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text-to-video | transformers |
Hello! This is Kalaphant's AI Video Gen tool. | {"language": ["en"], "library_name": "transformers", "datasets": ["Kalaphant/Videos"], "metrics": ["accuracy"], "pipeline_tag": "text-to-video"} | Kalaphant/KalaVids | null | [
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"transformer",
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
bloom-1b7 - bnb 8bits
- Model creator: https://huggingface.co/bigscience/
- Original model: https://huggingface.co/bigscienc... | {} | RichardErkhov/bigscience_-_bloom-1b7-8bits | null | [
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"endpoints_compatible",
"text-generation-inference",
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"region:us"
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
bloom-1b7 - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: bigscience-bloom-rail-1.0
language:
* ak
* ar
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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. -->
# my_awesome_eli5_clm-model
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the eli5_category dataset... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "gpt2", "model-index": [{"name": "my_awesome_eli5_clm-model", "results": []}]} | BohanJiang/my_awesome_eli5_clm-model | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"dataset:eli5_category",
"base_model:gpt2",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-26T22:52:19+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #dataset-eli5_category #base_model-gpt2 #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| my\_awesome\_eli5\_clm-model
============================
This model is a fine-tuned version of gpt2 on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 3.5573
Model description
-----------------
More information needed
Intended uses & limitations
------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
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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_H3K4me1-seqsight_4096_512_46M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](https... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_EMP_H3K4me1-seqsight_4096_512_46M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me1-seqsight_4096_512_46M-L1_f | null | [
"peft",
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"generated_from_trainer",
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"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_EMP\_H3K4me1-seqsight\_4096\_512\_46M-L1\_f
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4939
* F1 Score: 0... | [
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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_H3K79me3-seqsight_4096_512_46M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](htt... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_EMP_H3K79me3-seqsight_4096_512_46M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K79me3-seqsight_4096_512_46M-L32_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_46M",
"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_EMP\_H3K79me3-seqsight\_4096\_512\_46M-L32\_f
==================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_EMP\_H3K79me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4107
* F1 Sco... | [
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text-generation | null |
# Crow13/nvnv-alice-Q8_0-GGUF
This model was converted to GGUF format from [`instructkr/nvnv-alice`](https://huggingface.co/instructkr/nvnv-alice) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingface.co/instr... | {"language": ["ko"], "license": ["cc-by-nc-4.0"], "tags": ["llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation"} | Crow13/nvnv-alice-Q8_0-GGUF | null | [
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"gguf-my-repo",
"text-generation",
"ko",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-26T22:54:17+00:00 | [] | [
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#gguf #llama-cpp #gguf-my-repo #text-generation #ko #license-cc-by-nc-4.0 #region-us
|
# Crow13/nvnv-alice-Q8_0-GGUF
This model was converted to GGUF format from 'instructkr/nvnv-alice' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note: You can... | [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
bloom-1b7 - GGUF
- Model creator: https://huggingface.co/bigscience/
- Original model: https://huggingface.co/bigscience/blo... | {} | RichardErkhov/bigscience_-_bloom-1b7-gguf | null | [
"gguf",
"arxiv:1909.08053",
"arxiv:2110.02861",
"arxiv:2108.12409",
"region:us"
] | null | 2024-04-26T22:54:23+00:00 | [
"1909.08053",
"2110.02861",
"2108.12409"
] | [] | TAGS
#gguf #arxiv-1909.08053 #arxiv-2110.02861 #arxiv-2108.12409 #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
bloom-1b7 - GGUF
* Model creator: URL
* Original model: URL
Name: bloom-1b7.Q2\_K.gguf, Quant method: Q2\_K, Size: 0.98GB
Name: bloom-1b7.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 1.08GB
Name: bloom-1b7.IQ3\_S.gguf, Quant method: IQ3\_... | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-finetuned-qa-squadv2
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-base-uncased", "model-index": [{"name": "bert-finetuned-qa-squadv2", "results": []}]} | momo345/bert-finetuned-qa-squadv2 | null | [
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"question-answering",
"generated_from_trainer",
"base_model:bert-base-uncased",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T22:54:24+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #question-answering #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us
|
# bert-finetuned-qa-squadv2
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparam... | [
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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:
* [aaditya/OpenBioLLM-Llama3-8B](https://huggi... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["aaditya/OpenBioLLM-Llama3-8B", "o2satz/WS_med_QA_Dolphin"]} | o2satz/WS_med_QA_DolphinBioLLM | null | [
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"base_model:o2satz/WS_med_QA_Dolphin",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-26T22:54:31+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #mergekit #merge #conversational #base_model-aaditya/OpenBioLLM-Llama3-8B #base_model-o2satz/WS_med_QA_Dolphin #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:
* aaditya/OpenBioLLM-Llama3-8B
* o2satz/WS_med_QA_Dolphin
### Configuration
The f... | [
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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": []} | pruning/o2h629g | null | [
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"text-generation",
"conversational",
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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. -->
# amtibot_t5
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-base", "model-index": [{"name": "amtibot_t5", "results": []}]} | josiahgottfried/amtibot_t5 | null | [
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| amtibot\_t5
===========
This model is a fine-tuned version of t5-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.3926
* Rouge1: 0.3075
* Rouge2: 0.1254
* Rougel: 0.2587
* Rougelsum: 0.2591
* Gen Len: 19.0
Model description
-----------------
More information needed
... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_4iters_bs128_nodpo_only4w_userresponse_iter_3
This model is a fine-tuned version of [ShenaoZhang/0.001_4iters_bs128_nodpo_... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_4iters_bs128_nodpo_only4w_userresponse_iter_2", "model-index": [{"name": "0.001_4iters_bs128_nodpo_only4w_userresponse_... | ShenaoZhang/0.001_4iters_bs128_nodpo_only4w_userresponse_iter_3 | null | [
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# 0.001_4iters_bs128_nodpo_only4w_userresponse_iter_3
This model is a fine-tuned version of ShenaoZhang/0.001_4iters_bs128_nodpo_only4w_userresponse_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
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... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | Joalbom14/ppo-SnowballTarget | null | [
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|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
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text-generation | transformers | # ExperimentOne (Mistral-Hermes-Dolphin-7b)
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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [mistralai/Mistral-7B-v0.1](http... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mistralai/Mistral-7B-v0.1", "cognitivecomputations/dolphin-2.8-mistral-7b-v02", "NousResearch/Hermes-2-Pro-Mistral-7B"]} | TitleOS/ExperimentOne | null | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the Model Stock merge method using mistralai/Mistral-7B-v0.1 as a base.
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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": []} | devesh220897/financial-chatbot-for-young-adults-1 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Llama-2-7b-chat-hf_fictional_arc_easy_english_v3
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://h... | {"license": "llama2", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Llama-2-7b-chat-hf", "model-index": [{"name": "Llama-2-7b-chat-hf_fictional_arc_easy_english_v3", "results": []}]} | yzhuang/Llama-2-7b-chat-hf_fictional_arc_easy_english_v3 | null | [
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# Llama-2-7b-chat-hf_fictional_arc_easy_english_v3
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Train... | [
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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. -->
# CS505_COQE_viT5_train_Instruction0_SOPAL_v1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/Vie... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_SOPAL_v1", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_SOPAL_v1 | null | [
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# CS505_COQE_viT5_train_Instruction0_SOPAL_v1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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<!-- Provide a longer summary of what this model is. -->
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audio-to-audio | null | 
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
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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. -->
# CS505_COQE_viT5_train_Instruction0_OSPAL_v1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/Vie... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_OSPAL_v1", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_OSPAL_v1 | null | [
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|
# CS505_COQE_viT5_train_Instruction0_OSPAL_v1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_4iters_bs256_nodpo_only4w_userresponse_iter_3
This model is a fine-tuned version of [ShenaoZhang/0.001_4iters_bs256_nodpo_... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_4iters_bs256_nodpo_only4w_userresponse_iter_2", "model-index": [{"name": "0.001_4iters_bs256_nodpo_only4w_userresponse_... | ShenaoZhang/0.001_4iters_bs256_nodpo_only4w_userresponse_iter_3 | null | [
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# 0.001_4iters_bs256_nodpo_only4w_userresponse_iter_3
This model is a fine-tuned version of ShenaoZhang/0.001_4iters_bs256_nodpo_only4w_userresponse_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-finetuned-covidqa
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-un... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "bert-finetuned-covidqa", "results": []}]} | momo345/bert-finetuned-covidqa | null | [
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# bert-finetuned-covidqa
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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text-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. -->
# zephyr-7b-gemma-dpo
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-gemma-sft-v0.1](https://huggingface.co/Huggin... | {"license": "other", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "alignment-handbook", "generated_from_trainer"], "datasets": ["argilla/dpo-mix-7k"], "base_model": "HuggingFaceH4/zephyr-7b-gemma-sft-v0.1", "model-index": [{"name": "zephyr-7b-gemma-dpo", "results": []}]} | chrlu/zephyr-7b-gemma-dpo | null | [
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"base_model:HuggingFaceH4/zephyr-7b-gemma-sft-v0.1",
"license:other",
"autotrain_compatible",
"endpoints... | null | 2024-04-26T23:13:38+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gemma #text-generation #alignment-handbook #trl #dpo #generated_from_trainer #conversational #dataset-argilla/dpo-mix-7k #base_model-HuggingFaceH4/zephyr-7b-gemma-sft-v0.1 #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| zephyr-7b-gemma-dpo
===================
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-gemma-sft-v0.1 on the argilla/dpo-mix-7k dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4567
* Rewards/chosen: -3.5881
* Rewards/rejected: -5.3433
* Rewards/accuracies: 0.7660
* Rewards... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-07\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\... | [
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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_H3K4me1-seqsight_4096_512_46M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](https... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_EMP_H3K4me1-seqsight_4096_512_46M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me1-seqsight_4096_512_46M-L8_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_46M",
"region:us"
] | null | 2024-04-26T23:14:02+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_EMP\_H3K4me1-seqsight\_4096\_512\_46M-L8\_f
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4950
* F1 Score: 0... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\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_EMP_H3K4me1-seqsight_4096_512_46M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_EMP_H3K4me1-seqsight_4096_512_46M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me1-seqsight_4096_512_46M-L32_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_46M",
"region:us"
] | null | 2024-04-26T23:14:23+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_EMP\_H3K4me1-seqsight\_4096\_512\_46M-L32\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5005
* F1 Score:... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\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_EMP_H3K36me3-seqsight_4096_512_46M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_EMP_H3K36me3-seqsight_4096_512_46M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K36me3-seqsight_4096_512_46M-L1_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_46M",
"region:us"
] | null | 2024-04-26T23:14:52+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_EMP\_H3K36me3-seqsight\_4096\_512\_46M-L1\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_EMP\_H3K36me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4355
* F1 Score... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
bloom-3b - bnb 4bits
- Model creator: https://huggingface.co/bigscience/
- Original model: https://huggingface.co/bigscience... | {} | RichardErkhov/bigscience_-_bloom-3b-4bits | null | [
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"region:us"
] | null | 2024-04-26T23:15:02+00:00 | [
"1909.08053",
"2110.02861",
"2108.12409"
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
bloom-3b - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: bigscience-bloom-rail-1.0
language:
* ak
* ar
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* bn
* ca
* code
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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. -->
# gemma-lima
This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the GAIR/lima data... | {"license": "gemma", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["GAIR/lima"], "base_model": "google/gemma-7b", "model-index": [{"name": "gemma-lima", "results": []}]} | pkarypis/gemma-lima | null | [
"transformers",
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"license:gemma",
"autotrain_compatible",
"endpoints_compatible",
"text-generation... | null | 2024-04-26T23:16:12+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gemma #text-generation #alignment-handbook #trl #sft #generated_from_trainer #conversational #dataset-GAIR/lima #base_model-google/gemma-7b #license-gemma #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| gemma-lima
==========
This model is a fine-tuned version of google/gemma-7b on the GAIR/lima dataset.
It achieves the following results on the evaluation set:
* Loss: 2.7259
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information n... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 16\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 128\... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
bloom-3b - bnb 8bits
- Model creator: https://huggingface.co/bigscience/
- Original model: https://huggingface.co/bigscience... | {} | RichardErkhov/bigscience_-_bloom-3b-8bits | null | [
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"arxiv:2110.02861",
"arxiv:2108.12409",
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"region:us"
] | null | 2024-04-26T23:17:43+00:00 | [
"1909.08053",
"2110.02861",
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
bloom-3b - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: bigscience-bloom-rail-1.0
language:
* ak
* ar
* as
* bm
* bn
* ca
* code
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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. -->
# ultra-feedback-dutch-cleaned-hq-spin-geitje-7b-ultra-sft_iter2
This model is a fine-tuned version of [davidberenstein1957/ultra-... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "base_model": "davidberenstein1957/ultra-feedback-dutch-cleaned-hq-spin-geitje-7b-ultra-sft_iter1", "model-index": [{"name": "ultra-feedback-dutch-cleaned-hq-spin-geitje-7b-ultra-sft_iter2", "results": []}]} | davidberenstein1957/ultra-feedback-dutch-cleaned-hq-spin-geitje-7b-ultra-sft_iter2 | null | [
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"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-infer... | null | 2024-04-26T23:17:45+00:00 | [] | [] | TAGS
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| ultra-feedback-dutch-cleaned-hq-spin-geitje-7b-ultra-sft\_iter2
===============================================================
This model is a fine-tuned version of davidberenstein1957/ultra-feedback-dutch-cleaned-hq-spin-geitje-7b-ultra-sft\_iter1 on the None dataset.
It achieves the following results on the evalua... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-07\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 64\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. -->
# CS505_COQE_viT5_train_Instruction0_ASPOL_v1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/Vie... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_ASPOL_v1", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_ASPOL_v1 | null | [
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"safetensors",
"t5",
"text2text-generation",
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"base_model:VietAI/vit5-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-26T23:21:17+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# CS505_COQE_viT5_train_Instruction0_ASPOL_v1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
"# CS505_COQE_viT5_train_Instruction0_ASPOL_v1\n\nThis model is a fine-tuned version of VietAI/vit5-large on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## T... | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #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. -->
# CS505_COQE_viT5_train_Instruction0_PSAOL_v1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/Vie... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_PSAOL_v1", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_PSAOL_v1 | null | [
"transformers",
"tensorboard",
"safetensors",
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"text2text-generation",
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"base_model:VietAI/vit5-large",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-26T23:21:19+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-VietAI/vit5-large #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# CS505_COQE_viT5_train_Instruction0_PSAOL_v1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
"# CS505_COQE_viT5_train_Instruction0_PSAOL_v1\n\nThis model is a fine-tuned version of VietAI/vit5-large on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## T... | [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
bloom-3b - GGUF
- Model creator: https://huggingface.co/bigscience/
- Original model: https://huggingface.co/bigscience/bloo... | {} | RichardErkhov/bigscience_-_bloom-3b-gguf | null | [
"gguf",
"arxiv:1909.08053",
"arxiv:2110.02861",
"arxiv:2108.12409",
"region:us"
] | null | 2024-04-26T23:21:42+00:00 | [
"1909.08053",
"2110.02861",
"2108.12409"
] | [] | TAGS
#gguf #arxiv-1909.08053 #arxiv-2110.02861 #arxiv-2108.12409 #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
bloom-3b - GGUF
* Model creator: URL
* Original model: URL
Name: bloom-3b.Q2\_K.gguf, Quant method: Q2\_K, Size: 1.52GB
Name: bloom-3b.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 1.68GB
Name: bloom-3b.IQ3\_S.gguf, Quant method: IQ3\_S, S... | [
"### Model Card\n\n\n\nVersion 1.0 / 26.May.2022\n\n\nTable of Contents\n-----------------\n\n\n1. Model Details\n2. Uses\n3. Training Data\n4. Risks and Limitations\n5. Evaluation\n6. Recommendations\n7. Glossary and Calculations\n8. More Information\n9. Model Card Authors\n\n\nModel Details\n--------... | [
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"### Model Card\n\n\n\nVersion 1.0 / 26.May.2022\n\n\nTable of Contents\n-----------------\n\n\n1. Model Details\n2. Uses\n3. Training Data\n4. Risks and Limitations\n5. Evaluation\n6. Recommendations\n7. Glossary and ... | [
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text-generation | transformers |
# Keiana-L3-Test6.1-8B-17
Keiana-L3-Test6.1-8B-17 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
# Keep in mind that, this merged model isn't usually tested at the moment, which could benefit in vocabulary error.
* [Kaoe... | {"tags": ["merge", "mergekit", "lazymergekit", "Kaoeiri/Keiana-L3-Test5.4-8B-10", "Kaoeiri/Keiana-L3-Test6-8B-16"], "base_model": ["Kaoeiri/Keiana-L3-Test5.4-8B-10", "Kaoeiri/Keiana-L3-Test6-8B-16"]} | Kaoeiri/Keiana-L3-Test6.1-8B-17 | null | [
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"base_model:Kaoeiri/Keiana-L3-Test6-8B-16",
"autotrain_compatibl... | null | 2024-04-26T23:22:43+00:00 | [] | [] | TAGS
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# Keiana-L3-Test6.1-8B-17
Keiana-L3-Test6.1-8B-17 is a merge of the following models using LazyMergekit:
# Keep in mind that, this merged model isn't usually tested at the moment, which could benefit in vocabulary error.
* Kaoeiri/Keiana-L3-Test5.4-8B-10
* Kaoeiri/Keiana-L3-Test6-8B-16
## Configuration
## Usag... | [
"# Keiana-L3-Test6.1-8B-17\n\nKeiana-L3-Test6.1-8B-17 is a merge of the following models using LazyMergekit:",
"# Keep in mind that, this merged model isn't usually tested at the moment, which could benefit in vocabulary error.\n* Kaoeiri/Keiana-L3-Test5.4-8B-10\n* Kaoeiri/Keiana-L3-Test6-8B-16",
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null | null |
### Murabito A
<!-- Provide a quick summary of what the model is/does. -->
---
- 1.5 models
- Most of these models were only shared between friends
- Models merged through MBW with quality in mind
---
| Color - A | Color - AA |
| :---: | :---: |
| <img src="Colorful/Color-A.png" width="300" /> | <img src="Color... | {"language": ["en"]} | BackMe/A-Surpising-gift-box | null | [
"en",
"region:us"
] | null | 2024-04-26T23:23:49+00:00 | [] | [
"en"
] | TAGS
#en #region-us
| ### Murabito A
---
* 1.5 models
* Most of these models were only shared between friends
* Models merged through MBW with quality in mind
---
---
Due to the 'age' of these models I've already lost all their past generations, I only managed to salvage a few preview from old gens I posted on a privat... | [
"### Murabito A\n\n\n\n\n---\n\n\n* 1.5 models\n* Most of these models were only shared between friends\n* Models merged through MBW with quality in mind\n\n\n\n\n---\n\n\n\n\n\n\n\n\n\n\n---\n\n\nDue to the 'age' of these models I've already lost all their past generations, I only managed to salvage a few preview ... | [
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"### Murabito A\n\n\n\n\n---\n\n\n* 1.5 models\n* Most of these models were only shared between friends\n* Models merged through MBW with quality in mind\n\n\n\n\n---\n\n\n\n\n\n\n\n\n\n\n---\n\n\nDue to the 'age' of these models I've already lost all their past generations, I only mana... | [
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reinforcement-learning | ml-agents |
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos**
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-Docum... | {"library_name": "ml-agents", "tags": ["SoccerTwos", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SoccerTwos"]} | ahforoughi/poca-SoccerTwos | null | [
"ml-agents",
"tensorboard",
"onnx",
"SoccerTwos",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SoccerTwos",
"region:us"
] | null | 2024-04-26T23:24:09+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #SoccerTwos #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SoccerTwos #region-us
|
# poca Agent playing SoccerTwos
This is a trained model of a poca agent playing SoccerTwos
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* ... | [
"# poca Agent playing SoccerTwos\n This is a trained model of a poca agent playing SoccerTwos\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short ... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Boya1_RMSProp_1-e5_10Epoch_swin-large-patch4-window7-224_fold4
This model is a fine-tuned version of [microsoft/swin-large-patch... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-large-patch4-window7-224", "model-index": [{"name": "Boya1_RMSProp_1-e5_10Epoch_swin-large-patch4-window7-224_fold4", "results": [{"task": {"type": "image-classification", "n... | onizukal/Boya1_RMSProp_1-e5_10Epoch_swin-large-patch4-window7-224_fold4 | null | [
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| Boya1\_RMSProp\_1-e5\_10Epoch\_swin-large-patch4-window7-224\_fold4
===================================================================
This model is a fine-tuned version of microsoft/swin-large-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1943
* ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio... | [
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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. -->
# experiemnts
This model is a fine-tuned version of [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "NousResearch/Meta-Llama-3-8B", "model-index": [{"name": "experiemnts", "results": []}]} | amarard/experiemnts | null | [
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"base_model:NousResearch/Meta-Llama-3-8B",
"license:other",
"region:us"
] | null | 2024-04-26T23:26:52+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-NousResearch/Meta-Llama-3-8B #license-other #region-us
|
# experiemnts
This model is a fine-tuned version of NousResearch/Meta-Llama-3-8B on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.6667
- eval_runtime: 85.9166
- eval_samples_per_second: 11.639
- eval_steps_per_second: 1.455
- epoch: 0.8005
- step: 5184
## Model descrip... | [
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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/v2ray/SchizoGPT-8x22B
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/SchizoGPT-8x22B-GGU... | {"language": ["en"], "license": "mit", "library_name": "transformers", "tags": ["not-for-all-audiences"], "datasets": ["v2ray/r-chatgpt-general-dump"], "base_model": "v2ray/SchizoGPT-8x22B", "quantized_by": "mradermacher"} | mradermacher/SchizoGPT-8x22B-i1-GGUF | null | [
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"license:mit",
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] | null | 2024-04-26T23:30:06+00:00 | [] | [
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#transformers #gguf #not-for-all-audiences #en #dataset-v2ray/r-chatgpt-general-dump #base_model-v2ray/SchizoGPT-8x22B #license-mit #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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] |
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_4096_512_46M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_EMP_H3K36me3-seqsight_4096_512_46M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K36me3-seqsight_4096_512_46M-L8_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_46M",
"region:us"
] | null | 2024-04-26T23:30:52+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_EMP\_H3K36me3-seqsight\_4096\_512\_46M-L8\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_EMP\_H3K36me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4365
* F1 Score... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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text-generation | transformers |
# 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": []} | sherrys/mistral-2-7b_qlora_falcon_426 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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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": []} | salangarica/llama3-LLM-k1 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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- Language(s) (NLP):
- License... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_4iters_bs256_nodpo_only4w_iter_2
This model is a fine-tuned version of [ShenaoZhang/0.001_4iters_bs256_nodpo_only4w_iter_1... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_4iters_bs256_nodpo_only4w_iter_1", "model-index": [{"name": "0.001_4iters_bs256_nodpo_only4w_iter_2", "results": []}]} | ShenaoZhang/0.001_4iters_bs256_nodpo_only4w_iter_2 | null | [
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# 0.001_4iters_bs256_nodpo_only4w_iter_2
This model is a fine-tuned version of ShenaoZhang/0.001_4iters_bs256_nodpo_only4w_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More i... | [
"# 0.001_4iters_bs256_nodpo_only4w_iter_2\n\nThis model is a fine-tuned version of ShenaoZhang/0.001_4iters_bs256_nodpo_only4w_iter_1 on the updated and the original datasets.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
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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. -->
# CS505_COQE_viT5_train_Instruction0_SAOPL_v1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/Vie... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_SAOPL_v1", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_SAOPL_v1 | null | [
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"region:us"
] | null | 2024-04-26T23:33:14+00:00 | [] | [] | TAGS
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|
# CS505_COQE_viT5_train_Instruction0_SAOPL_v1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
bloom-7b1 - bnb 4bits
- Model creator: https://huggingface.co/bigscience/
- Original model: https://huggingface.co/bigscienc... | {} | RichardErkhov/bigscience_-_bloom-7b1-4bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
bloom-7b1 - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: bigscience-bloom-rail-1.0
language:
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null | diffusers | # Salient Object Aware Background Generation [](https://arxiv.org/pdf/2404.10157.pdf)
This repository accompanies our paper, [Salient Object-Aware Background Generation using Text-Guided Diffusion Models](https://arxiv.org/abs/2404.10157), which has been accepted for publication in [CVPR 2024 ... | {"license": "apache-2.0", "tags": ["yahoo-open-source-software-incubator"]} | yahoo-inc/photo-background-generation | null | [
"diffusers",
"yahoo-open-source-software-incubator",
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#diffusers #yahoo-open-source-software-incubator #arxiv-2404.10157 #license-apache-2.0 #region-us
| Salient Object Aware Background Generation ![Paper](URL
=======================================================
This repository accompanies our paper, Salient Object-Aware Background Generation using Text-Guided Diffusion Models, which has been accepted for publication in CVPR 2024 Generative Models for Computer Visi... | [
"### Training\n\n\nThe following runs the training of text-to-image inpainting ControlNet initialized with the weights of \"stable-diffusion-2-inpainting\":\n\n\nThe following runs the training of text-to-image ControlNet initialized with the weights of \"stable-diffusion-2-base\":",
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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_4096_512_46M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](htt... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_EMP_H3K36me3-seqsight_4096_512_46M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K36me3-seqsight_4096_512_46M-L32_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_EMP\_H3K36me3-seqsight\_4096\_512\_46M-L32\_f
==================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_EMP\_H3K36me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4356
* F1 Sco... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\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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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. -->
# CS505_COQE_viT5_train_Instruction0_OASPL_v1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/Vie... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_OASPL_v1", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_OASPL_v1 | null | [
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"endpoints_compatible",
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"region:us"
] | null | 2024-04-26T23:37:37+00:00 | [] | [] | TAGS
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|
# CS505_COQE_viT5_train_Instruction0_OASPL_v1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
"# CS505_COQE_viT5_train_Instruction0_OASPL_v1\n\nThis model is a fine-tuned version of VietAI/vit5-large on the None dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## T... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
bloom-7b1 - bnb 8bits
- Model creator: https://huggingface.co/bigscience/
- Original model: https://huggingface.co/bigscienc... | {} | RichardErkhov/bigscience_-_bloom-7b1-8bits | null | [
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"region:us"
] | null | 2024-04-26T23:40:17+00:00 | [
"1909.08053",
"2110.02861",
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
bloom-7b1 - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: bigscience-bloom-rail-1.0
language:
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* as
* bm
* bn
* ca
* code
* en
* es
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* fon
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text-generation | transformers |
# Keiana-L3-Test6.2-8B-18
Keiana-L3-Test6.2-8B-18 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
# Keep in mind that, this merged model isn't usually tested at the moment, which could benefit in vocabulary error.
* [Kaoe... | {"tags": ["merge", "mergekit", "lazymergekit", "Kaoeiri/Keiana-L3-Test5.4-8B-10", "Kaoeiri/Keiana-L3-Test4.7-8B-3", "Kaoeiri/Keiana-L3-Test6-8B-16"], "base_model": ["Kaoeiri/Keiana-L3-Test5.4-8B-10", "Kaoeiri/Keiana-L3-Test4.7-8B-3", "Kaoeiri/Keiana-L3-Test6-8B-16"]} | Kaoeiri/Keiana-L3-Test6.2-8B-18 | null | [
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"base_model:Kaoeiri/Keiana-L3-... | null | 2024-04-26T23:41:53+00:00 | [] | [] | TAGS
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# Keiana-L3-Test6.2-8B-18
Keiana-L3-Test6.2-8B-18 is a merge of the following models using LazyMergekit:
# Keep in mind that, this merged model isn't usually tested at the moment, which could benefit in vocabulary error.
* Kaoeiri/Keiana-L3-Test5.4-8B-10
* Kaoeiri/Keiana-L3-Test4.7-8B-3
* Kaoeiri/Keiana-L3-Test6-8B-... | [
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null | null |
# DavidAU/DeepSeek-Coder-Instruct-8x1.3b-Q8_0-GGUF
This model was converted to GGUF format from [`SanjiWatsuki/DeepSeek-Coder-Instruct-8x1.3b`](https://huggingface.co/SanjiWatsuki/DeepSeek-Coder-Instruct-8x1.3b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "llama-cpp", "gguf-my-repo"]} | DavidAU/DeepSeek-Coder-Instruct-8x1.3b-Q8_0-GGUF | null | [
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"license:apache-2.0",
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#gguf #merge #mergekit #lazymergekit #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# DavidAU/DeepSeek-Coder-Instruct-8x1.3b-Q8_0-GGUF
This model was converted to GGUF format from 'SanjiWatsuki/DeepSeek-Coder-Instruct-8x1.3b' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or... | [
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null | peft |
<!-- 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_4096_512_46M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_mouse_0-seqsight_4096_512_46M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_0-seqsight_4096_512_46M-L8_f | null | [
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] | null | 2024-04-26T23:43:42+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_mouse\_0-seqsight\_4096\_512\_46M-L8\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_mouse\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6438
* F1 Score: 0.7366
* Accu... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\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_0-seqsight_4096_512_46M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_mouse_0-seqsight_4096_512_46M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_0-seqsight_4096_512_46M-L1_f | null | [
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"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_46M",
"region:us"
] | null | 2024-04-26T23:43:42+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_mouse\_0-seqsight\_4096\_512\_46M-L1\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_mouse\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5946
* F1 Score: 0.7442
* Accu... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\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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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | himanshubeniwal/mt5-large-finetuned-kk-to-en-idiot-Indian | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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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. -->
# Meta-Llama-3-8B-Instruct_fictional_Spanish_v1
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https:... | {"license": "other", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Meta-Llama-3-8B-Instruct_fictional_Spanish_v1", "results": []}]} | yzhuang/Meta-Llama-3-8B-Instruct_fictional_Spanish_v1 | null | [
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|
# Meta-Llama-3-8B-Instruct_fictional_Spanish_v1
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Tr... | [
"# Meta-Llama-3-8B-Instruct_fictional_Spanish_v1\n\nThis model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.",
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null | transformers |
# Uploaded model
- **Developed by:** sjonas50
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | sjonas50/lora_model | null | [
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|
# Uploaded model
- Developed by: sjonas50
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
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<img src="URL width="200"/>
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
bloom-7b1 - GGUF
- Model creator: https://huggingface.co/bigscience/
- Original model: https://huggingface.co/bigscience/blo... | {} | RichardErkhov/bigscience_-_bloom-7b1-gguf | null | [
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#gguf #arxiv-1909.08053 #arxiv-2110.02861 #arxiv-2108.12409 #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
bloom-7b1 - GGUF
* Model creator: URL
* Original model: URL
Name: bloom-7b1.Q2\_K.gguf, Quant method: Q2\_K, Size: 3.2GB
Name: bloom-7b1.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 3.56GB
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text-generation | transformers | # IceCoffeeRP-7b *(IceCoffeeTest11)*
## Merge Details
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
Prompt template: Alpaca, maybe ChatML
* measurement.json for quanting exl2 included.
- [4.2bpw-exl2](https://huggingface.co/icefog72/IceCoffeeRP-7b-4.2bp... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge", "alpaca", "mistral", "not-for-all-audiences", "nsfw"], "model-index": [{"name": "IceCoffeeTest11", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)... | icefog72/IceCoffeeRP-7b | null | [
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| IceCoffeeRP-7b *(IceCoffeeTest11)*
==================================
Merge Details
-------------
This is a merge of pre-trained language models created using mergekit.
Prompt template: Alpaca, maybe ChatML
* URL for quanting exl2 included.
* 4.2bpw-exl2
* 6.5bpw-exl2
* 8bpw-exl2
### Merge Method
This model... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"license": "apache-2.0", "library_name": "peft", "base_model": "google/gemma-2b-it"} | azarafrooz/gemma-2b-nlaf-v0 | null | [
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# Model Card for Model ID
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text-generation | transformers | # ExperimentV2 AKA NerdySamanthaV2 (Mistral v0.1 & Samantha v1.2 & Speechless Code Mistral v1.0 7B)
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 [Model Stock](https://arxiv.org/abs/2403.19... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["cognitivecomputations/samantha-1.2-mistral-7b", "mistralai/Mistral-7B-v0.1", "uukuguy/speechless-code-mistral-7b-v1.0"]} | TitleOS/ExperimentTwo | null | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the Model Stock merge method using mistralai/Mistral-7B-v0.1 as a base.
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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. -->
# CS505_COQE_viT5_train_Instruction0_POSAL_v1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/Vie... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_POSAL_v1", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_POSAL_v1 | null | [
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|
# CS505_COQE_viT5_train_Instruction0_POSAL_v1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
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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. -->
# CS505_COQE_viT5_train_Instruction0_AOSPL_v1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/Vie... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_AOSPL_v1", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_AOSPL_v1 | null | [
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|
# CS505_COQE_viT5_train_Instruction0_AOSPL_v1
This model is a fine-tuned version of VietAI/vit5-large 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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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-01", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Pixelcopter-PLE-v0", "type": "Pixelcopter... | stuvx/Reinforce-pixelcopter-01 | null | [
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#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
| [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-7b-nli_cot
This model is a fine-tuned version of [TheBloke/Mistral-7B-v0.1-GPTQ](https://huggingface.co/TheBloke/Mistral... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-v0.1-GPTQ", "model-index": [{"name": "mistral-7b-nli_cot", "results": []}]} | jd0g/Mistral-7B-NLI-v0.2 | null | [
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| mistral-7b-nli\_cot
===================
This model is a fine-tuned version of TheBloke/Mistral-7B-v0.1-GPTQ on the None dataset.
It achieves the following results on the evaluation set:
* Loss: nan
Model description
-----------------
More information needed
Intended uses & limitations
------------------------... | [
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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": []} | devesh220897/financial-chatbot-for-young-adults-2 | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_1-seqsight_4096_512_46M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_mouse_1-seqsight_4096_512_46M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_1-seqsight_4096_512_46M-L1_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_mouse\_1-seqsight\_4096\_512\_46M-L1\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_mouse\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2318
* F1 Score: 0.9005
* 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_mouse_0-seqsight_4096_512_46M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](https://... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_mouse_0-seqsight_4096_512_46M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_0-seqsight_4096_512_46M-L32_f | null | [
"peft",
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] | null | 2024-04-26T23:58:30+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_mouse\_0-seqsight\_4096\_512\_46M-L32\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_mouse\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0763
* F1 Score: 0.7320
* Ac... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\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_1-seqsight_4096_512_46M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_mouse_1-seqsight_4096_512_46M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_1-seqsight_4096_512_46M-L8_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_mouse\_1-seqsight\_4096\_512\_46M-L8\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_mouse\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2283
* F1 Score: 0.9020
* Accu... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\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_1-seqsight_4096_512_46M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](https://... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_mouse_1-seqsight_4096_512_46M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_1-seqsight_4096_512_46M-L32_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_mouse\_1-seqsight\_4096\_512\_46M-L32\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_mouse\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2268
* F1 Score: 0.9004
* Ac... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_4-seqsight_4096_512_46M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_mouse_4-seqsight_4096_512_46M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_4-seqsight_4096_512_46M-L1_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_mouse\_4-seqsight\_4096\_512\_46M-L1\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_mouse\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5830
* F1 Score: 0.7079
* Accu... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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text-generation | transformers |
# 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": []} | qworksadmin/llama2c1 | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# 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": []} | devesh220897/financial-chatbot-for-young-adults-3 | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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. -->
# CS505_COQE_viT5_train_Instruction0_OAPSL_v1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/Vie... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_OAPSL_v1", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_OAPSL_v1 | null | [
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|
# CS505_COQE_viT5_train_Instruction0_OAPSL_v1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
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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": []} | EinsZwo/nlid_mlm_ACTUALLY_mixed_supertagging | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# GUE_mouse_4-seqsight_4096_512_46M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_mouse_4-seqsight_4096_512_46M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_4-seqsight_4096_512_46M-L8_f | null | [
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"region:us"
] | null | 2024-04-27T00:13:25+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_mouse\_4-seqsight\_4096\_512\_46M-L8\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_mouse\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6116
* F1 Score: 0.7254
* Accu... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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text-generation | transformers |
# miqu-evil-dpo
# **Model Details**
## Description
miqu-evil-dpo is fine-tuned model based on miqu, serving as a direct successor to PiVoT-0.1-Evil-a.
It is trained with evil-tune method applied.
<!-- prompt-template start -->
## Prompt template: Mistral Inst
```
<s> [INST] {inst} [... | {"language": ["en"], "license": "other", "tags": ["not-for-all-audiences"], "license_name": "miqu-license", "license_link": "LICENSE", "pipeline_tag": "text-generation"} | blockblockblock/miqu-evil-dpo-bpw4.4-exl2 | null | [
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|
# miqu-evil-dpo
# Model Details
## Description
miqu-evil-dpo is fine-tuned model based on miqu, serving as a direct successor to PiVoT-0.1-Evil-a.
It is trained with evil-tune method applied.
!image/png
## Prompt template: Mistral Inst
## Disclaimer
The AI model provided herein is intended for experimental... | [
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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_4096_512_46M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](https://... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_mouse_4-seqsight_4096_512_46M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_4-seqsight_4096_512_46M-L32_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_mouse\_4-seqsight\_4096\_512\_46M-L32\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_mouse\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6484
* F1 Score: 0.7164
* Ac... | [
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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_4096_512_46M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_mouse_3-seqsight_4096_512_46M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_3-seqsight_4096_512_46M-L1_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_mouse\_3-seqsight\_4096\_512\_46M-L1\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_mouse\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3795
* F1 Score: 0.8324
* Accu... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\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_4096_512_46M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_mouse_3-seqsight_4096_512_46M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_3-seqsight_4096_512_46M-L8_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_mouse\_3-seqsight\_4096\_512\_46M-L8\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_mouse\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1289
* F1 Score: 0.8494
* Accu... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\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_4096_512_46M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](https://... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_mouse_3-seqsight_4096_512_46M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_3-seqsight_4096_512_46M-L32_f | null | [
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"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_mouse\_3-seqsight\_4096\_512\_46M-L32\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_mouse\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6905
* F1 Score: 0.8535
* Ac... | [
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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_4096_512_46M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_mouse_2-seqsight_4096_512_46M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_2-seqsight_4096_512_46M-L1_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_mouse\_2-seqsight\_4096\_512\_46M-L1\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_mouse\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4825
* F1 Score: 0.9085
* Accu... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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text-generation | transformers | ## Welcome to Miqu Cat: A 70B Miqu Lora Fine-Tune
Introducing **Miqu Cat**, an advanced model fine-tuned by Dr. Kal'tsit then quanted for the the ExllamaV2 project, bringing the model down to an impressive 4.8 bits per weight (bpw). This fine-tuning allows those with limited computational resources to explore its capa... | {"language": ["en"], "tags": ["miqu", "70b model", "cat", "miqu cat"], "pipeline_tag": "text-generation"} | PotatoOff/MQ-Catsu-70b-4.8bpw | null | [
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| ## Welcome to Miqu Cat: A 70B Miqu Lora Fine-Tune
Introducing Miqu Cat, an advanced model fine-tuned by Dr. Kal'tsit then quanted for the the ExllamaV2 project, bringing the model down to an impressive 4.8 bits per weight (bpw). This fine-tuning allows those with limited computational resources to explore its capabili... | [
"## Welcome to Miqu Cat: A 70B Miqu Lora Fine-Tune\n\nIntroducing Miqu Cat, an advanced model fine-tuned by Dr. Kal'tsit then quanted for the the ExllamaV2 project, bringing the model down to an impressive 4.8 bits per weight (bpw). This fine-tuning allows those with limited computational resources to explore its c... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505_COQE_viT5_train_Instruction0_POASL_v1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/Vie... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_POASL_v1", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_POASL_v1 | null | [
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|
# CS505_COQE_viT5_train_Instruction0_POASL_v1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
"# CS505_COQE_viT5_train_Instruction0_POASL_v1\n\nThis model is a fine-tuned version of VietAI/vit5-large on the None dataset.",
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505_COQE_viT5_train_Instruction0_AOPSL_v1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/Vie... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_AOPSL_v1", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_AOPSL_v1 | null | [
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|
# CS505_COQE_viT5_train_Instruction0_AOPSL_v1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
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text-generation | transformers |
# Model Card for Model ID
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text-generation | transformers |
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | 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_4096_512_46M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_mouse_2-seqsight_4096_512_46M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_2-seqsight_4096_512_46M-L8_f | null | [
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| GUE\_mouse\_2-seqsight\_4096\_512\_46M-L8\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_mouse\_2 dataset.
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* Loss: 0.2926
* F1 Score: 0.8933
* 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_mouse_2-seqsight_4096_512_46M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_46M](https://... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_46M", "model-index": [{"name": "GUE_mouse_2-seqsight_4096_512_46M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_2-seqsight_4096_512_46M-L32_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_46M #region-us
| GUE\_mouse\_2-seqsight\_4096\_512\_46M-L32\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_46M on the mahdibaghbanzadeh/GUE\_mouse\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7497
* F1 Score: 0.9116
* Ac... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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text-generation | transformers |
# flammen21X-mistral-7B
A Mistral 7B LLM built from merging pretrained models and finetuning on [flammenai/Prude-Phi3-DPO](https://huggingface.co/datasets/flammenai/Prude-Phi3-DPO).
Flammen specializes in exceptional c... | {"license": "apache-2.0", "library_name": "transformers", "tags": ["nsfw", "not-for-all-audiences"], "datasets": ["ResplendentAI/NSFW_RP_Format_NoQuote", "flammenai/Prude-Phi3-DPO"], "base_model": ["flammenai/flammen21-mistral-7B"]} | flammenai/flammen21X-mistral-7B | null | [
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"license:apache-2.0",
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... | null | 2024-04-27T00:28:06+00:00 | [] | [] | TAGS
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|
!image/png
# flammen21X-mistral-7B
A Mistral 7B LLM built from merging pretrained models and finetuning on flammenai/Prude-Phi3-DPO.
Flammen specializes in exceptional character roleplay, creative writing, and general intelligence.
### Method
Finetuned using an L4 on Google Colab.
Fine-tune a Mistral-7b model wi... | [
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