
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"mistral",
"text-generation",
"mergekit",
"merge",
"base_model:MaziyarPanahi/Calme-7B-Instruct-v0.9",
"base_model:amazingvince/Not-WizardLM-2-7B",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T13:34:52+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #base_model-MaziyarPanahi/Calme-7B-Instruct-v0.9 #base_model-amazingvince/Not-WizardLM-2-7B #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* MaziyarPanahi/Calme-7B-Instruct-v0.9
* amazingvince/Not-WizardLM-2-7B
### Config... | [
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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": "Qwen/Qwen-VL-Chat"} | trinhxuankhai/origin_o_pedes_environment | null | [
"peft",
"arxiv:1910.09700",
"base_model:Qwen/Qwen-VL-Chat",
"region:us"
] | null | 2024-04-16T13:35:08+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #arxiv-1910.09700 #base_model-Qwen/Qwen-VL-Chat #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]:
#... | [
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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. -->
# saved_model
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
## Model descripti... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "saved_model", "results": []}]} | Prashant-karwasra/short_story_generation | null | [
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"tensorboard",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"base_model:gpt2",
"license:mit",
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"endpoints_compatible",
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"region:us"
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#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #base_model-gpt2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# saved_model
This model is a fine-tuned version of gpt2 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 hyperp... | [
"# saved_model\n\nThis model is a fine-tuned version of gpt2 on an unknown dataset.",
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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": []} | DisgustingOzil/FineTuned_TROCR | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T13:36:08+00:00 | [
"1910.09700"
] | [] | TAGS
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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null | 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": "Qwen/Qwen-VL-Chat"} | trinhxuankhai/origin_o_pedes_location | null | [
"peft",
"arxiv:1910.09700",
"base_model:Qwen/Qwen-VL-Chat",
"region:us"
] | null | 2024-04-16T13:38:09+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #arxiv-1910.09700 #base_model-Qwen/Qwen-VL-Chat #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]:
#... | [
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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. -->
# slava
This model is a fine-tuned version of [llava-hf/llava-1.5-7b-hf](https://huggingface.co/llava-hf/llava-1.5-7b-hf) on an un... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "llava-hf/llava-1.5-7b-hf", "model-index": [{"name": "slava", "results": []}]} | PranavBP525/slava | null | [
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"8-bit",
"region:us"
] | null | 2024-04-16T13:38:25+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #llava #trl #sft #generated_from_trainer #base_model-llava-hf/llava-1.5-7b-hf #8-bit #region-us
|
# slava
This model is a fine-tuned version of llava-hf/llava-1.5-7b-hf on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 30.7275
- eval_runtime: 660.2038
- eval_samples_per_second: 1.212
- eval_steps_per_second: 1.212
- epoch: 0.1
- step: 1000
## Model description
More i... | [
"# slava\n\nThis model is a fine-tuned version of llava-hf/llava-1.5-7b-hf on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- eval_loss: 30.7275\n- eval_runtime: 660.2038\n- eval_samples_per_second: 1.212\n- eval_steps_per_second: 1.212\n- epoch: 0.1\n- step: 1000",
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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_EMP_H3K14ac-seqsight_16384_512_56M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_56M](... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_56M", "model-index": [{"name": "GUE_EMP_H3K14ac-seqsight_16384_512_56M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K14ac-seqsight_16384_512_56M-L32_all | null | [
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"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_56M #region-us
| GUE\_EMP\_H3K14ac-seqsight\_16384\_512\_56M-L32\_all
====================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_56M on the mahdibaghbanzadeh/GUE\_EMP\_H3K14ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6590
* F1... | [
"### 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 | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Citaman/command-r-33-layer](https://hugging... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Citaman/command-r-33-layer"]} | Citaman/command-r-32-layer | null | [
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"base_model:Citaman/command-r-33-layer",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T13:42:10+00:00 | [] | [] | TAGS
#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-33-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Citaman/command-r-33-layer
### Configuration
The following YAML configuration w... | [
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"### Configuration\n\nThe... | [
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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": "Qwen/Qwen-VL-Chat"} | trinhxuankhai/origin_o_pedes_attention | null | [
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"1910.09700"
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#peft #arxiv-1910.09700 #base_model-Qwen/Qwen-VL-Chat #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]:
#... | [
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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. -->
# results
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on a... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "results", "results": []}]} | kta-dev/results | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
| results
=======
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3856
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information ... | [
"### 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* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e... | [
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null | null |
# Qwen1.5 Chat 4B for RK3588
This is a conversion from https://huggingface.co/Qwen/Qwen1.5-4B-Chat to the RKLLM format for Rockchip devices.
This runs on the NPU from the RK3588
# Main repo
See this for my full collection of converted LLMs for the RK3588's NPU:
https://huggingface.co/Pelochus/ezrkllm-collection
# ... | {"tags": ["qwen", "qwen1.5", "rkllm", "rockchip", "rk3588"]} | Pelochus/qwen1.5-chat-4B-rk3588 | null | [
"qwen",
"qwen1.5",
"rkllm",
"rockchip",
"rk3588",
"region:us"
] | null | 2024-04-16T13:43:09+00:00 | [] | [] | TAGS
#qwen #qwen1.5 #rkllm #rockchip #rk3588 #region-us
|
# Qwen1.5 Chat 4B for RK3588
This is a conversion from URL to the RKLLM format for Rockchip devices.
This runs on the NPU from the RK3588
# Main repo
See this for my full collection of converted LLMs for the RK3588's NPU:
URL
# License
Same as the original LLM URL | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/mpasila/SeaMax-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "mpasila/SeaMax-7B", "quantized_by": "mradermacher"} | mradermacher/SeaMax-7B-GGUF | null | [
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"en",
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"en"
] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-mpasila/SeaMax-7B #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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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | heyllm234/sc44 | null | [
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"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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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": "Qwen/Qwen-VL-Chat"} | trinhxuankhai/origin_o_pedes_rewrite | null | [
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#peft #arxiv-1910.09700 #base_model-Qwen/Qwen-VL-Chat #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
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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": "Qwen/Qwen-VL-Chat"} | trinhxuankhai/origin_o_vehicle_rewrite | null | [
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"arxiv:1910.09700",
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"1910.09700"
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#peft #arxiv-1910.09700 #base_model-Qwen/Qwen-VL-Chat #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
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- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
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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": "Qwen/Qwen-VL-Chat"} | trinhxuankhai/origin_v_pedes_appearance | null | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# deberta-v3-large-math-ver1
This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/d... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/deberta-v3-large", "model-index": [{"name": "deberta-v3-large-math-ver1", "results": []}]} | obamaTeo/deberta-v3-large-math-ver1 | null | [
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|
# deberta-v3-large-math-ver1
This model is a fine-tuned version of microsoft/deberta-v3-large on an unknown dataset.
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- eval_precision: 0.9722
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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]
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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. -->
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Citaman/command-r-32-layer](https://hugging... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Citaman/command-r-32-layer"]} | Citaman/command-r-31-layer | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Citaman/command-r-32-layer
### Configuration
The following YAML configuration w... | [
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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": "Qwen/Qwen-VL-Chat"} | trinhxuankhai/origin_v_pedes_attention | null | [
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feature-extraction | transformers |
# 🧬 ChAda-ViT: Channel Adaptive Vision Transformer
Official PyTorch implementation and pretrained models of ChAda-ViT. For details, see **ChAda-ViT: Channel Adaptive Attention for Joint Representation Learning of Heterogeneous Microscopy Images**
[[`arXiv`](https://arxiv.org/abs/2311.15264)]
## 🚀 Introduction
_**... | {"datasets": ["nicoboou/IDRCell100k"], "arxiv": 2311.15264} | nicoboou/chadavit16-moyen | null | [
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# ChAda-ViT: Channel Adaptive Vision Transformer
Official PyTorch implementation and pretrained models of ChAda-ViT. For details, see ChAda-ViT: Channel Adaptive Attention for Joint Representation Learning of Heterogeneous Microscopy Images
['arXiv']
## Introduction
_"How could we process images of different moda... | [
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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": "Qwen/Qwen-VL-Chat"} | trinhxuankhai/origin_v_pedes_rewrite | null | [
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text-generation | transformers | <!-- header start -->
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![Twitter](URL
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text2text-generation | transformers | This model has been trained by the original authors of the paper [(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs](https://www.semanticscholar.org/paper/COMET-ATOMIC-2020%3A-On-Symbolic-and-Neural-Knowledge-Hwang-Bhagavatula/f8a22859230e0ccafefc020dccc66b5a646fe0ac) </br> and has been released... | {"license": "afl-3.0"} | smetan/comet-bart-aaai | null | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
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<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
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null | null |
For demo of "EMA: Efficient Meshy Neural Fields for Animatable Human Avatars" (https://github.com/xk-huang/ema).
| {"license": "mit"} | xk-huang/ema-base_config-1.zju_mocap.logl2-zju_mocap-313-230306_084623-ckpts | null | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "Qwen/Qwen-VL-Chat"} | trinhxuankhai/origin_v_vehicle_appearance | null | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/bigscience-bloomz-560m-HQQ-2bit-smashed | null | [
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![Twitter](URL
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# donut-ktp-v2
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-v2", "results": []}]} | quissuiven/donut-ktp-v2 | null | [
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|
# donut-ktp-v2
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 | 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_EMP_H3K4me2-seqsight_16384_512_56M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_56M](... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_56M", "model-index": [{"name": "GUE_EMP_H3K4me2-seqsight_16384_512_56M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me2-seqsight_16384_512_56M-L32_all | null | [
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| GUE\_EMP\_H3K4me2-seqsight\_16384\_512\_56M-L32\_all
====================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_56M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me2 dataset.
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* Loss: 0.6687
* F1... | [
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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]
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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. -->
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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. -->
# my_awesome_opus_books_model
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown data... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "t5-small", "model-index": [{"name": "my_awesome_opus_books_model", "results": []}]} | Pradeep13/my_awesome_opus_books_model | null | [
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| my\_awesome\_opus\_books\_model
===============================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6027
* Bleu: 5.7589
* Gen Len: 17.566
Model description
-----------------
More information needed
Intended us... | [
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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": "Qwen/Qwen-VL-Chat"} | trinhxuankhai/origin_v_vehicle_action | null | [
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|
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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_EMP_H3K9ac-seqsight_16384_512_56M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_56M](h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_56M", "model-index": [{"name": "GUE_EMP_H3K9ac-seqsight_16384_512_56M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K9ac-seqsight_16384_512_56M-L32_all | null | [
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| GUE\_EMP\_H3K9ac-seqsight\_16384\_512\_56M-L32\_all
===================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_56M on the mahdibaghbanzadeh/GUE\_EMP\_H3K9ac dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3195
* F1 Sc... | [
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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": "ai-forever/FRED-T5-1.7B"} | SouthMemphis/fred-4 | null | [
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# Model Card for Model ID
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### Model Description
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### Model Sources [optional]
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null | null |
# KenLM (arpa) models for Dutch based on Wikipedia
This repository contains KenLM models (n=5) for Dutch, based on the [Dutch portion of Wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia/viewer/20231101.nl) - sentence-segmented (one sentence per line). Models are provided on tokens, part-of-speech, depe... | {"language": ["nl"], "license": "apache-2.0", "tags": ["kenlm"]} | BramVanroy/kenlm_wikipedia_nl | null | [
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|
# KenLM (arpa) models for Dutch based on Wikipedia
This repository contains KenLM models (n=5) for Dutch, based on the Dutch portion of Wikipedia - sentence-segmented (one sentence per line). Models are provided on tokens, part-of-speech, dependency labels, and lemmas, as processed with spaCy 'nl_core_news_sm':
- w... | [
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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_alltags
This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layout... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["layoutlmv4"], "base_model": "microsoft/layoutlm-base-uncased", "model-index": [{"name": "layoutlm_alltags", "results": []}]} | Szczotar93/layoutlm_alltags | null | [
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#transformers #pytorch #layoutlm #token-classification #generated_from_trainer #dataset-layoutlmv4 #base_model-microsoft/layoutlm-base-uncased #license-mit #autotrain_compatible #endpoints_compatible #region-us
| layoutlm\_alltags
=================
This model is a fine-tuned version of microsoft/layoutlm-base-uncased on the layoutlmv4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0891
* Customer Address: {'precision': 0.7764705882352941, 'recall': 0.8048780487804879, 'f1': 0.7904191616766466, '... | [
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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_EMP_H3K4me3-seqsight_16384_512_56M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_56M](... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_56M", "model-index": [{"name": "GUE_EMP_H3K4me3-seqsight_16384_512_56M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me3-seqsight_16384_512_56M-L32_all | null | [
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"region:us"
] | null | 2024-04-16T13:59:54+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_56M #region-us
| GUE\_EMP\_H3K4me3-seqsight\_16384\_512\_56M-L32\_all
====================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_56M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6820
* F1... | [
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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": "Qwen/Qwen-VL-Chat"} | trinhxuankhai/origin_v_vehicle_rewrite | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [amazingvince/Not-WizardLM-2-7B](https://huggingface.co/amazingvince/Not-Wi... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["amazingvince/Not-WizardLM-2-7B", "cognitivecomputations/dolphin-2.8-mistral-7b-v02", "MaziyarPanahi/Calme-7B-Instruct-v0.9"]} | mergekit-community/mergekit-ties-vjlpsxw | null | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using amazingvince/Not-WizardLM-2-7B as a base.
### Models Merged
The following models were included in the merge:
* cognitivecomputations/dolphin-2.8-m... | [
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/bigscience-bloom-1b1-HQQ-2bit-smashed | null | [
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL... | [
"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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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. -->
# xlm-roberta-large-finetuned-ner
This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-lar... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "xlm-roberta-large", "model-index": [{"name": "xlm-roberta-large-finetuned-ner", "results": []}]} | mldscz/xlm-roberta-large-finetuned-ner | null | [
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"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T14:03:41+00:00 | [] | [] | TAGS
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| xlm-roberta-large-finetuned-ner
===============================
This model is a fine-tuned version of xlm-roberta-large on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0382
* Precision: 0.9626
* Recall: 0.9702
* F1: 0.9663
* Accuracy: 0.9920
Model description
------------... | [
"### 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",
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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. -->
# TOUGPT2
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the following... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "TOUGPT2", "results": []}]} | Kaspar/TOUGPT2 | null | [
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"license:mit",
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"text-generation-inference",
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] | null | 2024-04-16T14:04:13+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #base_model-gpt2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| TOUGPT2
=======
This model is a fine-tuned version of gpt2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.2067
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and e... | [
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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": []} | cackerman/rewrites_mistral7bit_4bit_ft_full_big | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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null | null |
# Llama 2 Chat 70B for RK3588
This is a conversion from https://huggingface.co/meta-llama/Llama-2-70b-chat-hf to the RKLLM format for Rockchip devices.
This runs on the NPU from the RK3588.
# Convert to one file
Run:
```bash
cat llama2-chat-70b-hf-0* > llama2-chat-70b-hf.rkllm
```
# But wait... will this run on my... | {"tags": ["llama2", "llama2-70b", "rkllm", "rockchip", "rk3588"]} | Pelochus/llama2-chat-70b-hf-rk3588 | null | [
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#llama2 #llama2-70b #rkllm #rockchip #rk3588 #region-us
|
# Llama 2 Chat 70B for RK3588
This is a conversion from URL to the RKLLM format for Rockchip devices.
This runs on the NPU from the RK3588.
# Convert to one file
Run:
# But wait... will this run on my RK3588?
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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_ver14
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_ver14", "results": []}]} | comet24082002/finetuned_bge_ver14 | null | [
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|
# finetuned_bge_ver14
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 |
This model has been pushed to the Hub using ****:
- Repo: [More Information Needed]
- Docs: [More Information Needed] | {"tags": ["pytorch_model_hub_mixin", "model_hub_mixin"]} | Kiss-Kiss-K/rl_dgn | null | [
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|
This model has been pushed to the Hub using :
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null | null | # MolClassifier
MolClassifier is a model for classifying chemical images into: "Clean" (corresponding to Molecular Structure), "Markush" (corresponding to Markush structure) and "Trash" (corresponding to Background).
MolClassifier is presented in [PatCID: an open-access dataset of chemical structures in patent documen... | {"license": "mit"} | ds4sd/MolClassifier | null | [
"license:mit",
"region:us"
] | null | 2024-04-16T14:07:24+00:00 | [] | [] | TAGS
#license-mit #region-us
| # MolClassifier
MolClassifier is a model for classifying chemical images into: "Clean" (corresponding to Molecular Structure), "Markush" (corresponding to Markush structure) and "Trash" (corresponding to Background).
MolClassifier is presented in [PatCID: an open-access dataset of chemical structures in patent documen... | [
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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. -->
# coinplusfire_llm_2
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBlok... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.2-GPTQ", "model-index": [{"name": "coinplusfire_llm_2", "results": []}]} | coinplusfire/coinplusfire_llm_2 | null | [
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"base_model:TheBloke/Mistral-7B-Instruct-v0.2-GPTQ",
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"region:us"
] | null | 2024-04-16T14:08:46+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-TheBloke/Mistral-7B-Instruct-v0.2-GPTQ #license-apache-2.0 #region-us
| coinplusfire\_llm\_2
====================
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.2-GPTQ on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1450
Model description
-----------------
More information needed
Intended uses & limitations
--------... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Citaman/command-r-31-layer](https://hugging... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Citaman/command-r-31-layer"]} | Citaman/command-r-30-layer | null | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Citaman/command-r-31-layer
### Configuration
The following YAML configuration w... | [
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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_EMP_H4-seqsight_16384_512_56M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_56M](https... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_56M", "model-index": [{"name": "GUE_EMP_H4-seqsight_16384_512_56M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4-seqsight_16384_512_56M-L32_all | null | [
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| GUE\_EMP\_H4-seqsight\_16384\_512\_56M-L32\_all
===============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_56M on the mahdibaghbanzadeh/GUE\_EMP\_H4 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4534
* F1 Score: 0.7509
... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** khursani8
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl", "sft"], "base_model": "unsloth/gemma-2b-bnb-4bit"} | khursani8/gemmy | null | [
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|
# Uploaded model
- Developed by: khursani8
- License: apache-2.0
- Finetuned from model : unsloth/gemma-2b-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
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<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/bigscience-bloom-3b-HQQ-2bit-smashed | null | [
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<div style="width: auto; margin-left: auto; margin-right: auto">
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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![Twitter](URL
![GitHub](URL
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"# Simply make AI models cheaper, smaller, faster, and greener!\n\n- Give a thumbs up if you like this model!\n- Contact us and tell us which model to compress next here.\n- Request access to easily compress your *own* AI models here.\n- Read the documentations to know more here\n- Join Pruna AI community on Discor... | [
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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. -->
# model_hh_shp2_dpo1
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "model_hh_shp2_dpo1", "results": []}]} | guoyu-zhang/model_hh_shp2_dpo1 | null | [
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"generated_from_trainer",
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| model\_hh\_shp2\_dpo1
=====================
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5468
* Rewards/chosen: -6.9137
* Rewards/rejected: -6.8682
* Rewards/accuracies: 0.5
* Rewards/margins: -0.0455
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text-generation | transformers | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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<img src="https://i.URL alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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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. -->
# mt5-small-finetuned-translation
This model is a fine-tuned version of [Akki-off/mt5-small-finetuned-wikisql2_v1](https://hugging... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "mt5-small-finetuned-translation", "results": []}]} | akshay-huggingface/mt5-small-finetuned-translation | null | [
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#transformers #pytorch #tensorboard #mt5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| mt5-small-finetuned-translation
===============================
This model is a fine-tuned version of Akki-off/mt5-small-finetuned-wikisql2\_v1 on an unknown dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
T... | [
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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": []} | yashas06/Demo | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-1_5-2024-04-16-16-16-vuQwy
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-2024-04-16-16-16-vuQwy", "results": []}]} | frenkd/phi-1_5-2024-04-16-16-16-vuQwy | null | [
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|
# phi-1_5-2024-04-16-16-16-vuQwy
This model is a fine-tuned version of microsoft/phi-1_5 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hy... | [
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text-generation | transformers |
# PULI-LlumiX-32K-instruct
PULI-LlumiX-32K-instruct is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [sambanovasystems/SambaLingo-Hungarian-Base](https://huggingface.co/sambanovasystems/SambaLingo-Hungarian-Base)
* [NYTK/... | {"tags": ["merge", "mergekit", "lazymergekit", "sambanovasystems/SambaLingo-Hungarian-Base", "NYTK/PULI-LlumiX-32K"], "base_model": ["sambanovasystems/SambaLingo-Hungarian-Base", "NYTK/PULI-LlumiX-32K"]} | yodahu/PULI-LlumiX-32K-instruct | null | [
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"autotrain_compatible",
"endpoints... | null | 2024-04-16T14:16:57+00:00 | [] | [] | TAGS
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# PULI-LlumiX-32K-instruct
PULI-LlumiX-32K-instruct is a merge of the following models using LazyMergekit:
* sambanovasystems/SambaLingo-Hungarian-Base
* NYTK/PULI-LlumiX-32K
## Configuration
## Usage
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentati... | {"library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"]} | QuantumInstability/Pyramids | null | [
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#ml-agents #tensorboard #onnx #Pyramids #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Pyramids #region-us
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# ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where ... | [
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text-generation | transformers | **GGUF:** https://huggingface.co/victunes/TherapyBeagle-11B-v2-GGUF
# TherapyBeagle-11B-v2-exl2
Original model: [TherapyBeagle-11B-v2](https://huggingface.co/victunes/TherapyBeagle-11B-v2)
Model creator: [victunes](https://huggingface.co/victunes)
## Quants
[4bpw h6](https://huggingface.co/cgus/TherapyBeagle-11B-v2... | {"license": "cc-by-nc-4.0", "datasets": ["victunes/nart-100k-synthetic-buddy-mixed-names"], "base_model": "victunes/TherapyBeagle-11B-v2", "inference": false} | cgus/TherapyBeagle-11B-v2-exl2 | null | [
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| GGUF: URL
# TherapyBeagle-11B-v2-exl2
Original model: TherapyBeagle-11B-v2
Model creator: victunes
## Quants
4bpw h6
4.25bpw h6
4.65bpw h6
5bpw h6
6bpw h6
8bpw h8
## Quantization notes
Made with exllamav2 0.0.18 with the default dataset.
Original BF16 .bin files were converted to FP16 safetensors.
... | [
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null | transformers |
This model has been pushed to the Hub using ****:
- Repo: [More Information Needed]
- Docs: [More Information Needed] | {"tags": ["pytorch_model_hub_mixin", "model_hub_mixin"]} | Kiss-Kiss-K/my-awesome-model | null | [
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This model has been pushed to the Hub using :
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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-finetuned-lime
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mist... | {"tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral-7b-finetuned-lime", "results": []}]} | deadcode99/mistral-7b-finetuned-lime | null | [
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| mistral-7b-finetuned-lime
=========================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6517
Model description
-----------------
More information needed
Intended uses & limitations... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Citaman/command-r-30-layer](https://hugging... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Citaman/command-r-30-layer"]} | Citaman/command-r-29-layer | null | [
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#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-30-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Citaman/command-r-30-layer
### Configuration
The following YAML configuration w... | [
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text-generation | transformers |
# PatLlama-2-7B-Ties
PatLlama-2-7B-Ties is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [arcee-ai/Patent-Instruct-7b](https://huggingface.co/arcee-ai/Patent-Instruct-7b)
* [NousResearch/Llama-2-7b-hf](https://huggingface... | {"tags": ["merge", "mergekit", "lazymergekit", "arcee-ai/Patent-Instruct-7b", "NousResearch/Llama-2-7b-hf"], "base_model": ["arcee-ai/Patent-Instruct-7b", "NousResearch/Llama-2-7b-hf"]} | JoPmt/PatLlama-2-7B-Ties | null | [
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"t... | null | 2024-04-16T14:20:08+00:00 | [] | [] | TAGS
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|
# PatLlama-2-7B-Ties
PatLlama-2-7B-Ties is a merge of the following models using LazyMergekit:
* arcee-ai/Patent-Instruct-7b
* NousResearch/Llama-2-7b-hf
## Configuration
## Usage
| [
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null | null |
## Antler-RP-ja-westlake-chatvector_GGUF
[Antler-RP-ja-westlake-chatvector](https://huggingface.co/soramikaduki/Antler-RP-ja-westlake-chatvector)の量子化済みGGUF版です。 | {"license": "apache-2.0"} | soramikaduki/Antler-RP-ja-westlake-chatvector_GGUF | null | [
"gguf",
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#gguf #license-apache-2.0 #region-us
|
## Antler-RP-ja-westlake-chatvector_GGUF
Antler-RP-ja-westlake-chatvectorの量子化済みGGUF版です。 | [
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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": []} | hams2/fullserv | null | [
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|
# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | heyllm234/sc31 | null | [
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text-generation | transformers |
# NSK-7B-128k-slerp
NSK-7B-128k-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [Nitral-AI/Nyan-Stunna-7B](https://huggingface.co/Nitral-AI/Nyan-Stunna-7B)
* [Nitral-AI/Kunocchini-7b-128k-test](https://huggingface.co/Nitral-AI/Kunocchini-7b-128k-test)
## 🧩 Configurati... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "Nitral-AI/Nyan-Stunna-7B", "Nitral-AI/Kunocchini-7b-128k-test", "128k"]} | AlekseiPravdin/NSK-128k-7B-slerp | null | [
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|
# NSK-7B-128k-slerp
NSK-7B-128k-slerp is a merge of the following models using mergekit:
* Nitral-AI/Nyan-Stunna-7B
* Nitral-AI/Kunocchini-7b-128k-test
## Configuration
| [
"# NSK-7B-128k-slerp\n\nNSK-7B-128k-slerp is a merge of the following models using mergekit:\n* Nitral-AI/Nyan-Stunna-7B\n* Nitral-AI/Kunocchini-7b-128k-test",
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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. -->
# gemma7b
This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the generator dataset... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "google/gemma-7b", "model-index": [{"name": "gemma2b", "results": []}]} | iTia/gemma7b_sum | null | [
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|
# gemma7b
This model is a fine-tuned version of google/gemma-7b on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The follow... | [
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text-classification | setfit |
# SetFit Aspect Model with cointegrated/rubert-tiny2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Aspect Based Sentiment Analysis (ABSA). This SetFit model uses [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) as the Sentence Transformer embedding m... | {"library_name": "setfit", "tags": ["setfit", "absa", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "cointegrated/rubert-tiny2", "widget": [{"text": "\u043f\u043b\u044e\u0441\u043e\u0432 -:\u0415\u0449\u0435 \u0438\u0437 \u043f\u043b\u044e\u0441... | isolation-forest/setfit-absa-aspect | null | [
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| SetFit Aspect Model with cointegrated/rubert-tiny2
==================================================
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text-classification | setfit |
# SetFit Polarity Model with cointegrated/rubert-tiny2
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Aspect Based Sentiment Analysis (ABSA). This SetFit model uses [cointegrated/rubert-tiny2](https://huggingface.co/cointegrated/rubert-tiny2) as the Sentence Transformer embedding... | {"library_name": "setfit", "tags": ["setfit", "absa", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "base_model": "cointegrated/rubert-tiny2", "widget": [{"text": "\u0430 \u043b \u0430 \u043f\u0430\u043b\u0442\u0443\u0441\u0430 \u0437\u0430\u043f\u0435\u0447\... | isolation-forest/setfit-absa-polarity | null | [
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| SetFit Polarity Model with cointegrated/rubert-tiny2
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | kai-oh/mistral-7b-ift-best-hf | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
## Model Details
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Citaman/command-r-29-layer](https://hugging... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Citaman/command-r-29-layer"]} | Citaman/command-r-28-layer | null | [
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#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-29-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Citaman/command-r-29-layer
### Configuration
The following YAML configuration w... | [
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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. -->
# results2.3epoci
This model is a fine-tuned version of [RoBerta-base](https://huggingface.co/RoBerta-base) on an unknown dataset.... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "RoBerta-base", "model-index": [{"name": "results2.3epoci", "results": []}]} | dianamihalache27/results2.3epoci | null | [
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# results2.3epoci
This model is a fine-tuned version of RoBerta-base on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6171
- Accuracy: 0.7133
- F1: 0.0
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and ev... | [
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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_EMP_H3-seqsight_16384_512_56M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_56M](https... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_56M", "model-index": [{"name": "GUE_EMP_H3-seqsight_16384_512_56M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3-seqsight_16384_512_56M-L32_all | null | [
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| GUE\_EMP\_H3-seqsight\_16384\_512\_56M-L32\_all
===============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_56M on the mahdibaghbanzadeh/GUE\_EMP\_H3 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.7365
* F1 Score: 0.7275
... | [
"### 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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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-finetuned-squadcovid
This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/... | {"license": "cc-by-4.0", "tags": ["generated_from_trainer"], "base_model": "deepset/roberta-base-squad2", "model-index": [{"name": "roberta-finetuned-squadcovid", "results": []}]} | Rahul13/roberta-finetuned-squadcovid | null | [
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|
# roberta-finetuned-squadcovid
This model is a fine-tuned version of deepset/roberta-base-squad2 on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.9162
- eval_runtime: 146.4405
- eval_samples_per_second: 73.682
- eval_steps_per_second: 2.308
- epoch: 1.27
- step: 6000
#... | [
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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": "mistralai/Mistral-7B-Instruct-v0.2"} | Nour0707/mistral_tr2_text_to_sql | null | [
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text-generation | transformers | 
# Arithmo-Wizard-2-7B
Arithmo-Wizard-2-7B is a merge of the following models using [Mergekit](https://github.com/arcee-ai/mergekit):
* [lucyknada/microsoft_WizardLM-2-7B](https://huggingface.co/lucyknada/microsoft_WizardLM-2-7B)
* [upaya07/A... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lucyknada/microsoft_WizardLM-2-7B", "upaya07/Arithmo2-Mistral-7B"], "base_model": ["lucyknada/microsoft_WizardLM-2-7B"]} | saucam/Arithmo-Wizard-2-7B | null | [
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| ![](URL
# Arithmo-Wizard-2-7B
Arithmo-Wizard-2-7B is a merge of the following models using Mergekit:
* lucyknada/microsoft_WizardLM-2-7B
* upaya07/Arithmo2-Mistral-7B
## Configuration
## Usage
Since the base model uses vicuna format, it works pretty well as well
## Sample Runs
## Evaluation Results
URL | [
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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. -->
# wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod14
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_13_0"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-large-xlsr-53", "model-index": [{"name": "wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod14", "results": [{"task": {"type": "automatic-speech-recognition", "name"... | EzraWilliam/wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod14 | null | [
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| wav2vec2-xlsr-53-CV-demo-google-colab-Ezra\_William\_Prod14
===========================================================
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common\_voice\_13\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3505
* Wer: 0.3279
M... | [
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null | transformers |
# PatchTST model pre-trained on ETTh1 dataset
<!-- Provide a quick summary of what the model is/does. -->
[`PatchTST`](https://huggingface.co/docs/transformers/model_doc/patchtst) is a transformer-based model for time series modeling tasks, including forecasting, regression, and classification. This repository conta... | {"license": "cdla-permissive-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "patchtst_etth1_forecast", "results": []}]} | chungimungi/PatchTST-2-input-channels | null | [
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| PatchTST model pre-trained on ETTh1 dataset
===========================================
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fill-mask | transformers | We introduce BERTurk-Legal which is a transformer-based language model to retrieve prior legal cases. BERTurk-Legal is pre-trained on a dataset from the Turkish legal domain. This dataset does not contain any labels related to the prior court case retrieval task. Masked language modeling is used to train BERTurk-Legal ... | {"language": ["tr"], "license": "mit", "tags": ["legal"], "metrics": ["f1", "precision", "recall"]} | KocLab-Bilkent/BERTurk-Legal | null | [
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| We introduce BERTurk-Legal which is a transformer-based language model to retrieve prior legal cases. BERTurk-Legal is pre-trained on a dataset from the Turkish legal domain. This dataset does not contain any labels related to the prior court case retrieval task. Masked language modeling is used to train BERTurk-Legal ... | [] | [
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] |
question-answering | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Dipan19/my_awesome_qa_model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-unc... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "Dipan19/my_awesome_qa_model", "results": []}]} | Dipan19/my_awesome_qa_model | null | [
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"distilbert",
"question-answering",
"generated_from_keras_callback",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T14:41:26+00:00 | [] | [] | TAGS
#transformers #tf #distilbert #question-answering #generated_from_keras_callback #base_model-distilbert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us
| Dipan19/my\_awesome\_qa\_model
==============================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 1.6681
* Validation Loss: 1.9723
* Epoch: 2
Model description
-----------------
More informati... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'Adam', 'weight\\_decay': None, 'clipnorm': None, 'global\\_clipnorm': None, 'clipvalue': None, 'use\\_ema': False, 'ema\\_momentum': 0.99, 'ema\\_overwrite\\_frequency': None, 'jit\\_compile': Tru... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="YulaySuyundukov/Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False ... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/- ... | YulaySuyundukov/Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-16T14:41:50+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [amazingvince/Not-WizardLM-2-7B](h... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["MaziyarPanahi/Calme-7B-Instruct-v0.9", "amazingvince/Not-WizardLM-2-7B", "Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp", "cognitivecomputations/dolphin-2.8-mistral-7b-v02"]} | mergekit-community/mergekit-dare_ties-ymiqjtz | null | [
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"base_model:Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp",
"base_model:cogni... | null | 2024-04-16T14:42:02+00:00 | [
"2311.03099",
"2306.01708"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #arxiv-2311.03099 #arxiv-2306.01708 #base_model-MaziyarPanahi/Calme-7B-Instruct-v0.9 #base_model-amazingvince/Not-WizardLM-2-7B #base_model-Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp #base_model-cognitivecomputations/dolphin-2.8-mistral-7b-v02... | # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the DARE TIES merge method using amazingvince/Not-WizardLM-2-7B as a base.
### Models Merged
The following models were included in the merge:
* MaziyarPanahi/Calme-7B-Instruc... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/sad_pepe_31 | null | [
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"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
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] | null | 2024-04-16T14:42:25+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | redmojo7/gemma-2b-it-finetune-palo-alto-network-auto-1000 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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_EMP_H4ac-seqsight_16384_512_56M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_56M](htt... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_56M", "model-index": [{"name": "GUE_EMP_H4ac-seqsight_16384_512_56M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4ac-seqsight_16384_512_56M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_16384_512_56M",
"region:us"
] | null | 2024-04-16T14:43:32+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_56M #region-us
| GUE\_EMP\_H4ac-seqsight\_16384\_512\_56M-L32\_all
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_56M on the mahdibaghbanzadeh/GUE\_EMP\_H4ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6760
* F1 Score: 0... | [
"### 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. -->
# phi-1_5-2024-04-16-16-45-Cc29D
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-2024-04-16-16-45-Cc29D", "results": []}]} | frenkd/phi-1_5-2024-04-16-16-45-Cc29D | null | [
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"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:microsoft/phi-1_5",
"license:mit",
"region:us"
] | null | 2024-04-16T14:45:15+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-microsoft/phi-1_5 #license-mit #region-us
|
# phi-1_5-2024-04-16-16-45-Cc29D
This model is a fine-tuned version of microsoft/phi-1_5 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hy... | [
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text-generation | null |
# Japanese-WizardLM2-ChatV-7B-GGUF
GGUF conversion of "Japanese-WizardLM2-ChatV-7B"
This model, Japanese-WizardLM2-ChatV-7B, is based on "chatntq-ja-7b-v1.0 ", and was created by subtracting "Mistral-7B-v0.1" from "WizardLM-2-7b" ChatVector was added by a factor of 1.0.
We aimed to add the high performance of WizardL... | {"language": ["ja"], "license": "apache-2.0", "tags": ["Mistral"], "pipeline_tag": "text-generation"} | umiyuki/Japanese-WizardLM2-ChatV-7B-GGUF | null | [
"gguf",
"Mistral",
"text-generation",
"ja",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T14:45:30+00:00 | [] | [
"ja"
] | TAGS
#gguf #Mistral #text-generation #ja #license-apache-2.0 #region-us
| Japanese-WizardLM2-ChatV-7B-GGUF
================================
GGUF conversion of "Japanese-WizardLM2-ChatV-7B"
This model, Japanese-WizardLM2-ChatV-7B, is based on "chatntq-ja-7b-v1.0 ", and was created by subtracting "Mistral-7B-v0.1" from "WizardLM-2-7b" ChatVector was added by a factor of 1.0.
We aimed to ad... | [
"### Performance\n\n\n\nThis score was evaluated by Cohere API command-r-plus using the \"<a href=\"URL a Japanese model with instruction-tuning.\n\n\nこのスコアはinstruction-tuningを行った日本語モデルのベンチマーク「ELYZA-tasks-100」を使い、Cohere APIのcommand-r-plusにより評価させたものです。",
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [Citaman/command-r-28-layer](https://hugging... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Citaman/command-r-28-layer"]} | Citaman/command-r-27-layer | null | [
"transformers",
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"cohere",
"text-generation",
"mergekit",
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"conversational",
"base_model:Citaman/command-r-28-layer",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T14:47:40+00:00 | [] | [] | TAGS
#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-28-layer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* Citaman/command-r-28-layer
### Configuration
The following YAML configuration w... | [
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null | mlx |
# mlx-community/nanoLLaVA
This model was converted to MLX format from [`qnguyen3/nanoLLaVA`]() using mlx-vllm version **0.0.3**.
Refer to the [original model card](https://huggingface.co/qnguyen3/nanoLLaVA) for more details on the model.
## Use with mlx
```bash
pip install -U mlx-vlm
```
```bash
python -m mlx_vlm.ge... | {"language": ["en"], "license": "apache-2.0", "tags": ["llava", "multimodal", "qwen", "mlx"]} | mlx-community/nanoLLaVA | null | [
"mlx",
"safetensors",
"llava-qwen2",
"llava",
"multimodal",
"qwen",
"custom_code",
"en",
"license:apache-2.0",
"region:us"
] | null | 2024-04-16T14:47:42+00:00 | [] | [
"en"
] | TAGS
#mlx #safetensors #llava-qwen2 #llava #multimodal #qwen #custom_code #en #license-apache-2.0 #region-us
|
# mlx-community/nanoLLaVA
This model was converted to MLX format from ['qnguyen3/nanoLLaVA']() using mlx-vllm version 0.0.3.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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"## Use with mlx"
] | [
"TAGS\n#mlx #safetensors #llava-qwen2 #llava #multimodal #qwen #custom_code #en #license-apache-2.0 #region-us \n",
"# mlx-community/nanoLLaVA\nThis model was converted to MLX format from ['qnguyen3/nanoLLaVA']() using mlx-vllm version 0.0.3.\nRefer to the original model card for more details on the model.",
"#... | [
43,
60,
6
] | [
"TAGS\n#mlx #safetensors #llava-qwen2 #llava #multimodal #qwen #custom_code #en #license-apache-2.0 #region-us \n# mlx-community/nanoLLaVA\nThis model was converted to MLX format from ['qnguyen3/nanoLLaVA']() using mlx-vllm version 0.0.3.\nRefer to the original model card for more details on the model.## Use with m... |
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