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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/LS_Llama-2-7b-hf_adapters_en.layer1_NoQuant_16_32_0.05_8_5e-05 | 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": []} | cilantro9246/faxebch | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# rloo_zephyr_vllm11
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
##... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "rloo_zephyr_vllm11", "results": []}]} | vwxyzjn/rloo_zephyr_vllm11 | null | [
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# rloo_zephyr_vllm11
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
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null | transformers |
# Uploaded model
- **Developed by:** animaRegem
- **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/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | animaRegem/llama-3-lora-01-malayalam | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": ["unsloth"]} | animaRegem/llama-3-lora-01-malayalam-tokenizer | null | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# segformer-b0-scene-parse-150
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the ... | {"license": "other", "tags": ["generated_from_trainer"], "datasets": ["scene_parse_150"], "base_model": "nvidia/mit-b0", "model-index": [{"name": "segformer-b0-scene-parse-150", "results": []}]} | ChayawatP/segformer-b0-scene-parse-150 | null | [
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# segformer-b0-scene-parse-150
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_prom_prom_300_tata-seqsight_65536_512_47M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_4... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_prom_prom_300_tata-seqsight_65536_512_47M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_tata-seqsight_65536_512_47M-L8_f | null | [
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| GUE\_prom\_prom\_300\_tata-seqsight\_65536\_512\_47M-L8\_f
==========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_tata dataset.
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... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_prom_prom_300_tata-seqsight_65536_512_47M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_prom_prom_300_tata-seqsight_65536_512_47M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_tata-seqsight_65536_512_47M-L32_f | null | [
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| GUE\_prom\_prom\_300\_tata-seqsight\_65536\_512\_47M-L32\_f
===========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_tata dataset.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_prom_prom_300_notata-seqsight_65536_512_47M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_prom_prom_300_notata-seqsight_65536_512_47M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_notata-seqsight_65536_512_47M-L1_f | null | [
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============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_notata dataset.
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null | null | Based on Meta-Llama-3-8b-Instruct, and is governed by Meta Llama 3 License agreement:
https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct
DPO fine tuning method using the following datasets:
- https://huggingface.co/datasets/Intel/orca_dpo_pairs
- https://huggingface.co/datasets/argilla/distilabel-math-prefere... | {"license": "llama3"} | AwanLLM/Awanllm-Llama-3-8B-Instruct-DPO-v0.1-GGUF | null | [
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| Based on Meta-Llama-3-8b-Instruct, and is governed by Meta Llama 3 License agreement:
URL
DPO fine tuning method using the following datasets:
- URL
- URL
- URL
- URL
- URL
We are happy for anyone to try it out and give some feedback and we will have the model up on URL on our LLM API if it is popular.
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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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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# GUE_prom_prom_300_notata-seqsight_65536_512_47M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_51... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_prom_prom_300_notata-seqsight_65536_512_47M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_notata-seqsight_65536_512_47M-L32_f | null | [
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=============================================================
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# GUE_prom_prom_300_notata-seqsight_65536_512_47M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_prom_prom_300_notata-seqsight_65536_512_47M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_notata-seqsight_65536_512_47M-L8_f | null | [
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# falcon7binstruct_mentalhealthmodel_oct23
This model is a fine-tuned version of [vilsonrodrigues/falcon-7b-instruct-sharded... | {"license": "apache-2.0", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "vilsonrodrigues/falcon-7b-instruct-sharded", "model-index": [{"name": "falcon7binstruct_mentalhealthmodel_oct23", "results": []}]} | KingMidas89/falcon7binstruct_mentalhealthmodel_oct23 | null | [
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More information needed
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# Uploaded model
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null | transformers |
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["unsloth"]} | mayukhbis/llama3-gguf | null | [
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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. -->
# gptneo-TxtToJson-v0.3.1
This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/EleutherAI/gpt-ne... | {"license": "mit", "tags": ["generated_from_trainer"], "model-index": [{"name": "gptneo-TxtToJson-v0.3.1", "results": []}]} | AhmedTaha012/gptneo-TxtToJson-v0.3.1 | null | [
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| gptneo-TxtToJson-v0.3.1
=======================
This model is a fine-tuned version of EleutherAI/gpt-neo-125m on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1921
Model description
-----------------
More information needed
Intended uses & limitations
-------------------... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** waylandzhang
- **License:** apache-2.0
- **Finetuned from model :** Llama-3-8b-Chinese-Novel-4bit-lesson-v2
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/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "Llama-3-8b-Chinese-Novel-4bit-lesson-v2"} | waylandzhang/Llama-3-8b-Chinese-Novel-4bit-lesson-v2 | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | golf2248/9x70bu1 | null | [
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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_prom_prom_core_all-seqsight_65536_512_47M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_4... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_prom_prom_core_all-seqsight_65536_512_47M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_all-seqsight_65536_512_47M-L1_f | null | [
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| GUE\_prom\_prom\_core\_all-seqsight\_65536\_512\_47M-L1\_f
==========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_all dataset.
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... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_prom_prom_core_all-seqsight_65536_512_47M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_4... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_prom_prom_core_all-seqsight_65536_512_47M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_all-seqsight_65536_512_47M-L8_f | null | [
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| GUE\_prom\_prom\_core\_all-seqsight\_65536\_512\_47M-L8\_f
==========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_all dataset.
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... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_prom_prom_core_all-seqsight_65536_512_47M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_prom_prom_core_all-seqsight_65536_512_47M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_all-seqsight_65536_512_47M-L32_f | null | [
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| GUE\_prom\_prom\_core\_all-seqsight\_65536\_512\_47M-L32\_f
===========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_all dataset.
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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": []} | quangtqv/cross_encoder_tool_learning_v1 | null | [
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# GUE_prom_prom_core_notata-seqsight_65536_512_47M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_51... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_prom_prom_core_notata-seqsight_65536_512_47M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_notata-seqsight_65536_512_47M-L1_f | null | [
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=============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_notata dataset.
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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": []} | golf2248/0tx35ru | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | GamblerOnTrain/SVVRT-056 | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_prom_prom_core_notata-seqsight_65536_512_47M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_51... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_prom_prom_core_notata-seqsight_65536_512_47M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_notata-seqsight_65536_512_47M-L8_f | null | [
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| GUE\_prom\_prom\_core\_notata-seqsight\_65536\_512\_47M-L8\_f
=============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_notata dataset.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_prom_prom_core_notata-seqsight_65536_512_47M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_5... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_prom_prom_core_notata-seqsight_65536_512_47M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_notata-seqsight_65536_512_47M-L32_f | null | [
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| GUE\_prom\_prom\_core\_notata-seqsight\_65536\_512\_47M-L32\_f
==============================================================
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | fmshahata/phi-moe-alt_2exp | null | [
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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_prom_prom_core_tata-seqsight_65536_512_47M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_prom_prom_core_tata-seqsight_65536_512_47M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_tata-seqsight_65536_512_47M-L1_f | null | [
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| GUE\_prom\_prom\_core\_tata-seqsight\_65536\_512\_47M-L1\_f
===========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_tata dataset.
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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": []} | iimran/gemmaanalyser | 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-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. -->
# Prototipo_4_EMI
This model is a fine-tuned version of [dccuchile/distilbert-base-spanish-uncased](https://huggingface.co/dccuchi... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "dccuchile/distilbert-base-spanish-uncased", "model-index": [{"name": "Prototipo_4_EMI", "results": []}]} | Armandodelca/Prototipo_4_EMI | null | [
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| Prototipo\_4\_EMI
=================
This model is a fine-tuned version of dccuchile/distilbert-base-spanish-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0406
* Accuracy: 0.5567
Model description
-----------------
More information needed
Intended uses & limi... | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - nghiatran00932/corgy_dog_LoRA
<Gallery />
## Model description
These are nghiatran00932/corgy_... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a photo of TOK dog", "wi... | nghiatran00932/corgy_dog_LoRA | null | [
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"license:openrail++",
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|
# SDXL LoRA DreamBooth - nghiatran00932/corgy_dog_LoRA
<Gallery />
## Model description
These are nghiatran00932/corgy_dog_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for 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. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0", "model-index": [{"name": "data/llama-1B-20240502-0131", "results": []}]} | lu-vae/llama-1.1B-fft | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
llama-1.1B-fft
==============
This model is a full parameter fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the SFT dataset for two epoches.
It has a substantial improvement over several... | [
"### 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: 2\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 64\n*... | [
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text-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.12401879578828812
f1: 0.9685289508238384
precision: 0.9893561786085151
recall: 0.9485605243507841
auc: 0.9904075461390904
accuracy: 0.9672355249812585
| {"tags": ["autotrain", "text-classification"], "datasets": ["autotrain-V2-Proedge-New-2/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | purpleor/autotrain-V2-Proedge-New-2 | null | [
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|
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.12401879578828812
f1: 0.9685289508238384
precision: 0.9893561786085151
recall: 0.9485605243507841
auc: 0.9904075461390904
accuracy: 0.9672355249812585
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_prom_prom_core_tata-seqsight_65536_512_47M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_prom_prom_core_tata-seqsight_65536_512_47M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_tata-seqsight_65536_512_47M-L8_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_prom\_prom\_core\_tata-seqsight\_65536\_512\_47M-L8\_f
===========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_tata dataset.
It achieves the following results on the evaluation se... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 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 | null |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Mo... | {"license": "mit"} | RobertLeichtveis/ModelOne | null | [
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# Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
## Model Details
### Model Description
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_prom_prom_core_tata-seqsight_65536_512_47M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_prom_prom_core_tata-seqsight_65536_512_47M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_core_tata-seqsight_65536_512_47M-L32_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_prom\_prom\_core\_tata-seqsight\_65536\_512\_47M-L32\_f
============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_prom\_prom\_core\_tata dataset.
It achieves the following results on the evaluation ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 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-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-160m_niki-041a_imdb_random-token-1280_10-rounds_seed-2
This model is a fine-tuned version of [EleutherAI/pythi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m", "model-index": [{"name": "robust_llm_pythia-160m_niki-041a_imdb_random-token-1280_10-rounds_seed-2", "results": []}]} | AlignmentResearch/robust_llm_pythia-160m_niki-041a_imdb_random-token-1280_10-rounds_seed-2 | null | [
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|
# robust_llm_pythia-160m_niki-041a_imdb_random-token-1280_10-rounds_seed-2
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information ne... | [
"# robust_llm_pythia-160m_niki-041a_imdb_random-token-1280_10-rounds_seed-2\n\nThis model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.",
"## Model description\n\nMore information needed",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_prom_prom_300_all-seqsight_65536_512_47M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_prom_prom_300_all-seqsight_65536_512_47M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_all-seqsight_65536_512_47M-L1_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_65536_512_47M",
"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_prom\_prom\_300\_all-seqsight\_65536\_512\_47M-L1\_f
=========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_all dataset.
It achieves the following results on the evaluation set:
*... | [
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question-answering | transformers |
## Introduction
This TinyLlama1.1B model is finetuned from the base model. The goal is to finetune the model to make it suitable for RAG applications.
The base models often perform poor on user query generating out of context response. There are also the problem of hallucination in LLMs.
It refers to the case when LL... | {"language": ["en"], "license": "mit", "library_name": "transformers", "pipeline_tag": "question-answering"} | muntasir2179/TinyLlama-1.1B-rag-finetuned-v1.0 | null | [
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|
## Introduction
This TinyLlama1.1B model is finetuned from the base model. The goal is to finetune the model to make it suitable for RAG applications.
The base models often perform poor on user query generating out of context response. There are also the problem of hallucination in LLMs.
It refers to the case when LL... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_prom_prom_300_all-seqsight_65536_512_47M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_prom_prom_300_all-seqsight_65536_512_47M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_all-seqsight_65536_512_47M-L8_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_prom\_prom\_300\_all-seqsight\_65536\_512\_47M-L8\_f
=========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_all dataset.
It achieves the following results on the evaluation set:
*... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_EMP_H3K14ac-seqsight_65536_512_47M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](htt... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_EMP_H3K14ac-seqsight_65536_512_47M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K14ac-seqsight_65536_512_47M-L1_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_EMP\_H3K14ac-seqsight\_65536\_512\_47M-L1\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_EMP\_H3K14ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5178
* F1 Score... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_prom_prom_300_all-seqsight_65536_512_47M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_4... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_prom_prom_300_all-seqsight_65536_512_47M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_all-seqsight_65536_512_47M-L32_f | null | [
"peft",
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_prom\_prom\_300\_all-seqsight\_65536\_512\_47M-L32\_f
==========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_all dataset.
It achieves the following results on the evaluation set:
... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_EMP_H3K14ac-seqsight_65536_512_47M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](htt... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_EMP_H3K14ac-seqsight_65536_512_47M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K14ac-seqsight_65536_512_47M-L8_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_EMP\_H3K14ac-seqsight\_65536\_512\_47M-L8\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_EMP\_H3K14ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5070
* F1 Score... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_EMP_H3K14ac-seqsight_65536_512_47M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](ht... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_EMP_H3K14ac-seqsight_65536_512_47M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K14ac-seqsight_65536_512_47M-L32_f | null | [
"peft",
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_EMP\_H3K14ac-seqsight\_65536\_512\_47M-L32\_f
==================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_EMP\_H3K14ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5053
* F1 Sco... | [
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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": []} | cilantro9246/av4ccn4 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
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- Model type:
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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. -->
# prompt_fine_tuned_CB_bert
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-be... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "prompt_fine_tuned_CB_bert", "results": []}]} | tjasad/prompt_fine_tuned_CB_bert | null | [
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|
# prompt_fine_tuned_CB_bert
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3050
- Accuracy: 0.3182
- F1: 0.1536
## Model description
More information needed
## Intended uses & limitations
More informat... | [
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text-generation | transformers | # bunnycore/Cognitron-8B AWQ
- Model creator: [bunnycore](https://huggingface.co/bunnycore)
- Original model: [Cognitron-8B](https://huggingface.co/bunnycore/Cognitron-8B)
## How to use
### Install the necessary packages
```bash
pip install --upgrade autoawq autoawq-kernels
```
### Example Python code
```python... | {"library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/Cognitron-8B-AWQ | null | [
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| # bunnycore/Cognitron-8B AWQ
- Model creator: bunnycore
- Original model: Cognitron-8B
## How to use
### Install the necessary packages
### Example Python code
### About AWQ
AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization. Compared t... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | JamesKim/mistral-7b-qlora-alpaca-sample-0.5k | 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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- License... | [
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text-generation | transformers | # bunnycore/LuminariX-8B AWQ
- Model creator: [bunnycore](https://huggingface.co/bunnycore)
- Original model: [LuminariX-8B](https://huggingface.co/bunnycore/LuminariX-8B)
## How to use
### Install the necessary packages
```bash
pip install --upgrade autoawq autoawq-kernels
```
### Example Python code
```python... | {"library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/LuminariX-8B-AWQ | null | [
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| # bunnycore/LuminariX-8B AWQ
- Model creator: bunnycore
- Original model: LuminariX-8B
## How to use
### Install the necessary packages
### Example Python code
### About AWQ
AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization. Compared t... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ferrazzipietro/LS_Llama-2-7b-hf_adapters_en.layer1_NoQuant_16_32_0.01_4_5e-05 | null | [
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# Model Card for Model ID
## Model Details
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text-generation | transformers | # jsfs11/Llama-3-RPMerge-8B-SLERP AWQ
- Model creator: [jsfs11](https://huggingface.co/jsfs11)
- Original model: [Llama-3-RPMerge-8B-SLERP](https://huggingface.co/jsfs11/Llama-3-RPMerge-8B-SLERP)
## How to use
### Install the necessary packages
```bash
pip install --upgrade autoawq autoawq-kernels
```
### Exampl... | {"library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/Llama-3-RPMerge-8B-SLERP-AWQ | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"4-bit",
"AWQ",
"autotrain_compatible",
"endpoints_compatible",
"conversational",
"text-generation-inference",
"region:us"
] | null | 2024-05-03T15:37:55+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #conversational #text-generation-inference #region-us
| # jsfs11/Llama-3-RPMerge-8B-SLERP AWQ
- Model creator: jsfs11
- Original model: Llama-3-RPMerge-8B-SLERP
## How to use
### Install the necessary packages
### Example Python code
### About AWQ
AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quanti... | [
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null | transformers |
# Training CLI
`Epoch = 0, Global Step = 1000`
```bash
python pretrain_our.py \
--accelerator "gpu"\
--strategy "ddp" \
--num-gpus 2 \
--train-datapath "/workspace/data/instructions/train/" \
--val-datapath "/workspace/data/instructions/val/" \
--images "/workspace/data/images" \
--output... | {"library_name": "transformers", "tags": []} | chart-rela-ins/pretrain-small-our-data-512 | null | [
"transformers",
"safetensors",
"Chart-rela-instruct",
"endpoints_compatible",
"region:us"
] | null | 2024-05-03T15:38:00+00:00 | [] | [] | TAGS
#transformers #safetensors #Chart-rela-instruct #endpoints_compatible #region-us
|
# Training CLI
'Epoch = 0, Global Step = 1000'
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null | null |
# newsletter/dolphin-2.7-mixtral-8x7b-Q6_K-GGUF
This model was converted to GGUF format from [`cognitivecomputations/dolphin-2.7-mixtral-8x7b`](https://huggingface.co/cognitivecomputations/dolphin-2.7-mixtral-8x7b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) sp... | {"language": ["en"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["cognitivecomputations/dolphin", "jondurbin/airoboros-2.2.1", "cognitivecomputations/dolphin-coder", "teknium/openhermes", "ise-uiuc/Magicoder-OSS-Instruct-75K", "ise-uiuc/Magicoder-Evol-Instruct-110K", "LDJnr/Capybara"]} | newsletter/dolphin-2.7-mixtral-8x7b-Q6_K-GGUF | null | [
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"dataset:ise-uiuc/Magicoder-OSS-Instruct-75K",
"dataset:ise-uiuc/Magicoder-Evol-Instruct-110K",
"d... | null | 2024-05-03T15:38:18+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #dataset-cognitivecomputations/dolphin #dataset-jondurbin/airoboros-2.2.1 #dataset-cognitivecomputations/dolphin-coder #dataset-teknium/openhermes #dataset-ise-uiuc/Magicoder-OSS-Instruct-75K #dataset-ise-uiuc/Magicoder-Evol-Instruct-110K #dataset-LDJnr/Capybara #license-apache-2... |
# newsletter/dolphin-2.7-mixtral-8x7b-Q6_K-GGUF
This model was converted to GGUF format from 'cognitivecomputations/dolphin-2.7-mixtral-8x7b' 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 | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["trl", "sft"]} | xandykati98/tobias-0.0.7 | null | [
"transformers",
"safetensors",
"trl",
"sft",
"arxiv:1910.09700",
"endpoints_compatible",
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #trl #sft #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_EMP_H3K4me2-seqsight_65536_512_47M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](htt... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_EMP_H3K4me2-seqsight_65536_512_47M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me2-seqsight_65536_512_47M-L1_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_65536_512_47M",
"region:us"
] | null | 2024-05-03T15:38:43+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_EMP\_H3K4me2-seqsight\_65536\_512\_47M-L1\_f
=================================================
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It achieves the following results on the evaluation set:
* Loss: 0.5990
* F1 Score... | [
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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": []} | golf2248/hb6rskh | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-03T15:39:37+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_EMP_H3K4me2-seqsight_65536_512_47M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](htt... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_EMP_H3K4me2-seqsight_65536_512_47M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me2-seqsight_65536_512_47M-L8_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
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"region:us"
] | null | 2024-05-03T15:39:47+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_EMP\_H3K4me2-seqsight\_65536\_512\_47M-L8\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5989
* 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_H3K4me2-seqsight_65536_512_47M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](ht... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_EMP_H3K4me2-seqsight_65536_512_47M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me2-seqsight_65536_512_47M-L32_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_65536_512_47M",
"region:us"
] | null | 2024-05-03T15:39:47+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_EMP\_H3K4me2-seqsight\_65536\_512\_47M-L32\_f
==================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6070
* 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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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | jonnynd/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-05-03T15:40:22+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
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": []} | theGhoul21/srl-sft-kto-030524-16bit-v0.1 | null | [
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"safetensors",
"mistral",
"text-generation",
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"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-03T15:41:18+00:00 | [
"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_EMP_H3K9ac-seqsight_65536_512_47M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_EMP_H3K9ac-seqsight_65536_512_47M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K9ac-seqsight_65536_512_47M-L1_f | null | [
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| GUE\_EMP\_H3K9ac-seqsight\_65536\_512\_47M-L1\_f
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_EMP\_H3K9ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5102
* F1 Score: 0... | [
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... | [
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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": []} | golf2248/sncka7l | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# 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": []} | suthawadee/demo_receipt_th_B | null | [
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token-classification | transformers | This is a NER model meant to be used to detect/extract citations from American legal documents.
Ignore the widget on the model card page; see below for usage.
## How to Use the Model
This model outputs token-level predictions, which should be processed as follows to obtain meaningful labels for each token:
```pyth... | {"license": "mit"} | ss108/legal-citation-bert | null | [
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| This is a NER model meant to be used to detect/extract citations from American legal documents.
Ignore the widget on the model card page; see below for usage.
## How to Use the Model
This model outputs token-level predictions, which should be processed as follows to obtain meaningful labels for each token:
'''pyth... | [
"## How to Use the Model\n\nThis model outputs token-level predictions, which should be processed as follows to obtain meaningful labels for each token:\n\n'''python\nfrom transformers import AutoTokenizer, AutoModelForTokenClassification\nimport torch\n\ntokenizer = AutoTokenizer.from_pretrained(\"ss108/legal-cita... | [
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object-detection | null | # Face Detection using YOLOv9
This model was fine tuned on a dataset of over 2390 images containing human heads. The model was fine tuned for 100 epochs with a batch size of 32 on a 2 NVIDIA T4 16GB GPU, it took around 47 minutes for the fine tuning to complete.
## Downstream Tasks
- __Head Detection__: This model c... | {"license": "agpl-3.0", "tags": ["object-detection", "pytorch", "roboflow-universe", "pickle", "face-detection"], "library": "ultralytics"} | Konthee/YOLOv9-Head-Detection | null | [
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#object-detection #pytorch #roboflow-universe #pickle #face-detection #license-agpl-3.0 #region-us
| # Face Detection using YOLOv9
This model was fine tuned on a dataset of over 2390 images containing human heads. The model was fine tuned for 100 epochs with a batch size of 32 on a 2 NVIDIA T4 16GB GPU, it took around 47 minutes for the fine tuning to complete.
## Downstream Tasks
- __Head Detection__: This model c... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_wnut_model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-unc... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "my_awesome_wnut_model", "results": []}]} | clboetticher/my_awesome_wnut_model | null | [
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#transformers #tensorboard #safetensors #distilbert #token-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| my\_awesome\_wnut\_model
========================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2743
* Precision: 0.5663
* Recall: 0.3049
* F1: 0.3964
* Accuracy: 0.9419
Model description
-----------------
... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_EMP_H3K9ac-seqsight_65536_512_47M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_EMP_H3K9ac-seqsight_65536_512_47M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K9ac-seqsight_65536_512_47M-L8_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_EMP\_H3K9ac-seqsight\_65536\_512\_47M-L8\_f
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_EMP\_H3K9ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4852
* 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_H3K9ac-seqsight_65536_512_47M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](htt... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_EMP_H3K9ac-seqsight_65536_512_47M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K9ac-seqsight_65536_512_47M-L32_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_EMP\_H3K9ac-seqsight\_65536\_512\_47M-L32\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_EMP\_H3K9ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4848
* F1 Score:... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-1b_mz-133_EnronSpam_n-its-10-seed-4
This model is a fine-tuned version of [EleutherAI/pythia-1b](https://huggi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-1b", "model-index": [{"name": "robust_llm_pythia-1b_mz-133_EnronSpam_n-its-10-seed-4", "results": []}]} | AlignmentResearch/robust_llm_pythia-1b_mz-133_EnronSpam_n-its-10-seed-4 | null | [
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] | null | 2024-05-03T15:47:58+00:00 | [] | [] | TAGS
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|
# robust_llm_pythia-1b_mz-133_EnronSpam_n-its-10-seed-4
This model is a fine-tuned version of EleutherAI/pythia-1b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pro... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | psykick21/distilbert-base-uncased-finetuned-lora-text-classification | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
- Model type:
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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. -->
# distilbert-base-uncased-lora-text-classification
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](http... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-lora-text-classification", "results": []}]} | psykick21/distilbert-base-uncased-lora-text-classification | null | [
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================================================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset.
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* Accuracy: {'accuracy': 0.86}
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null | transformers |
# Uploaded model
- **Developed by:** rvian
- **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/mai... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | rvian/gguf-lora-llama3-midjourney-prompt-generator | null | [
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# Uploaded model
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text-generation | transformers |
# Uploaded model
- **Developed by:** Vishwaksen
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-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/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | Vishwaksen/llama-3-CounterServer | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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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)
llama-2-ko-7b - bnb 4bits
- Model creator: https://huggingface.co/beomi/
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
llama-2-ko-7b - bnb 4bits
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Original model description:
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text-to-image | diffusers | This is a Diffusers-compatible version of [Yiffymix v43 by chilon249](https://civitai.com/models/3671?modelVersionId=453692).
See the original page for more information.
| {"license": "apache-2.0"} | IDK-ab0ut/newversion | null | [
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sentence-similarity | sentence-transformers |
# CarlosMorales/HateSpeechDetector
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this mod... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | CarlosMorales/HateSpeechDetector | null | [
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# CarlosMorales/HateSpeechDetector
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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)
OpenCerebrum-1.0-7b-SFT - bnb 4bits
- Model creator: https://huggingface.co/Locutusque/
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
OpenCerebrum-1.0-7b-SFT - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
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fill-mask | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Uploaded model
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text-classification | transformers |
This model is a finetuned version of [```google-bert/bert-base-multilingual-cased```](https://huggingface.co/google-bert/bert-base-multilingual-cased) model in the **Bengali** and **Hindi** languages.
The dataset used is a Kaggle Dataset - [Modified-hate-speech-bengali-hindi](https://www.kaggle.com/datasets/abirmonda... | {"language": ["bn", "hi"], "license": "apache-2.0", "pipeline_tag": "text-classification"} | abirmondalind/bert-base-multilingual-cased-hate-speech-ben-hin | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-05-03T15:55:21+00:00 | [] | [
"bn",
"hi"
] | TAGS
#transformers #safetensors #bert #text-classification #bn #hi #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
This model is a finetuned version of [](URL model in the Bengali and Hindi languages.
The dataset used is a Kaggle Dataset - Modified-hate-speech-bengali-hindi
This model can classify Bengali and Hindi texts into the following 5 classes:
- text
- defamation
- hate
- non-hate
- violence
- vulgar | [] | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_EMP_H3K4me3-seqsight_65536_512_47M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](htt... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_EMP_H3K4me3-seqsight_65536_512_47M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me3-seqsight_65536_512_47M-L1_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_65536_512_47M",
"region:us"
] | null | 2024-05-03T15:55:48+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_EMP\_H3K4me3-seqsight\_65536\_512\_47M-L1\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6114
* 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_H3K4me3-seqsight_65536_512_47M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](ht... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_EMP_H3K4me3-seqsight_65536_512_47M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me3-seqsight_65536_512_47M-L32_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_65536_512_47M",
"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_EMP\_H3K4me3-seqsight\_65536\_512\_47M-L32\_f
==================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6663
* 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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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_EMP_H3K4me3-seqsight_65536_512_47M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](htt... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_EMP_H3K4me3-seqsight_65536_512_47M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me3-seqsight_65536_512_47M-L8_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_65536_512_47M",
"region:us"
] | null | 2024-05-03T15:56:15+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_EMP\_H3K4me3-seqsight\_65536\_512\_47M-L8\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6128
* 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 | # flammenai/flammen-mistral-7B AWQ
- Model creator: [flammenai](https://huggingface.co/flammenai)
- Original model: [flammen-mistral-7B](https://huggingface.co/flammenai/flammen-mistral-7B)
## How to use
### Install the necessary packages
```bash
pip install --upgrade autoawq autoawq-kernels
```
### Example Pyth... | {"library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/flammen-mistral-7B-AWQ | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"4-bit",
"AWQ",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-03T16:00:19+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # flammenai/flammen-mistral-7B AWQ
- Model creator: flammenai
- Original model: flammen-mistral-7B
## How to use
### Install the necessary packages
### Example Python code
### About AWQ
AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, currently supporting 4-bit quantization... | [
"# flammenai/flammen-mistral-7B AWQ\n\n- Model creator: flammenai\n- Original model: flammen-mistral-7B",
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# idefics2-8b-docvqa-finetuned-tutorial
This model is a fine-tuned version of [HuggingFaceM4/idefics2-8b](https://huggingface.co/H... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "HuggingFaceM4/idefics2-8b", "model-index": [{"name": "idefics2-8b-docvqa-finetuned-tutorial", "results": []}]} | Aricher13/idefics2-8b-docvqa-finetuned-tutorial | null | [
"safetensors",
"generated_from_trainer",
"base_model:HuggingFaceM4/idefics2-8b",
"license:apache-2.0",
"region:us"
] | null | 2024-05-03T16:00:34+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-HuggingFaceM4/idefics2-8b #license-apache-2.0 #region-us
|
# idefics2-8b-docvqa-finetuned-tutorial
This model is a fine-tuned version of HuggingFaceM4/idefics2-8b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
###... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_EMP_H4-seqsight_65536_512_47M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https://... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_EMP_H4-seqsight_65536_512_47M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4-seqsight_65536_512_47M-L1_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_65536_512_47M",
"region:us"
] | null | 2024-05-03T16:00:35+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_EMP\_H4-seqsight\_65536\_512\_47M-L1\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_EMP\_H4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2770
* F1 Score: 0.8912
* 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. -->
# lora_fine_tuned_cb
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "lora_fine_tuned_cb", "results": []}]} | lenatr99/lora_fine_tuned_cb | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:google-bert/bert-base-uncased",
"license:apache-2.0",
"region:us"
] | null | 2024-05-03T16:00:37+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-google-bert/bert-base-uncased #license-apache-2.0 #region-us
| lora\_fine\_tuned\_cb
=====================
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4089
* Accuracy: 0.3182
* F1: 0.1536
Model description
-----------------
More information needed
Intended us... | [
"### 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* training\\_steps: 400",
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text-generation | transformers | # cognitivecomputations/dolphin-2.9-llama3-8b-1m AWQ
- Model creator: [cognitivecomputations](https://huggingface.co/cognitivecomputations)
- Original model: [dolphin-2.9-llama3-8b-1m](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b-1m)
## How to use
### Install the necessary packages
```bash
p... | {"library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/dolphin-2.9-llama3-8b-1m-AWQ | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"4-bit",
"AWQ",
"autotrain_compatible",
"endpoints_compatible",
"conversational",
"text-generation-inference",
"region:us"
] | null | 2024-05-03T16:01:32+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #4-bit #AWQ #autotrain_compatible #endpoints_compatible #conversational #text-generation-inference #region-us
| # cognitivecomputations/dolphin-2.9-llama3-8b-1m AWQ
- Model creator: cognitivecomputations
- Original model: dolphin-2.9-llama3-8b-1m
## How to use
### Install the necessary packages
### Example Python code
### About AWQ
AWQ is an efficient, accurate and blazing-fast low-bit weight quantization method, cur... | [
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"### Install the necessary packages",
"### Example Python code",
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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)
llama-2-ko-7b - bnb 8bits
- Model creator: https://huggingface.co/beomi/
- Original model: https://huggingface.co/beomi/llam... | {} | RichardErkhov/beomi_-_llama-2-ko-7b-8bits | null | [
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"safetensors",
"llama",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-05-03T16:02:42+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
llama-2-ko-7b - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language:
* en
* ko
pipeline\_tag: text-generation
inference: false
tags:
* facebook
* meta
* pytorch
* lla... | [
"### NSMC (Acc) - 50000 full test\n\n\nTBD",
"### COPA (F1)\n\n\n",
"### HellaSwag (F1)\n\n\n",
"### BoolQ (F1)\n\n\n",
"### SentiNeg (F1)\n\n\n\n\nNote for oobabooga/text-generation-webui\n----------------------------------------\n\n\nRemove 'ValueError' at 'load\\_tokenizer... | [
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"### COPA (F1)\n\n\n",
"### HellaSwag (F1)\n\n\n",
"### BoolQ (F1)\n\n\n",
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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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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# 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": []} | mehdisebai/CodeQwen-text-to-rule | null | [
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## Model Details
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