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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... | {"license": "apache-2.0", "library_name": "transformers", "basemodel": "Qwen/Qwen1.5-7B"} | YeungNLP/firefly-qwen1.5-en-7b-test-v1 | null | [
"transformers",
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"qwen2",
"text-generation",
"conversational",
"arxiv:1910.09700",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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"1910.09700"
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#transformers #safetensors #qwen2 #text-generation #conversational #arxiv-1910.09700 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"TAGS\n#transformers #safetensors #qwen2 #text-generation #conversational #arxiv-1910.09700 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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null | transformers |
# jeiku/Kei_Llama3_8B-Q4_K_M-GGUF
This model was converted to GGUF format from [`ResplendentAI/Kei_Llama3_8B`](https://huggingface.co/ResplendentAI/Kei_Llama3_8B) 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://hugg... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "base_model": ["jeiku/Chaos_RP_l3_8B", "ResplendentAI/BlueMoon_Llama3", "jeiku/Chaos_RP_l3_8B", "ResplendentAI/Luna_Llama3", "jeiku/Chaos_RP_l3_8B", "ResplendentAI/Aura_Llama3", "Undi95/Llama-3-Unholy-8B... | jeiku/Kei_Llama3_8B-Q4_K_M-GGUF | null | [
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"gguf-my-repo",
"en",
"base_model:jeiku/Chaos_RP_l3_8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T05:11:42+00:00 | [] | [
"en"
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#transformers #gguf #llama-cpp #gguf-my-repo #en #base_model-jeiku/Chaos_RP_l3_8B #license-apache-2.0 #endpoints_compatible #region-us
|
# jeiku/Kei_Llama3_8B-Q4_K_M-GGUF
This model was converted to GGUF format from 'ResplendentAI/Kei_Llama3_8B' 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:
Not... | [
"# jeiku/Kei_Llama3_8B-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'ResplendentAI/Kei_Llama3_8B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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"# jeiku/Kei_Llama3_8B-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'ResplendentAI/Kei_Llama3_8B' using URL via the URL's GGUF-my-repo space.\nRefer to th... | [
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"TAGS\n#transformers #gguf #llama-cpp #gguf-my-repo #en #base_model-jeiku/Chaos_RP_l3_8B #license-apache-2.0 #endpoints_compatible #region-us \n# jeiku/Kei_Llama3_8B-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'ResplendentAI/Kei_Llama3_8B' using URL via the URL's GGUF-my-repo space.\nRefer to the orig... |
text-generation | transformers |
<img src="omnia.jpg" alt="drawing" style="width:512px;"/>
<!-- description start -->
# Omnia 2x7B
## Description
This repository hosts **Omnia-2x7B**, an advanced Japanese language model specifically trained for generating novels. Omnia is designed to excel in creating engaging and captivating content while main... | {"language": ["ja"], "license": "cc-by-nc-4.0", "tags": ["japanese", "text-generation-inference"]} | Elizezen/Omnia-2x7B | null | [
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"mixtral",
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"japanese",
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"ja",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #safetensors #mixtral #text-generation #japanese #text-generation-inference #ja #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #region-us
| 
Omnia 2x7B
==========
Description
-----------
This repository hosts Omnia-2x7B, an advanced Japanese language model specifically trained for generating novels. Omnia is designed to excel in creating engaging and captivating content while maintaining context and complexity in its responses.
In exte... | [
"### Complexity\n\n\nEvaluates the model's ability to produce non-repetitive responses. Higher scores indicate more diverse and less repetitive text, calculated using zlib.compress, which I find effective at detecting significantly repetitive texts.",
"### Context Maintenance\n\n\nAssesses how well the model main... | [
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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"]} | AlekHesa/testing-llama2-v7 | null | [
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"1910.09700"
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#transformers #safetensors #llama #text-generation #trl #sft #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #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. -->
# ApecGPT-LoRA-v2
This model is a fine-tuned version of [vinai/PhoGPT-4B-Chat](https://huggingface.co/vinai/PhoGPT-4B-Chat) on the... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "vinai/PhoGPT-4B-Chat", "model-index": [{"name": "ApecGPT-LoRA-v2", "results": []}]} | KhaiQuang/ApecGPT-LoRA-v2 | null | [
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|
# ApecGPT-LoRA-v2
This model is a fine-tuned version of vinai/PhoGPT-4B-Chat on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
Th... | [
"# ApecGPT-LoRA-v2\n\nThis model is a fine-tuned version of vinai/PhoGPT-4B-Chat on the None dataset.",
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"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"##... | [
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text-generation | transformers |
# Model Card for Mistral-7B-Instruct-v0.2
The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an improved instruct fine-tuned version of [Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1).
For full details of this model please read our [paper](https://arxiv.org/abs/2310.0682... | {"license": "apache-2.0", "tags": ["finetuned"], "pipeline_tag": "text-generation", "inference": false} | PIXMELT/Mistral-7B-Instruct-v0.2 | null | [
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"arxiv:2310.06825",
"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-23T05:16:53+00:00 | [
"2310.06825"
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#transformers #pytorch #safetensors #mistral #text-generation #finetuned #conversational #arxiv-2310.06825 #license-apache-2.0 #autotrain_compatible #text-generation-inference #region-us
|
# Model Card for Mistral-7B-Instruct-v0.2
The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an improved instruct fine-tuned version of Mistral-7B-Instruct-v0.1.
For full details of this model please read our paper and release blog post.
## Instruction format
In order to leverage instruction fine-tuning, y... | [
"# Model Card for Mistral-7B-Instruct-v0.2\n\nThe Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an improved instruct fine-tuned version of Mistral-7B-Instruct-v0.1.\n\nFor full details of this model please read our paper and release blog post.",
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summarization | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mt5-small-finetuned-mt5-small-v2
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-smal... | {"license": "apache-2.0", "tags": ["summarization", "generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/mt5-small", "model-index": [{"name": "mt5-small-finetuned-mt5-small-v2", "results": []}]} | petchbks01/mt5-small-finetuned-mt5-small-v2 | null | [
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| mt5-small-finetuned-mt5-small-v2
================================
This model is a fine-tuned version of google/mt5-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.3614
* Rouge1: 0.1151
* Rouge2: 0.0251
* Rougel: 0.1143
* Rougelsum: 0.1144
Model description
-----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5.6e-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: 16",
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null | null | import ZAmino.fix
c=ZAminofix.Client()
print(c.login("z20518906@gmail.com","ya12345")) | {} | zoom973/test | null | [
"region:us"
] | null | 2024-04-23T05:19:17+00:00 | [] | [] | TAGS
#region-us
| import URL
c=ZAminofix.Client()
print(c.login("z20518906@URL","ya12345")) | [] | [
"TAGS\n#region-us \n"
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"license": "other", "library_name": "transformers"} | spow12/kosolar_4.1_sft | null | [
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"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-23T05:22:31+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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text-generation | transformers |
Large Language Models (LLMs) are good with code generations. Sometimes LLMs do make mistakes in code generation. How about if they can give detailed explanation along with the code.
This is what I have tried over here. The base Llama-3-8B model was used for training purpose. It is trained on around 23000+ set of cod... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["code"], "datasets": ["ajibawa-2023/Python-Code-23k-ShareGPT"], "license_link": "LICENSE", "base_model": "meta-llama/Meta-Llama-3-8B"} | Markhit/CodeLlama3-8B-Python | null | [
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|
Large Language Models (LLMs) are good with code generations. Sometimes LLMs do make mistakes in code generation. How about if they can give detailed explanation along with the code.
This is what I have tried over here. The base Llama-3-8B model was used for training purpose. It is trained on around 23000+ set of cod... | [] | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-de-fr
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-robert... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-de-fr", "results": []}]} | RosePasta/xlm-roberta-base-finetuned-panx-de-fr | null | [
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| xlm-roberta-base-finetuned-panx-de-fr
=====================================
This model is a fine-tuned version of xlm-roberta-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1639
* F1: 0.8591
Model description
-----------------
More information needed
Intended uses... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 24\n* eval\\_batch\\_size: 24\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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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": []} | team-sanai/unigram_4cat_32000 | 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 |
# 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]
- **Shared by [optional]:** [More Information Needed]
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_Epistemic_tiny_0.6_Seed104 | null | [
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# Model Card for Model ID
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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. -->
# 0.01_ablation_4iters_bs256_nodpo_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggin... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.01_ablation_4iters_bs256_nodpo_iter_1", "results": []}]} | ShenaoZ/0.01_ablation_4iters_bs256_nodpo_iter_1 | null | [
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|
# 0.01_ablation_4iters_bs256_nodpo_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information neede... | [
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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. -->
# model_bert_7000_32
This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base-v2) o... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "albert/albert-base-v2", "model-index": [{"name": "model_bert_7000_32", "results": []}]} | KalaiselvanD/model_bert_7000_32 | null | [
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| model\_bert\_7000\_32
=====================
This model is a fine-tuned version of albert/albert-base-v2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0215
* Accuracy: 1.0
Model description
-----------------
More information needed
Intended uses & limitations
---------... | [
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multiple-choice | 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_copa_model
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "my_awesome_copa_model", "results": []}]} | Ariffiq99/my_awesome_copa_model | null | [
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| my\_awesome\_copa\_model
========================
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5437
* Accuracy: 0.762
Model description
-----------------
More information needed
Intended uses & limitations
---... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [NousResearch/Meta-Llama-3-8B-Instruct](http... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["NousResearch/Meta-Llama-3-8B-Instruct", "cognitivecomputations/dolphin-2.8-mistral-7b-v02"]} | mergekit-community/mergekit-slerp-ojqhjfr | null | [
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"text-generation-inference",
"r... | null | 2024-04-23T05:33:16+00:00 | [] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* NousResearch/Meta-Llama-3-8B-Instruct
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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. -->
# gpt2-Therapy1
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
## Model descrip... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "gpt2-Therapy1", "results": []}]} | eeshakrishna2002/gpt2-Therapy1 | null | [
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|
# gpt2-Therapy1
This model is a fine-tuned version of gpt2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hype... | [
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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"]} | dickdiss/phi-2_qlora_consumer | null | [
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"arxiv: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.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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null | transformers |
# Uploaded model
- **Developed by:** coloteong
- **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"} | coloteong/finetuned_discharge_model_larger_gpu | null | [
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|
# Uploaded model
- Developed by: coloteong
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | null |
<div align="center">
<b style="font-size: 40px;">LLAMA-3_8B_Unaligned</b>
</div>
<img src="https://i.imgur.com/pPBto45.png" alt="LLAMA-3_Unaligned" style="width: 50%; min-width: 400px; display: block; margin: auto;">
# Model instruction template:
# ChatML
```
<|im_start|>system
You are an uncensored AI, your ... | {"language": ["en"], "license": "apache-2.0"} | SicariusSicariiStuff/LLAMA-3_8B_Unaligned | null | [
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] | TAGS
#en #license-apache-2.0 #region-us
|
<div align="center">
<b style="font-size: 40px;">LLAMA-3_8B_Unaligned</b>
</div>
<img src="https://i.URL alt="LLAMA-3_Unaligned" style="width: 50%; min-width: 400px; display: block; margin: auto;">
# Model instruction template:
# ChatML
# Model Details
TO BE UPDATED SOON
## LLAMA-3_Unaligned is available a... | [
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text-generation | transformers |
## WiNGPT2
[WiNGPT](https://github.com/winninghealth/WiNGPT2) 是一个基于GPT的医疗垂直领域大模型，旨在将专业的医学知识、医疗信息、数据融会贯通，为医疗行业提供智能化的医疗问答、诊断支持和医学知识等信息服务，提高诊疗效率和医疗服务质量。
## 更新日志
[2024/04/23] 更新 WiNGPT2-Llama-3-8B-Base 模型（中文增强/多语言）与测评结果
[2024/04/01] 更新 WiNEval 测评结果
[2024/03/05] 开源7B/14B-Chat-4bit模型权重: [🤗](https://huggingface.co/winn... | {"language": ["en", "zh"], "license": "apache-2.0", "tags": ["medical"]} | winninghealth/WiNGPT2-Llama-3-8B-Base | null | [
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"region:us"
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"en",
"zh"
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#transformers #safetensors #llama #text-generation #medical #en #zh #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| WiNGPT2
-------
WiNGPT 是一个基于GPT的医疗垂直领域大模型，旨在将专业的医学知识、医疗信息、数据融会贯通，为医疗行业提供智能化的医疗问答、诊断支持和医学知识等信息服务，提高诊疗效率和医疗服务质量。
更新日志
----
[2024/04/23] 更新 WiNGPT2-Llama-3-8B-Base 模型（中文增强/多语言）与测评结果
[2024/04/01] 更新 WiNEval 测评结果
[2024/03/05] 开源7B/14B-Chat-4bit模型权重: WiNGPT2-7B-Chat-4bit和WiNGPT2-14B-Chat-4bit。
[2023/12/20] 新增用户微信... | [
"### 推理",
"### 提示\n\n\nWiNGPT-Llama-3-8B-Chat 使用了自定义的提示格式：\n\n\n用户角色：System/User/Assistant\n\n\nchat\\_template:\n\n\n指令提示示例：\n\n\n多轮对话示例：\n\n\n翻译功能示例：\n\n\n模型卡\n---",
"#### 训练配置与参数",
"#### 训练数据\n\n\n预训练数据约20G，指令微调对齐数据约50万条，详细内容 。\n\n\n中文医疗评测 - WiNEval\n----------------\n\n\n更新时间：2024-04-23\n\n\n\n*MCKQuiz（客观... | [
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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. -->
# work_dirs
This model is a fine-tuned version of [internlm/internlm-7b](https://huggingface.co/internlm/internlm-7b) on an unknow... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "internlm/internlm-7b", "model-index": [{"name": "work_dirs", "results": []}]} | ashishpatel26/internlm7b | null | [
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"tensorboard",
"safetensors",
"generated_from_trainer",
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"region:us"
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-internlm/internlm-7b #region-us
|
# work_dirs
This model is a fine-tuned version of internlm/internlm-7b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The fo... | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xlm-roberta-base-finetuned-panx-fr
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-b... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-fr", "results": []}]} | RosePasta/xlm-roberta-base-finetuned-panx-fr | null | [
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"xlm-roberta",
"token-classification",
"generated_from_trainer",
"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T05:40:21+00:00 | [] | [] | TAGS
#transformers #safetensors #xlm-roberta #token-classification #generated_from_trainer #base_model-xlm-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| xlm-roberta-base-finetuned-panx-fr
==================================
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2974
* F1: 0.8454
Model description
-----------------
More information needed
Intended uses & l... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
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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_ablation_4iters_bs256_nodpo_iter_3
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_4iters_bs256_nodpo_iter_2... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_4iters_bs256_nodpo_iter_2", "model-index": [{"name": "0.001_ablation_4iters_bs256_nodpo_iter_3", "results": []}]} | ShenaoZ/0.001_ablation_4iters_bs256_nodpo_iter_3 | null | [
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"license:mit",
"autotrain_compatible",
"endpo... | null | 2024-04-23T05:41:42+00:00 | [] | [] | TAGS
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|
# 0.001_ablation_4iters_bs256_nodpo_iter_3
This model is a fine-tuned version of ShenaoZ/0.001_ablation_4iters_bs256_nodpo_iter_2 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_ablation_4iters_bs256_nodpo_iter_3\n\nThis model is a fine-tuned version of ShenaoZ/0.001_ablation_4iters_bs256_nodpo_iter_2 on the updated and the original datasets.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/UnicomLLM/Unichat-llama3-Chinese-8B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "UnicomLLM/Unichat-llama3-Chinese-8B", "quantized_by": "mradermacher"} | mradermacher/Unichat-llama3-Chinese-8B-GGUF | null | [
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"en",
"base_model:UnicomLLM/Unichat-llama3-Chinese-8B",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T05:44:50+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-UnicomLLM/Unichat-llama3-Chinese-8B #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
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. -->
# ApecGPT-LoRA-v3
This model is a fine-tuned version of [vinai/PhoGPT-4B-Chat](https://huggingface.co/vinai/PhoGPT-4B-Chat) on the... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "vinai/PhoGPT-4B-Chat", "model-index": [{"name": "ApecGPT-LoRA-v3", "results": []}]} | KhaiQuang/ApecGPT-LoRA-v3 | null | [
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"tensorboard",
"safetensors",
"mpt",
"trl",
"sft",
"generated_from_trainer",
"custom_code",
"base_model:vinai/PhoGPT-4B-Chat",
"region:us"
] | null | 2024-04-23T05:45:14+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #mpt #trl #sft #generated_from_trainer #custom_code #base_model-vinai/PhoGPT-4B-Chat #region-us
|
# ApecGPT-LoRA-v3
This model is a fine-tuned version of vinai/PhoGPT-4B-Chat on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
Th... | [
"# ApecGPT-LoRA-v3\n\nThis model is a fine-tuned version of vinai/PhoGPT-4B-Chat on the None dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"##... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/dumbo-llamalfg4 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-23T05:45:33+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... | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tc-mb/MiniCPM-V-2-int8 | null | [
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"1910.09700"
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#transformers #safetensors #minicpmv #feature-extraction #custom_code #arxiv-1910.09700 #8-bit #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]:
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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. -->
# gpt2-Therapy2
This model is a fine-tuned version of [gorkemgoknar/gpt2chatbotenglish](https://huggingface.co/gorkemgoknar/gpt2ch... | {"license": "cc-by-4.0", "tags": ["generated_from_trainer"], "base_model": "gorkemgoknar/gpt2chatbotenglish", "model-index": [{"name": "gpt2-Therapy2", "results": []}]} | eeshakrishna2002/gpt2-Therapy2 | null | [
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"gpt2",
"text-generation",
"generated_from_trainer",
"base_model:gorkemgoknar/gpt2chatbotenglish",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
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] | null | 2024-04-23T05:46:44+00:00 | [] | [] | TAGS
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|
# gpt2-Therapy2
This model is a fine-tuned version of gorkemgoknar/gpt2chatbotenglish 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 hyperpar... | [
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null | null | Cos'è Farmacin Prezzo?
Farmacin Recensioni è un integratore di sciroppo liquido appositamente formulato realizzato per colpire vari tipi di infezioni parassitarie che possono colpire il corpo. Le infezioni parassitarie possono portare a una serie di sintomi, tra cui problemi digestivi, affaticamento e carenze nutrizio... | {"license": "apache-2.0"} | FarmacinItaly/FarmacinItaly | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-23T05:47:35+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| Cos'è Farmacin Prezzo?
Farmacin Recensioni è un integratore di sciroppo liquido appositamente formulato realizzato per colpire vari tipi di infezioni parassitarie che possono colpire il corpo. Le infezioni parassitarie possono portare a una serie di sintomi, tra cui problemi digestivi, affaticamento e carenze nutrizio... | [] | [
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text-generation | transformers |
dpo test, trained on unalignment/toxic-dpo-v0.2 for an epoch
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀... | {"license": "apache-2.0", "tags": ["not-for-all-audiences"], "datasets": ["unalignment/toxic-dpo-v0.2"]} | bababababooey/llama-3-8b-instruct-toxic | null | [
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|
dpo test, trained on unalignment/toxic-dpo-v0.2 for an epoch
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀... | [] | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/raincandy-u/Llama-3-Aplite-Instruct-4x8B
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "moe", "code"], "base_model": "raincandy-u/Llama-3-Aplite-Instruct-4x8B", "license_link": "LICENSE", "license_name": "llama3", "quantized_by": "mradermacher"} | mradermacher/Llama-3-Aplite-Instruct-4x8B-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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] |
text-generation | transformers |
# Boundary-Coder-Yi-2x9B-MoE
Boundary-Coder-Yi-2x9B-MoE is a Mixture of Experts (MoE) made with the following models:
* [01-ai/Yi-9B-200K](https://huggingface.co/01-ai/Yi-9B-200K)
* [TechxGenus/Yi-9B-Coder](https://huggingface.co/TechxGenus/Yi-9B-Coder)
## 🧩 Configuration
```yaml
base_model: 01-ai/Yi-9B-200K
gate_... | {"license": "apache-2.0", "tags": ["moe", "merge", "mergekit", "01-ai/Yi-9B-200K", "TechxGenus/Yi-9B-Coder"], "base_model": ["01-ai/Yi-9B-200K", "TechxGenus/Yi-9B-Coder"]} | NotAiLOL/Boundary-Coder-Yi-2x9B-MoE | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generatio... | null | 2024-04-23T05:55:23+00:00 | [] | [] | TAGS
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|
# Boundary-Coder-Yi-2x9B-MoE
Boundary-Coder-Yi-2x9B-MoE is a Mixture of Experts (MoE) made with the following models:
* 01-ai/Yi-9B-200K
* TechxGenus/Yi-9B-Coder
## Configuration
## Usage
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text-classification | transformers | ## Unlocking the Power of Deep Learning for Clause Classification: Revolutionizing Commercial Applications
In the dynamic landscape of commercial operations, efficiency and accuracy in document processing are paramount. Traditional methods of analyzing legal clauses and contracts have often been time-consuming and pro... | {"language": ["en"], "license": "apache-2.0", "datasets": ["theatticusproject/cuad"], "metrics": ["accuracy"], "pipeline_tag": "text-classification", "widget": [{"text": "This Agreement shall be governed by and construed and enforced in accordance with the laws of the State of California and the laws of Hong Kong", "... | mauro/bert-base-uncased-finetuned-clause-type | null | [
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text-to-audio | 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. -->
# SpeechT5 TTS Uzbek
This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts)... | {"language": ["uz"], "license": "mit", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "base_model": "microsoft/speecht5_tts", "model-index": [{"name": "SpeechT5 TTS Uzbek", "results": []}]} | mrmuminov/speecht5_tts_common_voice_uz | null | [
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"uz"
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| SpeechT5 TTS Uzbek
==================
This model is a fine-tuned version of microsoft/speecht5\_tts on the Common Voice dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5253
Model description
-----------------
More information needed
Intended uses & limitations
---------------------... | [
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text-generation | transformers |
# Updates:
- 🔥 We provide the official FP16 GGUF version of Llama3-8B-Chinese-Chat in [shenzhi-wang/Llama3-8B-Chinese-Chat-GGUF-fp16](https://huggingface.co/shenzhi-wang/Llama3-8B-Chinese-Chat-GGUF-fp16)!
- 🔥 We provide the official 8bit-quantized GGUF version of Llama3-8B-Chinese-Chat in [shenzhi-wang/Llama3-8B-Chi... | {"language": ["en", "zh"], "license": "other", "library_name": "transformers", "tags": ["llama-factory", "orpo"], "datasets": ["hiyouga/DPO-En-Zh-20k"], "license_name": "llama3", "license_link": "LICENSE", "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "pipeline_tag": "text-generation"} | LoneStriker/Llama3-8B-Chinese-Chat-3.0bpw-h6-exl2 | null | [
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"text-generation-inference... | null | 2024-04-23T05:58:39+00:00 | [] | [
"en",
"zh"
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|
# Updates:
- We provide the official FP16 GGUF version of Llama3-8B-Chinese-Chat in shenzhi-wang/Llama3-8B-Chinese-Chat-GGUF-fp16!
- We provide the official 8bit-quantized GGUF version of Llama3-8B-Chinese-Chat in shenzhi-wang/Llama3-8B-Chinese-Chat-GGUF-8bit!
# 1. Introduction
This is the first Chinese chat model... | [
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"# 1. Introduction\n\nThis is the first Chines... | [
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text-generation | transformers |
# Updates:
- 🔥 We provide the official FP16 GGUF version of Llama3-8B-Chinese-Chat in [shenzhi-wang/Llama3-8B-Chinese-Chat-GGUF-fp16](https://huggingface.co/shenzhi-wang/Llama3-8B-Chinese-Chat-GGUF-fp16)!
- 🔥 We provide the official 8bit-quantized GGUF version of Llama3-8B-Chinese-Chat in [shenzhi-wang/Llama3-8B-Chi... | {"language": ["en", "zh"], "license": "other", "library_name": "transformers", "tags": ["llama-factory", "orpo"], "datasets": ["hiyouga/DPO-En-Zh-20k"], "license_name": "llama3", "license_link": "LICENSE", "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "pipeline_tag": "text-generation"} | LoneStriker/Llama3-8B-Chinese-Chat-4.0bpw-h6-exl2 | null | [
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"text-generation-inference... | null | 2024-04-23T06:00:29+00:00 | [] | [
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|
# Updates:
- We provide the official FP16 GGUF version of Llama3-8B-Chinese-Chat in shenzhi-wang/Llama3-8B-Chinese-Chat-GGUF-fp16!
- We provide the official 8bit-quantized GGUF version of Llama3-8B-Chinese-Chat in shenzhi-wang/Llama3-8B-Chinese-Chat-GGUF-8bit!
# 1. Introduction
This is the first Chinese chat model... | [
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"# 1. Introduction\n\nThis is the first Chines... | [
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text-generation | transformers |
## About Quantization
我们使用modelscope [swift](https://github.com/modelscope/swift/)仓库进行GPTQ量化. 量化文档可以查看[这里](https://github.com/modelscope/swift/blob/main/docs/source/LLM/LLM%E9%87%8F%E5%8C%96%E6%96%87%E6%A1%A3.md). 量化命令如下:
We use the modelscope [swift](https://github.com/modelscope/swift/) repository to perform GPTQ q... | {"language": ["en"], "license": "other", "tags": ["gptq", "int4", "llama3", "facebook", "meta", "pytorch", "llama", "llama-3"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: ... | study-hjt/Meta-Llama-3-8B-Instruct-GPTQ-Int4 | null | [
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"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-23T06:01:10+00:00 | [] | [
"en"
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| About Quantization
------------------
我们使用modelscope swift仓库进行GPTQ量化. 量化文档可以查看这里. 量化命令如下:
We use the modelscope swift repository to perform GPTQ quantization. Quantization documentation can be found here. The quantization command is as follows:
Inference:
SFT:
Model Details
-------------
Meta developed and ... | [
"### Use with transformers\n\n\nSee the snippet below for usage with Transformers:",
"### Use with 'llama3'\n\n\nPlease, follow the instructions in the repository\n\n\nTo download Original checkpoints, see the example command below leveraging 'huggingface-cli':\n\n\nFor Hugging Face support, we recommend using tr... | [
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text2text-generation | transformers | # Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
**This is a Chinese-English translation model based on Transformer architecture(beta version 0.0.1).**
This modelcard aims to be a base template for new models.
## Model Details
### Model Description
<!-- Provide a longer summary... | {"language": ["zh", "en"], "license": "mit", "datasets": ["wmt/wmt19"], "metrics": ["bleu"], "pipeline_tag": "text2text-generation"} | Varine/opus-mt-zh-en-model | null | [
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#transformers #tensorboard #safetensors #marian #text2text-generation #zh #en #dataset-wmt/wmt19 #license-mit #autotrain_compatible #endpoints_compatible #region-us
| # Model Card for Model ID
This is a Chinese-English translation model based on Transformer architecture(beta version 0.0.1).
This modelcard aims to be a base template for new models.
## Model Details
### Model Description
This model aims to provide the service of traslation between Chinese and English(Only Chine... | [
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text-generation | transformers |
# Updates:
- 🔥 We provide the official FP16 GGUF version of Llama3-8B-Chinese-Chat in [shenzhi-wang/Llama3-8B-Chinese-Chat-GGUF-fp16](https://huggingface.co/shenzhi-wang/Llama3-8B-Chinese-Chat-GGUF-fp16)!
- 🔥 We provide the official 8bit-quantized GGUF version of Llama3-8B-Chinese-Chat in [shenzhi-wang/Llama3-8B-Chi... | {"language": ["en", "zh"], "license": "other", "library_name": "transformers", "tags": ["llama-factory", "orpo"], "datasets": ["hiyouga/DPO-En-Zh-20k"], "license_name": "llama3", "license_link": "LICENSE", "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "pipeline_tag": "text-generation"} | LoneStriker/Llama3-8B-Chinese-Chat-5.0bpw-h6-exl2 | null | [
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"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference... | null | 2024-04-23T06:02:39+00:00 | [] | [
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|
# Updates:
- We provide the official FP16 GGUF version of Llama3-8B-Chinese-Chat in shenzhi-wang/Llama3-8B-Chinese-Chat-GGUF-fp16!
- We provide the official 8bit-quantized GGUF version of Llama3-8B-Chinese-Chat in shenzhi-wang/Llama3-8B-Chinese-Chat-GGUF-8bit!
# 1. Introduction
This is the first Chinese chat model... | [
"# Updates:\n- We provide the official FP16 GGUF version of Llama3-8B-Chinese-Chat in shenzhi-wang/Llama3-8B-Chinese-Chat-GGUF-fp16!\n- We provide the official 8bit-quantized GGUF version of Llama3-8B-Chinese-Chat in shenzhi-wang/Llama3-8B-Chinese-Chat-GGUF-8bit!",
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text-generation | transformers | # cat-llama-3-70b-san66
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 passthrough merge method.
### Models Merged
The following models were included in the merge:
* Meta-Llama-3-70B-Instr... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": []} | catid/cat-llama-3-70b-san66-hqq | null | [
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#transformers #llama #text-generation #mergekit #merge #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # cat-llama-3-70b-san66
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the passthrough merge method.
### Models Merged
The following models were included in the merge:
* Meta-Llama-3-70B-Instruct
### Configuration
The following... | [
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"### Models Merged\n\nThe following models were included in the merge:\n* Meta-Llama-3-70B-Instruct",
"###... | [
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null | null | <div align="center">
<img src="https://www.linkbricks.com/wp-content/uploads/2022/03/%E1%84%85%E1%85%B5%E1%86%BC%E1%84%8F%E1%85%B3%E1%84%87%E1%85%B3%E1%84%85%E1%85%B5%E1%86%A8%E1%84%89%E1%85%B3%E1%84%85%E1%85%A9%E1%84%80%E1%85%A9-2-1024x804.png" />
</div>
AI 와 빅데이터 분석 전문 기업인 Linkbricks(www.linkbricks.com)의 데이터사이언티스트... | {"language": ["ko", "en"], "license": "apache-2.0", "tags": ["tokenizer", "korean tokenizer", "llama2"]} | Saxo/llama2_Linkbricks_korean_tokenzier_stem1 | null | [
"tokenizer",
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"license:apache-2.0",
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] | null | 2024-04-23T06:04:44+00:00 | [] | [
"ko",
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] | TAGS
#tokenizer #korean tokenizer #llama2 #ko #en #license-apache-2.0 #region-us
| <div align="center">
<img src="URL />
</div>
AI 와 빅데이터 분석 전문 기업인 Linkbricks(URL)의 데이터사이언티스트인 지윤성 박사(Saxo)가 llama2 기본 Tokenizer(3,2000 토큰)에
한국어 토큰 40만개를 추가한 토크나이저로 llama2 계열 파인튜닝시 기존 llama2 토크나이저 대신 사용할 수 있도록 tokenzier_config.json과 special_tokens_map.json 은 수정 없이
tokenzier.json에 vocab과 merges 만 append한 토크나이저이다.
한글 코... | [] | [
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text-generation | transformers |
# Updates:
- 🔥 We provide the official FP16 GGUF version of Llama3-8B-Chinese-Chat in [shenzhi-wang/Llama3-8B-Chinese-Chat-GGUF-fp16](https://huggingface.co/shenzhi-wang/Llama3-8B-Chinese-Chat-GGUF-fp16)!
- 🔥 We provide the official 8bit-quantized GGUF version of Llama3-8B-Chinese-Chat in [shenzhi-wang/Llama3-8B-Chi... | {"language": ["en", "zh"], "license": "other", "library_name": "transformers", "tags": ["llama-factory", "orpo"], "datasets": ["hiyouga/DPO-En-Zh-20k"], "license_name": "llama3", "license_link": "LICENSE", "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "pipeline_tag": "text-generation"} | LoneStriker/Llama3-8B-Chinese-Chat-6.0bpw-h6-exl2 | null | [
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"endpoints_compatible",
"text-generation-inference... | null | 2024-04-23T06:05:10+00:00 | [] | [
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|
# Updates:
- We provide the official FP16 GGUF version of Llama3-8B-Chinese-Chat in shenzhi-wang/Llama3-8B-Chinese-Chat-GGUF-fp16!
- We provide the official 8bit-quantized GGUF version of Llama3-8B-Chinese-Chat in shenzhi-wang/Llama3-8B-Chinese-Chat-GGUF-8bit!
# 1. Introduction
This is the first Chinese chat model... | [
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text-generation | transformers |
# Updates:
- 🔥 We provide the official FP16 GGUF version of Llama3-8B-Chinese-Chat in [shenzhi-wang/Llama3-8B-Chinese-Chat-GGUF-fp16](https://huggingface.co/shenzhi-wang/Llama3-8B-Chinese-Chat-GGUF-fp16)!
- 🔥 We provide the official 8bit-quantized GGUF version of Llama3-8B-Chinese-Chat in [shenzhi-wang/Llama3-8B-Chi... | {"language": ["en", "zh"], "license": "other", "library_name": "transformers", "tags": ["llama-factory", "orpo"], "datasets": ["hiyouga/DPO-En-Zh-20k"], "license_name": "llama3", "license_link": "LICENSE", "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "pipeline_tag": "text-generation"} | LoneStriker/Llama3-8B-Chinese-Chat-8.0bpw-h8-exl2 | null | [
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"text-generation-inference... | null | 2024-04-23T06:08:02+00:00 | [] | [
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|
# Updates:
- We provide the official FP16 GGUF version of Llama3-8B-Chinese-Chat in shenzhi-wang/Llama3-8B-Chinese-Chat-GGUF-fp16!
- We provide the official 8bit-quantized GGUF version of Llama3-8B-Chinese-Chat in shenzhi-wang/Llama3-8B-Chinese-Chat-GGUF-8bit!
# 1. Introduction
This is the first Chinese chat model... | [
"# Updates:\n- We provide the official FP16 GGUF version of Llama3-8B-Chinese-Chat in shenzhi-wang/Llama3-8B-Chinese-Chat-GGUF-fp16!\n- We provide the official 8bit-quantized GGUF version of Llama3-8B-Chinese-Chat in shenzhi-wang/Llama3-8B-Chinese-Chat-GGUF-8bit!",
"# 1. Introduction\n\nThis is the first Chines... | [
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text-generation | mlx |
# r3m3c3/Meta-Llama-3-8B-Instruct-4bit
This model was converted to MLX format from [`meta-llama/Meta-Llama-3-8B-Instruct`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) for more details on the model.
## Use with mlx
```bash
pip instal... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "mlx"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"A... | r3m3c3/Meta-Llama-3-8B-Instruct | null | [
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|
# r3m3c3/Meta-Llama-3-8B-Instruct-4bit
This model was converted to MLX format from ['meta-llama/Meta-Llama-3-8B-Instruct']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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text-generation | transformers |
Compiled Llama-2-7b-chat-hf using optimum-neuron
```shell
optimum-cli export neuron --model NousResearch/Llama-2-7b-chat-hf --batch_size 1 --sequence_length 1024 --num_cores 2 --auto_cast_type fp16 ./models/NousResearch/Llama-2-7b-chat-hf
``` | {"tags": ["Neuron", "Optimum-Neuron", "AWS"], "pipeline_tag": "text-generation"} | cszhzleo/Llama-2-7b-chat-hf-nc2-bs1-token1024-neuron-218 | null | [
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|
Compiled Llama-2-7b-chat-hf using optimum-neuron
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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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 generate... | {"library_name": "transformers", "tags": []} | spsither/mms_300_v1.1350 | null | [
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text-generation | transformers | Quantizations of https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0
**Prompt:**
<|system|>
You are a friendly chatbot who always responds in the style of a pirate.</s>
<|user|>
How many helicopters can a human eat in one sitting?</s>
<|assistant|>
... | {"language": ["en"], "license": "other", "tags": ["transformers", "llama", "gguf", "imatrix"], "inference": false, "pipeline_tag": "text-generation"} | duyntnet/TinyLlama-1.1B-Chat-v1.0-imatrix-GGUF | null | [
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| Quantizations of URL
Prompt:
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<|user|>
How many helicopters can a human eat in one sitting?</s>
<|assistant|>
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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]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_Epistemic_tiny_0.6_Seed105 | null | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_Epistemic_tiny_0.6_Seed105 | null | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Ko - VTS Test
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-s... | {"language": ["ko"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["idiotDevelover/vts_sample_data"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Ko - VTS Test", "results": []}]} | idiotDeveloper/whisper_fineTune_vts_model | null | [
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| Whisper Small Ko - VTS Test
===========================
This model is a fine-tuned version of openai/whisper-small on the VTS Sample Data dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8448
* Wer: 83.3333
Model description
-----------------
More information needed
Intended uses & ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 5\n* eval\\_batch\\_size: 5\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10",
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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": []} | cilantro9246/4cr31m3 | 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 | null |
# IDLS24 TEAM33
## SKA-TDNN with 3 predefined kernel sizes (3,5,7) for fcwSKA
Results on Vox1-O, after training on VoxCeleb1-dev
| EER (%) | minDCF|
|---------|-------|
|2.601| 0.184 | | {"license": "apache-2.0"} | alexgichamba/idls24_team33_vox1_3k_ska | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-23T06:15:49+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| IDLS24 TEAM33
=============
SKA-TDNN with 3 predefined kernel sizes (3,5,7) for fcwSKA
----------------------------------------------------------
Results on Vox1-O, after training on VoxCeleb1-dev
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token-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": []} | Tippawan/SNOMED-CT-hc67 | 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 | ## WiNGPT2
[WiNGPT](https://github.com/winninghealth/WiNGPT2) 是一个基于GPT的医疗垂直领域大模型，旨在将专业的医学知识、医疗信息、数据融会贯通，为医疗行业提供智能化的医疗问答、诊断支持和医学知识等信息服务，提高诊疗效率和医疗服务质量。
## 更新日志
[2024/04/23] 更新 WiNGPT2-Llama-3-8B-Base 和 WiNGPT2-Llama-3-8B-Chat 模型（中文增强/多语言）与测评结果
[2024/04/01] 更新 WiNEval 测评结果
[2024/03/05] 开源7B/14B-Chat-4bit模型权重: [🤗](ht... | {"language": ["en", "zh"], "license": "apache-2.0", "tags": ["medical"]} | winninghealth/WiNGPT2-Llama-3-8B-Chat | null | [
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| WiNGPT2
-------
WiNGPT 是一个基于GPT的医疗垂直领域大模型，旨在将专业的医学知识、医疗信息、数据融会贯通，为医疗行业提供智能化的医疗问答、诊断支持和医学知识等信息服务，提高诊疗效率和医疗服务质量。
更新日志
----
[2024/04/23] 更新 WiNGPT2-Llama-3-8B-Base 和 WiNGPT2-Llama-3-8B-Chat 模型（中文增强/多语言）与测评结果
[2024/04/01] 更新 WiNEval 测评结果
[2024/03/05] 开源7B/14B-Chat-4bit模型权重: WiNGPT2-7B-Chat-4bit和WiNGPT2-14B-Chat-4... | [
"### 推理",
"### 提示\n\n\nWiNGPT-Llama-3-8B-Chat 使用了自定义的提示格式：\n\n\n用户角色：System/User/Assistant\n\n\nchat\\_template:\n\n\n指令提示示例：\n\n\n多轮对话示例：\n\n\n翻译功能示例：\n\n\n模型卡\n---",
"#### 训练配置与参数",
"#### 训练数据\n\n\n预训练数据约20G，指令微调对齐数据约50万条，详细内容 。\n\n\n中文医疗评测 - WiNEval\n----------------\n\n\n更新时间：2024-04-23\n\n\n\n*MCKQuiz（客观... | [
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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", "dpo"]} | NBA55/Experiment_with_trained_model_Final_DPO_for_all_3_issues | 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-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 - bbsgp/bhh_FWD_LoRA
<Gallery />
## Model description
These are bbsgp/bhh_FWD_LoRA LoRA adaption... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stable-diffusion-xl", ... | bbsgp/bhh_FWD_LoRA | null | [
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|
# SDXL LoRA DreamBooth - bbsgp/bhh_FWD_LoRA
<Gallery />
## Model description
These are bbsgp/bhh_FWD_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | AbhilashGop/ppo-Huggy | null | [
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|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
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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": []} | Noboru-Ta/bert-base-japanese-v3-wrime-sentiment | 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. -->
# model_bert_check_new_1
This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base-v... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "albert/albert-base-v2", "model-index": [{"name": "model_bert_check_new_1", "results": []}]} | KalaiselvanD/model_bert_check_new_1 | null | [
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| model\_bert\_check\_new\_1
==========================
This model is a fine-tuned version of albert/albert-base-v2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3250
* Accuracy: 0.93
Model description
-----------------
More information needed
Intended uses & limitation... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# andrestarazona/sentiment_model
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/disti... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "andrestarazona/sentiment_model", "results": []}]} | andrestarazona/sentiment_model | null | [
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| andrestarazona/sentiment\_model
===============================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.0620
* Validation Loss: 0.2629
* Train Accuracy: 0.9133
* Epoch: 2
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null | null |
# IDLS24 TEAM33
## SKA-TDNN with 4 predefined kernel sizes (3,5,7,9) for fcwSKA
Results on Vox1-O, after training on VoxCeleb1-dev
| EER (%) | minDCF|
|---------|-------|
|2.456| 0.178 | | {"license": "apache-2.0"} | alexgichamba/idls24_team33_vox1_4k_ska | null | [
"license:apache-2.0",
"region:us"
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#license-apache-2.0 #region-us
| IDLS24 TEAM33
=============
SKA-TDNN with 4 predefined kernel sizes (3,5,7,9) for fcwSKA
------------------------------------------------------------
Results on Vox1-O, after training on VoxCeleb1-dev
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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. -->
# git-base-pokemon
This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an unk... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/git-base", "model-index": [{"name": "git-base-pokemon", "results": []}]} | deepakkaran/git-base-pokemon | null | [
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| git-base-pokemon
================
This model is a fine-tuned version of microsoft/git-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5740
* Wer Score: 1.0938
Model description
-----------------
More information needed
Intended uses & limitations
----------------... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "AdaptLLM/finance-chat"} | Madavan/finqa_finetuned | null | [
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|
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## Model Details
### Model Description
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- Funded by [optional]:
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- Finetuned from model [optional]:
### Model Sources [optional]
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text-classification | transformers |
# Model Name
## Model Description
The model is a roberta-base fine-tuned on various social media dataset and Wikipedia dataset.
The model takes a news article and predicts if it is true or fake.
The format of the input should be:
```
<title> TITLE HERE <content> CONTENT HERE <end>
```
| {"language": "en", "license": "apache-2.0", "tags": ["language-model", "transformers", "education"], "libraries": ["transformers"]} | ljz512187207/Social_Media_Fake_News_Detection | null | [
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|
# Model Name
## Model Description
The model is a roberta-base fine-tuned on various social media dataset and Wikipedia dataset.
The model takes a news article and predicts if it is true or fake.
The format of the input should be:
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null | null | <audio controls src="https://cdn-uploads.huggingface.co/production/uploads/66275635e39da75ea9956ecb/IpOoIBeh9WZcsvmaI-UaU.mpga"></audio>
datasets:
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language:
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--- | {} | Aaniya/Bachchan | null | [
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#region-us
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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": []} | alessioryan/mt5-new-tokenizer-Finnish | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- 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. -->
# gpt2-TherapyV1
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
## Model description
M... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "gpt2-TherapyV1", "results": []}]} | eeshakrishna2002/gpt2-TherapyV1 | null | [
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#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# gpt2-TherapyV1
This model is a fine-tuned version of [](URL on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following h... | [
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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. -->
# 0.01_ablation_4iters_bs256_iter_4
This model is a fine-tuned version of [ShenaoZ/0.01_ablation_4iters_bs256_iter_3](https://hugg... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.01_ablation_4iters_bs256_iter_3", "model-index": [{"name": "0.01_ablation_4iters_bs256_iter_4", "results": []}]} | ShenaoZ/0.01_ablation_4iters_bs256_iter_4 | null | [
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|
# 0.01_ablation_4iters_bs256_iter_4
This model is a fine-tuned version of ShenaoZ/0.01_ablation_4iters_bs256_iter_3 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information nee... | [
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null | transformers |
# {MODEL_NAME}
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 model becomes easy when... | {"tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | nntoan209/bgem3-generic-msmarco-squadv2-tvpl | null | [
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"region:us"
] | null | 2024-04-23T06:38:51+00:00 | [] | [] | TAGS
#transformers #safetensors #endpoints_compatible #region-us
|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can ... | [
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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/Mihaiii/Pallas-0.5-frankenmerge
**No more quants are incoming, as llama.cpp crashes when generating them.**
<!-- provided-files -->... | {"language": ["en"], "license": "other", "library_name": "transformers", "base_model": "Mihaiii/Pallas-0.5-frankenmerge", "license_link": "https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE", "license_name": "yi-license", "no_imatrix": "GGML_ASSERT: llama.cpp/ggml-quants.c:11239: grid_index >= 0", "quantized_by": "m... | mradermacher/Pallas-0.5-frankenmerge-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
No more quants are incoming, as URL crashes when generating them.
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided... | [] | [
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text-to-image | diffusers |
# 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 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | Niggendar/genesisevaxl_v10 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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... | [
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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)
polyglot-ko-3.8b - bnb 4bits
- Model creator: https://huggingface.co/EleutherAI/
- Original model: https://huggingface.co/El... | {} | RichardErkhov/EleutherAI_-_polyglot-ko-3.8b-4bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
polyglot-ko-3.8b - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language:
* ko
tags:
* pytorch
* causal-lm
license: apache-2.0
---
Polyglot-Ko-3.8B
==============... | [
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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": []} | Dipen1910/gptq | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/NurtureAI/Meta-Llama-3-8B-Instruct-64k
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they ... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3"], "base_model": "NurtureAI/Meta-Llama-3-8B-Instruct-64k", "extra_gated_button_content": "Submit", "extra_gated_fields": {"Affiliation": "text", "By clicking Submit below I accept the terms... | mradermacher/Meta-Llama-3-8B-Instruct-64k-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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] |
null | null |
# IDLS24 TEAM33
## SKA-TDNN with 4 msSKA blocks
Results on Vox1-O, after training on VoxCeleb1-dev
| EER (%) | minDCF|
|---------|-------|
|2.659| 0.178 | | {"license": "apache-2.0"} | alexgichamba/idls24_team33_vox1_4ms_ska | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-23T06:44:39+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| IDLS24 TEAM33
=============
SKA-TDNN with 4 msSKA blocks
----------------------------
Results on Vox1-O, after training on VoxCeleb1-dev
| [] | [
"TAGS\n#license-apache-2.0 #region-us \n"
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text-generation | mlx |
# r3m3c3/Meta-Llama-3-8B-Instruct-4bit
This model was converted to MLX format from [`meta-llama/Meta-Llama-3-8B-Instruct`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) for more details on the model.
## Use with mlx
```bash
pip instal... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "mlx"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"A... | r3m3c3/Meta-Llama-3-8B-Instruct-4bit | null | [
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"license:other",
"region:us"
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"en"
] | TAGS
#mlx #safetensors #llama #facebook #meta #pytorch #llama-3 #text-generation #conversational #en #license-other #region-us
|
# r3m3c3/Meta-Llama-3-8B-Instruct-4bit
This model was converted to MLX format from ['meta-llama/Meta-Llama-3-8B-Instruct']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
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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. -->
# token-classification-llmlingua2-phobert-bctn-323_sample-5_epoch_16k_fpt_v1
This model is a fine-tuned version of [vinai/phobert-... | {"tags": ["generated_from_trainer"], "base_model": "vinai/phobert-base-v2", "model-index": [{"name": "token-classification-llmlingua2-phobert-bctn-323_sample-5_epoch_16k_fpt_v1", "results": []}]} | qminh369/token-classification-llmlingua2-phobert-bctn-323_sample-5_epoch_16k_fpt_v1 | null | [
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"token-classification",
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"base_model:vinai/phobert-base-v2",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T06:47:01+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #token-classification #generated_from_trainer #base_model-vinai/phobert-base-v2 #autotrain_compatible #endpoints_compatible #region-us
| token-classification-llmlingua2-phobert-bctn-323\_sample-5\_epoch\_16k\_fpt\_v1
===============================================================================
This model is a fine-tuned version of vinai/phobert-base-v2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6698
M... | [
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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)
gpt-neox-20b - bnb 4bits
- Model creator: https://huggingface.co/EleutherAI/
- Original model: https://huggingface.co/Eleuth... | {} | RichardErkhov/EleutherAI_-_gpt-neox-20b-4bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
gpt-neox-20b - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language:
* en
tags:
* pytorch
* causal-lm
license: apache-2.0
datasets:
* EleutherAI/pile
---
GPT-Neo... | [
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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
As we know that Fine tuning Only updates the final layer , as well as extration and derankng with lord also extracts this last layer! / Penultimate layer:
Hence when ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "code", "medical ", "farmer", "doctor", "Mega-Series", "Cyber-Series", "Role-Play", "Self-Rag", "ThinkingBot", "milestone", "mega-series", "SpydazWebAI"], "dat... | LeroyDyer/Mixtral_AI_Ultron | null | [
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# merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
As we know that Fine tuning Only updates the final layer , as well as extration and derankng with lord also extracts this last layer! / Penultimate layer:
Hence when fine tuning models ; you CANNOT fine ... | [
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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)
polyglot-ko-3.8b - bnb 8bits
- Model creator: https://huggingface.co/EleutherAI/
- Original model: https://huggingface.co/El... | {} | RichardErkhov/EleutherAI_-_polyglot-ko-3.8b-8bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
polyglot-ko-3.8b - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language:
* ko
tags:
* pytorch
* causal-lm
license: apache-2.0
---
Polyglot-Ko-3.8B
==============... | [
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"### SentiNeg (F1)\n\n\n\n<img src=\"URL width=\"800px\">",
"### WiC (F1)\n\n\n\n<img src=\"URL width=\"800px\">\n\n\nLimitations and ... | [
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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_ablation_4iters_bs256_decalpha_iter_4
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_4iters_bs256_decalpha_... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_4iters_bs256_decalpha_iter_3", "model-index": [{"name": "0.001_ablation_4iters_bs256_decalpha_iter_4", "results": []}]} | ShenaoZ/0.001_ablation_4iters_bs256_decalpha_iter_4 | null | [
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"en... | null | 2024-04-23T06:48:23+00:00 | [] | [] | TAGS
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# 0.001_ablation_4iters_bs256_decalpha_iter_4
This model is a fine-tuned version of ShenaoZ/0.001_ablation_4iters_bs256_decalpha_iter_3 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
... | [
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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/ResplendentAI/Kei_Llama3_8B
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/Kei_Llama3_8B... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "base_model": "ResplendentAI/Kei_Llama3_8B", "quantized_by": "mradermacher"} | mradermacher/Kei_Llama3_8B-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "google/gemma-7b"} | PawinC/GemmaTuna7B | null | [
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"1910.09700"
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#peft #safetensors #arxiv-1910.09700 #base_model-google/gemma-7b #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
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#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Llama-2-7b-chat-hf"} | shivanikerai/Llama-2-7b-chat-hf-adapter-title-suggestion-v1.0 | null | [
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"1910.09700"
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#peft #arxiv-1910.09700 #base_model-meta-llama/Llama-2-7b-chat-hf #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
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- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
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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. -->
# multilabel_classification
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mis... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "multilabel_classification", "results": []}]} | dendimaki/multilabel_classification_v2 | null | [
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#peft #tensorboard #safetensors #generated_from_trainer #base_model-mistralai/Mistral-7B-v0.1 #license-apache-2.0 #region-us
| multilabel\_classification
==========================
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
... | [
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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]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_Epistemic_tiny_0.8_Seed101 | null | [
"peft",
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] | [] | TAGS
#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
## Uses
### Direct Use
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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]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_Epistemic_tiny_0.8_Seed101 | null | [
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#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
polyglot-ko-1.3b - bnb 4bits
- Model creator: https://huggingface.co/EleutherAI/
- Original model: https://huggingface.co/El... | {} | RichardErkhov/EleutherAI_-_polyglot-ko-1.3b-4bits | null | [
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"region:us"
] | null | 2024-04-23T06:53:22+00:00 | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
polyglot-ko-1.3b - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language:
* ko
tags:
* pytorch
* causal-lm
license: apache-2.0
---
Polyglot-Ko-1.3B
==============... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_opus_books_model
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown data... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "t5-small", "model-index": [{"name": "my_awesome_opus_books_model", "results": []}]} | CornCube/my_awesome_opus_books_model | null | [
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| my\_awesome\_opus\_books\_model
===============================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1850
* Bleu: 0.2485
* Gen Len: 18.1896
Model description
-----------------
More information needed
Intended u... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2\n* mixed\\_prec... | [
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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. -->
# my_awesome_food_model
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "my_awesome_food_model", "results": []}]} | Fu-chiang/my_awesome_food_model | null | [
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| my\_awesome\_food\_model
========================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.0359
* Accuracy: 1.0
Model description
-----------------
More information needed
Intended uses & l... | [
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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)
polyglot-ko-1.3b - bnb 8bits
- Model creator: https://huggingface.co/EleutherAI/
- Original model: https://huggingface.co/El... | {} | RichardErkhov/EleutherAI_-_polyglot-ko-1.3b-8bits | null | [
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"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-23T06:56:16+00:00 | [
"2104.09864",
"2204.04541",
"2306.02254"
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
polyglot-ko-1.3b - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language:
* ko
tags:
* pytorch
* causal-lm
license: apache-2.0
---
Polyglot-Ko-1.3B
==============... | [
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"### SentiNeg (F1)\n\n\n\n<img src=\"URL width=\"800px\">",
"### WiC (F1)\n\n\n\n<img src=\"URL width=\"800px\">\n\n\nLimitations and ... | [
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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_ablation_4iters_bs256_declr_iter_4
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_4iters_bs256_declr_iter_3... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_4iters_bs256_declr_iter_3", "model-index": [{"name": "0.001_ablation_4iters_bs256_declr_iter_4", "results": []}]} | ShenaoZ/0.001_ablation_4iters_bs256_declr_iter_4 | null | [
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"base_model:ShenaoZ/0.001_ablation_4iters_bs256_declr_iter_3",
"license:mit",
"autotrain_compatible",
"endpo... | null | 2024-04-23T06:56:41+00:00 | [] | [] | TAGS
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|
# 0.001_ablation_4iters_bs256_declr_iter_4
This model is a fine-tuned version of ShenaoZ/0.001_ablation_4iters_bs256_declr_iter_3 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_ablation_4iters_bs256_declr_iter_4\n\nThis model is a fine-tuned version of ShenaoZ/0.001_ablation_4iters_bs256_declr_iter_3 on the updated and the original datasets.",
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text-generation | transformers |
As we know that Fine tuning Only updates the final layer , as well as extration and derankng with lord also extracts this last layer! / Penultimate layer:
Hence when fine tuning models ; you CANNOT fine tune on TOP of the fine tuning;
Hence merging!
So collecting finetuned models and mmerging retains the skills le... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "code", "medical ", "farmer", "doctor", "Mega-Series", "Cyber-Series", "Role-Play", "Self-Rag", "ThinkingBot", "milestone", "mega-series", "SpydazWebAI"], "dat... | LeroyDyer/Mixtral_AI_CyberUltron | null | [
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As we know that Fine tuning Only updates the final layer , as well as extration and derankng with lord also extracts this last layer! / Penultimate layer:
Hence when fine tuning models ; you CANNOT fine tune on TOP of the fine tuning;
Hence merging!
So collecting finetuned models and mmerging retains the skills le... | [
"## MODELS !! :: : - Why?\n\nNew base Mode Generation from the final Cybertron series model and the Final CyberSeries Models :|\nIt would seem that some models are not registering on the board ?? perhaps there is a limmit per person ! :\n\nfollowers should know that the cyberboss was my highest model (renamed)\nAn... | [
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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)
polyglot-ko-5.8b - bnb 4bits
- Model creator: https://huggingface.co/EleutherAI/
- Original model: https://huggingface.co/El... | {} | RichardErkhov/EleutherAI_-_polyglot-ko-5.8b-4bits | null | [
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"region:us"
] | null | 2024-04-23T07:00:22+00:00 | [
"2104.09864",
"2204.04541",
"2306.02254"
] | [] | TAGS
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
polyglot-ko-5.8b - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language:
* ko
tags:
* pytorch
* causal-lm
license: apache-2.0
---
Polyglot-Ko-5.8B
==============... | [
"### COPA (F1)\n\n\n\n<img src=\"URL width=\"800px\">",
"### HellaSwag (F1)\n\n\n\n<img src=\"URL width=\"800px\">",
"### BoolQ (F1)\n\n\n\n<img src=\"URL width=\"800px\">",
"### SentiNeg (F1)\n\n\n\n<img src=\"URL width=\"800px\">",
"### WiC (F1)\n\n\n\n<img src=\"URL width=\"800px\">\n\n\nLimitations and ... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** Awesomeluc
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-v0.2
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-v0.2"} | Awesomeluc/171Av5-GGUF | null | [
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"license:apache-2.0",
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"region:us"
] | null | 2024-04-23T07:01:17+00:00 | [] | [
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] | TAGS
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|
# Uploaded model
- Developed by: Awesomeluc
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-v0.2
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: Awesomeluc\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-v0.2\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
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"# Uploaded model\n\n- Developed by: Awesomeluc\n- License: apache-2.0\n- Finetuned from model... | [
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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. -->
# distilbert-base-uncased-finetuned-squad
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/d... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-squad", "results": []}]} | soikit/distilbert-base-uncased-finetuned-squad | null | [
"transformers",
"safetensors",
"distilbert",
"question-answering",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-23T07:02:09+00:00 | [] | [] | TAGS
#transformers #safetensors #distilbert #question-answering #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us
| distilbert-base-uncased-finetuned-squad
=======================================
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: 1.3618
Model description
-----------------
More information needed
Intended uses... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
"TAGS\n#transformers #safetensors #distilbert #question-answering #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train... | [
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"TAGS\n#transformers #safetensors #distilbert #question-answering #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_bat... |
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