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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/TriadParty/deepsex-34b
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/deepsex-34b-i1-GGU... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["roleplay", "not-for-all-audiences"], "datasets": ["lemonilia/LimaRP", "PygmalionAI/PIPPA"], "base_model": "TriadParty/deepsex-34b", "quantized_by": "mradermacher"} | mradermacher/deepsex-34b-GGUF | null | [
"transformers",
"gguf",
"roleplay",
"not-for-all-audiences",
"en",
"dataset:lemonilia/LimaRP",
"dataset:PygmalionAI/PIPPA",
"base_model:TriadParty/deepsex-34b",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T20:47:37+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #roleplay #not-for-all-audiences #en #dataset-lemonilia/LimaRP #dataset-PygmalionAI/PIPPA #base_model-TriadParty/deepsex-34b #license-mit #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #roleplay #not-for-all-audiences #en #dataset-lemonilia/LimaRP #dataset-PygmalionAI/PIPPA #base_model-TriadParty/deepsex-34b #license-mit #endpoints_compatible #region-us \n"
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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. -->
# meeting_summarizer_model
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) o... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["huuuyeah/meetingbank"], "metrics": ["rouge"], "base_model": "google-t5/t5-small", "model-index": [{"name": "meeting_summarizer_model", "results": []}]} | cameronslee/meeting_summarizer_model | null | [
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"t5",
"text2text-generation",
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"dataset:huuuyeah/meetingbank",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T20:47:40+00:00 | [] | [
"en"
] | TAGS
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| meeting\_summarizer\_model
==========================
This model is a fine-tuned version of google-t5/t5-small on the dataset "huuuyeah/meetingbank".
It achieves the following results on the evaluation set:
* Loss: 2.3916
* Rouge1: 0.3517
* Rouge2: 0.2684
* Rougel: 0.3353
* Rougelsum: 0.3363
* Gen Len: 18.7564
Mo... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 4",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Aratako/Antler-7B-RP-v2
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["not-for-all-audiences", "nsfw"], "datasets": ["grimulkan/LimaRP-augmented", "Aratako/Rosebleu-1on1-Dialogues-RP"], "base_model": "Aratako/Antler-7B-RP-v2", "quantized_by": "mradermacher"} | mradermacher/Antler-7B-RP-v2-GGUF | null | [
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"not-for-all-audiences",
"nsfw",
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"dataset:grimulkan/LimaRP-augmented",
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"base_model:Aratako/Antler-7B-RP-v2",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T20:49:44+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #not-for-all-audiences #nsfw #en #dataset-grimulkan/LimaRP-augmented #dataset-Aratako/Rosebleu-1on1-Dialogues-RP #base_model-Aratako/Antler-7B-RP-v2 #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/dumbo-krillin32 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T20:57:23+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - Kousha/animated_pikachuHD_LORA
<Gallery />
## Model description
These are Kousha/animated_pika... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stabl... | Kousha/animated_pikachuHD_LORA | null | [
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"text-to-image",
"diffusers-training",
"dora",
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"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-16T20:59:22+00:00 | [] | [] | TAGS
#diffusers #tensorboard #text-to-image #diffusers-training #dora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - Kousha/animated_pikachuHD_LORA
<Gallery />
## Model description
These are Kousha/animated_pikachuHD_LORA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for t... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["legal"], "datasets": ["coastalcph/lex_glue"], "metrics": ["accuracy"], "pipeline_tag": "text-classification"} | AmitTewari/LegalPro-BERT-base | null | [
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"safetensors",
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"text-classification",
"legal",
"en",
"dataset:coastalcph/lex_glue",
"arxiv:1910.09700",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T21:03:25+00:00 | [
"1910.09700"
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"en"
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#transformers #safetensors #bert #text-classification #legal #en #dataset-coastalcph/lex_glue #arxiv-1910.09700 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by: [Amit Tewari]
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP... | [
"# Model Card for Model ID",
"## Model Details",
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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_H3K36me3-seqsight_32768_512_30M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_30M]... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_30M", "model-index": [{"name": "GUE_EMP_H3K36me3-seqsight_32768_512_30M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K36me3-seqsight_32768_512_30M-L32_all | null | [
"peft",
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"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_30M #region-us
| GUE\_EMP\_H3K36me3-seqsight\_32768\_512\_30M-L32\_all
=====================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_30M on the mahdibaghbanzadeh/GUE\_EMP\_H3K36me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8273
*... | [
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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_gemma7b_it_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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null | transformers |
# Uploaded model
- **Developed by:** reciperesearch
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | reciperesearch/SFT_v0.1 | null | [
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|
# Uploaded model
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- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# Spaetzle-v68-7b
Spaetzle-v68-7b is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [cstr/Spaetzle-v65-7b](https://huggingface.co/cstr/Spaetzle-v65-7b)
* [cstr/Spaetzle-v64-7b](https://huggingface.co/cstr/Spaetzle-v64-7b)
... | {"tags": ["merge", "mergekit", "lazymergekit", "cstr/Spaetzle-v65-7b", "cstr/Spaetzle-v64-7b"], "base_model": ["cstr/Spaetzle-v65-7b", "cstr/Spaetzle-v64-7b"]} | cstr/Spaetzle-v68-7b | null | [
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"text-... | null | 2024-04-16T21:06:52+00:00 | [] | [] | TAGS
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|
# Spaetzle-v68-7b
Spaetzle-v68-7b is a merge of the following models using LazyMergekit:
* cstr/Spaetzle-v65-7b
* cstr/Spaetzle-v64-7b
## Configuration
## Usage
| [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_0-seqsight_32768_512_30M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_30M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_30M", "model-index": [{"name": "GUE_mouse_0-seqsight_32768_512_30M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_0-seqsight_32768_512_30M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_32768_512_30M",
"region:us"
] | null | 2024-04-16T21:08:16+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_30M #region-us
| GUE\_mouse\_0-seqsight\_32768\_512\_30M-L32\_all
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_30M on the mahdibaghbanzadeh/GUE\_mouse\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5036
* F1 Score: 0.56... | [
"### 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 | 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": []} | SeeonQwQ/blip2_frame_v4.0 | null | [
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_1-seqsight_32768_512_30M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_30M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_30M", "model-index": [{"name": "GUE_mouse_1-seqsight_32768_512_30M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_1-seqsight_32768_512_30M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_32768_512_30M",
"region:us"
] | null | 2024-04-16T21:13:19+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_30M #region-us
| GUE\_mouse\_1-seqsight\_32768\_512\_30M-L32\_all
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_30M on the mahdibaghbanzadeh/GUE\_mouse\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4173
* F1 Score: 0.80... | [
"### 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-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_model
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "my_awesome_model", "results": []}]} | elrosech/my_awesome_model | null | [
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| my\_awesome\_model
==================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1972
* Accuracy: 0.9533
Model description
-----------------
More information needed
Intended uses & limitations
-------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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text-generation | transformers | ## Upstream model config
```json
{
"_name_or_path": "output/hermes-llama2-4k/checkpoint-2259",
"architectures": [
"LlamaForCausalLM"
],
"bos_token_id": 1,
"eos_token_id": 2,
"hidden_act": "silu",
"hidden_size": 4096,
"initializer_range": 0.02,
"intermediate_size": 11008,
"max_position_embeddings... | {"license": "apache-2.0"} | saadnaeem/Llama2-70M-Cosmopedia-100k-Pretrained | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T21:15:46+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| ## Upstream model config
### Dataset
### Training
### Inference
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] |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_4-seqsight_32768_512_30M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_30M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_30M", "model-index": [{"name": "GUE_mouse_4-seqsight_32768_512_30M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_4-seqsight_32768_512_30M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_32768_512_30M",
"region:us"
] | null | 2024-04-16T21:18:08+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_30M #region-us
| GUE\_mouse\_4-seqsight\_32768\_512\_30M-L32\_all
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_30M on the mahdibaghbanzadeh/GUE\_mouse\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7020
* F1 Score: 0.55... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_2-seqsight_32768_512_30M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_30M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_30M", "model-index": [{"name": "GUE_mouse_2-seqsight_32768_512_30M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_2-seqsight_32768_512_30M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_32768_512_30M",
"region:us"
] | null | 2024-04-16T21:19:01+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_30M #region-us
| GUE\_mouse\_2-seqsight\_32768\_512\_30M-L32\_all
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_30M on the mahdibaghbanzadeh/GUE\_mouse\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2021
* F1 Score: 0.81... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_3-seqsight_32768_512_30M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_30M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_30M", "model-index": [{"name": "GUE_mouse_3-seqsight_32768_512_30M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_3-seqsight_32768_512_30M-L32_all | null | [
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"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_32768_512_30M",
"region:us"
] | null | 2024-04-16T21:19:12+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_30M #region-us
| GUE\_mouse\_3-seqsight\_32768\_512\_30M-L32\_all
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_30M on the mahdibaghbanzadeh/GUE\_mouse\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8005
* F1 Score: 0.66... | [
"### 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 | 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": []} | relu-ntnu/bart-large-xsum_v2_trained_on_250 | null | [
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"safetensors",
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | # WizardChatML 7B v0
[GGUF Quants](https://huggingface.co/mrfakename/WizardChatML-7B-v0-Q4_K_M-GGUF)
I personally think ChatML is the best prompt format. It allows:
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GGUF Quants
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mistralv1_spectral_r8_3e5_e3
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistralv1_spectral_r8_3e5_e3", "results": []}]} | fangzhaoz/mistralv1_spectral_r8_3e5_e3 | null | [
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# mistralv1_spectral_r8_3e5_e3
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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text-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": []} | fangzhaoz/mistralv1_spectral_r8_3e5_e3_merged | null | [
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reinforcement-learning | sample-factory |
A(n) **APPO** model trained on the **doom_health_gathering_supreme** environment.
This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
## Downloading the model
After installing Sa... | {"library_name": "sample-factory", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "sample-factory"], "model-index": [{"name": "APPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "doom_health_gathering_supreme", "type": "doom_health_ga... | DiegoT200/rl_course_vizdoom_health_gathering_supreme | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_splice_reconstructed-seqsight_32768_512_30M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_30M", "model-index": [{"name": "GUE_splice_reconstructed-seqsight_32768_512_30M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_splice_reconstructed-seqsight_32768_512_30M-L32_all | null | [
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| GUE\_splice\_reconstructed-seqsight\_32768\_512\_30M-L32\_all
=============================================================
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fill-mask | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | kuleshov-group/caduceus-ps_seqlen-1k_d_model-118_n_layer-4_lr-8e-3 | null | [
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fill-mask | transformers |
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fill-mask | transformers |
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fill-mask | transformers |
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilroberta-base-finetuned-githubCybersecurity
This model is a fine-tuned version of [distilroberta-base](https://huggingface.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilroberta-base", "model-index": [{"name": "distilroberta-base-finetuned-githubCybersecurity", "results": []}]} | chihan0425/distilroberta-base-finetuned-githubCybersecurity | null | [
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| distilroberta-base-finetuned-githubCybersecurity
================================================
This model is a fine-tuned version of distilroberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.7557
Model description
-----------------
More information needed
... | [
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fill-mask | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | kuleshov-group/caduceus-ps_seqlen-1k_d_model-256_n_layer-4_lr-8e-3 | null | [
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fill-mask | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | kuleshov-group/caduceus-ph_seqlen-1k_d_model-256_n_layer-4_lr-8e-3 | null | [
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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 |
<br>
<br>
# LLaVA Model Card
## Model details
**Model type:**
LLaVA is an open-source chatbot trained by fine-tuning LLM on multimodal instruction-following data.
It is an auto-regressive language model, based on the transformer architecture.
Base LLM: [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mis... | {"license": "apache-2.0", "inference": false} | jeiku/llavamistral1.6configedit | null | [
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|
<br>
<br>
# LLaVA Model Card
## Model details
Model type:
LLaVA is an open-source chatbot trained by fine-tuning LLM on multimodal instruction-following data.
It is an auto-regressive language model, based on the transformer architecture.
Base LLM: mistralai/Mistral-7B-Instruct-v0.2
Model date:
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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_usp3_dpo9
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_usp3_dpo9", "results": []}]} | guoyu-zhang/model_hh_usp3_dpo9 | null | [
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#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
| model\_hh\_usp3\_dpo9
=====================
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: 4.9971
* Rewards/chosen: -22.6484
* Rewards/rejected: -28.5100
* Rewards/accuracies: 0.6200
* Rewards/margins: 5.861... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_tf_0-seqsight_32768_512_30M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_30M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_30M", "model-index": [{"name": "GUE_tf_0-seqsight_32768_512_30M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_0-seqsight_32768_512_30M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_30M #region-us
| GUE\_tf\_0-seqsight\_32768\_512\_30M-L32\_all
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_30M on the mahdibaghbanzadeh/GUE\_tf\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5930
* F1 Score: 0.7192
* Accu... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | lilyray/falcon_7b_emo_motiv_tomi | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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- License... | [
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null | transformers | # aranea-tenebris-120b-v1.0-gguf
**aka Netrve/Miqu-PlayMaid-70B-v0.1 + ShinojiResearch/Senku-70B**
Model merge for uncensored creative writing and rp
A [mergekit](https://github.com/arcee-ai/mergekit) f... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["not-for-all-audiences", "nsfw", "mergekit", "merge"], "base_model": ["Netrve/Miqu-PlayMaid-70B-v0.1", "ShinojiResearch/Senku-70B"]} | divinetaco/aranea-tenebris-120b-v1.0-gguf | null | [
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| # aranea-tenebris-120b-v1.0-gguf
aka Netrve/Miqu-PlayMaid-70B-v0.1 + ShinojiResearch/Senku-70B
Model merge for uncensored creative writing and rp
!image/png
A mergekit frankenmerge based on Netrve/Miqu-PlayMaid-70B-v0.1 with interleaved layers of ShinojiResearch/Senku-70B.
This was the top performing model from... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-1_5-finetuned-addition
This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) o... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-1_5", "model-index": [{"name": "phi-1_5-finetuned-addition", "results": []}]} | Antonilyin/phi-1_5-finetuned-addition | null | [
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"safetensors",
"phi",
"generated_from_trainer",
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"base_model:microsoft/phi-1_5",
"license:mit",
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#peft #tensorboard #safetensors #phi #generated_from_trainer #custom_code #base_model-microsoft/phi-1_5 #license-mit #region-us
|
# phi-1_5-finetuned-addition
This model is a fine-tuned version of microsoft/phi-1_5 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparame... | [
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text-generation | transformers | # aranea-tenebris-120b-v1.0-exl2
**aka Netrve/Miqu-PlayMaid-70B-v0.1 + ShinojiResearch/Senku-70B**
Model merge for uncensored creative writing and rp
A [mergekit](https://github.com/arcee-ai/mergekit) f... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["not-for-all-audiences", "nsfw", "mergekit", "merge"], "base_model": ["Netrve/Miqu-PlayMaid-70B-v0.1", "ShinojiResearch/Senku-70B"]} | divinetaco/aranea-tenebris-120b-v1.0-exl2 | null | [
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"... | null | 2024-04-16T21:39:27+00:00 | [] | [] | TAGS
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| # aranea-tenebris-120b-v1.0-exl2
aka Netrve/Miqu-PlayMaid-70B-v0.1 + ShinojiResearch/Senku-70B
Model merge for uncensored creative writing and rp
!image/png
A mergekit frankenmerge based on Netrve/Miqu-PlayMaid-70B-v0.1 with interleaved layers of ShinojiResearch/Senku-70B.
This was the top performing model from... | [
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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": []} | piercemaloney/llemma-7b-v3-finetuned-partial | null | [
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] | null | 2024-04-16T21:42:10+00:00 | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | savinda99/distilbert-base-uncased-finetuned-lgbt-classification | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_tf_1-seqsight_32768_512_30M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_30M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_30M", "model-index": [{"name": "GUE_tf_1-seqsight_32768_512_30M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_1-seqsight_32768_512_30M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_30M #region-us
| GUE\_tf\_1-seqsight\_32768\_512\_30M-L32\_all
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_30M on the mahdibaghbanzadeh/GUE\_tf\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5199
* F1 Score: 0.7450
* Accu... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_tf_4-seqsight_32768_512_30M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_30M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_30M", "model-index": [{"name": "GUE_tf_4-seqsight_32768_512_30M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_4-seqsight_32768_512_30M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_30M #region-us
| GUE\_tf\_4-seqsight\_32768\_512\_30M-L32\_all
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_30M on the mahdibaghbanzadeh/GUE\_tf\_4 dataset.
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* Loss: 0.9241
* F1 Score: 0.6684
* Accu... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** LeroyDyer
- **License:** apache-2.0
- **Finetuned from model :** Local
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "Local"} | LeroyDyer/Mixtral_AI_Cyber_Child | null | [
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# Uploaded model
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_tf_3-seqsight_32768_512_30M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_30M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_30M", "model-index": [{"name": "GUE_tf_3-seqsight_32768_512_30M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_3-seqsight_32768_512_30M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_30M #region-us
| GUE\_tf\_3-seqsight\_32768\_512\_30M-L32\_all
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_30M on the mahdibaghbanzadeh/GUE\_tf\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6909
* F1 Score: 0.5888
* Accu... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_tf_2-seqsight_32768_512_30M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_30M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_30M", "model-index": [{"name": "GUE_tf_2-seqsight_32768_512_30M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_tf_2-seqsight_32768_512_30M-L32_all | null | [
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"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_30M #region-us
| GUE\_tf\_2-seqsight\_32768\_512\_30M-L32\_all
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_30M on the mahdibaghbanzadeh/GUE\_tf\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6919
* F1 Score: 0.6799
* Accu... | [
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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": []}]} | mkim-MASI/my_awesome_opus_books_model | null | [
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] | null | 2024-04-16T21:52:58+00:00 | [] | [] | TAGS
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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: 3.1957
* Bleu: 0.2317
* Gen Len: 18.1863
Model description
-----------------
More information needed
Intended u... | [
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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_virus_covid-seqsight_32768_512_30M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_30M](... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_30M", "model-index": [{"name": "GUE_virus_covid-seqsight_32768_512_30M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_virus_covid-seqsight_32768_512_30M-L32_all | null | [
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"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_30M #region-us
| GUE\_virus\_covid-seqsight\_32768\_512\_30M-L32\_all
====================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_30M on the mahdibaghbanzadeh/GUE\_virus\_covid dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9224
* F1... | [
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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_shp2_dpo5
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "model_shp2_dpo5", "results": []}]} | guoyu-zhang/model_shp2_dpo5 | null | [
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#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
| model\_shp2\_dpo5
=================
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: 2.1695
* Rewards/chosen: -3.4447
* Rewards/rejected: -4.4007
* Rewards/accuracies: 0.5400
* Rewards/margins: 0.9560
* Logps/... | [
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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_gemma7_4bit_ft_full_big2 | null | [
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | Trubnik1967/rugpt3small_based_on_gpt2_v4 | 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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fill-mask | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | hippoleveque/my-first-model | null | [
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# Model Card for Model ID
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null | transformers |
# TS-Corpus WordPiece Tokenizer (32k, Uncased)
## Overview
This repository contains a WordPiece tokenizer with a vocabulary size of 32,000, trained uncased on various datasets from the TS Corpus website. It is designed to handle Turkish text, leveraging rich and diverse sources to provide a robust tool for natural la... | {"language": ["tr"], "license": "mit", "library_name": "transformers"} | tahaenesaslanturk/ts-corpus-wordpiece-32k-uncased | null | [
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|
# TS-Corpus WordPiece Tokenizer (32k, Uncased)
## Overview
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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": []}]} | willw9758/my_awesome_opus_books_model | null | [
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"endpoints_compatible",
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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: 3.1801
* Bleu: 0.2081
* Gen Len: 18.156
Model description
-----------------
More information needed
Intended us... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | ahforoughi/ppo-Huggy | null | [
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#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/Metaspectral/Tai
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Tai-GGUF
## Usage
If yo... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "base_model": "Metaspectral/Tai", "quantized_by": "mradermacher"} | mradermacher/Tai-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
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(sorted by size, not necessarily quality. ... | [] | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# tapt_seq_bn_amazon_helpfulness_classification_model
This model is a fine-tuned version of [roberta-base](https://huggingface.co/... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "tapt_seq_bn_amazon_helpfulness_classification_model", "results": []}]} | BigTMiami/tapt_seq_bn_amazon_helpfulness_classification_model | null | [
"tensorboard",
"generated_from_trainer",
"base_model:roberta-base",
"license:mit",
"region:us"
] | null | 2024-04-16T22:12:53+00:00 | [] | [] | TAGS
#tensorboard #generated_from_trainer #base_model-roberta-base #license-mit #region-us
| tapt\_seq\_bn\_amazon\_helpfulness\_classification\_model
=========================================================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3322
* Accuracy: 0.866
* F1 Macro: 0.5934
Model descripti... | [
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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. -->
# hermes-mistral-7b-diataxis
This model is a fine-tuned version of [NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co/N... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "NousResearch/Hermes-2-Pro-Mistral-7B", "model-index": [{"name": "hermes-mistral-7b-diataxis", "results": []}]} | enzokro/hermes-mistral-7b-diataxis | null | [
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|
# hermes-mistral-7b-diataxis
This model is a fine-tuned version of NousResearch/Hermes-2-Pro-Mistral-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
... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **Pixelcopter-PLE-v0**
This is a trained model of a **Reinforce** agent playing **Pixelcopter-PLE-v0** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
... | {"tags": ["Pixelcopter-PLE-v0", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "Reinforce-pixelcopter-1", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelcopter-... | nvasko/Reinforce-pixelcopter-1 | null | [
"Pixelcopter-PLE-v0",
"reinforce",
"reinforcement-learning",
"custom-implementation",
"deep-rl-class",
"model-index",
"region:us"
] | null | 2024-04-16T22:14:31+00:00 | [] | [] | TAGS
#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing Pixelcopter-PLE-v0
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
"# Reinforce Agent playing Pixelcopter-PLE-v0\n This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .\n To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL"
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"TAGS\n#Pixelcopter-PLE-v0 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us \n# Reinforce Agent playing Pixelcopter-PLE-v0\n This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 .\n To learn to use this model and train yours check Unit... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_prom_prom_300_tata-seqsight_32768_512_43M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_51... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_prom_prom_300_tata-seqsight_32768_512_43M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_tata-seqsight_32768_512_43M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_32768_512_43M",
"region:us"
] | null | 2024-04-16T22:15:02+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_prom\_prom\_300\_tata-seqsight\_32768\_512\_43M-L32\_all
=============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_tata dataset.
It achieves the following results on the evaluation... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 1536\n* eval\\_batch\\_size: 1536\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_prom_prom_300_notata-seqsight_32768_512_43M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_prom_prom_300_notata-seqsight_32768_512_43M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_notata-seqsight_32768_512_43M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_32768_512_43M",
"region:us"
] | null | 2024-04-16T22:15:34+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_prom\_prom\_300\_notata-seqsight\_32768\_512\_43M-L32\_all
===============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_notata dataset.
It achieves the following results on the eval... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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text-classification | setfit |
# SetFit with d0rj/ruRoberta-distilled
This is a [SetFit](https://github.com/huggingface/setfit) model that can be used for Text Classification. This SetFit model uses [d0rj/ruRoberta-distilled](https://huggingface.co/d0rj/ruRoberta-distilled) as the Sentence Transformer embedding model. A [LogisticRegression](https:... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "metrics": ["accuracy"], "widget": [{"text": "\u041d\u0430\u0441\u043b\u0435\u0434\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0441\u0442\u044c \u043d\u0435 \u043e\u0442\u044f\u0433\u043e\u0449... | DimasikKurd/ruRoberta-distilled-med-kd | null | [
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] | null | 2024-04-16T22:15:36+00:00 | [
"2209.11055"
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#setfit #safetensors #roberta #sentence-transformers #text-classification #generated_from_setfit_trainer #arxiv-2209.11055 #base_model-d0rj/ruRoberta-distilled #model-index #region-us
| SetFit with d0rj/ruRoberta-distilled
====================================
This is a SetFit model that can be used for Text Classification. This SetFit model uses d0rj/ruRoberta-distilled as the Sentence Transformer embedding model. A LogisticRegression instance is used for classification.
The model has been trained... | [
"### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: d0rj/ruRoberta-distilled\n* Classification head: a LogisticRegression instance\n* Maximum Sequence Length: 514 tokens\n* Number of Classes: 2 classes",
"### Model Sources\n\n\n* Repository: SetFit on GitHub\n* Paper: Efficient Few-Shot... | [
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null | transformers |
# LeroyDyer/Mixtral_AI_Cyber_Child-Q4_K_M-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_Cyber_Child`](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_Child) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "llama-cpp", "gguf-my-repo"], "base_model": "Local"} | LeroyDyer/Mixtral_AI_Cyber_Child-Q4_K_M-GGUF | null | [
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"gguf-my-repo",
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"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T22:16:04+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #text-generation-inference #unsloth #mistral #trl #llama-cpp #gguf-my-repo #en #base_model-Local #license-apache-2.0 #endpoints_compatible #region-us
|
# LeroyDyer/Mixtral_AI_Cyber_Child-Q4_K_M-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_Cyber_Child' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:... | [
"# LeroyDyer/Mixtral_AI_Cyber_Child-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_Cyber_Child' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server o... | [
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"# LeroyDyer/Mixtral_AI_Cyber_Child-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_Cyber_Child' usi... | [
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text-generation | transformers |
<img src="https://huggingface.co/Orbina/Orbita-v0.1/resolve/main/orbita.png"
alt="Orbita LLM" width="500"/>
# Orbita-v0.1
This model is a Turkish Large Language Model with multiple abilites across different dimensions on the Turkish Language covering a variety of Tasks like Coding, Math, etc...
This model is an exte... | {"language": ["tr"], "license": "apache-2.0", "model-index": [{"name": "Orbita-v0.1", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge TR", "type": "ai2_arc", "config": "ARC-Challenge", "split": "test", "args": {"num_few_shot": 25}}, "metrics": [{... | Orbina/Orbita-v0.1 | null | [
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"tr"
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#transformers #safetensors #qwen2 #text-generation #conversational #tr #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us
| <img src="URL
alt="Orbita LLM" width="500"/>
Orbita-v0.1
===========
This model is a Turkish Large Language Model with multiple abilites across different dimensions on the Turkish Language covering a variety of Tasks like Coding, Math, etc...
This model is an extended version of a Qwen-based Large Language Model (L... | [] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #conversational #tr #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us \n"
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] |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_prom_prom_core_all-seqsight_32768_512_43M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_51... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_prom_prom_core_all-seqsight_32768_512_43M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_all-seqsight_32768_512_43M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_32768_512_43M",
"region:us"
] | null | 2024-04-16T22:20:04+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_prom\_prom\_core\_all-seqsight\_32768\_512\_43M-L32\_all
=============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_all dataset.
It achieves the following results on the evaluation... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_prom_prom_core_notata-seqsight_32768_512_43M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_prom_prom_core_notata-seqsight_32768_512_43M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_notata-seqsight_32768_512_43M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_32768_512_43M",
"region:us"
] | null | 2024-04-16T22:20:43+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_prom\_prom\_core\_notata-seqsight\_32768\_512\_43M-L32\_all
================================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_notata dataset.
It achieves the following results on the e... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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text-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. -->
# roberta-petco-filtered_annotated-ctr
This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/Face... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "FacebookAI/roberta-base", "model-index": [{"name": "roberta-petco-filtered_annotated-ctr", "results": []}]} | yimiwang/roberta-petco-filtered_annotated-ctr | null | [
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"endpoints_compatible",
"region:us"
] | null | 2024-04-16T22:22:27+00:00 | [] | [] | TAGS
#transformers #safetensors #roberta #text-classification #generated_from_trainer #base_model-FacebookAI/roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| roberta-petco-filtered\_annotated-ctr
=====================================
This model is a fine-tuned version of FacebookAI/roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0023
* Mse: 0.0023
* Rmse: 0.0477
* Mae: 0.0361
* R2: 0.4149
* Accuracy: 0.75
Model desc... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 10\n* eval\\_batch\\_size: 10\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 20",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_prom_prom_core_tata-seqsight_32768_512_43M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_5... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_prom_prom_core_tata-seqsight_32768_512_43M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_tata-seqsight_32768_512_43M-L32_all | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_32768_512_43M",
"region:us"
] | null | 2024-04-16T22:26:17+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_prom\_prom\_core\_tata-seqsight\_32768\_512\_43M-L32\_all
==============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_tata dataset.
It achieves the following results on the evaluat... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 2048\n* eval\\_batch\\_size: 2048\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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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_32768_512_43M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_prom_prom_300_all-seqsight_32768_512_43M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_all-seqsight_32768_512_43M-L32_all | null | [
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"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_32768_512_43M",
"region:us"
] | null | 2024-04-16T22:26:34+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_prom\_prom\_300\_all-seqsight\_32768\_512\_43M-L32\_all
============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_all dataset.
It achieves the following results on the evaluation se... | [
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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": []} | piercemaloney/llemma-7b-v4-finetuned-small-chunks | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | 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_mixtral8x7b_it_4bit_ft_full_big | null | [
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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 |
# CodeQwen1.5-7B - EXL2 8.0bpw
This is a 8.0bpw EXL2 quant of [Qwen/CodeQwen1.5-7B](https://huggingface.co/Qwen/CodeQwen1.5-7B)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on old... | {"language": ["en"], "license": "other", "tags": ["exl2", "pretrained"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/CodeQwen1.5-7B/blob/main/LICENSE", "pipeline_tag": "text-generation", "base_model": "Qwen/CodeQwen1.5-7B"} | Dracones/CodeQwen1.5-7B_exl2_8.0bpw | null | [
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"license:other",
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] | null | 2024-04-16T22:28:05+00:00 | [] | [
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| CodeQwen1.5-7B - EXL2 8.0bpw
============================
This is a 8.0bpw EXL2 quant of Qwen/CodeQwen1.5-7B
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older ver... | [
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is the script used for quantization."
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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-20-layer](https://hugging... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Citaman/command-r-20-layer"]} | Citaman/command-r-19-layer | null | [
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"base_model:Citaman/command-r-20-layer",
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"endpoints_compatible",
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"region:us"
] | null | 2024-04-16T22:29:17+00:00 | [] | [] | TAGS
#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-20-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-20-layer
### Configuration
The following YAML configuration w... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
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text-generation | transformers |
# CodeQwen1.5-7B - EXL2 7.0bpw
This is a 7.0bpw EXL2 quant of [Qwen/CodeQwen1.5-7B](https://huggingface.co/Qwen/CodeQwen1.5-7B)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on old... | {"language": ["en"], "license": "other", "tags": ["exl2", "pretrained"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/CodeQwen1.5-7B/blob/main/LICENSE", "pipeline_tag": "text-generation", "base_model": "Qwen/CodeQwen1.5-7B"} | Dracones/CodeQwen1.5-7B_exl2_7.0bpw | null | [
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] | null | 2024-04-16T22:29:20+00:00 | [] | [
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| CodeQwen1.5-7B - EXL2 7.0bpw
============================
This is a 7.0bpw EXL2 quant of Qwen/CodeQwen1.5-7B
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older ver... | [
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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_usp4_dpo9
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_usp4_dpo9", "results": []}]} | guoyu-zhang/model_hh_usp4_dpo9 | null | [
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"base_model:meta-llama/Llama-2-7b-chat-hf",
"region:us"
] | null | 2024-04-16T22:29:59+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
| model\_hh\_usp4\_dpo9
=====================
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: 4.0767
* Rewards/chosen: -1.1762
* Rewards/rejected: -7.5013
* Rewards/accuracies: 0.6300
* Rewards/margins: 6.3252
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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text-generation | transformers |
# CodeQwen1.5-7B - EXL2 6.0bpw
This is a 6.0bpw EXL2 quant of [Qwen/CodeQwen1.5-7B](https://huggingface.co/Qwen/CodeQwen1.5-7B)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on old... | {"language": ["en"], "license": "other", "tags": ["exl2", "pretrained"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/CodeQwen1.5-7B/blob/main/LICENSE", "pipeline_tag": "text-generation", "base_model": "Qwen/CodeQwen1.5-7B"} | Dracones/CodeQwen1.5-7B_exl2_6.0bpw | null | [
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"autotrain_compatible",
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] | null | 2024-04-16T22:30:24+00:00 | [] | [
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| CodeQwen1.5-7B - EXL2 6.0bpw
============================
This is a 6.0bpw EXL2 quant of Qwen/CodeQwen1.5-7B
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older ver... | [
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is the script used for quantization."
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: True
- load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: fp4
- bnb_4bit_use_doub... | {"library_name": "peft"} | moneygod/jdft | null | [
"peft",
"safetensors",
"region:us"
] | null | 2024-04-16T22:30:47+00:00 | [] | [] | TAGS
#peft #safetensors #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: True
- load_in_4bit: False
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: fp4
- bnb_4bit_use_doub... | [
"## Training procedure\n\n\nThe following 'bitsandbytes' quantization config was used during training:\n- load_in_8bit: True\n- load_in_4bit: False\n- llm_int8_threshold: 6.0\n- llm_int8_skip_modules: None\n- llm_int8_enable_fp32_cpu_offload: False\n- llm_int8_has_fp16_weight: False\n- bnb_4bit_quant_type: fp4\n- b... | [
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text-generation | transformers |
# CodeQwen1.5-7B - EXL2 5.0bpw
This is a 5.0bpw EXL2 quant of [Qwen/CodeQwen1.5-7B](https://huggingface.co/Qwen/CodeQwen1.5-7B)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on old... | {"language": ["en"], "license": "other", "tags": ["exl2", "pretrained"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/CodeQwen1.5-7B/blob/main/LICENSE", "pipeline_tag": "text-generation", "base_model": "Qwen/CodeQwen1.5-7B"} | Dracones/CodeQwen1.5-7B_exl2_5.0bpw | null | [
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"text-generation",
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"pretrained",
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"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"5-bit",
"region:us"
] | null | 2024-04-16T22:31:26+00:00 | [] | [
"en"
] | TAGS
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| CodeQwen1.5-7B - EXL2 5.0bpw
============================
This is a 5.0bpw EXL2 quant of Qwen/CodeQwen1.5-7B
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older ver... | [
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is the script used for quantization."
] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #exl2 #pretrained #conversational #en #base_model-Qwen/CodeQwen1.5-7B #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #5-bit #region-us \n",
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\... | [
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"TAGS\n#transformers #safetensors #qwen2 #text-generation #exl2 #pretrained #conversational #en #base_model-Qwen/CodeQwen1.5-7B #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #5-bit #region-us \n### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQ... |
text-generation | transformers |
# CodeQwen1.5-7B - EXL2 4.0bpw
This is a 4.0bpw EXL2 quant of [Qwen/CodeQwen1.5-7B](https://huggingface.co/Qwen/CodeQwen1.5-7B)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on old... | {"language": ["en"], "license": "other", "tags": ["exl2", "pretrained"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/CodeQwen1.5-7B/blob/main/LICENSE", "pipeline_tag": "text-generation", "base_model": "Qwen/CodeQwen1.5-7B"} | Dracones/CodeQwen1.5-7B_exl2_4.0bpw | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"exl2",
"pretrained",
"conversational",
"en",
"base_model:Qwen/CodeQwen1.5-7B",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-16T22:32:23+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #qwen2 #text-generation #exl2 #pretrained #conversational #en #base_model-Qwen/CodeQwen1.5-7B #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| CodeQwen1.5-7B - EXL2 4.0bpw
============================
This is a 4.0bpw EXL2 quant of Qwen/CodeQwen1.5-7B
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older ver... | [
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is the script used for quantization."
] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #exl2 #pretrained #conversational #en #base_model-Qwen/CodeQwen1.5-7B #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\... | [
73,
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"TAGS\n#transformers #safetensors #qwen2 #text-generation #exl2 #pretrained #conversational #en #base_model-Qwen/CodeQwen1.5-7B #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQ... |
text-generation | transformers |
# CodeQwen1.5-7B - EXL2 3.5bpw
This is a 3.5bpw EXL2 quant of [Qwen/CodeQwen1.5-7B](https://huggingface.co/Qwen/CodeQwen1.5-7B)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on old... | {"language": ["en"], "license": "other", "tags": ["exl2", "pretrained"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/CodeQwen1.5-7B/blob/main/LICENSE", "pipeline_tag": "text-generation", "base_model": "Qwen/CodeQwen1.5-7B"} | Dracones/CodeQwen1.5-7B_exl2_3.5bpw | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"exl2",
"pretrained",
"conversational",
"en",
"base_model:Qwen/CodeQwen1.5-7B",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T22:33:05+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #qwen2 #text-generation #exl2 #pretrained #conversational #en #base_model-Qwen/CodeQwen1.5-7B #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| CodeQwen1.5-7B - EXL2 3.5bpw
============================
This is a 3.5bpw EXL2 quant of Qwen/CodeQwen1.5-7B
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older ver... | [
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is the script used for quantization."
] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #exl2 #pretrained #conversational #en #base_model-Qwen/CodeQwen1.5-7B #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQu... | [
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text-generation | transformers |
# CodeQwen1.5-7B - EXL2 3.0bpw
This is a 3.0bpw EXL2 quant of [Qwen/CodeQwen1.5-7B](https://huggingface.co/Qwen/CodeQwen1.5-7B)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on old... | {"language": ["en"], "license": "other", "tags": ["exl2", "pretrained"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/CodeQwen1.5-7B/blob/main/LICENSE", "pipeline_tag": "text-generation", "base_model": "Qwen/CodeQwen1.5-7B"} | Dracones/CodeQwen1.5-7B_exl2_3.0bpw | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
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"base_model:Qwen/CodeQwen1.5-7B",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"3-bit",
"region:us"
] | null | 2024-04-16T22:33:44+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #qwen2 #text-generation #exl2 #pretrained #conversational #en #base_model-Qwen/CodeQwen1.5-7B #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #3-bit #region-us
| CodeQwen1.5-7B - EXL2 3.0bpw
============================
This is a 3.0bpw EXL2 quant of Qwen/CodeQwen1.5-7B
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older ver... | [
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is the script used for quantization."
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"TAGS\n#transformers #safetensors #qwen2 #text-generation #exl2 #pretrained #conversational #en #base_model-Qwen/CodeQwen1.5-7B #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #3-bit #region-us \n",
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\... | [
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"TAGS\n#transformers #safetensors #qwen2 #text-generation #exl2 #pretrained #conversational #en #base_model-Qwen/CodeQwen1.5-7B #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #3-bit #region-us \n### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQ... |
text-generation | transformers |
# CodeQwen1.5-7B - EXL2 2.75bpw
This is a 2.75bpw EXL2 quant of [Qwen/CodeQwen1.5-7B](https://huggingface.co/Qwen/CodeQwen1.5-7B)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on o... | {"language": ["en"], "license": "other", "tags": ["exl2", "pretrained"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/CodeQwen1.5-7B/blob/main/LICENSE", "pipeline_tag": "text-generation", "base_model": "Qwen/CodeQwen1.5-7B"} | Dracones/CodeQwen1.5-7B_exl2_2.75bpw | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"exl2",
"pretrained",
"conversational",
"en",
"base_model:Qwen/CodeQwen1.5-7B",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T22:34:22+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #qwen2 #text-generation #exl2 #pretrained #conversational #en #base_model-Qwen/CodeQwen1.5-7B #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| CodeQwen1.5-7B - EXL2 2.75bpw
=============================
This is a 2.75bpw EXL2 quant of Qwen/CodeQwen1.5-7B
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older ... | [
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is the script used for quantization."
] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #exl2 #pretrained #conversational #en #base_model-Qwen/CodeQwen1.5-7B #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQu... | [
69,
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"TAGS\n#transformers #safetensors #qwen2 #text-generation #exl2 #pretrained #conversational #en #base_model-Qwen/CodeQwen1.5-7B #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant De... |
text-generation | transformers |
# CodeQwen1.5-7B - EXL2 2.5bpw
This is a 2.5bpw EXL2 quant of [Qwen/CodeQwen1.5-7B](https://huggingface.co/Qwen/CodeQwen1.5-7B)
Details about the model can be found at the above model page.
## EXL2 Version
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on old... | {"language": ["en"], "license": "other", "tags": ["exl2", "pretrained"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/CodeQwen1.5-7B/blob/main/LICENSE", "pipeline_tag": "text-generation", "base_model": "Qwen/CodeQwen1.5-7B"} | Dracones/CodeQwen1.5-7B_exl2_2.5bpw | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"exl2",
"pretrained",
"conversational",
"en",
"base_model:Qwen/CodeQwen1.5-7B",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-16T22:34:55+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #qwen2 #text-generation #exl2 #pretrained #conversational #en #base_model-Qwen/CodeQwen1.5-7B #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| CodeQwen1.5-7B - EXL2 2.5bpw
============================
This is a 2.5bpw EXL2 quant of Qwen/CodeQwen1.5-7B
Details about the model can be found at the above model page.
EXL2 Version
------------
These quants were made with exllamav2 version 0.0.18. Quants made on this version of EXL2 may not work on older ver... | [
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant Details\n-------------\n\n\nThis is the script used for quantization."
] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #exl2 #pretrained #conversational #en #base_model-Qwen/CodeQwen1.5-7B #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQu... | [
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"TAGS\n#transformers #safetensors #qwen2 #text-generation #exl2 #pretrained #conversational #en #base_model-Qwen/CodeQwen1.5-7B #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Perplexity Script\n\n\nThis was the script used for perplexity testing.\n\n\nQuant De... |
null | adapter-transformers |
# Adapter `BigTMiami/tapt_seq_bn_amazon_helpfulness_classification_adapter` for roberta-base
An [adapter](https://adapterhub.ml) for the `roberta-base` model that was trained on the [BigTMiami/amazon_helpfulness](https://huggingface.co/datasets/BigTMiami/amazon_helpfulness/) dataset and includes a prediction head for... | {"tags": ["adapter-transformers", "roberta"], "datasets": ["BigTMiami/amazon_helpfulness"]} | BigTMiami/tapt_seq_bn_amazon_helpfulness_classification_adapter | null | [
"adapter-transformers",
"roberta",
"dataset:BigTMiami/amazon_helpfulness",
"region:us"
] | null | 2024-04-16T22:35:35+00:00 | [] | [] | TAGS
#adapter-transformers #roberta #dataset-BigTMiami/amazon_helpfulness #region-us
|
# Adapter 'BigTMiami/tapt_seq_bn_amazon_helpfulness_classification_adapter' for roberta-base
An adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.
This adapter was created for usage with the Adapters library.
## Usage
... | [
"# Adapter 'BigTMiami/tapt_seq_bn_amazon_helpfulness_classification_adapter' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.\n\nThis adapter was created for usage with the Adapters library.",
... | [
"TAGS\n#adapter-transformers #roberta #dataset-BigTMiami/amazon_helpfulness #region-us \n",
"# Adapter 'BigTMiami/tapt_seq_bn_amazon_helpfulness_classification_adapter' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a predictio... | [
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"TAGS\n#adapter-transformers #roberta #dataset-BigTMiami/amazon_helpfulness #region-us \n# Adapter 'BigTMiami/tapt_seq_bn_amazon_helpfulness_classification_adapter' for roberta-base\n\nAn adapter for the 'roberta-base' model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head... |
text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_ablation_4iters_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/Hu... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.001_ablation_4iters_iter_1", "results": []}]} | ShenaoZ/0.001_ablation_4iters_iter_1 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"alignment-handbook",
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"dpo",
"conversational",
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"base_model:HuggingFaceH4/mistral-7b-sft-beta",
"license:mit",
"autotrain_compatible",
"endpoints_co... | null | 2024-04-16T22:36:51+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-HuggingFaceH4/ultrafeedback_binarized #base_model-HuggingFaceH4/mistral-7b-sft-beta #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# 0.001_ablation_4iters_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information need... | [
"# 0.001_ablation_4iters_iter_1\n\nThis model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-HuggingFaceH4/ultrafeedback_binarized #base_model-HuggingFaceH4/mistral-7b-sft-beta #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-u... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0_ablation_4iters_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/Hugg... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.0_ablation_4iters_iter_1", "results": []}]} | ShenaoZ/0.0_ablation_4iters_iter_1 | null | [
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"alignment-handbook",
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"dpo",
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"base_model:HuggingFaceH4/mistral-7b-sft-beta",
"license:mit",
"autotrain_compatible",
"endpoints_co... | null | 2024-04-16T22:36:53+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #alignment-handbook #generated_from_trainer #trl #dpo #conversational #dataset-HuggingFaceH4/ultrafeedback_binarized #base_model-HuggingFaceH4/mistral-7b-sft-beta #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# 0.0_ablation_4iters_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed... | [
"# 0.0_ablation_4iters_iter_1\n\nThis model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nM... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | MLIsaac/SpaceInvadersNoFrameskip-v4 | null | [
"stable-baselines3",
"SpaceInvadersNoFrameskip-v4",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-16T22:40:24+00:00 | [] | [] | TAGS
#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
"# DQN Agent playing SpaceInvadersNoFrameskip-v4\nThis is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4\nusing the stable-baselines3 library\nand the RL Zoo.\n\nThe RL Zoo is a training framework for Stable Baselines3\nreinforcement learning agents,\nwith hyperparameter optimization and pre-tra... | [
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null | transformers |
# Uploaded model
- **Developed by:** codesagar
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | codesagar/prompt-guard-classification-v11 | null | [
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|
# Uploaded model
- Developed by: codesagar
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This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# WizardLM-2-4x7B-MoE-exl2-6_0bpw
This is a quantized version of [WizardLM-2-4x7B-MoE](https://huggingface.co/Skylaude/WizardLM-2-4x7B-MoE) an experimental MoE model made with [Mergekit](https://github.com/arcee-ai/mergekit). Quantization was done using version 0.0.18 of [ExLlamaV2](https://github.com/turboderp/exlla... | {"license": "apache-2.0", "tags": ["MoE", "merge", "mergekit", "Mistral", "Microsoft/WizardLM-2-7B"]} | Skylaude/WizardLM-2-4x7B-MoE-exl2-6_0bpw | null | [
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|
# WizardLM-2-4x7B-MoE-exl2-6_0bpw
This is a quantized version of WizardLM-2-4x7B-MoE an experimental MoE model made with Mergekit. Quantization was done using version 0.0.18 of ExLlamaV2.
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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-19-layer](https://hugging... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Citaman/command-r-19-layer"]} | Citaman/command-r-18-layer | null | [
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#transformers #safetensors #cohere #text-generation #mergekit #merge #conversational #base_model-Citaman/command-r-19-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-19-layer
### Configuration
The following YAML configuration w... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** yiruiz
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-2-13b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-2-13b-bnb-4bit"} | yiruiz/llama-2-13b-code-4bit-old | null | [
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|
# Uploaded model
- Developed by: yiruiz
- License: apache-2.0
- Finetuned from model : unsloth/llama-2-13b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | 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_32768_512_43M-L32_all
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_43M](... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_EMP_H3K14ac-seqsight_32768_512_43M-L32_all", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K14ac-seqsight_32768_512_43M-L32_all | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_EMP\_H3K14ac-seqsight\_32768\_512\_43M-L32\_all
====================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_EMP\_H3K14ac dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2629
* F1... | [
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image-classification | pytorch |
# TransNeXt
Official Model release
for ["TransNeXt: Robust Foveal Visual Perception for Vision Transformers"](https://arxiv.org/pdf/2311.17132.pdf) [CVPR 2024]
.
## Model Details
- **Code:** https://github.com/DaiShiResearch/TransNeXt
- **Paper:** [TransNeXt: Robust Foveal Visual Perception for Vision Transformers](h... | {"language": ["en"], "license": "apache-2.0", "library_name": "pytorch", "tags": ["vision"], "datasets": ["imagenet-1k"], "metrics": ["accuracy"], "pipeline_tag": "image-classification"} | DaiShiResearch/transnext-tiny-224-1k | null | [
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#pytorch #vision #image-classification #en #dataset-imagenet-1k #arxiv-2311.17132 #license-apache-2.0 #region-us
| TransNeXt
=========
Official Model release
for "TransNeXt: Robust Foveal Visual Perception for Vision Transformers" [CVPR 2024]
.
Model Details
-------------
* Code: URL
* Paper: TransNeXt: Robust Foveal Visual Perception for Vision Transformers
* Author: Dai Shi
* Email: daishiresearch@URL
Methods
-------
##... | [
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"#### Attention Visualization... | [
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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": []} | nninjun/gpt2-xl-lora-stereoset-A-B-v1 | null | [
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/crimsonjoo/Neversleep-11B-v0.1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not s... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["generated_from_trainer"], "base_model": "crimsonjoo/Neversleep-11B-v0.1", "quantized_by": "mradermacher"} | mradermacher/Neversleep-11B-v0.1-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | null |
<!-- 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. -->
# legal-bert-lora
This model is a fine-tuned version of [nlpaueb/legal-bert-base-uncased](https://huggingface.co/nlpaueb/legal-ber... | {"license": "cc-by-sa-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall"], "base_model": "nlpaueb/legal-bert-base-uncased", "model-index": [{"name": "legal-bert-lora", "results": []}]} | xshubhamx/legal-bert-lora | null | [
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"generated_from_trainer",
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"license:cc-by-sa-4.0",
"region:us"
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#tensorboard #safetensors #generated_from_trainer #base_model-nlpaueb/legal-bert-base-uncased #license-cc-by-sa-4.0 #region-us
| legal-bert-lora
===============
This model is a fine-tuned version of nlpaueb/legal-bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6841
* Accuracy: 0.8048
* Precision: 0.7955
* Recall: 0.8048
* Precision Macro: 0.6332
* Recall Macro: 0.6316
* Macro Fpr: 0... | [
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text-generation | transformers | ## Model Card
### Model Details
- **Model Name**: llama-fine-tune
- **Language**: Spanish
- **Training Type**: Fine-tuning
- **Base Model**: [NousResearch/Llama-2-7b-chat-hf](https://huggingface.co/NousResearch/Llama-2-7b-chat-hf)
- **Model Description**: Un modelo de Llama de 2.7 mil millones de parámetros ajustado (... | {"language": ["es"], "license": "apache-2.0"} | CamiloVega/Llama-Jobs-Tips | null | [
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| ## Model Card
### Model Details
- Model Name: llama-fine-tune
- Language: Spanish
- Training Type: Fine-tuning
- Base Model: NousResearch/Llama-2-7b-chat-hf
- Model Description: Un modelo de Llama de 2.7 mil millones de parámetros ajustado (fine-tuned) en un conjunto de datos de preguntas y respuestas sobre consejos d... | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# tapt_seq_bn_amazon_helpfulness_classification_model_v2
This model is a fine-tuned version of [roberta-base](https://huggingface.... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "roberta-base", "model-index": [{"name": "tapt_seq_bn_amazon_helpfulness_classification_model_v2", "results": []}]} | BigTMiami/tapt_seq_bn_amazon_helpfulness_classification_model_v2 | null | [
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#tensorboard #generated_from_trainer #base_model-roberta-base #license-mit #region-us
| tapt\_seq\_bn\_amazon\_helpfulness\_classification\_model\_v2
=============================================================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3540
* Accuracy: 0.864
* F1 Macro: 0.6950
Model d... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio... | [
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null | null | # TS-Corpus BPE Tokenizer (32k, Cased)
## Overview
This repository hosts a Byte Pair Encoding (BPE) tokenizer with a vocabulary size of 32,000, trained uncased using several datasets from the TS Corpus website. The BPE method is particularly effective for languages like Turkish, providing a balance between word-level ... | {"license": "mit"} | tahaenesaslanturk/ts-corpus-bpe-32k-cased | null | [
"license:mit",
"region:us"
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#license-mit #region-us
| # TS-Corpus BPE Tokenizer (32k, Cased)
## Overview
This repository hosts a Byte Pair Encoding (BPE) tokenizer with a vocabulary size of 32,000, trained uncased using several datasets from the TS Corpus website. The BPE method is particularly effective for languages like Turkish, providing a balance between word-level ... | [
"# TS-Corpus BPE Tokenizer (32k, Cased)",
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | lilyray/falcon_7b_emo_motiv_sileod | null | [
"transformers",
"safetensors",
"trl",
"sft",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-16T22:54:47+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #trl #sft #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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