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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_Aleatoric_tiny_0.8_Seed104 | null | [
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#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
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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. -->
# breeze_7b_lora_completion_only
This model is a fine-tuned version of [MediaTek-Research/Breeze-7B-Instruct-v1_0](https://hugging... | {"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-Breeze-Instruct"], "base_model": "MediaTek-Research/Breeze-7B-Instruct-v1_0", "model-index": [{"name": "breeze_7b_lora... | DandinPower/breeze_7b_lora_completion_only | null | [
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| breeze\_7b\_lora\_completion\_only
==================================
This model is a fine-tuned version of MediaTek-Research/Breeze-7B-Instruct-v1\_0 on the DandinPower/ZH-Reading-Comprehension-Breeze-Instruct dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1312
Model description
----... | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-base-patch4-window7-224-in22k-finetuned-lora-ISIC-2019
This model is a fine-tuned version of [microsoft/swin-base-patch4-wi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-base-patch4-window7-224-in22k", "model-index": [{"name": "swin-base-patch4-window7-224-in22k-finetuned-lora-ISIC-2019", "results": []}]} | TriDat/swin-base-patch4-window7-224-in22k-finetuned-lora-ISIC-2019 | null | [
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| swin-base-patch4-window7-224-in22k-finetuned-lora-ISIC-2019
===========================================================
This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224-in22k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4229
* Accuracy: 0... | [
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unconditional-image-generation | diffusers |
# Example Fine-Tuned Model for Unit 2 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
Describe your model here
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('kmpartner/ddpm-celebahq-finetuned-butterflies-2epochs')
image = pip... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | kmpartner/ddpm-celebahq-finetuned-butterflies-2epochs | null | [
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# Example Fine-Tuned Model for Unit 2 of the Diffusion Models Class
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## Usage
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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": []} | zinoli/my-awesome-model | null | [
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# Model Card for Model ID
## Model Details
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text-generation | transformers |
# Uploaded model
- **Developed by:** Buncha
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-instruct-v0.2-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft"], "base_model": "unsloth/mistral-7b-instruct-v0.2-bnb-4bit"} | Buncha/mistral-7b-instruct-v0.2-bnb-4bit-medical | null | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# spanemo-id-ta
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
## Model description
Mo... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "spanemo-id-ta", "results": []}]} | syafiqfaray/spanemo-id-ta | null | [
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|
# spanemo-id-ta
This model is a fine-tuned version of [](URL on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hy... | [
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null | transformers |
# Uploaded model
- **Developed by:** hanifsyarubany10
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-bnb-4bit
This gemma 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", "gemma", "trl"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | hanifsyarubany10/gemma-7b-100epochs-Unsloth-FreedomIntelligence-indo-1e-3 | 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. -->
# Etluther-Code-finetuned
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggingface.co/EleutherAI/pythia-7... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "Etluther-Code-finetuned", "results": []}]} | elinaparajuli/Etluther-Code-finetuned | null | [
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| Etluther-Code-finetuned
=======================
This model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0612
Model description
-----------------
More information needed
Intended uses & limitations
-------------------... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | yentinglin/cosmo-1b-random-init | null | [
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## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-generation | transformers |
# 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": []} | yentinglin/cosmo-8x220M-random-init | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Uploaded model
- **Developed by:** hanifsyarubany10
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-bnb-4bit
This gemma 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", "gemma", "trl"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | hanifsyarubany10/gemma-7b-50epochs-Unsloth-FreedomIntelligence-indo-2e-4 | null | [
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# Uploaded model
- Developed by: hanifsyarubany10
- License: apache-2.0
- Finetuned from model : unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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. -->
# finetuning-sentiment-model-GPT2
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "finetuning-sentiment-model-GPT2", "results": []}]} | dhrubochowdhury5758778/finetuning-sentiment-model-GPT2 | null | [
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|
# finetuning-sentiment-model-GPT2
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2332
- Accuracy: 0.39
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evalua... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-160m_mz-130_IMDB_n-its-10-seed-1
This model is a fine-tuned version of [EleutherAI/pythia-160m](https://huggin... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m", "model-index": [{"name": "robust_llm_pythia-160m_mz-130_IMDB_n-its-10-seed-1", "results": []}]} | AlignmentResearch/robust_llm_pythia-160m_mz-130_IMDB_n-its-10-seed-1 | null | [
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|
# robust_llm_pythia-160m_mz-130_IMDB_n-its-10-seed-1
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proc... | [
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text-generation | null |
# DavidAU/Meta-Llama-3-8B-Instruct-hf-Q8_0-GGUF
This model was converted to GGUF format from [`Undi95/Meta-Llama-3-8B-Instruct-hf`](https://huggingface.co/Undi95/Meta-Llama-3-8B-Instruct-hf) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [origi... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Dat... | DavidAU/Meta-Llama-3-8B-Instruct-hf-Q8_0-GGUF | null | [
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# DavidAU/Meta-Llama-3-8B-Instruct-hf-Q8_0-GGUF
This model was converted to GGUF format from 'Undi95/Meta-Llama-3-8B-Instruct-hf' 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.
C... | [
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null | transformers |
### Model Description
This was model was fine-tuned from microsoft/Phi-3-mini-4k-instruct-gguf. Using Instruction Tuning and Parameter Efficient Tuning on a smaller model, this fine-tuned model is intended to improve dialogue policy.
The instruction dataset was generated from the MultiWOZ dataset.
| {"library_name": "transformers", "tags": []} | SamaahKhan/Phi-after-fine-tuning | null | [
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"region:us"
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#transformers #safetensors #endpoints_compatible #region-us
|
### Model Description
This was model was fine-tuned from microsoft/Phi-3-mini-4k-instruct-gguf. Using Instruction Tuning and Parameter Efficient Tuning on a smaller model, this fine-tuned model is intended to improve dialogue policy.
The instruction dataset was generated from the MultiWOZ dataset.
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null | transformers |
# DavidAU/Meta-Llama-3-8B-Instruct-function-calling-Q8_0-GGUF
This model was converted to GGUF format from [`Trelis/Meta-Llama-3-8B-Instruct-function-calling`](https://huggingface.co/Trelis/Meta-Llama-3-8B-Instruct-function-calling) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-or... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "llama 3", "llama-cpp", "gguf-my-repo"], "datasets": ["Trelis/function_calling_v3"]} | DavidAU/Meta-Llama-3-8B-Instruct-function-calling-Q8_0-GGUF | null | [
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|
# DavidAU/Meta-Llama-3-8B-Instruct-function-calling-Q8_0-GGUF
This model was converted to GGUF format from 'Trelis/Meta-Llama-3-8B-Instruct-function-calling' 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 t... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | yentinglin/cosmo-334M-random-init | null | [
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"autotrain_compatible",
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"region:us"
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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text-generation | null |
# DavidAU/Meta-Llama-3-8B-Instruct-64k-Q8_0-GGUF
This model was converted to GGUF format from [`NurtureAI/Meta-Llama-3-8B-Instruct-64k`](https://huggingface.co/NurtureAI/Meta-Llama-3-8B-Instruct-64k) 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"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Dat... | DavidAU/Meta-Llama-3-8B-Instruct-64k-Q8_0-GGUF | null | [
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|
# DavidAU/Meta-Llama-3-8B-Instruct-64k-Q8_0-GGUF
This model was converted to GGUF format from 'NurtureAI/Meta-Llama-3-8B-Instruct-64k' 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 CL... | [
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"TAGS\n#gguf #facebook #meta #pytorch #llama #llama-3 #llama-cpp #gguf-my-repo #text-generation #en #license-other #region-us \n# DavidAU/Meta-Llama-3-8B-Instruct-64k-Q8_0-GGUF\nThis model was converted to GGUF format from 'NurtureAI/Meta-Llama-3-8B-Instruct-64k' using URL via the URL's GGUF-my-repo space.\nRefer t... |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [kalytm/nous-2](https://huggingface.co/kalyt... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["kalytm/nous-2", "coffie3/sx1011"]} | Sumail/Ame19 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:kalytm/nous-2",
"base_model:coffie3/sx1011",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T04:05:30+00:00 | [] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #mergekit #merge #conversational #base_model-kalytm/nous-2 #base_model-coffie3/sx1011 #autotrain_compatible #endpoints_compatible #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* kalytm/nous-2
* coffie3/sx1011
### Configuration
The following YAML configurati... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* kalytm/nous-2\n* coffie3/sx1011",
"### Configuration\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. -->
# leagaleasy-llama-3-adapter
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/me... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "leagaleasy-llama-3-adapter", "results": []}]} | Nithin29/leagaleasy-llama-3-adapter | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:other",
"region:us"
] | null | 2024-04-25T04:05:43+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-other #region-us
|
# leagaleasy-llama-3-adapter
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
#... | [
"# leagaleasy-llama-3-adapter\n\nThis model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
... | [
"TAGS\n#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-other #region-us \n",
"# leagaleasy-llama-3-adapter\n\nThis model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.",
"## Mo... | [
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null | null |
# T3qm7Experiment26-7B
T3qm7Experiment26-7B 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: nlpguy/T3QM7
- model: yam-peleg/Experiment26-7B
merge_method: model_... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/T3qm7Experiment26-7B | null | [
"merge",
"mergekit",
"lazymergekit",
"automerger",
"license:apache-2.0",
"region:us"
] | null | 2024-04-25T04:05:58+00:00 | [] | [] | TAGS
#merge #mergekit #lazymergekit #automerger #license-apache-2.0 #region-us
|
# T3qm7Experiment26-7B
T3qm7Experiment26-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
| [
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"## Usage"
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] |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-410m_mz-132_WordLength_n-its-10
This model is a fine-tuned version of [EleutherAI/pythia-410m](https://hugging... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-410m", "model-index": [{"name": "robust_llm_pythia-410m_mz-132_WordLength_n-its-10", "results": []}]} | AlignmentResearch/robust_llm_pythia-410m_mz-132_WordLength_n-its-10 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt_neox",
"text-classification",
"generated_from_trainer",
"base_model:EleutherAI/pythia-410m",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-25T04:06:24+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-410m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-410m_mz-132_WordLength_n-its-10
This model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proce... | [
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"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information nee... | [
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image-to-text | transformers |
<div align="center">
<img src="https://github.com/InternLM/lmdeploy/assets/36994684/0cf8d00f-e86b-40ba-9b54-dc8f1bc6c8d8" width="600"/>
[](https://github.com/InternLM/xtuner)
</div>
## Model
llava-phi-3-mini is a LLaVA model fine-tuned fr... | {"datasets": ["Lin-Chen/ShareGPT4V"], "pipeline_tag": "image-to-text"} | xtuner/llava-phi-3-mini-hf | null | [
"transformers",
"safetensors",
"llava",
"pretraining",
"image-to-text",
"dataset:Lin-Chen/ShareGPT4V",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-04-25T04:07:10+00:00 | [] | [] | TAGS
#transformers #safetensors #llava #pretraining #image-to-text #dataset-Lin-Chen/ShareGPT4V #endpoints_compatible #has_space #region-us
|
![Generic badge](URL
Model
-----
llava-phi-3-mini is a LLaVA model fine-tuned from microsoft/Phi-3-mini-4k-instruct and CLIP-ViT-Large-patch14-336 with ShareGPT4V-PT and InternVL-SFT by XTuner.
Note: This model is in HuggingFace LLaVA format.
Resources:
* GitHub: xtuner
* Official LLaVA form... | [
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"### Chat by pure 'transformers'",
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] |
text-generation | null |
# DavidAU/openbuddy-llama3-8b-v21.1-8k-Q8_0-GGUF
This model was converted to GGUF format from [`OpenBuddy/openbuddy-llama3-8b-v21.1-8k`](https://huggingface.co/OpenBuddy/openbuddy-llama3-8b-v21.1-8k) 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": ["zh", "en", "fr", "de", "ja", "ko", "it", "fi"], "license": "other", "tags": ["llama-3", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "https://llama.meta.com/llama3/license/"} | DavidAU/openbuddy-llama3-8b-v21.1-8k-Q8_0-GGUF | null | [
"gguf",
"llama-3",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"zh",
"en",
"fr",
"de",
"ja",
"ko",
"it",
"fi",
"license:other",
"region:us"
] | null | 2024-04-25T04:07:48+00:00 | [] | [
"zh",
"en",
"fr",
"de",
"ja",
"ko",
"it",
"fi"
] | TAGS
#gguf #llama-3 #llama-cpp #gguf-my-repo #text-generation #zh #en #fr #de #ja #ko #it #fi #license-other #region-us
|
# DavidAU/openbuddy-llama3-8b-v21.1-8k-Q8_0-GGUF
This model was converted to GGUF format from 'OpenBuddy/openbuddy-llama3-8b-v21.1-8k' 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 CL... | [
"# DavidAU/openbuddy-llama3-8b-v21.1-8k-Q8_0-GGUF\nThis model was converted to GGUF format from 'OpenBuddy/openbuddy-llama3-8b-v21.1-8k' 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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text-generation | transformers |
# Keiana-L3-Test5.0-8B-6
# Keep in mind that it's not yet tested, and I unsure if would work as planned.
Keiana-L3-Test5.0-8B-6 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Kaoeiri/Keiana-L3-Test4.7-8B-3](https://... | {"tags": ["merge", "mergekit", "lazymergekit", "Kaoeiri/Keiana-L3-Test4.7-8B-3", "vicgalle/Roleplay-Llama-3-8B"], "base_model": ["Kaoeiri/Keiana-L3-Test4.7-8B-3", "vicgalle/Roleplay-Llama-3-8B"]} | Kaoeiri/Keiana-L3-Test5.0-8B-6 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"Kaoeiri/Keiana-L3-Test4.7-8B-3",
"vicgalle/Roleplay-Llama-3-8B",
"conversational",
"base_model:Kaoeiri/Keiana-L3-Test4.7-8B-3",
"base_model:vicgalle/Roleplay-Llama-3-8B",
"autotrain_compatible",
... | null | 2024-04-25T04:10:08+00:00 | [] | [] | TAGS
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# Keiana-L3-Test5.0-8B-6
# Keep in mind that it's not yet tested, and I unsure if would work as planned.
Keiana-L3-Test5.0-8B-6 is a merge of the following models using LazyMergekit:
* Kaoeiri/Keiana-L3-Test4.7-8B-3
* vicgalle/Roleplay-Llama-3-8B
## Configuration
## Usage
| [
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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. -->
# trainer_output_dir
This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) o... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-cased", "model-index": [{"name": "trainer_output_dir", "results": []}]} | sunithapillai/trainer_output_dir | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert-base-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T04:11:21+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# trainer_output_dir
This model is a fine-tuned version of distilbert-base-cased on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparamete... | [
"# trainer_output_dir\n\nThis model is a fine-tuned version of distilbert-base-cased on an unknown dataset.",
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"## Training and evaluation data\n\nMore information needed",
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null | transformers |
# DavidAU/OrpoLlama-3-8B-Q8_0-GGUF
This model was converted to GGUF format from [`mlabonne/OrpoLlama-3-8B`](https://huggingface.co/mlabonne/OrpoLlama-3-8B) 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://huggingface... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["orpo", "llama 3", "rlhf", "sft", "llama-cpp", "gguf-my-repo"], "datasets": ["mlabonne/orpo-dpo-mix-40k"]} | DavidAU/OrpoLlama-3-8B-Q8_0-GGUF | null | [
"transformers",
"gguf",
"orpo",
"llama 3",
"rlhf",
"sft",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:mlabonne/orpo-dpo-mix-40k",
"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T04:11:44+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #orpo #llama 3 #rlhf #sft #llama-cpp #gguf-my-repo #en #dataset-mlabonne/orpo-dpo-mix-40k #license-other #endpoints_compatible #region-us
|
# DavidAU/OrpoLlama-3-8B-Q8_0-GGUF
This model was converted to GGUF format from 'mlabonne/OrpoLlama-3-8B' 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:
Note: ... | [
"# DavidAU/OrpoLlama-3-8B-Q8_0-GGUF\nThis model was converted to GGUF format from 'mlabonne/OrpoLlama-3-8B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\... | [
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"# DavidAU/OrpoLlama-3-8B-Q8_0-GGUF\nThis model was converted to GGUF format from 'mlabonne/OrpoLlama-3-8B' using URL via the URL's GGUF-my-repo... | [
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null | transformers |
# ColBERT-X for English-Chinese/Persian/Russian MLIR using Multilingual Translate-Distill
## MLIR Model Setting
- Query language: English
- Query length: 32 token max
- Document language: Chinese/Persian/Russian
- Document length: 180 token max (please use MaxP to aggregate the passage score if needed)
## Model Des... | {"language": ["en", "zh", "fa", "ru"], "license": "mit", "tags": ["clir", "colbertx", "plaidx", "xlm-roberta-large"], "datasets": ["ms_marco", "hltcoe/tdist-msmarco-scores"], "task_categories": ["text-retrieval", "information-retrieval"], "task_ids": ["passage-retrieval", "cross-language-retrieval"]} | hltcoe/plaidx-large-neuclir-mtd-mix-passages-mt5xxl-engeng | null | [
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|
# ColBERT-X for English-Chinese/Persian/Russian MLIR using Multilingual Translate-Distill
## MLIR Model Setting
- Query language: English
- Query length: 32 token max
- Document language: Chinese/Persian/Russian
- Document length: 180 token max (please use MaxP to aggregate the passage score if needed)
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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": []} | Nithin29/leagaleasy-llama-3-adapterandmodel | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers |
# ColBERT-X for English-German/Spanish/French MLIR using Multilingual Translate-Distill
## MLIR Model Setting
- Query language: English
- Query length: 32 token max
- Document language: German/Spanish/French
- Document length: 180 token max (please use MaxP to aggregate the passage score if needed)
## Model Descrip... | {"language": ["en", "de", "es", "fr"], "license": "mit", "tags": ["clir", "colbertx", "plaidx", "xlm-roberta-large"], "datasets": ["ms_marco", "hltcoe/tdist-msmarco-scores"], "task_categories": ["text-retrieval", "information-retrieval"], "task_ids": ["passage-retrieval", "cross-language-retrieval"]} | hltcoe/plaidx-large-clef-mtd-mix-passages-mt5xxl-engeng | null | [
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|
# ColBERT-X for English-German/Spanish/French MLIR using Multilingual Translate-Distill
## MLIR Model Setting
- Query language: English
- Query length: 32 token max
- Document language: German/Spanish/French
- Document length: 180 token max (please use MaxP to aggregate the passage score if needed)
## Model Descrip... | [
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null | transformers |
# ColBERT-X for English-Chinese/Persian/Russian MLIR using Multilingual Translate-Distill
## MLIR Model Setting
- Query language: English
- Query length: 32 token max
- Document language: Chinese/Persian/Russian
- Document length: 180 token max (please use MaxP to aggregate the passage score if needed)
## Model Des... | {"language": ["en", "zh", "fa", "ru"], "license": "mit", "tags": ["clir", "colbertx", "plaidx", "xlm-roberta-large"], "datasets": ["ms_marco", "hltcoe/tdist-msmarco-scores"], "task_categories": ["text-retrieval", "information-retrieval"], "task_ids": ["passage-retrieval", "cross-language-retrieval"]} | hltcoe/plaidx-large-neuclir-mtd-mix-entries-mt5xxl-engeng | null | [
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|
# ColBERT-X for English-Chinese/Persian/Russian MLIR using Multilingual Translate-Distill
## MLIR Model Setting
- Query language: English
- Query length: 32 token max
- Document language: Chinese/Persian/Russian
- Document length: 180 token max (please use MaxP to aggregate the passage score if needed)
## Model Des... | [
"# ColBERT-X for English-Chinese/Persian/Russian MLIR using Multilingual Translate-Distill",
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null | transformers |
# ColBERT-X for English-German/Spanish/French MLIR using Multilingual Translate-Distill
## MLIR Model Setting
- Query language: English
- Query length: 32 token max
- Document language: German/Spanish/French
- Document length: 180 token max (please use MaxP to aggregate the passage score if needed)
## Model Descrip... | {"language": ["en", "de", "es", "fr"], "license": "mit", "tags": ["clir", "colbertx", "plaidx", "xlm-roberta-large"], "datasets": ["ms_marco", "hltcoe/tdist-msmarco-scores"], "task_categories": ["text-retrieval", "information-retrieval"], "task_ids": ["passage-retrieval", "cross-language-retrieval"]} | hltcoe/plaidx-large-clef-mtd-mix-entries-mt5xxl-engeng | null | [
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"arxiv:2209.01335",
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"region:us"
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|
# ColBERT-X for English-German/Spanish/French MLIR using Multilingual Translate-Distill
## MLIR Model Setting
- Query language: English
- Query length: 32 token max
- Document language: German/Spanish/French
- Document length: 180 token max (please use MaxP to aggregate the passage score if needed)
## Model Descrip... | [
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null | transformers |
# ColBERT-X for English-Chinese/Persian/Russian MLIR using Multilingual Translate-Distill
## MLIR Model Setting
- Query language: English
- Query length: 32 token max
- Document language: Chinese/Persian/Russian
- Document length: 180 token max (please use MaxP to aggregate the passage score if needed)
## Model Des... | {"language": ["en", "zh", "fa", "ru"], "license": "mit", "tags": ["clir", "colbertx", "plaidx", "xlm-roberta-large"], "datasets": ["ms_marco", "hltcoe/tdist-msmarco-scores"], "task_categories": ["text-retrieval", "information-retrieval"], "task_ids": ["passage-retrieval", "cross-language-retrieval"]} | hltcoe/plaidx-large-neuclir-mtd-round-robin-entries-mt5xxl-engeng | null | [
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|
# ColBERT-X for English-Chinese/Persian/Russian MLIR using Multilingual Translate-Distill
## MLIR Model Setting
- Query language: English
- Query length: 32 token max
- Document language: Chinese/Persian/Russian
- Document length: 180 token max (please use MaxP to aggregate the passage score if needed)
## Model Des... | [
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null | transformers |
# ColBERT-X for English-German/Spanish/French MLIR using Multilingual Translate-Distill
## MLIR Model Setting
- Query language: English
- Query length: 32 token max
- Document language: German/Spanish/French
- Document length: 180 token max (please use MaxP to aggregate the passage score if needed)
## Model Descrip... | {"language": ["en", "de", "es", "fr"], "license": "mit", "tags": ["clir", "colbertx", "plaidx", "xlm-roberta-large"], "datasets": ["ms_marco", "hltcoe/tdist-msmarco-scores"], "task_categories": ["text-retrieval", "information-retrieval"], "task_ids": ["passage-retrieval", "cross-language-retrieval"]} | hltcoe/plaidx-large-clef-mtd-round-robin-entries-mt5xxl-engeng | null | [
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"arxiv:2209.01335",
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"endpoints_compatible",
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|
# ColBERT-X for English-German/Spanish/French MLIR using Multilingual Translate-Distill
## MLIR Model Setting
- Query language: English
- Query length: 32 token max
- Document language: German/Spanish/French
- Document length: 180 token max (please use MaxP to aggregate the passage score if needed)
## Model Descrip... | [
"# ColBERT-X for English-German/Spanish/French MLIR using Multilingual Translate-Distill",
"## MLIR Model Setting\n\n- Query language: English\n- Query length: 32 token max\n- Document language: German/Spanish/French\n- Document length: 180 token max (please use MaxP to aggregate the passage score if needed)",
... | [
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text-generation | null |
# DavidAU/opus-v1.2-llama-3-8b-Q8_0-GGUF
This model was converted to GGUF format from [`dreamgen/opus-v1.2-llama-3-8b`](https://huggingface.co/dreamgen/opus-v1.2-llama-3-8b) 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](h... | {"language": ["en"], "license": "cc-by-nc-nd-4.0", "tags": ["unsloth", "axolotl", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation"} | DavidAU/opus-v1.2-llama-3-8b-Q8_0-GGUF | null | [
"gguf",
"unsloth",
"axolotl",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"en",
"license:cc-by-nc-nd-4.0",
"region:us"
] | null | 2024-04-25T04:13:58+00:00 | [] | [
"en"
] | TAGS
#gguf #unsloth #axolotl #llama-cpp #gguf-my-repo #text-generation #en #license-cc-by-nc-nd-4.0 #region-us
|
# DavidAU/opus-v1.2-llama-3-8b-Q8_0-GGUF
This model was converted to GGUF format from 'dreamgen/opus-v1.2-llama-3-8b' 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:
Serve... | [
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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": []} | drilemon/gpt2-gptq-4bit | null | [
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"text-generation",
"arxiv:1910.09700",
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"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-25T04:14:29+00:00 | [
"1910.09700"
] | [] | TAGS
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers |
# 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": []} | Manoj21k/llama2-7b-finetuned | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"license": "apache-2.0", "library_name": "transformers"} | chlee10/T3Q-Llama3-8B-sft1.0-dpo1.0 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text2text-generation | transformers |
# PLLaVA Model Card
## Model details
**Model type:**
PLLaVA-34B is an open-source video-language chatbot trained by fine-tuning Image-LLM on video instruction-following data. It is an auto-regressive language model, based on the transformer architecture. Base LLM: liuhaotian/llava-v1.6-34b
**Model date:**
PLLaVA-34... | {"license": "apache-2.0", "tags": ["video LLM"], "datasets": ["OpenGVLab/VideoChat2-IT"]} | ermu2001/pllava-34b | null | [
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|
# PLLaVA Model Card
## Model details
Model type:
PLLaVA-34B is an open-source video-language chatbot trained by fine-tuning Image-LLM on video instruction-following data. It is an auto-regressive language model, based on the transformer architecture. Base LLM: liuhaotian/llava-v1.6-34b
Model date:
PLLaVA-34B was tr... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Nitral-AI/Poppy_Porpoise-v0.8-L3-8B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do ... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "Nitral-AI/Poppy_Porpoise-v0.8-L3-8B", "quantized_by": "mradermacher"} | mradermacher/Poppy_Porpoise-v0.8-L3-8B-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | 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": []} | ripaaiii/fine-tune-C1-stage1_5epoch_besar | 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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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None data... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/flan-t5-base", "model-index": [{"name": "results", "results": []}]} | UmarSk27/results | null | [
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|
# results
This model is a fine-tuned version of google/flan-t5-base 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
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null | null | # SkinXmed Erfahrungen Wo Kaufen - SkinXmed Creme Bewertungen Deutschland Preis
Skinxmed Creme Erfahrungen ist eine Feuchtigkeitscreme, die von der Marke Skinxmed angeboten wird. Sie ist speziell für die Bekämpfung von Hautalterung, Falten und anderen Hautproblemen entwickelt worden. Die Creme enthält Inhaltsstoffe wi... | {} | VKapseln475/SkinXmed1555 | null | [
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] | null | 2024-04-25T04:19:37+00:00 | [] | [] | TAGS
#region-us
| # SkinXmed Erfahrungen Wo Kaufen - SkinXmed Creme Bewertungen Deutschland Preis
Skinxmed Creme Erfahrungen ist eine Feuchtigkeitscreme, die von der Marke Skinxmed angeboten wird. Sie ist speziell für die Bekämpfung von Hautalterung, Falten und anderen Hautproblemen entwickelt worden. Die Creme enthält Inhaltsstoffe wi... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505_COQE_viT5_train_Instruction0_SOAPL_h1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/Vie... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_SOAPL_h1", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_SOAPL_h1 | null | [
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] | null | 2024-04-25T04:22:59+00:00 | [] | [] | TAGS
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|
# CS505_COQE_viT5_train_Instruction0_SOAPL_h1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
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text-generation | transformers |
# Gemma 2B Translation v0.123
- Eval Loss: `0.94028`
- Train Loss: `0.85489`
- lr: `6e-05`
- optimizer: adamw
- lr_scheduler_type: cosine
## Prompt Template
```
<bos>##English##
Hamsters don't eat cats.
##Korean##
햄스터는 고양이를 먹지 않습니다.<eos>
```
```
<bos>##Korean##
햄스터는 고양이를 먹지 않습니다.
##English##
Hamsters do no... | {"language": ["ko"], "license": "gemma", "library_name": "transformers", "tags": ["gemma", "pytorch", "instruct", "finetune", "translation"], "datasets": ["traintogpb/aihub-flores-koen-integrated-sparta-30k"], "widget": [{"messages": [{"role": "user", "content": "Hamsters don't eat cats."}]}], "base_model": "beomi/gemm... | lemon-mint/gemma-2b-translation-v0.123 | null | [
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|
# Gemma 2B Translation v0.123
- Eval Loss: '0.94028'
- Train Loss: '0.85489'
- lr: '6e-05'
- optimizer: adamw
- lr_scheduler_type: cosine
## Prompt Template
## Model Description
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- Model type: Gemma
- Language(s) (NLP): English
- License: gemma-terms-of-use
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505_COQE_viT5_train_Instruction0_OSAPL_h1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/Vie... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_OSAPL_h1", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_OSAPL_h1 | null | [
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|
# CS505_COQE_viT5_train_Instruction0_OSAPL_h1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - DileepPatruni/CarImagesLORAmodel
<Gallery />
## Model description
These are DileepPatruni/CarImagesLORAmodel LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text enc... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "<enter your prompt here>"} | DileepPatruni/CarImagesLORAmodel | null | [
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|
# AutoTrain SDXL LoRA DreamBooth - DileepPatruni/CarImagesLORAmodel
<Gallery />
## Model description
These are DileepPatruni/CarImagesLORAmodel LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505_COQE_viT5_train_Instruction0_PSOAL_h1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/Vie... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_PSOAL_h1", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_PSOAL_h1 | null | [
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|
# CS505_COQE_viT5_train_Instruction0_PSOAL_h1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-160m_mz-130_IMDB_n-its-10-seed-4
This model is a fine-tuned version of [EleutherAI/pythia-160m](https://huggin... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m", "model-index": [{"name": "robust_llm_pythia-160m_mz-130_IMDB_n-its-10-seed-4", "results": []}]} | AlignmentResearch/robust_llm_pythia-160m_mz-130_IMDB_n-its-10-seed-4 | null | [
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|
# robust_llm_pythia-160m_mz-130_IMDB_n-its-10-seed-4
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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null | transformers |
# Uploaded model
- **Developed by:** hanifsyarubany10
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-bnb-4bit
This gemma 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", "gemma", "trl"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | hanifsyarubany10/gemma-7b-100epochs-Unsloth-FreedomIntelligence-indo-2e-4 | null | [
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# Uploaded model
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<img src="URL width="200"/>
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/NotAiLOL/Knight-Miqu-70B-MoE
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static quants are available at https://huggingface.co/mradermacher/Knight-Miqu-... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "NotAiLOL/Knight-Miqu-70B-MoE", "quantized_by": "mradermacher"} | mradermacher/Knight-Miqu-70B-MoE-i1-GGUF | null | [
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weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
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text-to-image | diffusers | # NVIDIA RTX 4070Ti
<Gallery />
## Model description
寻医问药--基于大语言模型的智能诊断系统
## Download model
Weights for this model are available in Safetensors format.
[Download](/XinNuyoah/_/tree/main) them in the Files & versions tab.
| {"license": "llama2", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "\u5bfb\u533b\u95ee\u836f", "parameters": {"negative_prompt": "\u57fa\u4e8e\u5927\u8bed\u8a00\u6a21\u578b\u7684\u667a\u80fd\u8bca\u65ad\u7cfb\u7edf"}, "output": {"url": "images/\u622a\u56fe ... | XinNuyoah/_ | null | [
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"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:stabilityai/cosxl",
"license:llama2",
"region:us"
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stabilityai/cosxl #license-llama2 #region-us
| # NVIDIA RTX 4070Ti
<Gallery />
## Model description
寻医问药--基于大语言模型的智能诊断系统
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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- **Shared by [optional]:** [More Information Needed]
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-14m_mz-131_IMDB
This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggingface.co/EleutherA... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-14m_mz-131_IMDB", "results": []}]} | AlignmentResearch/robust_llm_pythia-14m_mz-131_IMDB | null | [
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# robust_llm_pythia-14m_mz-131_IMDB
This model is a fine-tuned version of EleutherAI/pythia-14m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trainin... | [
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text-generation | transformers | # [MaziyarPanahi/WizardLM-2-8x22B-GGUF](https://huggingface.co/MaziyarPanahi/WizardLM-2-8x22B-GGUF)
- Base model: [mistral-community/Mixtral-8x22B-v0.1](https://huggingface.co/mistral-community/Mixtral-8x22B-v0.1)
## Description
[MaziyarPanahi/WizardLM-2-8x22B-GGUF](https://huggingface.co/MaziyarPanahi/WizardLM-2-8x22... | {"tags": ["quantized", "2-bit", "GGUF", "transformers", "safetensors", "mistral", "text-generation", "arxiv:2304.12244", "arxiv:2306.08568", "arxiv:2308.09583", "license:apache-2.0", "autotrain_compatible", "endpoints_compatible", "text-generation-inference", "region:us", "text-generation"], "model_name": "WizardLM-2-8... | KingNish/WizardLM2-2bit | null | [
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... | null | 2024-04-25T04:32:19+00:00 | [
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| # MaziyarPanahi/WizardLM-2-8x22B-GGUF
- Base model: mistral-community/Mixtral-8x22B-v0.1
## Description
MaziyarPanahi/WizardLM-2-8x22B-GGUF contains GGUF format model files for mistral-community/Mixtral-8x22B-v0.1.
## How to download
You can download only the quants you need instead of cloning the entire repository a... | [
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feature-extraction | 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. -->
# Last_BERT_V2
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
## ... | {"tags": ["generated_from_keras_callback"], "model-index": [{"name": "Last_BERT_V2", "results": []}]} | Gutema/Last_BERT_V2 | null | [
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|
# Last_BERT_V2
This model was trained from scratch 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 data
More information needed
## Training procedure... | [
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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": []} | amaithi/pegasus-samsum-model | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | 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-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Lakshit11/bert-15-categories | null | [
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null | transformers |
# oceansweep/c4ai-command-r-v01-Q6_K-GGUF
This model was converted to GGUF format from [`CohereForAI/c4ai-command-r-v01`](https://huggingface.co/CohereForAI/c4ai-command-r-v01) 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... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"]} | oceansweep/c4ai-command-r-v01-Q6_K-GGUF | null | [
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|
# oceansweep/c4ai-command-r-v01-Q6_K-GGUF
This model was converted to GGUF format from 'CohereForAI/c4ai-command-r-v01' 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:
Ser... | [
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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": []} | JuniorThap/clip-wangchanroberta-lora | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0_ablation_4iters_bs128_nodpo_iter_3
This model is a fine-tuned version of [ShenaoZhang/0.0_ablation_4iters_bs128_nodpo_iter_2... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.0_ablation_4iters_bs128_nodpo_iter_2", "model-index": [{"name": "0.0_ablation_4iters_bs128_nodpo_iter_3", "results": []}]} | ShenaoZhang/0.0_ablation_4iters_bs128_nodpo_iter_3 | null | [
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"end... | null | 2024-04-25T04:45:23+00:00 | [] | [] | TAGS
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# 0.0_ablation_4iters_bs128_nodpo_iter_3
This model is a fine-tuned version of ShenaoZhang/0.0_ablation_4iters_bs128_nodpo_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More i... | [
"# 0.0_ablation_4iters_bs128_nodpo_iter_3\n\nThis model is a fine-tuned version of ShenaoZhang/0.0_ablation_4iters_bs128_nodpo_iter_2 on the updated and the original datasets.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and eva... | [
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image-text-to-text | xtuner |
<div align="center">
<img src="https://github.com/InternLM/lmdeploy/assets/36994684/0cf8d00f-e86b-40ba-9b54-dc8f1bc6c8d8" width="600"/>
[](https://github.com/InternLM/xtuner)
</div>
## Model
llava-phi-3-mini is a LLaVA model fine-tuned fr... | {"library_name": "xtuner", "datasets": ["Lin-Chen/ShareGPT4V"], "pipeline_tag": "image-text-to-text"} | xtuner/llava-phi-3-mini-xtuner | null | [
"xtuner",
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"llama",
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"dataset:Lin-Chen/ShareGPT4V",
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#xtuner #safetensors #llama #image-text-to-text #dataset-Lin-Chen/ShareGPT4V #region-us
|
![Generic badge](URL
Model
-----
llava-phi-3-mini is a LLaVA model fine-tuned from microsoft/Phi-3-mini-4k-instruct and CLIP-ViT-Large-patch14-336 with ShareGPT4V-PT and InternVL-SFT by XTuner.
Note: This model is in XTuner LLaVA format.
Resources:
* GitHub: xtuner
* HuggingFace LLaVA format... | [
"### Installation",
"### Chat",
"### MMBench Evaluation\n\n\nXTuner integrates the MMBench evaluation, and you can perform evaluations with the following command!\n\n\nAfter the evaluation is completed, if it's a development set, it will directly print out the results; If it's a test set, you need to submit 'mm... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [kalytm/nous-0](https://huggingface.co/kalyt... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["kalytm/nous-0", "kalytm/nous-2"]} | Sumail/Ame20 | null | [
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"base_model:kalytm/nous-0",
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"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T04:51:16+00:00 | [] | [] | TAGS
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* kalytm/nous-0
* kalytm/nous-2
### Configuration
The following YAML configuratio... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.01_ablation_4iters_bs128_nodpo_iter_3
This model is a fine-tuned version of [ShenaoZhang/0.01_ablation_4iters_bs128_nodpo_iter... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.01_ablation_4iters_bs128_nodpo_iter_2", "model-index": [{"name": "0.01_ablation_4iters_bs128_nodpo_iter_3", "results": []}]} | ShenaoZhang/0.01_ablation_4iters_bs128_nodpo_iter_3 | null | [
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"en... | null | 2024-04-25T04:52:32+00:00 | [] | [] | TAGS
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# 0.01_ablation_4iters_bs128_nodpo_iter_3
This model is a fine-tuned version of ShenaoZhang/0.01_ablation_4iters_bs128_nodpo_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More... | [
"# 0.01_ablation_4iters_bs128_nodpo_iter_3\n\nThis model is a fine-tuned version of ShenaoZhang/0.01_ablation_4iters_bs128_nodpo_iter_2 on the updated and the original datasets.",
"## Model description\n\nMore information needed",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# trainer
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "trainer", "results": []}]} | Surabhi-K/llama_3_3epochs | null | [
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"base_model:meta-llama/Meta-Llama-3-8B",
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#peft #safetensors #generated_from_trainer #base_model-meta-llama/Meta-Llama-3-8B #license-other #region-us
|
# trainer
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.0849
- eval_runtime: 37.5454
- eval_samples_per_second: 0.692
- eval_steps_per_second: 0.346
- epoch: 3.0
- step: 354
## Model description
More ... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** Hinglish-Project
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-bnb-4bit
This gemma 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", "gemma", "trl"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | Hinglish-Project/llama-3-8b-English-to-Hinglish | null | [
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|
# Uploaded model
- Developed by: Hinglish-Project
- License: apache-2.0
- Finetuned from model : unsloth/gemma-7b-bnb-4bit
This gemma model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Yo - Oyemade Oyemaja
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/wh... | {"language": ["yo"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_1"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Yo - Oyemade Oyemaja", "results": [{"task": {"type": "automatic-speech-recognition", "... | oyemade/whisper-small-yo | null | [
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| Whisper Small Yo - Oyemade Oyemaja
==================================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 16 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1731
* Wer Ortho: 70.4834
* Wer: 49.8612
Model description
-----------------
More in... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_... | {"library_name": "peft"} | Rimyy/TentativeLlamaGsm5ep | null | [
"peft",
"region:us"
] | null | 2024-04-25T05:00:24+00:00 | [] | [] | TAGS
#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_... | [
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null | null |
# Mixtral 8x22B Instruct v0.1 - llamafile
This repository contains executable weights (which we call
[llamafiles](https://github.com/Mozilla-Ocho/llamafile)) that run on
Linux, MacOS, Windows, FreeBSD, OpenBSD, and NetBSD for AMD64 and ARM64.
- Model creator: [Mistral AI](https://mistral.ai/)
- Original model: [mist... | {"language": ["en"], "license": "apache-2.0", "tags": ["llamafile"], "base_model": "mistralai/Mixtral-8x22B-Instruct-v0.1", "model_creator": "mistralai", "quantized_by": "jartine", "prompt_template": "[INST] {{prompt}} [/INST]\n"} | jartine/Mixtral-8x22B-Instruct-v0.1-llamafile | null | [
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"base_model:mistralai/Mixtral-8x22B-Instruct-v0.1",
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"en"
] | TAGS
#llamafile #en #base_model-mistralai/Mixtral-8x22B-Instruct-v0.1 #license-apache-2.0 #region-us
|
# Mixtral 8x22B Instruct v0.1 - llamafile
This repository contains executable weights (which we call
llamafiles) that run on
Linux, MacOS, Windows, FreeBSD, OpenBSD, and NetBSD for AMD64 and ARM64.
- Model creator: Mistral AI
- Original model: mistralai/Mixtral-8x22B-Instruct-v0.1
## Quickstart
Assuming your syste... | [
"# Mixtral 8x22B Instruct v0.1 - llamafile\n\nThis repository contains executable weights (which we call\nllamafiles) that run on\nLinux, MacOS, Windows, FreeBSD, OpenBSD, and NetBSD for AMD64 and ARM64.\n\n- Model creator: Mistral AI\n- Original model: mistralai/Mixtral-8x22B-Instruct-v0.1",
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text-generation | transformers |
# Uploaded model
- **Developed by:** Hinglish-Project
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-7b-bnb-4bit
This gemma 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", "gemma", "trl"], "base_model": "unsloth/gemma-7b-bnb-4bit"} | Hinglish-Project/gemma-7b-English-to-Hinglish | null | [
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"gemma",
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text-generation | transformers |
# Model Card for Model ID
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505_COQE_viT5_train_Instruction0_OSPAL_h1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/Vie... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_OSPAL_h1", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_OSPAL_h1 | null | [
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# CS505_COQE_viT5_train_Instruction0_OSPAL_h1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505_COQE_viT5_train_Instruction0_SOPAL_h1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/Vie... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_SOPAL_h1", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_SOPAL_h1 | null | [
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# CS505_COQE_viT5_train_Instruction0_SOPAL_h1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
## Model description
More information needed
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More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# CS505_COQE_viT5_train_Instruction0_ASPOL_h1
This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/Vie... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "VietAI/vit5-large", "model-index": [{"name": "CS505_COQE_viT5_train_Instruction0_ASPOL_h1", "results": []}]} | ThuyNT/CS505_COQE_viT5_train_Instruction0_ASPOL_h1 | null | [
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# CS505_COQE_viT5_train_Instruction0_ASPOL_h1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
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More information needed
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More information needed
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More information needed
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# CS505_COQE_viT5_train_Instruction0_PSAOL_h1
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# CS505_COQE_viT5_train_Instruction0_PSAOL_h1
This model is a fine-tuned version of VietAI/vit5-large on the None dataset.
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More information needed
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More information needed
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More information needed
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null | transformers |
# Model Card for Model ID
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fill-mask | transformers |
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text-generation | transformers | 
(Maybe i'll change the waifu picture later)
Experimental RP-oriented MoE, the idea was to get a model that would be equal to or better than the Mixtral 8x7B and it's finetunes in RP/ERP tasks.
[GGUF,... | {"language": ["en"], "license": "llama3", "tags": ["moe"]} | zaq-hack/ChaoticSoliloquy-4x8B-bpw800-h8-exl2-rpcal | null | [
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| !image/png
(Maybe i'll change the waifu picture later)
Experimental RP-oriented MoE, the idea was to get a model that would be equal to or better than the Mixtral 8x7B and it's finetunes in RP/ERP tasks.
GGUF, Exl2
### ChaoticSoliloquy-4x8B
## Models used
- ChaoticNeutrals/Poppy_Porpoise-v0.6-L3-8B
- jeiku/Chaos_... | [
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"### ChaoticSoliloquy-4x8B",
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video-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. -->
# videomae-base-finetuned-ucf101-subset
This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-N... | {"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "MCG-NJU/videomae-base", "model-index": [{"name": "videomae-base-finetuned-ucf101-subset", "results": []}]} | Yash2003/videomae-base-finetuned-ucf101-subset | null | [
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| videomae-base-finetuned-ucf101-subset
=====================================
This model is a fine-tuned version of MCG-NJU/videomae-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1489
* Accuracy: 0.9429
Model description
-----------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio: ... | [
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null | 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": []} | rahul9699/wav2vec2-base-gig-demo-colab | null | [
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null | transformers |
# oceansweep/c4ai-command-r-v01-Q8_0-GGUF
This model was converted to GGUF format from [`CohereForAI/c4ai-command-r-v01`](https://huggingface.co/CohereForAI/c4ai-command-r-v01) 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... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"]} | oceansweep/c4ai-command-r-v01-Q8_0-GGUF | null | [
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|
# oceansweep/c4ai-command-r-v01-Q8_0-GGUF
This model was converted to GGUF format from 'CohereForAI/c4ai-command-r-v01' 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:
Ser... | [
"# oceansweep/c4ai-command-r-v01-Q8_0-GGUF\nThis model was converted to GGUF format from 'CohereForAI/c4ai-command-r-v01' 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 | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["unsloth"]} | ravindrakinagi/abc | 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. -->
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": []} | EpicJhon/llama_67 | 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-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-14m_mz-131_PasswordMatch
This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggingface.co/... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-14m_mz-131_PasswordMatch", "results": []}]} | AlignmentResearch/robust_llm_pythia-14m_mz-131_PasswordMatch | null | [
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|
# robust_llm_pythia-14m_mz-131_PasswordMatch
This model is a fine-tuned version of EleutherAI/pythia-14m 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 | Quantizations of https://huggingface.co/lmsys/vicuna-7b-v1.5
# From original readme
... | {"language": ["en"], "license": "other", "tags": ["transformers", "gguf", "imatrix", "lmsys", "vicuna-7b-v1.5"], "inference": false, "pipeline_tag": "text-generation"} | duyntnet/vicuna-7b-v1.5-imatrix-GGUF | null | [
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null | null |
# sosoai/hansoldeco-beomi-Llama-3-Open-Ko-8B-Instruct-preview-Q4_K_M-GGUF
This model was converted to GGUF format from [`sosoai/hansoldeco-beomi-Llama-3-Open-Ko-8B-Instruct-preview`](https://huggingface.co/sosoai/hansoldeco-beomi-Llama-3-Open-Ko-8B-Instruct-preview) using llama.cpp via the ggml.ai's [GGUF-my-repo](htt... | {"tags": ["llama-cpp", "gguf-my-repo"]} | sosoai/hansoldeco-beomi-Llama-3-Open-Ko-8B-Instruct-preview-Q4_K_M-GGUF | null | [
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"llama-cpp",
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#gguf #llama-cpp #gguf-my-repo #region-us
|
# sosoai/hansoldeco-beomi-Llama-3-Open-Ko-8B-Instruct-preview-Q4_K_M-GGUF
This model was converted to GGUF format from 'sosoai/hansoldeco-beomi-Llama-3-Open-Ko-8B-Instruct-preview' 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 t... | [
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null | null | # 0425
This model is a fine-tuned version of [Qwen/Qwen1.5-7B](https://huggingface.co/Qwen/Qwen1.5-7B) on the alpaca_formatted_ift_eft_Justification dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8213
## Model description
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder... | {"license": "mit"} | WDong/Qwen1.5-7B-SFT-0425 | null | [
"safetensors",
"license:mit",
"region:us"
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#safetensors #license-mit #region-us
| 0425
====
This model is a fine-tuned version of Qwen/Qwen1.5-7B on the alpaca\_formatted\_ift\_eft\_Justification dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8213
Model description
-----------------
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language m... | [
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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. -->
# mistral7binstruct_summarize
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral7binstruct_summarize", "results": []}]} | JerryKChiang/mistral7binstruct_summarize | null | [
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| mistral7binstruct\_summarize
============================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5071
Model description
-----------------
More information needed
Intended uses & limit... | [
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null | null | # CapHuman: CapHuman: Capture Your Moments in Parallel Universes
caphuman.ckpt: based on Stable Diffusion V1.5
pytorch3d-0.7.6-cp37-cp37m-linux_x86_64.whl: pytorch3d 0.7.6, Ubuntu 18.04, python 3.7.19, torch 1.13.1, CUDA 11.7
---
license: cc-by-nc-4.0
---
| {} | VamosC/CapHuman | null | [
"region:us"
] | null | 2024-04-25T05:32:12+00:00 | [] | [] | TAGS
#region-us
| # CapHuman: CapHuman: Capture Your Moments in Parallel Universes
URL: based on Stable Diffusion V1.5
pytorch3d-0.7.6-cp37-cp37m-linux_x86_64.whl: pytorch3d 0.7.6, Ubuntu 18.04, python 3.7.19, torch 1.13.1, CUDA 11.7
---
license: cc-by-nc-4.0
---
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] |
null | transformers |
# Function Calling and Tool Use LLaMA Models
This repository contains two main versions of LLaMA models fine-tuned for function calling and tool use capabilities:
1. Fine-tuned version of the `LLama3-8b-instruct` model
2. `tinyllama` - a smaller model version
For each version, the following variants are available:
... | {"language": ["en"], "license": "apache-2.0", "tags": ["function calling", "tool use", "llama", "llama3", "tinyllama", "instruct-tuned", "4-bit quantization", "ggfu", "text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | unclecode/tinyllama-function-call-lora-adapter-250424 | null | [
"transformers",
"safetensors",
"function calling",
"tool use",
"llama",
"llama3",
"tinyllama",
"instruct-tuned",
"4-bit quantization",
"ggfu",
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"unsloth",
"trl",
"en",
"base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"license:apache-2.0",
"endpoints_compat... | null | 2024-04-25T05:35:58+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #function calling #tool use #llama #llama3 #tinyllama #instruct-tuned #4-bit quantization #ggfu #text-generation-inference #unsloth #trl #en #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #license-apache-2.0 #endpoints_compatible #region-us
|
# Function Calling and Tool Use LLaMA Models
This repository contains two main versions of LLaMA models fine-tuned for function calling and tool use capabilities:
1. Fine-tuned version of the 'LLama3-8b-instruct' model
2. 'tinyllama' - a smaller model version
For each version, the following variants are available:
... | [
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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": []} | abhayesian/MistralBobzillaTest | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T05:36:05+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
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null | diffusers |
More information on all the CLI arguments and the environment are available on your [`wandb` run page](https://wandb.ai/sayakpaul/diffusion-orpo-lora-sdxl/runs/ufwurjxt).
| {} | diffusion-orpo/sdxl-orpo-large-beta_orpo-0.005-beta_inner-100-lr-1e-8-scaled-ema | null | [
"diffusers",
"safetensors",
"region:us"
] | null | 2024-04-25T05:37:01+00:00 | [] | [] | TAGS
#diffusers #safetensors #region-us
|
More information on all the CLI arguments and the environment are available on your 'wandb' run page.
| [] | [
"TAGS\n#diffusers #safetensors #region-us \n"
] | [
12
] | [
"TAGS\n#diffusers #safetensors #region-us \n"
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null | null |
```
e88 88e d8
d888 888b 8888 8888 ,"Y88b 888 8e d88
C8888 8888D 8888 8888 "8" 888 888 88b d88888
Y888 888P Y888 888P ,ee 888 888 888 888
"88 88" "88 88" "88 888 888 888 888
b
8b, ... | {"license": "cc-by-nc-4.0", "tags": ["GGUF", "iMat", "llama3"]} | Quant-Cartel/Llama-3-8B-EGO-iMat-GGUF | null | [
"gguf",
"GGUF",
"iMat",
"llama3",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-25T05:37:21+00:00 | [] | [] | TAGS
#gguf #GGUF #iMat #llama3 #license-cc-by-nc-4.0 #region-us
|
## Llama-3-8B-EGO-iMat-GGUF
Quantized from fp32 with love.
* Weighted quantizations were calculated using groups_merged.txt with 105 chunks (recommended amount for this file) and n_ctx=512. Special thanks to jukofyork for sharing this process
<b>Note - Please use SillyTavern as well as the following prompt format... | [
"## Llama-3-8B-EGO-iMat-GGUF\n\n\nQuantized from fp32 with love.\n* Weighted quantizations were calculated using groups_merged.txt with 105 chunks (recommended amount for this file) and n_ctx=512. Special thanks to jukofyork for sharing this process\n\n<b>Note - Please use SillyTavern as well as the following promp... | [
"TAGS\n#gguf #GGUF #iMat #llama3 #license-cc-by-nc-4.0 #region-us \n",
"## Llama-3-8B-EGO-iMat-GGUF\n\n\nQuantized from fp32 with love.\n* Weighted quantizations were calculated using groups_merged.txt with 105 chunks (recommended amount for this file) and n_ctx=512. Special thanks to jukofyork for sharing this p... | [
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"TAGS\n#gguf #GGUF #iMat #llama3 #license-cc-by-nc-4.0 #region-us \n## Llama-3-8B-EGO-iMat-GGUF\n\n\nQuantized from fp32 with love.\n* Weighted quantizations were calculated using groups_merged.txt with 105 chunks (recommended amount for this file) and n_ctx=512. Special thanks to jukofyork for sharing this process... |
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('wsincos/sd-class-butterflie... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | wsincos/sd-class-butterflies-32 | null | [
"diffusers",
"safetensors",
"pytorch",
"unconditional-image-generation",
"diffusion-models-class",
"license:mit",
"diffusers:DDPMPipeline",
"region:us"
] | null | 2024-04-25T05:39:06+00:00 | [] | [] | TAGS
#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 .
## Usage
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] |
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