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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. -->
# ap-normistral-7b-align-scan
This model is a fine-tuned version of [data/ap-normistral-7b-sft-qlora](https://huggingface.co/data/... | {"library_name": "peft", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer"], "datasets": ["hugodk-sch/aftonposten_title_prefs"], "base_model": "norallm/normistral-7b-warm", "model-index": [{"name": "ap-normistral-7b-align-scan", "results": []}]} | hugodk-sch/ap-normistral-7b-align-scan | null | [
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"base_model:norallm/normistral-7b-warm",
"4-bit",
"region:us"
] | null | 2024-05-01T02:35:30+00:00 | [] | [] | TAGS
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| ap-normistral-7b-align-scan
===========================
This model is a fine-tuned version of data/ap-normistral-7b-sft-qlora on the hugodk-sch/aftonposten\_title\_prefs dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9524
* Rewards/chosen: -0.0816
* Rewards/rejected: -0.1313
* Rewards/a... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-06\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with... | [
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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)
zephyr-7b-alpha - bnb 4bits
- Model creator: https://huggingface.co/HuggingFaceH4/
- Original model: https://huggingface.co/... | {} | RichardErkhov/HuggingFaceH4_-_zephyr-7b-alpha-4bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
zephyr-7b-alpha - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
tags:
* generated\_from\_trainer
model-index:
* name: zephyr-7b-alpha
results: []
license: mit
datasets:
... | [
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null | null |
# Hermes 2 Pro - Llama-3 8B
## Model Description
### This is the llama.cpp GGUF Quantized version of Hermes 2 Pro Llama-3 8B, for the full version, click [Here](https://huggingface.co/NousResearch/... | {"language": ["en"], "license": "apache-2.0", "tags": ["Llama-3", "instruct", "finetune", "chatml", "DPO", "RLHF", "gpt4", "synthetic data", "distillation", "function calling", "json mode"], "datasets": ["teknium/OpenHermes-2.5"], "base_model": "NousResearch/Meta-Llama-3-8B", "widget": [{"example_title": "Hermes 2 Pro"... | NousResearch/Hermes-2-Pro-Llama-3-8B-GGUF | null | [
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|
# Hermes 2 Pro - Llama-3 8B
!image/png
## Model Description
### This is the URL GGUF Quantized version of Hermes 2 Pro Llama-3 8B, for the full version, click Here
Hermes 2 Pro is an upgraded version of Nous Hermes 2, consisting of an updated and cleaned version of the OpenHermes 2.5 Dataset, as well as a newly in... | [
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Luluuu/0430_2_SEASON_baseline_checkpoint_4500 | null | [
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|
# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
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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)
zephyr-7b-alpha - bnb 8bits
- Model creator: https://huggingface.co/HuggingFaceH4/
- Original model: https://huggingface.co/... | {} | RichardErkhov/HuggingFaceH4_-_zephyr-7b-alpha-8bits | null | [
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#transformers #safetensors #mistral #text-generation #conversational #arxiv-2305.18290 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
zephyr-7b-alpha - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
tags:
* generated\_from\_trainer
model-index:
* name: zephyr-7b-alpha
results: []
license: mit
datasets:
... | [
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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": []} | abc88767/model25 | null | [
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"1910.09700"
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# Model Card for Model ID
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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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. -->
# YT_Results
This model is a fine-tuned version of [PrunaAI/mistralai-Mistral-7B-Instruct-v0.2-bnb-4bit-smashed](https://huggingfa... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "PrunaAI/mistralai-Mistral-7B-Instruct-v0.2-bnb-4bit-smashed", "model-index": [{"name": "YT_Results", "results": []}]} | shouray/YT_Results | null | [
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| YT\_Results
===========
This model is a fine-tuned version of PrunaAI/mistralai-Mistral-7B-Instruct-v0.2-bnb-4bit-smashed on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6777
Model description
-----------------
More information needed
Intended uses & limitations
-----... | [
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text-generation | transformers | ## Hypernova-experimental
Tried some new stuff this time around. Very different outcome than I expected.
This is an experimental model that was created for the development of NovaAI.
Good at chatting and some RP. Sometimes gets characters mixed up. Can occasionally struggle with context.
Quantized model here: [theNov... | {"language": ["en"], "license": "cc-by-sa-4.0", "library_name": "transformers", "base_model": ["Undi95/Emerald-13B", "Gryphe/MythoMax-L2-13b"], "inference": false} | theNovaAI/Hypernova-experimental | null | [
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| ## Hypernova-experimental
Tried some new stuff this time around. Very different outcome than I expected.
This is an experimental model that was created for the development of NovaAI.
Good at chatting and some RP. Sometimes gets characters mixed up. Can occasionally struggle with context.
Quantized model here: theNova... | [
"## Hypernova-experimental\nTried some new stuff this time around. Very different outcome than I expected.\nThis is an experimental model that was created for the development of NovaAI.\n\nGood at chatting and some RP. Sometimes gets characters mixed up. Can occasionally struggle with context.\n\nQuantized model he... | [
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null | null |
# gagagiga/Llama-3-MAAL-8B-Instruct-v0.1-Q4_K_S-GGUF
This model was converted to GGUF format from [`maum-ai/Llama-3-MAAL-8B-Instruct-v0.1`](https://huggingface.co/maum-ai/Llama-3-MAAL-8B-Instruct-v0.1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to... | {"language": ["en", "ko"], "license": "llama3", "tags": ["facebook", "meta", "llama", "llama-3", "llama-3-ko", "llama-cpp", "gguf-my-repo"], "base_model": ["meta-llama/Meta-Llama-3-8B-Instruct"]} | gagagiga/Llama-3-MAAL-8B-Instruct-v0.1-Q4_K_S-GGUF | null | [
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"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
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"en",
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|
# gagagiga/Llama-3-MAAL-8B-Instruct-v0.1-Q4_K_S-GGUF
This model was converted to GGUF format from 'maum-ai/Llama-3-MAAL-8B-Instruct-v0.1' 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... | [
"# gagagiga/Llama-3-MAAL-8B-Instruct-v0.1-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'maum-ai/Llama-3-MAAL-8B-Instruct-v0.1' 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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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. -->
# gemma-2b-aya-chatml-v3
This model is a fine-tuned version of [Ransaka/Gemma-2b-sinhala](https://huggingface.co/Ransaka/Gemma-2b-... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "Ransaka/Gemma-2b-sinhala", "model-index": [{"name": "gemma-2b-aya-chatml-v3", "results": []}]} | Ransaka/gemma-2b-aya-chatml-v3 | null | [
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"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:Ransaka/Gemma-2b-sinhala",
"region:us"
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-Ransaka/Gemma-2b-sinhala #region-us
|
# gemma-2b-aya-chatml-v3
This model is a fine-tuned version of Ransaka/Gemma-2b-sinhala on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyp... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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text-generation | transformers | <img src="./ninjalogo.svg" width="100%" height="20%" alt="">
# Our Models
- [Vecteus](https://huggingface.co/Local-Novel-LLM-project/Vecteus-v1)
- [Ninja-v1](https://huggingface.co/Local-Novel-LLM-project/Ninja-v1)
- [Ninja-v1-NSFW](https://huggingface.co/Local-Novel-LLM-project/Ninja-v1-NSFW)
- [Ninja-v1-128k](h... | {"language": ["en", "ja"], "license": "apache-2.0", "library_name": "transformers", "tags": ["finetuned", "not-for-all-audiences"], "pipeline_tag": "text-generation"} | Local-Novel-LLM-project/Ninja-v1-NSFW-128k | null | [
"transformers",
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"finetuned",
"not-for-all-audiences",
"custom_code",
"en",
"ja",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-01T02:54:59+00:00 | [] | [
"en",
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#transformers #safetensors #mistral #text-generation #finetuned #not-for-all-audiences #custom_code #en #ja #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| <img src="./URL" width="100%" height="20%" alt="">
# Our Models
- Vecteus
- Ninja-v1
- Ninja-v1-NSFW
- Ninja-v1-128k
- Ninja-v1-NSFW-128k
## Model Card for Ninja-v1-NSFW-128k
The Mistral-7B--based Large Language Model (LLM) is an noveldataset fine-tuned version of the Mistral-7B-v0.1
Ninja-NSFW-128k has the f... | [
"# Our Models\n- Vecteus\n\n- Ninja-v1 \n\n- Ninja-v1-NSFW\n\n- Ninja-v1-128k\n\n- Ninja-v1-NSFW-128k",
"## Model Card for Ninja-v1-NSFW-128k\n\nThe Mistral-7B--based Large Language Model (LLM) is an noveldataset fine-tuned version of the Mistral-7B-v0.1\n\nNinja-NSFW-128k has the following changes compared to Mi... | [
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"# Our Models\n- Vecteus\n\n- Ninja-v1 \n\n- Ninja-v1-NSFW\n\n- Ninja-v1-128k\n\n- Ninja-v1-... | [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
zephyr-7b-alpha - GGUF
- Model creator: https://huggingface.co/HuggingFaceH4/
- Original model: https://huggingface.co/Huggi... | {} | RichardErkhov/HuggingFaceH4_-_zephyr-7b-alpha-gguf | null | [
"gguf",
"arxiv:2305.18290",
"region:us"
] | null | 2024-05-01T02:55:52+00:00 | [
"2305.18290"
] | [] | TAGS
#gguf #arxiv-2305.18290 #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
zephyr-7b-alpha - GGUF
* Model creator: URL
* Original model: URL
Name: zephyr-7b-alpha.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.53GB
Name: zephyr-7b-alpha.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 2.81GB
Name: zephyr-7b-alpha.IQ3\_S.g... | [
"### Model Sources\n\n\n* Repository: URL\n* Demo: URL\n\n\nIntended uses & limitations\n---------------------------\n\n\nThe model was initially fine-tuned on a variant of the 'UltraChat' dataset, which contains a diverse range of synthetic dialogues generated by ChatGPT. We then further aligned the model with TRL... | [
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null | null |
[BeaverAI](https://huggingface.co/BeaverAI) team: Drummer, ToastyPigeon, xzuyn, MarsupialAI, Twistedshadows, Jeb Carter, and concedo
We proudly present...
# Coomand-R 35B v1
> THIS FINETUNED MODEL... | {"license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences"]} | TheDrummer/Coomand-R-35B-v1-TEST-GGUF | null | [
"gguf",
"region:us"
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#gguf #region-us
|
BeaverAI team: Drummer, ToastyPigeon, xzuyn, MarsupialAI, Twistedshadows, Jeb Carter, and concedo
!image/png
We proudly present...
# Coomand-R 35B v1
> THIS FINETUNED MODEL HAS BEEN RATED...
> !image/png
> *We've enhanced the underdog with a rich and refreshing coomand of eRP. Finetuned by yours truly.*
## Origin... | [
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text-generation | transformers | <img src="./ninjalogo.svg" width="100%" height="20%" alt="">
# Our Models
- [Vecteus](https://huggingface.co/Local-Novel-LLM-project/Vecteus-v1)
- [Ninja-v1](https://huggingface.co/Local-Novel-LLM-project/Ninja-v1)
- [Ninja-v1-NSFW](https://huggingface.co/Local-Novel-LLM-project/Ninja-v1-NSFW)
- [Ninja-v1-128k](h... | {"language": ["en", "ja"], "license": "apache-2.0", "library_name": "transformers", "tags": ["finetuned"], "pipeline_tag": "text-generation"} | Local-Novel-LLM-project/Ninja-v1-128k | null | [
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"license:apache-2.0",
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-01T02:56:38+00:00 | [] | [
"en",
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#transformers #safetensors #mistral #text-generation #finetuned #custom_code #en #ja #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| <img src="./URL" width="100%" height="20%" alt="">
# Our Models
- Vecteus
- Ninja-v1
- Ninja-v1-NSFW
- Ninja-v1-128k
- Ninja-v1-NSFW-128k
## Model Card for Ninja-v1-128k
The Mistral-7B--based Large Language Model (LLM) is an noveldataset fine-tuned version of the Mistral-7B-v0.1
Ninja-128k has the following c... | [
"# Our Models\n- Vecteus\n\n- Ninja-v1 \n\n- Ninja-v1-NSFW\n\n- Ninja-v1-128k\n\n- Ninja-v1-NSFW-128k",
"## Model Card for Ninja-v1-128k\n\nThe Mistral-7B--based Large Language Model (LLM) is an noveldataset fine-tuned version of the Mistral-7B-v0.1\n\nNinja-128k has the following changes compared to Mistral-7B-v... | [
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"# Our Models\n- Vecteus\n\n- Ninja-v1 \n\n- Ninja-v1-NSFW\n\n- Ninja-v1-128k\n\n- Ninja-v1-NSFW-128k",
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text-generation | transformers |
# Uploaded model
- **Developed by:** hrishikesh1991
- **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/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | hrishikesh1991/llama3-8b-oig-unsloth-merged_V2 | null | [
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"license:apache-2.0",
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|
# Uploaded model
- Developed by: hrishikesh1991
- 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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reinforcement-learning | sample-factory |
A(n) **APPO** model trained on the **doom_health_gathering_supreme** environment.
This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
## Downloading the model
After installing Sa... | {"library_name": "sample-factory", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "sample-factory"], "model-index": [{"name": "APPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "doom_health_gathering_supreme", "type": "doom_health_ga... | hossniper/rl_course_vizdoom_health_gathering_supreme | null | [
"sample-factory",
"tensorboard",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-05-01T03:05:27+00:00 | [] | [] | TAGS
#sample-factory #tensorboard #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
A(n) APPO model trained on the doom_health_gathering_supreme environment.
This model was trained using Sample-Factory 2.0: URL
Documentation for how to use Sample-Factory can be found at URL
## Downloading the model
After installing Sample-Factory, download the model with:
## Using the model
To run the mod... | [
"## Downloading the model\n\nAfter installing Sample-Factory, download the model with:",
"## Using the model\n\nTo run the model after download, use the 'enjoy' script corresponding to this environment:\n\n\n\nYou can also upload models to the Hugging Face Hub using the same script with the '--push_to_hub' flag.\... | [
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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. -->
# ai-text-detector-version-2
This model is a fine-tuned version of [Yuhhi/tf_model.h5](https://huggingface.co/Yuhhi/tf_model.h5) o... | {"license": "mit", "tags": ["generated_from_keras_callback"], "base_model": "Yuhhi/tf_model.h5", "model-index": [{"name": "ai-text-detector-version-2", "results": []}]} | Yuhhi/ai-text-detector-version-2 | null | [
"transformers",
"tf",
"distilbert",
"text-classification",
"generated_from_keras_callback",
"base_model:Yuhhi/tf_model.h5",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-05-01T03:05:31+00:00 | [] | [] | TAGS
#transformers #tf #distilbert #text-classification #generated_from_keras_callback #base_model-Yuhhi/tf_model.h5 #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us
|
# ai-text-detector-version-2
This model is a fine-tuned version of Yuhhi/tf_model.h5 on an unknown dataset.
It achieves the following results on the evaluation set:
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation d... | [
"# ai-text-detector-version-2\r\n\r\nThis model is a fine-tuned version of Yuhhi/tf_model.h5 on an unknown dataset.\r\nIt achieves the following results on the evaluation set:",
"## Model description\r\n\r\nMore information needed",
"## Intended uses & limitations\r\n\r\nMore information needed",
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null | transformers |
# Uploaded model
- **Developed by:** hrishikesh1991
- **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/un... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | hrishikesh1991/llama3-8b-oig-unsloth_V2 | null | [
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] | null | 2024-05-01T03:06:33+00:00 | [] | [
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|
# Uploaded model
- Developed by: hrishikesh1991
- 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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text-generation | transformers |
02/05/2024: Fixed Vocab issues related to GGUF conversion.
# D_AU-Tiefighter-OrcaMaid-V3-13B-32k-slerp
D_AU-Tiefighter-OrcaMaid-V3-13B-32k-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [KoboldAI/LLaMA2-13B-Tiefi... | {"tags": ["merge", "mergekit", "lazymergekit", "KoboldAI/LLaMA2-13B-Tiefighter", "ddh0/OrcaMaid-v3-13b-32k"], "base_model": ["KoboldAI/LLaMA2-13B-Tiefighter", "ddh0/OrcaMaid-v3-13b-32k"]} | DavidAU/D_AU-Tiefighter-OrcaMaid-V3-13B-32k-slerp | null | [
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02/05/2024: Fixed Vocab issues related to GGUF conversion.
# D_AU-Tiefighter-OrcaMaid-V3-13B-32k-slerp
D_AU-Tiefighter-OrcaMaid-V3-13B-32k-slerp is a merge of the following models using LazyMergekit:
* KoboldAI/LLaMA2-13B-Tiefighter
* ddh0/OrcaMaid-v3-13b-32k
## Configuration
## Usage
| [
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text-generation | transformers |
# **csg-wukong-1B-orpo-bf16** [[中文]](#chinese) [[English]](#english)
<a id="english"></a>
<p align="center">
<img width="900px" alt="OpenCSG" src="./csg-wukong-logo-green.jpg">
</p>
<p align="center"><a href="https://opencsg.com/models">[OpenCSG Community]</a> <a href="https://github.com/opencsgs">[... | {"language": ["en"], "license": "apache-2.0", "tags": ["code"], "pipeline_tag": "text-generation"} | opencsg/csg-wukong-1B-orpo-bf16 | null | [
"transformers",
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"text-generation",
"code",
"conversational",
"en",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-01T03:10:22+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #code #conversational #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# csg-wukong-1B-orpo-bf16 [[中文]](#chinese) [[English]](#english)
<a id="english"></a>
<p align="center">
<img width="900px" alt="OpenCSG" src="./URL">
</p>
<p align="center"><a href="URL Community]</a> <a href="URL <a href="URL <a href="URL </p>
</div>
OpenCSG stands for Converged resources, Sof... | [
"# csg-wukong-1B-orpo-bf16 [[中文]](#chinese) [[English]](#english)\n\n<a id=\"english\"></a>\n\n<p align=\"center\">\n<img width=\"900px\" alt=\"OpenCSG\" src=\"./URL\">\n</p>\n\n<p align=\"center\"><a href=\"URL Community]</a> <a href=\"URL <a href=\"URL <a href=\"URL </p>\n\n\n</div>\nOpenCSG stand... | [
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text-generation | transformers | # IceLatteRP-7b
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
I'm preaty satisfied with this result.
For feedback http... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge", "alpaca", "mistral", "not-for-all-audiences", "nsfw"], "model-index": [{"name": "IceLatteRP-7b", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "AI2 Reasoning Challenge (25-Shot)",... | icefog72/IceLatteRP-7b | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"alpaca",
"not-for-all-audiences",
"nsfw",
"license:cc-by-nc-4.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-01T03:10:57+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #alpaca #not-for-all-audiences #nsfw #license-cc-by-nc-4.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| IceLatteRP-7b
=============
!image/png
This is a merge of pre-trained language models created using mergekit.
Merge Details
-------------
I'm preaty satisfied with this result.
For feedback URL
Useful stuff URL
### Merge Method
This model was merged using the SLERP merge method.
Prompt template: Alpaca, m... | [
"### Merge Method\n\n\nThis model was merged using the SLERP merge method.\nPrompt template: Alpaca, maybe ChatML\n\n\n* URL for quanting exl2 included.\n\n\n* 4.2bpw-exl2\n* 6.5bpw-exl2\n* 8bpw-exl2\n\n\nthx mradermacher for\n\n\n* mradermacher/IceLatteRP-7b-GGUF",
"### Models Merged\n\n\nThe following models we... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #mergekit #merge #alpaca #not-for-all-audiences #nsfw #license-cc-by-nc-4.0 #model-index #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# taiwanllm_7b_lora_completion_only
This model is a fine-tuned version of [yentinglin/Taiwan-LLM-7B-v2.1-chat](https://huggingface... | {"language": ["zh"], "license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "nycu-112-2-deeplearning-hw2", "generated_from_trainer"], "datasets": ["DandinPower/ZH-Reading-Comprehension-TaiwanLlama-chat"], "base_model": "yentinglin/Taiwan-LLM-7B-v2.1-chat", "model-index": [{"name": "taiwanllm_7b_lora_co... | DandinPower/taiwanllm_7b_lora_completion_only | null | [
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"nycu-112-2-deeplearning-hw2",
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"dataset:DandinPower/ZH-Reading-Comprehension-TaiwanLlama-chat",
"base_model:yentinglin/Taiwan-LLM-7B-v2.1-chat",
"license:apache-2.0",
"region:us"
] | null | 2024-05-01T03:11:17+00:00 | [] | [
"zh"
] | TAGS
#peft #safetensors #trl #sft #nycu-112-2-deeplearning-hw2 #generated_from_trainer #zh #dataset-DandinPower/ZH-Reading-Comprehension-TaiwanLlama-chat #base_model-yentinglin/Taiwan-LLM-7B-v2.1-chat #license-apache-2.0 #region-us
| taiwanllm\_7b\_lora\_completion\_only
=====================================
This model is a fine-tuned version of yentinglin/Taiwan-LLM-7B-v2.1-chat on the DandinPower/ZH-Reading-Comprehension-TaiwanLlama-chat dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0867
Model description
-----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 2\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 16\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... | {"library_name": "transformers", "tags": []} | paulo037/stable-code-instruct-3b-syntetic-1000-20-epoch | null | [
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-05-01T03:17:52+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-to-image | diffusers |
# Normal-Depth Diffusion Model
This is an *unofficial* export of the original normal-depth diffusion model (https://github.com/modelscope/normal-depth-diffusion) to the standard diffusers model format.
Can be direcetly loaded via diffusers' `StableDiffusionPipeline`
![overview](https://github.com/modelscope/normal-... | {"language": ["en"], "license": "apache-2.0", "library_name": "diffusers"} | nexuslrf/nd-diffusion | null | [
"diffusers",
"en",
"license:apache-2.0",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-05-01T03:18:53+00:00 | [] | [
"en"
] | TAGS
#diffusers #en #license-apache-2.0 #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# Normal-Depth Diffusion Model
This is an *unofficial* export of the original normal-depth diffusion model (URL to the standard diffusers model format.
Can be direcetly loaded via diffusers' 'StableDiffusionPipeline'
!overview
All the credit to the original author of normal-depth diffusion model (URL
| [
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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)
zephyr-7b-beta - bnb 4bits
- Model creator: https://huggingface.co/HuggingFaceH4/
- Original model: https://huggingface.co/H... | {} | RichardErkhov/HuggingFaceH4_-_zephyr-7b-beta-4bits | null | [
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"text-generation",
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"arxiv:2310.16944",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-05-01T03:19:06+00:00 | [
"2305.18290",
"2310.16944"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #arxiv-2305.18290 #arxiv-2310.16944 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
zephyr-7b-beta - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
tags:
* generated\_from\_trainer
license: mit
datasets:
* HuggingFaceH4/ultrachat\_200k
* HuggingFaceH4/ul... | [
"### Model Sources\n\n\n* Repository: URL\n* Demo: URL\n* Chatbot Arena: Evaluate Zephyr 7B against 10+ LLMs in the LMSYS arena: URL\n\n\nPerformance\n-----------\n\n\nAt the time of release, Zephyr-7B-β is the highest ranked 7B chat model on the MT-Bench and AlpacaEval benchmarks:\n\n\n\nIn particular, on several ... | [
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null | null |
# gagagiga/Llama-3-MAAL-8B-Instruct-v0.1-Q8_0-GGUF
This model was converted to GGUF format from [`maum-ai/Llama-3-MAAL-8B-Instruct-v0.1`](https://huggingface.co/maum-ai/Llama-3-MAAL-8B-Instruct-v0.1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to t... | {"language": ["en", "ko"], "license": "llama3", "tags": ["facebook", "meta", "llama", "llama-3", "llama-3-ko", "llama-cpp", "gguf-my-repo"], "base_model": ["meta-llama/Meta-Llama-3-8B-Instruct"]} | gagagiga/Llama-3-MAAL-8B-Instruct-v0.1-Q8_0-GGUF | null | [
"gguf",
"facebook",
"meta",
"llama",
"llama-3",
"llama-3-ko",
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"en",
"ko",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:llama3",
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] | null | 2024-05-01T03:20:07+00:00 | [] | [
"en",
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|
# gagagiga/Llama-3-MAAL-8B-Instruct-v0.1-Q8_0-GGUF
This model was converted to GGUF format from 'maum-ai/Llama-3-MAAL-8B-Instruct-v0.1' 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 C... | [
"# gagagiga/Llama-3-MAAL-8B-Instruct-v0.1-Q8_0-GGUF\nThis model was converted to GGUF format from 'maum-ai/Llama-3-MAAL-8B-Instruct-v0.1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL... | [
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"# gagagiga/Llama-3-MAAL-8B-Instruct-v0.1-Q8_0-GGUF\nThis model was converted to GGUF format from 'maum-ai/Llama-3-MAAL-8B-Instruct-v0.1' using ... | [
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"TAGS\n#gguf #facebook #meta #llama #llama-3 #llama-3-ko #llama-cpp #gguf-my-repo #en #ko #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-llama3 #region-us \n# gagagiga/Llama-3-MAAL-8B-Instruct-v0.1-Q8_0-GGUF\nThis model was converted to GGUF format from 'maum-ai/Llama-3-MAAL-8B-Instruct-v0.1' using URL vi... |
reinforcement-learning | stable-baselines3 |
# **ppo** Agent playing **LunarLander-v2**
This is a trained model of a **ppo** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "ppo", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | suryaanthony/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-05-01T03:22:35+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# ppo Agent playing LunarLander-v2
This is a trained model of a ppo agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# ppo Agent playing LunarLander-v2\nThis is a trained model of a ppo agent playing LunarLander-v2\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# ppo Agent playing LunarLander-v2\nThis is a trained model of a ppo agent playing LunarLander-v2\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add you... | [
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"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# ppo Agent playing LunarLander-v2\nThis is a trained model of a ppo agent playing LunarLander-v2\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add your code"
] |
null | null |
# gagagiga/Llama-3-MAAL-8B-Instruct-v0.1-Q5_K_M-GGUF
This model was converted to GGUF format from [`maum-ai/Llama-3-MAAL-8B-Instruct-v0.1`](https://huggingface.co/maum-ai/Llama-3-MAAL-8B-Instruct-v0.1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to... | {"language": ["en", "ko"], "license": "llama3", "tags": ["facebook", "meta", "llama", "llama-3", "llama-3-ko", "llama-cpp", "gguf-my-repo"], "base_model": ["meta-llama/Meta-Llama-3-8B-Instruct"]} | gagagiga/Llama-3-MAAL-8B-Instruct-v0.1-Q5_K_M-GGUF | null | [
"gguf",
"facebook",
"meta",
"llama",
"llama-3",
"llama-3-ko",
"llama-cpp",
"gguf-my-repo",
"en",
"ko",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:llama3",
"region:us"
] | null | 2024-05-01T03:23:21+00:00 | [] | [
"en",
"ko"
] | TAGS
#gguf #facebook #meta #llama #llama-3 #llama-3-ko #llama-cpp #gguf-my-repo #en #ko #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-llama3 #region-us
|
# gagagiga/Llama-3-MAAL-8B-Instruct-v0.1-Q5_K_M-GGUF
This model was converted to GGUF format from 'maum-ai/Llama-3-MAAL-8B-Instruct-v0.1' 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... | [
"# gagagiga/Llama-3-MAAL-8B-Instruct-v0.1-Q5_K_M-GGUF\nThis model was converted to GGUF format from 'maum-ai/Llama-3-MAAL-8B-Instruct-v0.1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the U... | [
"TAGS\n#gguf #facebook #meta #llama #llama-3 #llama-3-ko #llama-cpp #gguf-my-repo #en #ko #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-llama3 #region-us \n",
"# gagagiga/Llama-3-MAAL-8B-Instruct-v0.1-Q5_K_M-GGUF\nThis model was converted to GGUF format from 'maum-ai/Llama-3-MAAL-8B-Instruct-v0.1' usin... | [
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"TAGS\n#gguf #facebook #meta #llama #llama-3 #llama-3-ko #llama-cpp #gguf-my-repo #en #ko #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-llama3 #region-us \n# gagagiga/Llama-3-MAAL-8B-Instruct-v0.1-Q5_K_M-GGUF\nThis model was converted to GGUF format from 'maum-ai/Llama-3-MAAL-8B-Instruct-v0.1' using URL ... |
null | transformers |
# Uploaded model
- **Developed by:** hungsvdut2k2
- **License:** apache-2.0
- **Finetuned from model :** Viet-Mistral/Vistral-7B-Chat
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/u... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "gguf"], "base_model": "Viet-Mistral/Vistral-7B-Chat"} | hungsvdut2k2/medical-vistral-7b-gguf | null | [
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"mistral",
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"unsloth",
"en",
"base_model:Viet-Mistral/Vistral-7B-Chat",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-05-01T03:23:32+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mistral #text-generation-inference #unsloth #en #base_model-Viet-Mistral/Vistral-7B-Chat #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: hungsvdut2k2
- License: apache-2.0
- Finetuned from model : Viet-Mistral/Vistral-7B-Chat
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: hungsvdut2k2\n- License: apache-2.0\n- Finetuned from model : Viet-Mistral/Vistral-7B-Chat\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
"TAGS\n#transformers #gguf #mistral #text-generation-inference #unsloth #en #base_model-Viet-Mistral/Vistral-7B-Chat #license-apache-2.0 #endpoints_compatible #region-us \n",
"# Uploaded model\n\n- Developed by: hungsvdut2k2\n- License: apache-2.0\n- Finetuned from model : Viet-Mistral/Vistral-7B-Chat\n\nThis mi... | [
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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)
zephyr-7b-beta - bnb 8bits
- Model creator: https://huggingface.co/HuggingFaceH4/
- Original model: https://huggingface.co/H... | {} | RichardErkhov/HuggingFaceH4_-_zephyr-7b-beta-8bits | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"arxiv:2305.18290",
"arxiv:2310.16944",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-05-01T03:24:23+00:00 | [
"2305.18290",
"2310.16944"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #conversational #arxiv-2305.18290 #arxiv-2310.16944 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
zephyr-7b-beta - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
tags:
* generated\_from\_trainer
license: mit
datasets:
* HuggingFaceH4/ultrachat\_200k
* HuggingFaceH4/ul... | [
"### Model Sources\n\n\n* Repository: URL\n* Demo: URL\n* Chatbot Arena: Evaluate Zephyr 7B against 10+ LLMs in the LMSYS arena: URL\n\n\nPerformance\n-----------\n\n\nAt the time of release, Zephyr-7B-β is the highest ranked 7B chat model on the MT-Bench and AlpacaEval benchmarks:\n\n\n\nIn particular, on several ... | [
"TAGS\n#transformers #safetensors #mistral #text-generation #conversational #arxiv-2305.18290 #arxiv-2310.16944 #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us \n",
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null | null |
# gagagiga/Llama-3-MAAL-8B-Instruct-v0.1-Q4_K_M-GGUF
This model was converted to GGUF format from [`maum-ai/Llama-3-MAAL-8B-Instruct-v0.1`](https://huggingface.co/maum-ai/Llama-3-MAAL-8B-Instruct-v0.1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to... | {"language": ["en", "ko"], "license": "llama3", "tags": ["facebook", "meta", "llama", "llama-3", "llama-3-ko", "llama-cpp", "gguf-my-repo"], "base_model": ["meta-llama/Meta-Llama-3-8B-Instruct"]} | gagagiga/Llama-3-MAAL-8B-Instruct-v0.1-Q4_K_M-GGUF | null | [
"gguf",
"facebook",
"meta",
"llama",
"llama-3",
"llama-3-ko",
"llama-cpp",
"gguf-my-repo",
"en",
"ko",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:llama3",
"region:us"
] | null | 2024-05-01T03:26:31+00:00 | [] | [
"en",
"ko"
] | TAGS
#gguf #facebook #meta #llama #llama-3 #llama-3-ko #llama-cpp #gguf-my-repo #en #ko #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-llama3 #region-us
|
# gagagiga/Llama-3-MAAL-8B-Instruct-v0.1-Q4_K_M-GGUF
This model was converted to GGUF format from 'maum-ai/Llama-3-MAAL-8B-Instruct-v0.1' 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... | [
"# gagagiga/Llama-3-MAAL-8B-Instruct-v0.1-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'maum-ai/Llama-3-MAAL-8B-Instruct-v0.1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the U... | [
"TAGS\n#gguf #facebook #meta #llama #llama-3 #llama-3-ko #llama-cpp #gguf-my-repo #en #ko #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-llama3 #region-us \n",
"# gagagiga/Llama-3-MAAL-8B-Instruct-v0.1-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'maum-ai/Llama-3-MAAL-8B-Instruct-v0.1' usin... | [
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"TAGS\n#gguf #facebook #meta #llama #llama-3 #llama-3-ko #llama-cpp #gguf-my-repo #en #ko #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-llama3 #region-us \n# gagagiga/Llama-3-MAAL-8B-Instruct-v0.1-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'maum-ai/Llama-3-MAAL-8B-Instruct-v0.1' using URL ... |
text-generation | transformers |
Self trained GPT-2 large. Around 770M parameters.
The tokenizer is the one from https://huggingface.co/openai-community/gpt2.
It is being trained on around 400B tokens and this is step 40k.
The evaluation is being conducted now.
## License
This model is available under the Apache 2.0 License. Well, also MIT Lice... | {"license": "apache-2.0"} | DrNicefellow/GPT-2-Large-40k-steps | null | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-05-01T03:27:52+00:00 | [] | [] | TAGS
#transformers #pytorch #gpt2 #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
Self trained GPT-2 large. Around 770M parameters.
The tokenizer is the one from URL
It is being trained on around 400B tokens and this is step 40k.
The evaluation is being conducted now.
## License
This model is available under the Apache 2.0 License. Well, also MIT License. So both should be followed.
## Disc... | [
"## License\n\nThis model is available under the Apache 2.0 License. Well, also MIT License. So both should be followed.",
"## Discord Server\n\nJoin our Discord server here.",
"## Feeling Generous? \n\nEager to buy me a cup of 2$ coffe or iced tea? Sure, here is the link: URL Please add a note on which one you... | [
"TAGS\n#transformers #pytorch #gpt2 #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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"## Discord Server\n\nJoin ou... | [
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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": "Jennny/merged_sft_llama2_pku"} | Jennny/bb_pku | null | [
"peft",
"pytorch",
"safetensors",
"arxiv:1910.09700",
"base_model:Jennny/merged_sft_llama2_pku",
"region:us"
] | null | 2024-05-01T03:29:22+00:00 | [
"1910.09700"
] | [] | TAGS
#peft #pytorch #safetensors #arxiv-1910.09700 #base_model-Jennny/merged_sft_llama2_pku #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]:
#... | [
"# Model Card for Model ID",
"## Model Details",
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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)
mistral-7b-grok - bnb 4bits
- Model creator: https://huggingface.co/HuggingFaceH4/
- Original model: https://huggingface.co/... | {} | RichardErkhov/HuggingFaceH4_-_mistral-7b-grok-4bits | null | [
"transformers",
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"endpoints_compatible",
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#transformers #safetensors #mistral #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
mistral-7b-grok - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: apache-2.0
base\_model: mistralai/Mistral-7B-v0.1
tags:
* alignment-handbook
* generated\_from\_... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 8\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 256\n... | [
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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]:** ... | {"language": ["ko"], "library_name": "peft", "datasets": ["JosephLee/science_textbook_elementary_kor"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct"} | JosephLee/science_textbook_LLama3_8B_instruct | null | [
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"dataset:JosephLee/science_textbook_elementary_kor",
"arxiv:1910.09700",
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"region:us"
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"1910.09700"
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|
# 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]:
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null | transformers |
**This model is trained for the solely purpose of extracting title, name, keywords, short descriptions from any Japanese articles and returning them in a unified JSON format.**
**このモデルは、日本語の記事を抽出し、統一されたJSON形式で返すために訓練されています。**
# Uploaded model
- **Developed by:** Evolany AI
- **License:** apache-2.0
- **Finetune... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "Japanese", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | Evolany-AI/Llama-3-8b-JP-Article-Summarization-4bit-v0.2 | null | [
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|
This model is trained for the solely purpose of extracting title, name, keywords, short descriptions from any Japanese articles and returning them in a unified JSON format.
このモデルは、日本語の記事を抽出し、統一されたJSON形式で返すために訓練されています。
# Uploaded model
- Developed by: Evolany AI
- License: apache-2.0
- Finetuned from model : uns... | [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
zephyr-7b-beta - GGUF
- Model creator: https://huggingface.co/HuggingFaceH4/
- Original model: https://huggingface.co/Huggin... | {} | RichardErkhov/HuggingFaceH4_-_zephyr-7b-beta-gguf | null | [
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#gguf #arxiv-2305.18290 #arxiv-2310.16944 #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
zephyr-7b-beta - GGUF
* Model creator: URL
* Original model: URL
Name: zephyr-7b-beta.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.53GB
Name: zephyr-7b-beta.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 2.81GB
Name: zephyr-7b-beta.IQ3\_S.gguf,... | [
"### Model Sources\n\n\n* Repository: URL\n* Demo: URL\n* Chatbot Arena: Evaluate Zephyr 7B against 10+ LLMs in the LMSYS arena: URL\n\n\nPerformance\n-----------\n\n\nAt the time of release, Zephyr-7B-β is the highest ranked 7B chat model on the MT-Bench and AlpacaEval benchmarks:\n\n\n\nIn particular, on several ... | [
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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/Meta-Llama-3-8B-Instruct"} | JosephLee/society_textbook_LLama3_8B_instruct | null | [
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"1910.09700"
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#peft #safetensors #arxiv-1910.09700 #base_model-meta-llama/Meta-Llama-3-8B-Instruct #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
mistral-7b-grok - bnb 8bits
- Model creator: https://huggingface.co/HuggingFaceH4/
- Original model: https://huggingface.co/... | {} | RichardErkhov/HuggingFaceH4_-_mistral-7b-grok-8bits | null | [
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#transformers #safetensors #mistral #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
mistral-7b-grok - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: apache-2.0
base\_model: mistralai/Mistral-7B-v0.1
tags:
* alignment-handbook
* generated\_from\_... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 8\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 256\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... | {"library_name": "transformers", "tags": []} | jhmejia/Classifai-ORPO-Meta-Llama-3-8B-Instruct | null | [
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"region:us"
] | null | 2024-05-01T03:36:45+00:00 | [
"1910.09700"
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#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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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. -->
# nash_dpo_iter_3
This model is a fine-tuned version of [YYYYYYibo/nash_dpo_iter_2](https://huggingface.co/YYYYYYibo/nash_dpo_iter... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo"], "datasets": ["updated", "original"], "base_model": "alignment-handbook/zephyr-7b-sft-full", "model-index": [{"name": "nash_dpo_iter_3", "results": []}]} | YYYYYYibo/nash_dpo_iter_3 | null | [
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| nash\_dpo\_iter\_3
==================
This model is a fine-tuned version of YYYYYYibo/nash\_dpo\_iter\_2 on the updated and the original datasets.
It achieves the following results on the evaluation set:
* Loss: 0.6047
* Rewards/chosen: -0.1412
* Rewards/rejected: -0.3752
* Rewards/accuracies: 0.6980
* Rewards/marg... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-06\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 128\... | [
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text-generation | transformers |
## Model Details
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available open sourc... | {"language": ["en"], "license": "other", "tags": ["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: April 18, 2024\n\"Agreemen... | sephwalker3/llama3v1 | null | [
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"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"6-bit",
"region:us"
] | null | 2024-05-01T03:38:29+00:00 | [] | [
"en"
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| Model Details
-------------
Meta developed and released the Meta Llama 3 family of large language models (LLMs), a collection of pretrained and instruction tuned generative text models in 8 and 70B sizes. The Llama 3 instruction tuned models are optimized for dialogue use cases and outperform many of the available op... | [
"### 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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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-it
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-rob... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base-finetuned-panx-it", "results": []}]} | u00890358/xlm-roberta-base-finetuned-panx-it | null | [
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"base_model:xlm-roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-05-01T03:38:46+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-it
==================================
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: 0.2650
* F1: 0.8307
Model description
-----------------
More information needed
Intended uses & l... | [
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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-meduim-mongolian
This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-med... | {"language": ["mn"], "license": "apache-2.0", "library_name": "transformers", "tags": ["generated_from_trainer"], "datasets": ["Cafet/whisper-mongolian-final"], "metrics": ["wer"], "base_model": "openai/whisper-medium", "pipeline_tag": "automatic-speech-recognition", "model-index": [{"name": "whisper-meduim-mongolian",... | Cafet/whisper-meduim-mongolian | null | [
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"license:apache-2.0",
"endpoints_compatible",
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"mn"
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| whisper-meduim-mongolian
========================
This model is a fine-tuned version of openai/whisper-medium on custom.
It achieves the following results on the evaluation set:
* Loss: 0.3098
* Wer: 26.8664
### Training hyperparameters
The following hyperparameters were used during training:
* learning\_rate... | [
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text-generation | transformers |
# D_AU-Tess-7B-v2.0-Yarn-Mistral-7b-128k-DPO
D_AU-Tess-7B-v2.0-Yarn-Mistral-7b-128k-DPO is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [migtissera/Tess-7B-v2.0](https://huggingface.co/migtissera/Tess-7B-v2.0)
* [Eric111... | {"tags": ["merge", "mergekit", "lazymergekit", "migtissera/Tess-7B-v2.0", "Eric111/Yarn-Mistral-7b-128k-DPO"], "base_model": ["migtissera/Tess-7B-v2.0", "Eric111/Yarn-Mistral-7b-128k-DPO"]} | DavidAU/D_AU-Tess-7B-v2.0-Yarn-Mistral-7b-128k-DPO | null | [
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"endp... | null | 2024-05-01T03:44:00+00:00 | [] | [] | TAGS
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# D_AU-Tess-7B-v2.0-Yarn-Mistral-7b-128k-DPO
D_AU-Tess-7B-v2.0-Yarn-Mistral-7b-128k-DPO is a merge of the following models using LazyMergekit:
* migtissera/Tess-7B-v2.0
* Eric111/Yarn-Mistral-7b-128k-DPO
## Configuration
## Usage
| [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
mistral-7b-grok - GGUF
- Model creator: https://huggingface.co/HuggingFaceH4/
- Original model: https://huggingface.co/Huggi... | {} | RichardErkhov/HuggingFaceH4_-_mistral-7b-grok-gguf | null | [
"gguf",
"region:us"
] | null | 2024-05-01T03:46:06+00:00 | [] | [] | TAGS
#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
mistral-7b-grok - GGUF
* Model creator: URL
* Original model: URL
Name: mistral-7b-grok.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.53GB
Name: mistral-7b-grok.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 2.81GB
Name: mistral-7b-grok.IQ3\_S.g... | [
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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": []} | Promptengineering/tinyllama-colorist-v0 | null | [
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"region:us"
] | null | 2024-05-01T03:46:22+00:00 | [
"1910.09700"
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#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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text-generation | transformers |
# Dolphin 2.9 Mixtral 8x22b 🐬
Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations
Discord: https://discord.gg/8fbBeC7ZGx
<img src="https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/ldkN1J0WIDQwU4vutGYiD.png" width="600" />
My apprecia... | {"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer", "axolotl"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k"... | blockblockblock/dolphin-2.9-mixtral-8x22b-bpw2.5-exl2 | null | [
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"dataset:cognitivecomputations/dolphin-cod... | null | 2024-05-01T03:46:30+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #mixtral #text-generation #generated_from_trainer #axolotl #conversational #en #dataset-cognitivecomputations/Dolphin-2.9 #dataset-teknium/OpenHermes-2.5 #dataset-m-a-p/CodeFeedback-Filtered-Instruction #dataset-cognitivecomputations/dolphin-coder #dataset-cognitivecomputations/samantha-... | Dolphin 2.9 Mixtral 8x22b
=========================
Curated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations
Discord: URL
<img src="URL width="600" />
My appreciation for the sponsors of Dolphin 2.9:
* Crusoe Cloud - provided excellent on-demand 8xH100 node
This... | [
"### Training results",
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null | null | ### Coming Soon!!!
### 基于alpaca-data-gpt4-chinese、sft_zh数据集对Llama-3-8B-Instruct进行微调。
### 模型：
- https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct
### 数据集：
- https://huggingface.co/datasets/TigerResearch/sft_zh
- https://huggingface.co/datasets/silk-road/alpaca-data-gpt4-chinese
### 结果
| 模型名称 ... | {"license": "llama3", "datasets": ["TigerResearch/sft_zh", "silk-road/alpaca-data-gpt4-chinese"]} | REILX/Llama-3-8B-Instruct-Tiger-alpaca-chinese-lora | null | [
"dataset:TigerResearch/sft_zh",
"dataset:silk-road/alpaca-data-gpt4-chinese",
"license:llama3",
"region:us"
] | null | 2024-05-01T03:48:03+00:00 | [] | [] | TAGS
#dataset-TigerResearch/sft_zh #dataset-silk-road/alpaca-data-gpt4-chinese #license-llama3 #region-us
| ### Coming Soon!!!
### 基于alpaca-data-gpt4-chinese、sft\_zh数据集对Llama-3-8B-Instruct进行微调。
### 模型：
* URL
### 数据集：
* URL
* URL
### 结果
模型名称: LLama3, CEVAL: 49.91, MMLU: 66.62
模型名称: LLama3-Instruct, CEVAL: 50.55, MMLU: 67.15
模型名称: LLama3-Instruct-sft-lora-tigerbot-alpacadatagpt4-10epoch, CEVAL: 53.65, MMLU: 68.09... | [
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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": []} | paulo037/stable-code-instruct-3b-syntetic-1000-7-epoch | null | [
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"arxiv:1910.09700",
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"region:us"
] | null | 2024-05-01T03:50:25+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.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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null | null |
# Meta-Llama-3-8B-Instruct-GGUF
- This is GGUF quantized version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) created using llama.cpp.
- imatrix from [here](https://github.com/ggerganov/llama.cpp/discussions/5263#discussioncomment-8395384).
- Using llam... | {"license": "llama3"} | AriWeinstein/Meta-Llama-3-8B-GGUF-Qx_0-imatrix | null | [
"llama",
"license:llama3",
"region:us"
] | null | 2024-05-01T03:51:18+00:00 | [] | [] | TAGS
#llama #license-llama3 #region-us
|
# Meta-Llama-3-8B-Instruct-GGUF
- This is GGUF quantized version of meta-llama/Meta-Llama-3-8B-Instruct created using URL.
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| [
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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. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "datas... | patymun/distilbert-base-uncased-finetuned-emotion | null | [
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"safetensors",
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| distilbert-base-uncased-finetuned-emotion
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2191
* Accuracy: 0.9265
* F1: 0.9264
Model description
-----------------
Mo... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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text-generation | transformers |
# 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": []} | tricktreat/llama-2-7b-chat-12layers-T6-lora612 | 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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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | RobertoFuentesRisco/ppo-LunarLander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | jhmejia/Classifai-ORPO-Meta-Llama-3-8B-Instruct-2 | null | [
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"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | trottdw/C104llama3Orca | null | [
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|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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unconditional-image-generation | diffusers |
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('nissin1325/sd-class-butterf... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | nissin1325/sd-class-butterflies-32 | null | [
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"safetensors",
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"unconditional-image-generation",
"diffusion-models-class",
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#diffusers #safetensors #pytorch #unconditional-image-generation #diffusion-models-class #license-mit #diffusers-DDPMPipeline #region-us
|
# Model Card for Unit 1 of the Diffusion Models Class
This model is a diffusion model for unconditional image generation of cute .
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] |
text-generation | transformers | Llamafyd version of Qwen .5B further fine tuned on wiki, math, science, and chat datasets.
Based on Cinder data.
As well as Cinder character specific data, a mix of RAG generated Q and A of world knowledge, STEM topics, and Cinder Character data. I suplimented the Cinder character with an abreviated Samantha dataset ... | {"license": "mit"} | Josephgflowers/Qllama-tiny-.5B-test-1 | null | [
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"region:us"
] | null | 2024-05-01T04:10:22+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Llamafyd version of Qwen .5B further fine tuned on wiki, math, science, and chat datasets.
Based on Cinder data.
As well as Cinder character specific data, a mix of RAG generated Q and A of world knowledge, STEM topics, and Cinder Character data. I suplimented the Cinder character with an abreviated Samantha dataset ... | [] | [
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null | null |
# MergerixNeuralsynthesis-7B
MergerixNeuralsynthesis-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: MiniMoog/Mergerix-7b-v0.3
- model: Kukedlc/NeuralSynthes... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/MergerixNeuralsynthesis-7B | null | [
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"automerger",
"license:apache-2.0",
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#merge #mergekit #lazymergekit #automerger #license-apache-2.0 #region-us
|
# MergerixNeuralsynthesis-7B
MergerixNeuralsynthesis-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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null | transformers |
# Uploaded model
- **Developed by:** Justin-Y
- **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"} | Justin-Y/lora_model | null | [
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|
# Uploaded model
- Developed by: Justin-Y
- 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.
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Roberta-base-Rewritten-commit_messages_v2
This model was trained from scratch on an unknown dataset.
It achieves the following r... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "model-index": [{"name": "Roberta-base-Rewritten-commit_messages_v2", "results": []}]} | ManojAlexender/Roberta-base-Rewritten-commit_messages_v2 | null | [
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| Roberta-base-Rewritten-commit\_messages\_v2
===========================================
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.4196
* Accuracy: 0.7704
* F1: 0.7707
* Precision: 0.7811
* Recall: 0.7704
Model description
--------... | [
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null | null |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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text-to-video | diffusers |
# LLM-grounded Video Diffusion Models
[Long Lian](https://tonylian.com/), [Baifeng Shi](https://bfshi.github.io/), [Adam Yala](https://www.adamyala.org/), [Trevor Darrell](https://people.eecs.berkeley.edu/~trevor/), [Boyi Li](https://sites.google.com/site/boyilics/home) at UC Berkeley/UCSF. **ICLR 2024**.
[Project Pa... | {"tags": ["text-to-video"], "duplicated_from": "cerspense/zeroscope_v2_576w"} | longlian/text-to-video-lvd-zs | null | [
"diffusers",
"text-to-video",
"region:us"
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#diffusers #text-to-video #region-us
|
# LLM-grounded Video Diffusion Models
Long Lian, Baifeng Shi, Adam Yala, Trevor Darrell, Boyi Li at UC Berkeley/UCSF. ICLR 2024.
Project Page | Related Project: LMD | Citation
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Similar to LLM-grounded Diffusion... | [
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null | transformers |
# Uploaded model
- **Developed by:** Jacob1802
- **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"} | Jacob1802/newllama3-8b-oig-unsloth-merged | null | [
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# Uploaded model
- Developed by: Jacob1802
- 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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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": []} | nuebaek/komt_mistral_mss_generation | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
Step 2: Make the merge a little more Tiefighterish...
03/05/2024: Fixed config files / context issues.
# D_AU-Tiefighter-Plus-OrcaMaid-V3-13B-32k-slerp
D_AU-Tiefighter-Plus-OrcaMaid-V3-13B-32k-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJ... | {"tags": ["merge", "mergekit", "lazymergekit", "KoboldAI/LLaMA2-13B-Tiefighter", "DavidAU/D_AU-Tiefighter-OrcaMaid-V3-13B-32k-slerp"], "base_model": ["KoboldAI/LLaMA2-13B-Tiefighter", "DavidAU/D_AU-Tiefighter-OrcaMaid-V3-13B-32k-slerp"]} | DavidAU/D_AU-Tiefighter-Plus-OrcaMaid-V3-13B-32k-slerp | null | [
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Step 2: Make the merge a little more Tiefighterish...
03/05/2024: Fixed config files / context issues.
# D_AU-Tiefighter-Plus-OrcaMaid-V3-13B-32k-slerp
D_AU-Tiefighter-Plus-OrcaMaid-V3-13B-32k-slerp is a merge of the following models using LazyMergekit:
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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": []} | paulo037/stable-code-instruct-3b-syntetic-1000-10-epoch | null | [
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# Model Card for Model ID
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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": []} | nessa01macias/gemma-7b_sustainability-qa | null | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# temp-1-distilled-code-llama
This model is a fine-tuned version of [anudaw/temp-1-distilled-code-llama](https://huggingface.co/an... | {"license": "apache-2.0", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "anudaw/temp-1-distilled-code-llama", "model-index": [{"name": "temp-1-distilled-code-llama", "results": []}]} | anudaw/temp-1-distilled-code-llama | null | [
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|
# temp-1-distilled-code-llama
This model is a fine-tuned version of anudaw/temp-1-distilled-code-llama on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### ... | [
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text-generation | transformers |
## Model description
Sampling-based watermark distilled [Pythia 1.4B](https://huggingface.co/EleutherAI/pythia-1.4b) using the KGW \\(k=0, \gamma=0.25, \delta=1\\) watermarking strategy in the paper [On the Learnability of Watermarks for Language Models](https://arxiv.org/abs/2312.04469).
### Training hyperparameter... | {"license": "apache-2.0", "tags": ["generated_from_trainer", "pythia"]} | cygu/pythia-1.4b-sampling-watermark-distill-kgw-k0-gamma0.25-delta1 | null | [
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|
## Model description
Sampling-based watermark distilled Pythia 1.4B using the KGW \\(k=0, \gamma=0.25, \delta=1\\) watermarking strategy in the paper On the Learnability of Watermarks for Language Models.
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- ... | [
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-base-multilingual-uncased-finetuned-urdu
This model is a fine-tuned version of [bert-base-multilingual-uncased](https://hug... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-base-multilingual-uncased", "model-index": [{"name": "bert-base-multilingual-uncased-finetuned-urdu", "results": []}]} | cxfajar197/bert-base-multilingual-uncased-finetuned-urdu | null | [
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| bert-base-multilingual-uncased-finetuned-urdu
=============================================
This model is a fine-tuned version of bert-base-multilingual-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.0077
Model description
-----------------
More information nee... | [
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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": []} | nuebaek/komt_mistral_insta_generation | null | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# temp-0.5-distilled-code-llama
This model is a fine-tuned version of [anudaw/temp-0.5-distilled-code-llama](https://huggingface.c... | {"license": "apache-2.0", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "anudaw/temp-0.5-distilled-code-llama", "model-index": [{"name": "temp-0.5-distilled-code-llama", "results": []}]} | anudaw/temp-0.5-distilled-code-llama | null | [
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|
# temp-0.5-distilled-code-llama
This model is a fine-tuned version of anudaw/temp-0.5-distilled-code-llama on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
... | [
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text-generation | transformers |
## Model description
Sampling-based watermark distilled [Pythia 1.4B](https://huggingface.co/EleutherAI/pythia-1.4b) using the KGW \\(k=0, \gamma=0.25, \delta=2\\) watermarking strategy in the paper [On the Learnability of Watermarks for Language Models](https://arxiv.org/abs/2312.04469).
### Training hyperparameter... | {"license": "apache-2.0", "tags": ["generated_from_trainer", "pythia"]} | cygu/pythia-1.4b-sampling-watermark-distill-kgw-k0-gamma0.25-delta2 | null | [
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|
## Model description
Sampling-based watermark distilled Pythia 1.4B using the KGW \\(k=0, \gamma=0.25, \delta=2\\) watermarking strategy in the paper On the Learnability of Watermarks for Language Models.
### Training hyperparameters
The following hyperparameters were used during training:
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-qqp
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/dis... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-qqp", "results": []}]} | quanla/distilbert-base-uncased-finetuned-qqp | null | [
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#peft #tensorboard #safetensors #distilbert #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #region-us
| distilbert-base-uncased-finetuned-qqp
=====================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6501
* Accuracy: 0.624
* F1: 0.0
Model description
-----------------
More informatio... | [
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text-generation | transformers |
## Model description
Sampling-based watermark distilled [Pythia 1.4B](https://huggingface.co/EleutherAI/pythia-1.4b) using the KGW \\(k=2, \gamma=0.25, \delta=2\\) watermarking strategy in the paper [On the Learnability of Watermarks for Language Models](https://arxiv.org/abs/2312.04469).
### Training hyperparameter... | {"license": "apache-2.0", "tags": ["generated_from_trainer", "pythia"]} | cygu/pythia-1.4b-sampling-watermark-distill-kgw-k2-gamma0.25-delta2 | null | [
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|
## Model description
Sampling-based watermark distilled Pythia 1.4B using the KGW \\(k=2, \gamma=0.25, \delta=2\\) watermarking strategy in the paper On the Learnability of Watermarks for Language Models.
### Training hyperparameters
The following hyperparameters were used during training:
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null | diffusers |
# Model Card for Unit 4 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional audio generation of music in the genre Electronic
## Usage
<pre>
from IPython.display import Audio
from diffusers import DiffusionPipeline
pipe = Diffu... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-audio-generation", "diffusion-models-class"]} | kmpartner/audio-diffusion-electronic | null | [
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# Model Card for Unit 4 of the Diffusion Models Class
This model is a diffusion model for unconditional audio generation of music in the genre Electronic
## Usage
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
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text2text-generation | transformers | # T5_FINETUNE_Electrical_ts
# Fine-Tuned T5 Model for Root Cause Analysis
# Description
This model is a fine-tuned version of the T5 (Text-to-Text Transfer Transformer) base model, specifically tailored to predict actions based on provided root causes in industrial or technical settings. The model has been trained to ... | {} | Safawat/trouble-shooting-using-T5 | null | [
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| # T5_FINETUNE_Electrical_ts
# Fine-Tuned T5 Model for Root Cause Analysis
# Description
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
mistral-7b-anthropic - bnb 4bits
- Model creator: https://huggingface.co/HuggingFaceH4/
- Original model: https://huggingfac... | {} | RichardErkhov/HuggingFaceH4_-_mistral-7b-anthropic-4bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
mistral-7b-anthropic - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: apache-2.0
base\_model: HuggingFaceH4/mistral-7b-cai
tags:
* alignment-handbook
* generated... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** Jaspann
- **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/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Jaspann/test-model | null | [
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|
# Uploaded model
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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)
mistral-7b-anthropic - bnb 8bits
- Model creator: https://huggingface.co/HuggingFaceH4/
- Original model: https://huggingfac... | {} | RichardErkhov/HuggingFaceH4_-_mistral-7b-anthropic-8bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
mistral-7b-anthropic - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: apache-2.0
base\_model: HuggingFaceH4/mistral-7b-cai
tags:
* alignment-handbook
* generated... | [
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text-generation | 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]:** ... | {"language": ["en"], "library_name": "peft", "tags": ["text-generation", "code-generation", "text-to-text-generation"], "base_model": "meta-llama/Meta-Llama-3-70B-Instruct"} | aryansiddiqui/llama3v1 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
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- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
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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": []} | stvhuang/rcr-run-5pqr6lwp-90396-master-0_20240402T105012-ep42 | 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]:
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- License... | [
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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": []} | nem012/gemma2b-1e-5r32 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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- License... | [
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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": []} | goodakdali/testing_ins_add_adapter | 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:
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text-generation | null |
# gagagiga/Llama-3-Open-Ko-8B-Q4_K_M-GGUF
This model was converted to GGUF format from [`beomi/Llama-3-Open-Ko-8B`](https://huggingface.co/beomi/Llama-3-Open-Ko-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://hu... | {"language": ["en", "ko"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "llama-3-ko", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE"} | gagagiga/Llama-3-Open-Ko-8B-Q4_K_M-GGUF | null | [
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|
# gagagiga/Llama-3-Open-Ko-8B-Q4_K_M-GGUF
This model was converted to GGUF format from 'beomi/Llama-3-Open-Ko-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:
... | [
"# gagagiga/Llama-3-Open-Ko-8B-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'beomi/Llama-3-Open-Ko-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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text-generation | null |
# existmaster/Llama-3-8B-Instruct-Gradient-1048k-Q8_0-GGUF
This model was converted to GGUF format from [`gradientai/Llama-3-8B-Instruct-Gradient-1048k`](https://huggingface.co/gradientai/Llama-3-8B-Instruct-Gradient-1048k) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my... | {"language": ["en"], "license": "llama3", "tags": ["meta", "llama-3", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation"} | existmaster/Llama-3-8B-Instruct-Gradient-1048k-Q8_0-GGUF | null | [
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|
# existmaster/Llama-3-8B-Instruct-Gradient-1048k-Q8_0-GGUF
This model was converted to GGUF format from 'gradientai/Llama-3-8B-Instruct-Gradient-1048k' 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... | [
"# existmaster/Llama-3-8B-Instruct-Gradient-1048k-Q8_0-GGUF\nThis model was converted to GGUF format from 'gradientai/Llama-3-8B-Instruct-Gradient-1048k' 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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text-generation | transformers |
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
<!-- header... | {"language": ["en"], "license": "other", "tags": ["meta", "llama-3"], "model_name": "Llama-3-8B-Instruct-Gradient-1048k", "license_name": "llama3", "base_model": "gradientai/Llama-3-8B-Instruct-Gradient-1048k", "inference": false, "model_creator": "gradient.ai", "model_type": "llama", "pipeline_tag": "text-generation",... | second-state/Llama-3-8B-Instruct-Gradient-1048k-GGUF | null | [
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|
---
Llama-3-8B-Instruct-Gradient-1048k-GGUF
=======================================
Original Model
--------------
gradientai/Llama-3-8B-Instruct-Gradient-1048k
Run with LlamaEdge
------------------
* LlamaEdge version: v0.9.0 and above
* Prompt template
+ Prompt type: 'llama-3-chat'
+ ... | [] | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"license": "apache-2.0", "library_name": "peft", "base_model": "google/gemma-2b-it"} | azarafrooz/phi-gemma-nlaf-v1 | null | [
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|
# 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:
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
mistral-7b-anthropic - GGUF
- Model creator: https://huggingface.co/HuggingFaceH4/
- Original model: https://huggingface.co/... | {} | RichardErkhov/HuggingFaceH4_-_mistral-7b-anthropic-gguf | null | [
"gguf",
"region:us"
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#gguf #region-us
| Quantization made by Richard Erkhov.
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mistral-7b-anthropic - GGUF
* Model creator: URL
* Original model: URL
Name: mistral-7b-anthropic.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.53GB
Name: mistral-7b-anthropic.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 2.81GB
Name: mistral-7... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-07\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 8\n* total\\_train\\_batch\\_size: 16\n* total\\_eval\\_batch\\_size: 64\n* op... | [
"TAGS\n#gguf #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-07\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 8\n* total\\_train\\_batch\\_size: 16\n* total\... | [
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"TAGS\n#gguf #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-07\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 8\n* total\\_train\\_batch\\_size: 16\n* total\\_eval... |
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. -->
# outputs
This model is a fine-tuned version of [nextab/athena-2b-v1.5](https://huggingface.co/nextab/athena-2b-v1.5) on the None ... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "unsloth", "generated_from_trainer"], "base_model": "nextab/athena-2b-v1.5", "model-index": [{"name": "outputs", "results": []}]} | nextab/Athena-v1.5-sft-adapter | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"unsloth",
"generated_from_trainer",
"base_model:nextab/athena-2b-v1.5",
"license:apache-2.0",
"region:us"
] | null | 2024-05-01T05:12:26+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #unsloth #generated_from_trainer #base_model-nextab/athena-2b-v1.5 #license-apache-2.0 #region-us
|
# outputs
This model is a fine-tuned version of nextab/athena-2b-v1.5 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The follo... | [
"# outputs\n\nThis model is a fine-tuned version of nextab/athena-2b-v1.5 on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"### Train... | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #unsloth #generated_from_trainer #base_model-nextab/athena-2b-v1.5 #license-apache-2.0 #region-us \n",
"# outputs\n\nThis model is a fine-tuned version of nextab/athena-2b-v1.5 on the None dataset.",
"## Model description\n\nMore information needed",
"## Intend... | [
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"TAGS\n#peft #tensorboard #safetensors #trl #sft #unsloth #generated_from_trainer #base_model-nextab/athena-2b-v1.5 #license-apache-2.0 #region-us \n# outputs\n\nThis model is a fine-tuned version of nextab/athena-2b-v1.5 on the None dataset.## Model description\n\nMore information needed## Intended uses & limitati... |
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
This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on an unkn... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "openai/whisper-tiny.en", "model-index": [{"name": "whisper", "results": []}]} | nnaik39/whisper | null | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"base_model:openai/whisper-tiny.en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-05-01T05:14:04+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #base_model-openai/whisper-tiny.en #license-apache-2.0 #endpoints_compatible #region-us
|
# whisper
This model is a fine-tuned version of openai/URL on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.5158
- eval_wer: 19.8611
- eval_runtime: 49.4294
- eval_samples_per_second: 10.115
- eval_steps_per_second: 1.275
- epoch: 13.8889
- step: 500
## Model descripti... | [
"# whisper\n\nThis model is a fine-tuned version of openai/URL on an unknown dataset.\nIt achieves the following results on the evaluation set:\n- eval_loss: 0.5158\n- eval_wer: 19.8611\n- eval_runtime: 49.4294\n- eval_samples_per_second: 10.115\n- eval_steps_per_second: 1.275\n- epoch: 13.8889\n- step: 500",
"##... | [
"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #base_model-openai/whisper-tiny.en #license-apache-2.0 #endpoints_compatible #region-us \n",
"# whisper\n\nThis model is a fine-tuned version of openai/URL on an unknown dataset.\nIt achieves the followin... | [
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"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #base_model-openai/whisper-tiny.en #license-apache-2.0 #endpoints_compatible #region-us \n# whisper\n\nThis model is a fine-tuned version of openai/URL on an unknown dataset.\nIt achieves the following resu... |
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. -->
# opt-1.3b-finetuned-mnli
This model is a fine-tuned version of [facebook/opt-1.3b](https://huggingface.co/facebook/opt-1.3b) on a... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/opt-1.3b", "model-index": [{"name": "opt-1.3b-finetuned-mnli", "results": []}]} | elliottfitzgerald/opt-1.3b-finetuned-mnli | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:facebook/opt-1.3b",
"license:other",
"region:us"
] | null | 2024-05-01T05:14:17+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-facebook/opt-1.3b #license-other #region-us
| opt-1.3b-finetuned-mnli
=======================
This model is a fine-tuned version of facebook/opt-1.3b on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7762
* Accuracy: 0.5027
Model description
-----------------
More information needed
Intended uses & limitations
----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
"### Train... | [
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"### 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... | [
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"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-facebook/opt-1.3b #license-other #region-us \n### 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* opti... |
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. -->
# dpo_helpfulhelpful_gpt3_subset20000_modelgpt2_maxsteps5000_bz8_lr5e-06
This model is a fine-tuned version of [gpt2](https://hugg... | {"license": "mit", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "dpo_helpfulhelpful_gpt3_subset20000_modelgpt2_maxsteps5000_bz8_lr5e-06", "results": []}]} | Holarissun/dpo_helpfulhelpful_gpt3_subset20000_modelgpt2_maxsteps5000_bz8_lr5e-06 | null | [
"peft",
"safetensors",
"trl",
"dpo",
"generated_from_trainer",
"base_model:gpt2",
"license:mit",
"region:us"
] | null | 2024-05-01T05:17:41+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-gpt2 #license-mit #region-us
|
# dpo_helpfulhelpful_gpt3_subset20000_modelgpt2_maxsteps5000_bz8_lr5e-06
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 pr... | [
"# dpo_helpfulhelpful_gpt3_subset20000_modelgpt2_maxsteps5000_bz8_lr5e-06\n\nThis model is a fine-tuned version of gpt2 on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information ... | [
"TAGS\n#peft #safetensors #trl #dpo #generated_from_trainer #base_model-gpt2 #license-mit #region-us \n",
"# dpo_helpfulhelpful_gpt3_subset20000_modelgpt2_maxsteps5000_bz8_lr5e-06\n\nThis model is a fine-tuned version of gpt2 on an unknown dataset.",
"## Model description\n\nMore information needed",
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"TAGS\n#peft #safetensors #trl #dpo #generated_from_trainer #base_model-gpt2 #license-mit #region-us \n# dpo_helpfulhelpful_gpt3_subset20000_modelgpt2_maxsteps5000_bz8_lr5e-06\n\nThis model is a fine-tuned version of gpt2 on an unknown dataset.## Model description\n\nMore information needed## Intended uses & limita... |
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. -->
# dpo_helpfulhelpful_gpt3_subset20000_modelgpt2_maxsteps5000_bz8_lr1e-06
This model is a fine-tuned version of [gpt2](https://hugg... | {"license": "mit", "library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "dpo_helpfulhelpful_gpt3_subset20000_modelgpt2_maxsteps5000_bz8_lr1e-06", "results": []}]} | Holarissun/dpo_helpfulhelpful_gpt3_subset20000_modelgpt2_maxsteps5000_bz8_lr1e-06 | null | [
"peft",
"safetensors",
"trl",
"dpo",
"generated_from_trainer",
"base_model:gpt2",
"license:mit",
"region:us"
] | null | 2024-05-01T05:18:02+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-gpt2 #license-mit #region-us
|
# dpo_helpfulhelpful_gpt3_subset20000_modelgpt2_maxsteps5000_bz8_lr1e-06
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 pr... | [
"# dpo_helpfulhelpful_gpt3_subset20000_modelgpt2_maxsteps5000_bz8_lr1e-06\n\nThis model is a fine-tuned version of gpt2 on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information ... | [
"TAGS\n#peft #safetensors #trl #dpo #generated_from_trainer #base_model-gpt2 #license-mit #region-us \n",
"# dpo_helpfulhelpful_gpt3_subset20000_modelgpt2_maxsteps5000_bz8_lr1e-06\n\nThis model is a fine-tuned version of gpt2 on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Inte... | [
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"TAGS\n#peft #safetensors #trl #dpo #generated_from_trainer #base_model-gpt2 #license-mit #region-us \n# dpo_helpfulhelpful_gpt3_subset20000_modelgpt2_maxsteps5000_bz8_lr1e-06\n\nThis model is a fine-tuned version of gpt2 on an unknown dataset.## Model description\n\nMore information needed## Intended uses & limita... |
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