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fill-mask | 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": []} | emma7897/distilbert_two | null | [
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"1910.09700"
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#transformers #safetensors #distilbert #fill-mask #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #has_space #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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null | sentence-transformers | [Sugar Defender](https://icsfs.microsoftcrmportals.com/forums/general-discussion/752befe8-1dfe-ee11-a81c-000d3a289315) It's a vital wellspring of energy for your phones and organs, especially for the mind. Glucose levels in the blood should be painstakingly managed as too high or too low levels can cause medical pr... | {"language": ["en"], "license": "bigscience-openrail-m", "library_name": "sentence-transformers", "tags": ["Sugar Defender"]} | sephichapdson/SugarDefender | null | [
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| Sugar Defender It's a vital wellspring of energy for your phones and organs, especially for the mind. Glucose levels in the blood should be painstakingly managed as too high or too low levels can cause medical problems.High blood sugar, known as hyperglycemia, can be connected to conditions like diabetes. Side effe... | [] | [
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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. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "llama3-gaja-v0.1", "results": []}]} | AdithyaSK/LLama3-Gaja-Hindi-8B-Instruct-alpha | null | [
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#peft #safetensors #llama #generated_from_trainer #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-other #8-bit #region-us
| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
llama3-gaja-v0.1
================
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.036... | [
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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": []} | HenryCai1129/LlamaAdapter-llama2-happy-1000-temp-new3e-05 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | 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. -->
# twitter-roberta-base-sentiment-latest-trump-stance
This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentim... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "cardiffnlp/twitter-roberta-base-sentiment-latest", "model-index": [{"name": "twitter-roberta-base-sentiment-latest-trump-stance", "results": []}]} | saideep-arikontham/twitter-roberta-base-sentiment-latest-trump-stance | null | [
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| twitter-roberta-base-sentiment-latest-trump-stance
==================================================
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment-latest on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3134
* Accuracy: {'accuracy': 0.87875... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.001\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* num\\_epochs: 3",
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text-generation | transformers |
<img src=https://huggingface.co/lodrick-the-lafted/Copus-2x8B/resolve/main/copus.png>
MoE'd up:
- [dreamgen/opus-v1.2-llama-3-8b](https://huggingface.co/dreamgen/opus-v1.2-llama-3-8b)
- [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct)_
Which were the two most inte... | {"license": "llama2"} | blockblockblock/Copus-2x8B-bpw3 | null | [
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"endpoints_compatible",
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"3-bit",
"region:us"
] | null | 2024-04-20T05:35:54+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #conversational #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #3-bit #region-us
|
<img src=URL
MoE'd up:
- dreamgen/opus-v1.2-llama-3-8b
- NousResearch/Meta-Llama-3-8B-Instruct_
Which were the two most interesting llama3 finetunes as of yet. Resulting model seems OK. It's not on Miqu's level, anyway.
Blah, blah, llama 3 license (no tag for it yet). Also not going to name my model Llama-3-Copus. ... | [] | [
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text-generation | transformers |
# Tinyllama-moe3
Dopey-karasu-MoE3 is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [vihangd/DopeyTinyLlama-1.1B-v1](https://huggingface.co/vihangd/DopeyTinyLlama-1.1B-v1)
* [Tensoic/TinyLlama-1.... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "vihangd/DopeyTinyLlama-1.1B-v1", "Tensoic/TinyLlama-1.1B-3T-openhermes"], "base_model": ["vihangd/DopeyTinyLlama-1.1B-v1", "Tensoic/TinyLlama-1.1B-3T-openhermes"]} | aipib/Tinyllama-moe3 | null | [
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"base_model:Tensoic/TinyLlama-1.1B... | null | 2024-04-20T05:36:15+00:00 | [] | [] | TAGS
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# Tinyllama-moe3
Dopey-karasu-MoE3 is a Mixture of Experts (MoE) made with the following models using LazyMergekit:
* vihangd/DopeyTinyLlama-1.1B-v1
* Tensoic/TinyLlama-1.1B-3T-openhermes
## Configuration
## Usage
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null | mlx |
# lucataco/Mixtral-8x7B-Instruct-v0.1-4bit
This model was converted to MLX format from [`mistralai/Mixtral-8x7B-Instruct-v0.1`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) for more details on the model.
## Use with mlx
```bash
pip ... | {"language": ["fr", "it", "de", "es", "en"], "license": "apache-2.0", "tags": ["mlx"], "inference": {"parameters": {"temperature": 0.5}}, "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | lucataco/Mixtral-8x7B-Instruct-v0.1-4bit | null | [
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|
# lucataco/Mixtral-8x7B-Instruct-v0.1-4bit
This model was converted to MLX format from ['mistralai/Mixtral-8x7B-Instruct-v0.1']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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text-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. -->
# deberta-v3-large-otat-recommened-hp
This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/mi... | {"language": ["en"], "license": "mit", "tags": ["nycu-112-2-datamining-hw2", "generated_from_trainer"], "datasets": ["DandinPower/review_onlytitleandtext"], "metrics": ["accuracy"], "base_model": "microsoft/deberta-v3-large", "model-index": [{"name": "deberta-v3-large-otat-recommened-hp", "results": [{"task": {"type": ... | DandinPower/deberta-v3-large-otat-recommened-hp | null | [
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"base_model:microsoft/deberta-v3-large",
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"endpoints_compatible... | null | 2024-04-20T05:37:34+00:00 | [] | [
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| deberta-v3-large-otat-recommened-hp
===================================
This model is a fine-tuned version of microsoft/deberta-v3-large on the DandinPower/review\_onlytitleandtext dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8169
* Accuracy: 0.6686
* Macro F1: 0.6662
Model descript... | [
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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. -->
# wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod16
This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](h... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_13_0"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-xls-r-300m", "model-index": [{"name": "wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod16", "results": [{"task": {"type": "automatic-speech-recognition", "name": "... | EzraWilliam/wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod16 | null | [
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"license:apache-2.0",
"model-index",
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| wav2vec2-xlsr-53-CV-demo-google-colab-Ezra\_William\_Prod16
===========================================================
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common\_voice\_13\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3355
* Wer: 0.3031
Mode... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 12\n* mixed\\_pre... | [
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text-generation | mlx |
# lucataco/Meta-Llama-3-8B-4bit
This model was converted to MLX format from [`meta-llama/Meta-Llama-3-8B`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/meta-llama/Meta-Llama-3-8B) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
f... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "mlx"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"A... | lucataco/Meta-Llama-3-8B-4bit | null | [
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"en",
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"region:us"
] | null | 2024-04-20T05:43:31+00:00 | [] | [
"en"
] | TAGS
#mlx #safetensors #llama #facebook #meta #pytorch #llama-3 #text-generation #en #license-other #region-us
|
# lucataco/Meta-Llama-3-8B-4bit
This model was converted to MLX format from ['meta-llama/Meta-Llama-3-8B']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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text-generation | transformers |
## Llamacpp Quantizations of Llama-3-Smaug-8B
This model has the <|eot_id|> token set to not-special, which seems to work better with current inference engines.
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> fork from pcuenca <a href="https://github.com/pcuenca/llama.cpp/tree/llama3-conversion... | {"license": "llama2", "library_name": "transformers", "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/Llama-3-Smaug-8B-GGUF | null | [
"transformers",
"gguf",
"text-generation",
"license:llama2",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T05:46:42+00:00 | [] | [] | TAGS
#transformers #gguf #text-generation #license-llama2 #endpoints_compatible #region-us
| Llamacpp Quantizations of Llama-3-Smaug-8B
------------------------------------------
This model has the <|eot\_id|> token set to not-special, which seems to work better with current inference engines.
Using <a href="URL fork from pcuenca <a href="URL for quantization.
Original model: URL
All quants made using ... | [] | [
"TAGS\n#transformers #gguf #text-generation #license-llama2 #endpoints_compatible #region-us \n"
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/dumbo-stable3 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
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"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T05:47:25+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- 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. -->
# byt5_add
This model is a fine-tuned version of [google/byt5-small](https://huggingface.co/google/byt5-small) on an unknown datas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/byt5-small", "model-index": [{"name": "byt5_add", "results": []}]} | AlexWang99/byt5_add_10k | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
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| byt5\_add
=========
This model is a fine-tuned version of google/byt5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1606
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information need... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 800\n* eval\\_batch\\_size: 800\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 50",
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - vietvo/sdxl-lora-viet
<Gallery />
## Model description
These are vietvo/sdxl-lora-viet 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 encoder was enabled: Fals... | {"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": "A photo of viet and thao wearing casual clothes, taking a selfie, and smiling."... | vietvo/sdxl-lora-viet | null | [
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"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-20T05:48:45+00:00 | [] | [] | TAGS
#diffusers #autotrain #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# AutoTrain SDXL LoRA DreamBooth - vietvo/sdxl-lora-viet
<Gallery />
## Model description
These are vietvo/sdxl-lora-viet LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for training... | [
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text-generation | mlx |
# lucataco/Meta-Llama-3-8B-Instruct-4bit
This model was converted to MLX format from [`meta-llama/Meta-Llama-3-8B-Instruct`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) for more details on the model.
## Use with mlx
```bash
pip inst... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "mlx"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"A... | lucataco/Meta-Llama-3-8B-Instruct-4bit | null | [
"mlx",
"safetensors",
"llama",
"facebook",
"meta",
"pytorch",
"llama-3",
"text-generation",
"conversational",
"en",
"license:other",
"region:us"
] | null | 2024-04-20T05:49:04+00:00 | [] | [
"en"
] | TAGS
#mlx #safetensors #llama #facebook #meta #pytorch #llama-3 #text-generation #conversational #en #license-other #region-us
|
# lucataco/Meta-Llama-3-8B-Instruct-4bit
This model was converted to MLX format from ['meta-llama/Meta-Llama-3-8B-Instruct']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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text-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": []} | satishsingh90/FineTuneBert_toxic_comment | null | [
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"bert",
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"arxiv:1910.09700",
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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null | transformers |
# Uploaded model
- **Developed by:** Rupesh2
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Rupesh2/Llama3Hindi | null | [
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|
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<img src="URL width="200"/>
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="yunkimmy/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional at... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | yunkimmy/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-20T05:56:18+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
null | null | # Abnehm Gummibärchen Test Deutschland Erfahrungen Bewertung Preis, Kaufen
Abnehm Gummibärchen Test Deutschland Neu ist die Idee vom Abnehm-Gummibärchen nicht. Ein Autor mit dem Pseudonym Adrian Janson behauptete bereits 2011 in seinem Buch "Die Gummibärchen-Diät - Abnehmen mit Bärenkraft", er habe dank Fruchtgummis v... | {} | VKapseln475/Abnehm55 | null | [
"region:us"
] | null | 2024-04-20T05:57:42+00:00 | [] | [] | TAGS
#region-us
| # Abnehm Gummibärchen Test Deutschland Erfahrungen Bewertung Preis, Kaufen
Abnehm Gummibärchen Test Deutschland Neu ist die Idee vom Abnehm-Gummibärchen nicht. Ein Autor mit dem Pseudonym Adrian Janson behauptete bereits 2011 in seinem Buch "Die Gummibärchen-Diät - Abnehmen mit Bärenkraft", er habe dank Fruchtgummis v... | [
"# Abnehm Gummibärchen Test Deutschland Erfahrungen Bewertung Preis, Kaufen\n\nAbnehm Gummibärchen Test Deutschland Neu ist die Idee vom Abnehm-Gummibärchen nicht. Ein Autor mit dem Pseudonym Adrian Janson behauptete bereits 2011 in seinem Buch \"Die Gummibärchen-Diät - Abnehmen mit Bärenkraft\", er habe dank Fruch... | [
"TAGS\n#region-us \n",
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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 [TIES](https://arxiv.org/abs/2306.01708) merge method using [Grayx/sad_llama_6](https://huggingface.co/Grayx/sad_llama_6) as a base.
#... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["cloudyu/Meta-Llama-3-8B-Instruct-DPO", "Grayx/sad_llama_6"]} | allknowingroger/Llam3merge4 | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
... | null | 2024-04-20T05:59:37+00:00 | [
"2306.01708"
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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 TIES merge method using Grayx/sad_llama_6 as a base.
### Models Merged
The following models were included in the merge:
* cloudyu/Meta-Llama-3-8B-Instruct-DPO
### Config... | [
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text-generation | transformers |
<img src=https://huggingface.co/lodrick-the-lafted/Copus-2x8B/resolve/main/copus.png>
MoE'd up:
- [dreamgen/opus-v1.2-llama-3-8b](https://huggingface.co/dreamgen/opus-v1.2-llama-3-8b)
- [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct)_
Which were the two most inte... | {"license": "llama2"} | blockblockblock/Copus-2x8B-bpw3.5 | null | [
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-20T05:59:38+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #conversational #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
<img src=URL
MoE'd up:
- dreamgen/opus-v1.2-llama-3-8b
- NousResearch/Meta-Llama-3-8B-Instruct_
Which were the two most interesting llama3 finetunes as of yet. Resulting model seems OK. It's not on Miqu's level, anyway.
Blah, blah, llama 3 license (no tag for it yet). Also not going to name my model Llama-3-Copus. ... | [] | [
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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. -->
# NDD-dimeshift_test-content_tags
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilber... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "NDD-dimeshift_test-content_tags", "results": []}]} | lgk03/NDD-dimeshift_test-content_tags | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T06:00:09+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| NDD-dimeshift\_test-content\_tags
=================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4229
* Accuracy: 0.9098
* F1: 0.8904
* Precision: 0.8805
* Recall: 0.9098
Model description
--... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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text-generation | null |
## Exllama v2 Quantizations of opus-v1.2-llama-3-8b
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.19">turboderp's ExLlamaV2 v0.0.19</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each branch co... | {"language": ["en"], "license": "cc-by-nc-nd-4.0", "tags": ["unsloth", "axolotl"], "pipeline_tag": "text-generation", "quantized_by": "bartowski"} | bartowski/opus-v1.2-llama-3-8b-exl2 | null | [
"unsloth",
"axolotl",
"text-generation",
"en",
"license:cc-by-nc-nd-4.0",
"region:us"
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"en"
] | TAGS
#unsloth #axolotl #text-generation #en #license-cc-by-nc-nd-4.0 #region-us
| Exllama v2 Quantizations of opus-v1.2-llama-3-8b
------------------------------------------------
Using <a href="URL ExLlamaV2 v0.0.19 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
Each branch contains an individual bits per weight, wit... | [] | [
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null | peft |
# llama-airo-3
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
## Details
... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "datasets": ["jondurbin/airoboros-3.2"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "out", "results": []}]} | saucam/llama-airo-3 | null | [
"peft",
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"dataset:jondurbin/airoboros-3.2",
"base_model:meta-llama/Meta-Llama-3-8B",
"license:apache-2.0",
"region:us"
] | null | 2024-04-20T06:08:43+00:00 | [] | [] | TAGS
#peft #safetensors #llama #generated_from_trainer #dataset-jondurbin/airoboros-3.2 #base_model-meta-llama/Meta-Llama-3-8B #license-apache-2.0 #region-us
| ![](URL
llama-airo-3
============
<img src="URL alt="Built with Axolotl" width="200" height="32"/>
Details
-------
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the jondurbin/airoboros-3.2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8437
Training procedu... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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text-generation | transformers | # [MaziyarPanahi/Llama-3-Smaug-8B-GGUF](https://huggingface.co/MaziyarPanahi/Llama-3-Smaug-8B-GGUF)
- Model creator: [abacusai](https://huggingface.co/abacusai)
- Original model: [abacusai/Llama-3-Smaug-8B](https://huggingface.co/abacusai/Llama-3-Smaug-8B)
## Description
[MaziyarPanahi/Llama-3-Smaug-8B-GGUF](https://h... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "text-generation", "mixtral", "text-generation"], "model_name": "Llama-3-Smaug-8B-GGUF", "base_model": "abacusai/Llama-3-Smaug-8B", "inference": false, "model_creator": "abacusai", "pipeline_tag": "text-generation", "quantized_by": "Ma... | MaziyarPanahi/Llama-3-Smaug-8B-GGUF | null | [
"transformers",
"gguf",
"mistral",
"quantized",
"2-bit",
"3-bit",
"4-bit",
"5-bit",
"6-bit",
"8-bit",
"GGUF",
"text-generation",
"mixtral",
"base_model:abacusai/Llama-3-Smaug-8B",
"text-generation-inference",
"region:us"
] | null | 2024-04-20T06:09:07+00:00 | [] | [] | TAGS
#transformers #gguf #mistral #quantized #2-bit #3-bit #4-bit #5-bit #6-bit #8-bit #GGUF #text-generation #mixtral #base_model-abacusai/Llama-3-Smaug-8B #text-generation-inference #region-us
| # MaziyarPanahi/Llama-3-Smaug-8B-GGUF
- Model creator: abacusai
- Original model: abacusai/Llama-3-Smaug-8B
## Description
MaziyarPanahi/Llama-3-Smaug-8B-GGUF contains GGUF format model files for abacusai/Llama-3-Smaug-8B.
## How to use
## Load GGUF models
You 'MUST' follow the prompt template provided by Llama-3:
... | [
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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. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "other", "library_name": "peft", "tags": ["axolotl", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-70B-Instruct", "model-index": [{"name": "empower-functions-llama3-70b-parallel-all-linear", "results": []}]} | empower-dev-staging/empower-functions-llama3-70b-parallel-all-linear | null | [
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"license:other",
"4-bit",
"region:us"
] | null | 2024-04-20T06:09:37+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #llama #axolotl #generated_from_trainer #base_model-meta-llama/Meta-Llama-3-70B-Instruct #license-other #4-bit #region-us
| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
empower-functions-llama3-70b-parallel-all-linear
================================================
This model is a fine-tuned version of meta-llama/Meta-Llama-3-70B-Instruct on the None dataset.
It achi... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | binganao/ppo-Huggy | null | [
"ml-agents",
"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
] | null | 2024-04-20T06:10:14+00:00 | [] | [] | TAGS
#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutorial* wh... | [
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text-classification | setfit |
# SetFit with sentence-transformers/paraphrase-mpnet-base-v2
This is a [SetFit](https://github.com/huggingface/setfit) model trained on the [bsen26/eyeR-classification-multi-label-category2](https://huggingface.co/datasets/bsen26/eyeR-classification-multi-label-category2) dataset that can be used for Text Classificat... | {"library_name": "setfit", "tags": ["setfit", "sentence-transformers", "text-classification", "generated_from_setfit_trainer"], "datasets": ["bsen26/eyeR-classification-multi-label-category2"], "metrics": ["accuracy"], "base_model": "sentence-transformers/paraphrase-mpnet-base-v2", "widget": [{"text": "this mcdonalds d... | bsen26/eyeR-category2-multilabel | null | [
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| SetFit with sentence-transformers/paraphrase-mpnet-base-v2
==========================================================
This is a SetFit model trained on the bsen26/eyeR-classification-multi-label-category2 dataset that can be used for Text Classification. This SetFit model uses sentence-transformers/paraphrase-mpnet-b... | [
"### Model Description\n\n\n* Model Type: SetFit\n* Sentence Transformer body: sentence-transformers/paraphrase-mpnet-base-v2\n* Classification head: a OneVsRestClassifier instance\n* Maximum Sequence Length: 512 tokens\n* Training Dataset: bsen26/eyeR-classification-multi-label-category2",
"### Model Sources\n\n... | [
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text-generation | transformers | AI Model Name: Llama 3 70B "Built with Meta Llama 3" https://llama.meta.com/llama3/license/
How to quantize 70B model so it will fit on 2x4090 GPUs:
I tried EXL2, AutoAWQ, and SqueezeLLM and they all failed for different reasons (issues opened).
HQQ worked:
I rented a 4x GPU 1TB RAM ($19/hr) instance on runpod with... | {} | catid/cat-llama-3-70b-hqq | null | [
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] | null | 2024-04-20T06:11:26+00:00 | [] | [] | TAGS
#transformers #llama #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| AI Model Name: Llama 3 70B "Built with Meta Llama 3" URL
How to quantize 70B model so it will fit on 2x4090 GPUs:
I tried EXL2, AutoAWQ, and SqueezeLLM and they all failed for different reasons (issues opened).
HQQ worked:
I rented a 4x GPU 1TB RAM ($19/hr) instance on runpod with 1024GB container and 1024GB worksp... | [] | [
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text-generation | transformers | # Konosuba gemma 7B
this is an intermidate model, it's finetuned with all konosuba script so i can build a better finetune later, i uploaded it because it could be relevant to someone
## Model Details
- **Model Name:** Gemma7B-konosuba
- **Architecture:** Gemma 7B
- **Training Format:** unsloth/gemma-7b-it-bnb-4bit
-... | {"language": ["en"], "license": "apache-2.0"} | wirytiox/Gemma7B-konosuba | null | [
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"license:apache-2.0",
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-20T06:15:46+00:00 | [] | [
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] | TAGS
#transformers #safetensors #gguf #gemma #text-generation #conversational #en #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # Konosuba gemma 7B
this is an intermidate model, it's finetuned with all konosuba script so i can build a better finetune later, i uploaded it because it could be relevant to someone
## Model Details
- Model Name: Gemma7B-konosuba
- Architecture: Gemma 7B
- Training Format: unsloth/gemma-7b-it-bnb-4bit
- Version: 1.... | [
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text-generation | mlx |
# lucataco/Meta-Llama-3-70B-Instruct-4bit
This model was converted to MLX format from [`meta-llama/Meta-Llama-3-70B-Instruct`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/meta-llama/Meta-Llama-3-70B-Instruct) for more details on the model.
## Use with mlx
```bash
pip i... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "mlx"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"A... | lucataco/Meta-Llama-3-70B-Instruct-4bit | null | [
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"llama",
"facebook",
"meta",
"pytorch",
"llama-3",
"text-generation",
"conversational",
"en",
"license:other",
"region:us"
] | null | 2024-04-20T06:17:42+00:00 | [] | [
"en"
] | TAGS
#mlx #safetensors #llama #facebook #meta #pytorch #llama-3 #text-generation #conversational #en #license-other #region-us
|
# lucataco/Meta-Llama-3-70B-Instruct-4bit
This model was converted to MLX format from ['meta-llama/Meta-Llama-3-70B-Instruct']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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null | transformers |
# Uploaded model
- **Developed by:** ntvcie
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-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/unsloth/main... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-2b-bnb-4bit"} | ntvcie/Gemma2bVinhntV6_16bit | null | [
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|
# Uploaded model
- Developed by: ntvcie
- License: apache-2.0
- Finetuned from model : unsloth/gemma-2b-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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null | peft |
# Model Card for Haggstrom
Haggstrom is an experimental & untested qlora trained on Llama 3.
As for why? This is actually my first time training with axolotl. So I wanted to try some dataset I have on hand.
<!-- Provi... | {"library_name": "peft", "datasets": ["KaraKaraWitch/AnimeSubtitle"], "base_model": "NousResearch/Meta-Llama-3-8B"} | KaraKaraWitch/Haggstrom-Test | null | [
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"llama",
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] | null | 2024-04-20T06:20:23+00:00 | [] | [] | TAGS
#peft #safetensors #llama #dataset-KaraKaraWitch/AnimeSubtitle #base_model-NousResearch/Meta-Llama-3-8B #4-bit #region-us
|
# Model Card for Haggstrom
![](URL
Haggstrom is an experimental & untested qlora trained on Llama 3.
As for why? This is actually my first time training with axolotl. So I wanted to try some dataset I have on hand.
### Framework versions
- PEFT 0.10.0 | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# falcon-7b-sharded-bf16-finetuned-HPE
This model is a fine-tuned version of [ybelkada/falcon-7b-sharded-bf16](https://huggingface... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "ybelkada/falcon-7b-sharded-bf16", "model-index": [{"name": "falcon-7b-sharded-bf16-finetuned-HPE", "results": []}]} | Aditi25/falcon-7b-sharded-bf16-finetuned-HPE | null | [
"peft",
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"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:ybelkada/falcon-7b-sharded-bf16",
"region:us"
] | null | 2024-04-20T06:23:26+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-ybelkada/falcon-7b-sharded-bf16 #region-us
|
# falcon-7b-sharded-bf16-finetuned-HPE
This model is a fine-tuned version of ybelkada/falcon-7b-sharded-bf16 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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text-generation | transformers |
<img src=https://huggingface.co/lodrick-the-lafted/Copus-2x8B/resolve/main/copus.png>
MoE'd up:
- [dreamgen/opus-v1.2-llama-3-8b](https://huggingface.co/dreamgen/opus-v1.2-llama-3-8b)
- [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct)_
Which were the two most inte... | {"license": "llama2"} | blockblockblock/Copus-2x8B-bpw3.7 | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"conversational",
"license:llama2",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-20T06:23:36+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #conversational #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
<img src=URL
MoE'd up:
- dreamgen/opus-v1.2-llama-3-8b
- NousResearch/Meta-Llama-3-8B-Instruct_
Which were the two most interesting llama3 finetunes as of yet. Resulting model seems OK. It's not on Miqu's level, anyway.
Blah, blah, llama 3 license (no tag for it yet). Also not going to name my model Llama-3-Copus. ... | [] | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="yunkimmy/taxi", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
env... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "taxi", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.56 +/- 2.7... | yunkimmy/taxi | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-20T06:24:35+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Vignav/llama-2-7b-cars-v3
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show u... | {"language": ["en"], "library_name": "transformers", "base_model": "Vignav/llama-2-7b-cars-v3", "quantized_by": "mradermacher"} | mradermacher/llama-2-7b-cars-v3-GGUF | null | [
"transformers",
"gguf",
"en",
"base_model:Vignav/llama-2-7b-cars-v3",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T06:25:35+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #base_model-Vignav/llama-2-7b-cars-v3 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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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": []} | IntervitensInc/intv_l3_mk5 | null | [
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-20T06:27:22+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# Question_Generation_ComQ_16
This model is a fine-tuned version of [Gayathri142214002/Question_Generation_ComQ_15](https://huggin... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "Gayathri142214002/Question_Generation_ComQ_15", "model-index": [{"name": "Question_Generation_ComQ_16", "results": []}]} | Gayathri142214002/Question_Generation_ComQ_16 | null | [
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"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
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| Question\_Generation\_ComQ\_16
==============================
This model is a fine-tuned version of Gayathri142214002/Question\_Generation\_ComQ\_15 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1983
Model description
-----------------
More information needed
Intend... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# idefics2-8b-docvqa-finetuned-tutorial
This model is a fine-tuned version of [HuggingFaceM4/idefics2-8b](https://huggingface.co/H... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "HuggingFaceM4/idefics2-8b", "model-index": [{"name": "idefics2-8b-docvqa-finetuned-tutorial", "results": []}]} | gK29382231121/idefics2-8b-docvqa-finetuned-tutorial | null | [
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# idefics2-8b-docvqa-finetuned-tutorial
This model is a fine-tuned version of HuggingFaceM4/idefics2-8b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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text-generation | transformers | # **BLOSSOM-v5-llama3-8b**
[💻Github](https://github.com/Azure99/BlossomLM) • [🚀Blossom Chat Demo](https://blossom-chat.com/)
### What's new?
The Blossom V5 series models is fully trained using high-quality data distilled from gpt-4-0125-preview, resulting in significant improvements.
### Introduction
Blossom is ... | {"language": ["zh", "en"], "license": "apache-2.0", "datasets": ["Azure99/blossom-chat-v3", "Azure99/blossom-math-v4", "Azure99/blossom-wizard-v3", "Azure99/blossom-orca-v3"]} | Azure99/blossom-v5-llama3-8b | null | [
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Github • Blossom Chat Demo
### What's new?
The Blossom V5 series models is fully trained using high-quality data distilled from gpt-4-0125-preview, resulting in significant improvements.
### Introduction
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
This model is a finetuned version of [unsloth/llama-3-8b Model](https://huggingface.co/unsloth/llama-3-8b) on the dataset [Psych8k](https://huggingface.co/datasets/EmoCareAI/Psych8k).
### Model Description
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# Model Card for Model ID
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0_ablation_declr_5iters5e7_iter_1
This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingfac... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "HuggingFaceH4/mistral-7b-sft-beta", "model-index": [{"name": "0.0_ablation_declr_5iters5e7_iter_1", "results": []}]} | ZhangShenao/0.0_ablation_declr_5iters5e7_iter_1 | null | [
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# 0.0_ablation_declr_5iters5e7_iter_1
This model is a fine-tuned version of HuggingFaceH4/mistral-7b-sft-beta on the HuggingFaceH4/ultrafeedback_binarized dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More informati... | [
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text-generation | transformers |
# LLama3-Gaja-Hindi-8B-v0.1
## Overview
LLama3-Gaja-Hindi-8B-v0.1 is an extension of the Ambari series, a bilingual English/Hindi model developed and released by [Cognitivelab.in](https://www.cognitivelab.in/). This model is specialized for natural language understanding tasks, particularly in the context of instruc... | {"language": ["hi", "en"], "license": "llama2", "library_name": "transformers", "tags": ["hindi", "bilingual"]} | Cognitive-Lab/LLama3-Gaja-Hindi-8B-v0.1 | null | [
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# LLama3-Gaja-Hindi-8B-v0.1
## Overview
LLama3-Gaja-Hindi-8B-v0.1 is an extension of the Ambari series, a bilingual English/Hindi model developed and released by URL. This model is specialized for natural language understanding tasks, particularly in the context of instructional pairs. It is built upon the Llama3 8b... | [
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text-to-image | diffusers |
# Hyper-SD
Official Repository of the paper: *[Hyper-SD](https://arxiv.org/abs/2404.13686)*.
Project Page: https://hyper-sd.github.io/
## News🔥🔥🔥
* Apr.30, 2024. 💥💥💥 Our **8-Steps CFG-Preserved** [Hyper-SDXL-8steps-CFG-LoRA](https://huggingface.co/ByteDance/Hyper-SD/blob/main/Hype... | {"license": "openrail++", "library_name": "diffusers", "tags": ["lora", "text-to-image", "stable-diffusion"], "inference": false} | ByteDance/Hyper-SD | null | [
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# Hyper-SD
Official Repository of the paper: *Hyper-SD*.
Project Page: URL
## News
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null | null | ¿Qué es Diamed Pastillas?
Diamed tabletas es un suplemento dietético meticulosamente formulado y elaborado para respaldar niveles saludables de azúcar en sangre. Aprovecha el poder de los ingredientes naturales, cuidadosamente seleccionados por su potencial para mejorar la sensibilidad a la insulina y promover el meta... | {"license": "apache-2.0"} | DiamedMexico/DiamedMexico | null | [
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| ¿Qué es Diamed Pastillas?
Diamed tabletas es un suplemento dietético meticulosamente formulado y elaborado para respaldar niveles saludables de azúcar en sangre. Aprovecha el poder de los ingredientes naturales, cuidadosamente seleccionados por su potencial para mejorar la sensibilidad a la insulina y promover el meta... | [] | [
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image-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | LeoNight/custom-resnet50d | null | [
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text-generation | transformers |
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
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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. -->
# mbart-samsum
This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on ... | {"license": "mit", "tags": ["simplification", "generated_from_trainer"], "metrics": ["bleu"], "base_model": "facebook/mbart-large-50", "model-index": [{"name": "mbart-samsum", "results": []}]} | maviced/mbart-samsum | null | [
"transformers",
"tensorboard",
"safetensors",
"mbart",
"text2text-generation",
"simplification",
"generated_from_trainer",
"base_model:facebook/mbart-large-50",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-04-20T06:40:10+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #mbart #text2text-generation #simplification #generated_from_trainer #base_model-facebook/mbart-large-50 #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us
| mbart-samsum
============
This model is a fine-tuned version of facebook/mbart-large-50 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.2023
* Bleu: 8.9056
* Gen Len: 21.9792
Model description
-----------------
More information needed
Intended uses & limitations
-----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5.6e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
"### Traini... | [
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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": []} | tom-brady/sn6_232 | null | [
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"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T06:40:32+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers | # merged
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the passthrough merge method.
### Models Merged
The following models were included in the merge:
* [meta-llama/Meta-Llama-3-8B-Instruct]... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["meta-llama/Meta-Llama-3-8B-Instruct"]} | gotchu/llama3-4 | null | [
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"merge",
"conversational",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-20T06:40:53+00:00 | [] | [] | TAGS
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| # merged
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the passthrough merge method.
### Models Merged
The following models were included in the merge:
* meta-llama/Meta-Llama-3-8B-Instruct
### Configuration
The following YAML... | [
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"## Merge Details",
"### Merge Method\n\nThis model was merged using the passthrough merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* meta-llama/Meta-Llama-3-8B-Instruct",
"### Conf... | [
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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/deepseek-ai/deepseek-llm-67b-chat
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/deepsee... | {"language": ["en"], "license": "other", "library_name": "transformers", "base_model": "deepseek-ai/deepseek-llm-67b-chat", "license_link": "LICENSE", "license_name": "deepseek", "quantized_by": "mradermacher"} | mradermacher/deepseek-llm-67b-chat-i1-GGUF | null | [
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"en"
] | TAGS
#transformers #gguf #en #base_model-deepseek-ai/deepseek-llm-67b-chat #license-other #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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text-generation | transformers |
# solar_merge_test_1
## 🧩 Configuration
```yaml
base_model: beomi/OPEN-SOLAR-KO-10.7B
dtype: float16
experts:
- source_model: beomi/OPEN-SOLAR-KO-10.7B
positive_prompts: ["당신은 친절한 보편적인 어시스턴트이다."]
- source_model: hyeogi/SOLAR-10.7B-dpo-v1
positive_prompts: ["당신은 친절한 어시스턴트이다."]
gate_mode: cheap_embed
toke... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "beomi/OPEN-SOLAR-KO-10.7B", "hyeogi/SOLAR-10.7B-dpo-v1"], "base_model": ["beomi/OPEN-SOLAR-KO-10.7B", "hyeogi/SOLAR-10.7B-dpo-v1"]} | jieunhan/solar_merge_test_1 | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"moe",
"frankenmoe",
"merge",
"mergekit",
"lazymergekit",
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"base_model:hyeogi/SOLAR-10.7B-dpo-v1",
"license:apache-2.0",
"autotrai... | null | 2024-04-20T06:46:13+00:00 | [] | [] | TAGS
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# solar_merge_test_1
## Configuration
## Usage
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"## Usage"
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text-generation | transformers |
<img src=https://huggingface.co/lodrick-the-lafted/Copus-2x8B/resolve/main/copus.png>
MoE'd up:
- [dreamgen/opus-v1.2-llama-3-8b](https://huggingface.co/dreamgen/opus-v1.2-llama-3-8b)
- [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct)_
Which were the two most inte... | {"license": "llama2"} | blockblockblock/Copus-2x8B-bpw4 | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"conversational",
"license:llama2",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-20T06:47:54+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #conversational #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
<img src=URL
MoE'd up:
- dreamgen/opus-v1.2-llama-3-8b
- NousResearch/Meta-Llama-3-8B-Instruct_
Which were the two most interesting llama3 finetunes as of yet. Resulting model seems OK. It's not on Miqu's level, anyway.
Blah, blah, llama 3 license (no tag for it yet). Also not going to name my model Llama-3-Copus. ... | [] | [
"TAGS\n#transformers #safetensors #mixtral #text-generation #conversational #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n"
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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": []} | sebajoe/batchPrompting_13b_25 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T06:48:11+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... | [
"# Model Card for Model ID",
"## Model Details",
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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": []} | sebajoe/batchPrompting_7b_25 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T06:49:20+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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text-generation | mlx |
# lucataco/Meta-Llama-3-70B-4bit
This model was converted to MLX format from [`meta-llama/Meta-Llama-3-70B`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/meta-llama/Meta-Llama-3-70B) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```pytho... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "mlx"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Date: April 18, 2024\n\"A... | lucataco/Meta-Llama-3-70B-4bit | null | [
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"llama",
"facebook",
"meta",
"pytorch",
"llama-3",
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"en",
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"region:us"
] | null | 2024-04-20T06:51:09+00:00 | [] | [
"en"
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|
# lucataco/Meta-Llama-3-70B-4bit
This model was converted to MLX format from ['meta-llama/Meta-Llama-3-70B']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
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text-to-image | diffusers |
# API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "realcartoonpixarv9"
Coding in P... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/realcartoonpixarv9 | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-20T06:52:52+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "realcartoonpixarv9"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model link: View model... | [
"# API Inference\n\n!generated from URL",
"## Get API Key\n\nGet API key from ModelsLab API, No Payment needed. \n\nReplace Key in below code, change model_id to \"realcartoonpixarv9\"\n\nCoding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs\n\nTry model for free: Generate Images\n\... | [
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"# API Inference\n\n!generated from URL",
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zephyr-7b-dpo-full-accumulation4
This model is a fine-tuned version of [data/zephyr-7b-sft-full-accumulation2](https://huggingfa... | {"tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "data/zephyr-7b-sft-full-accumulation2", "model-index": [{"name": "zephyr-7b-dpo-full-accumulation4", "results": []}]} | just1nseo/zephyr-7b-dpo-full-accumulation4 | null | [
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"safetensors",
"mistral",
"text-generation",
"alignment-handbook",
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... | null | 2024-04-20T06:54:42+00:00 | [] | [] | TAGS
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| zephyr-7b-dpo-full-accumulation4
================================
This model is a fine-tuned version of data/zephyr-7b-sft-full-accumulation2 on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5032
* Rewards/chosen: -0.9893
* Rewards/rejected: -... | [
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image-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": []} | LeoNight/custom-resnet50d-v2 | null | [
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"custom_code",
"arxiv:1910.09700",
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"1910.09700"
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#transformers #safetensors #resnet-t #image-classification #custom_code #arxiv-1910.09700 #autotrain_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:
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text-generation | transformers |
# solar_merge_test_2
## 🧩 Configuration
```yaml
base_model: beomi/OPEN-SOLAR-KO-10.7B
dtype: float16
experts:
- source_model: beomi/OPEN-SOLAR-KO-10.7B
positive_prompts: ["당신은 친절한 보편적인 어시스턴트이다."]
- source_model: hyeogi/SOLAR-10.7B-dpo-v1
positive_prompts: ["당신은 친절한 어시스턴트이다."]
- source_model: GAI-LLM/O... | {"license": "apache-2.0", "tags": ["moe", "frankenmoe", "merge", "mergekit", "lazymergekit", "beomi/OPEN-SOLAR-KO-10.7B", "hyeogi/SOLAR-10.7B-dpo-v1", "GAI-LLM/OPEN-SOLAR-KO-10.7B-mixed-v15", "megastudyedu/M-SOLAR-10.7B-v1.1-beta"], "base_model": ["beomi/OPEN-SOLAR-KO-10.7B", "hyeogi/SOLAR-10.7B-dpo", "GAI-LLM/OPEN-SOL... | jieunhan/solar_merge_test_2 | null | [
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"mixtral",
"text-generation",
"moe",
"frankenmoe",
"merge",
"mergekit",
"lazymergekit",
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"hyeogi/SOLAR-10.7B-dpo-v1",
"GAI-LLM/OPEN-SOLAR-KO-10.7B-mixed-v15",
"megastudyedu/M-SOLAR-10.7B-v1.1-beta",
"base_model:beomi/OPEN-SOLAR-KO-... | null | 2024-04-20T06:55:13+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #moe #frankenmoe #merge #mergekit #lazymergekit #beomi/OPEN-SOLAR-KO-10.7B #hyeogi/SOLAR-10.7B-dpo-v1 #GAI-LLM/OPEN-SOLAR-KO-10.7B-mixed-v15 #megastudyedu/M-SOLAR-10.7B-v1.1-beta #base_model-beomi/OPEN-SOLAR-KO-10.7B #base_model-hyeogi/SOLAR-10.7B-dpo #base_mode... |
# solar_merge_test_2
## Configuration
## Usage
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text-to-image | diffusers |
# API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "azovyarpg4"
Coding in PHP/Node/... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/azovyarpg4 | null | [
"diffusers",
"modelslab.com",
"stable-diffusion-api",
"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-20T06:56:21+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "azovyarpg4"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model link: View model
View a... | [
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image-segmentation | transformers | [github](https://github.com/yuyijiong/remote_sense_image_quality_inspection)
使用segformer模型对遥感图像进行质量检测。通过语义分割，标出以下6种类型区域，“背景”代表图片无质量问题，其余代表某一种特定质量问题：
"0": "背景",
"1": "云",
"2": "阴影",
"3": "拉花",
"4": "模糊",
"5": "光谱溢出",
"6": "扭曲" | {"language": ["zh"], "license": "cc-by-nc-4.0", "pipeline_tag": "image-segmentation"} | yuyijiong/segformer-b5-remote-sensing-quality | null | [
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"image-segmentation",
"zh",
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"zh"
] | TAGS
#transformers #pytorch #segformer #image-segmentation #zh #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| github
使用segformer模型对遥感图像进行质量检测。通过语义分割，标出以下6种类型区域，“背景”代表图片无质量问题，其余代表某一种特定质量问题：
"0": "背景",
"1": "云",
"2": "阴影",
"3": "拉花",
"4": "模糊",
"5": "光谱溢出",
"6": "扭曲" | [] | [
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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": []} | wendy41/llama-3-user111-200 | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | heyllm234/sc46 | null | [
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"arxiv:1910.09700",
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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image-classification | transformers | [github](https://github.com/yuyijiong/remote_sense_image_quality_inspection)
使用swin v2模型检测遥感图像中是否包含以下9种类型的质量问题：
"0": "云",
"1": "阴影",
"2": "拉花",
"3": "模糊",
"4": "光谱溢出",
"5": "扭曲",
"6": "拼接痕迹",
"7": "拼接错误",
"8": "条状噪声"
模型输出为9维向量，每一维的值代表图片中存在此类质量问... | {"language": ["zh"], "license": "cc-by-nc-4.0"} | yuyijiong/swin-v2-base-remote-sensing-quality | null | [
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"pytorch",
"swinv2",
"image-classification",
"zh",
"license:cc-by-nc-4.0",
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"zh"
] | TAGS
#transformers #pytorch #swinv2 #image-classification #zh #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #region-us
| github
使用swin v2模型检测遥感图像中是否包含以下9种类型的质量问题：
"0": "云",
"1": "阴影",
"2": "拉花",
"3": "模糊",
"4": "光谱溢出",
"5": "扭曲",
"6": "拼接痕迹",
"7": "拼接错误",
"8": "条状噪声"
模型输出为9维向量，每一维的值代表图片中存在此类质量问题的概率，概率大于50%视为存在此类质量问题。
| [] | [
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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": []} | TinyPixel/llama-3-adapter | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T07:04:01+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.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers |
# Llama-3-Smaug-8B
### Built with Meta Llama 3
This model was built using the Smaug recipe for improving performance on real world multi-turn conversations applied to
[meta-llama/Meta-Llama-3-8B... | {"license": "llama2", "library_name": "transformers"} | LoneStriker/Llama-3-Smaug-8B-GGUF | null | [
"transformers",
"gguf",
"license:llama2",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T07:09:10+00:00 | [] | [] | TAGS
#transformers #gguf #license-llama2 #endpoints_compatible #region-us
| Llama-3-Smaug-8B
================
### Built with Meta Llama 3
!image/png
This model was built using the Smaug recipe for improving performance on real world multi-turn conversations applied to
meta-llama/Meta-Llama-3-8B.
### Model Description
* Developed by: Abacus.AI
* License: URL
* Finetuned from model: me... | [
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null | transformers | # Model Card
This model is pretrained as a reference baseline to the Based model provided here: https://huggingface.co/hazyresearch/based-1b-50b.
Both checkpoints are pretrained on **50Bn tokens** of the Pile in the exact same data order using next token prediction.
A WandB report for training is here: https://api... | {"language": ["en"], "datasets": ["EleutherAI/pile"]} | hazyresearch/mamba-1b-50b | null | [
"transformers",
"pytorch",
"en",
"dataset:EleutherAI/pile",
"arxiv:2402.18668",
"endpoints_compatible",
"region:us"
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"2402.18668"
] | [
"en"
] | TAGS
#transformers #pytorch #en #dataset-EleutherAI/pile #arxiv-2402.18668 #endpoints_compatible #region-us
| # Model Card
This model is pretrained as a reference baseline to the Based model provided here: URL
Both checkpoints are pretrained on 50Bn tokens of the Pile in the exact same data order using next token prediction.
A WandB report for training is here: URL
### Model Sources
The model is a standard Mamba model ... | [
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null | transformers |
# Uploaded model
- **Developed by:** raviguntakala
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | raviguntakala/llama-3-8b-4bit | null | [
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# Uploaded model
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<img src="URL width="200"/>
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text-generation | transformers |
# Uploaded model
- **Developed by:** thisurawz1
- **License:** apache-2.0
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | thisurawz1/llama3_unsloth_10ep | null | [
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text-generation | transformers |
<img src=https://huggingface.co/lodrick-the-lafted/Copus-2x8B/resolve/main/copus.png>
MoE'd up:
- [dreamgen/opus-v1.2-llama-3-8b](https://huggingface.co/dreamgen/opus-v1.2-llama-3-8b)
- [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct)_
Which were the two most inte... | {"license": "llama2"} | blockblockblock/Copus-2x8B-bpw4.2 | null | [
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|
<img src=URL
MoE'd up:
- dreamgen/opus-v1.2-llama-3-8b
- NousResearch/Meta-Llama-3-8B-Instruct_
Which were the two most interesting llama3 finetunes as of yet. Resulting model seems OK. It's not on Miqu's level, anyway.
Blah, blah, llama 3 license (no tag for it yet). Also not going to name my model Llama-3-Copus. ... | [] | [
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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. -->
# wav2vec2-large-xls-r-300m-firdous-malay-colab
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://hu... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_13_0"], "base_model": "facebook/wav2vec2-large-xlsr-53", "model-index": [{"name": "wav2vec2-large-xls-r-300m-firdous-malay-colab", "results": []}]} | f77777/wav2vec2-large-xls-r-300m-firdous-malay-colab | null | [
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|
# wav2vec2-large-xls-r-300m-firdous-malay-colab
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice_13_0 dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More 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. -->
# outputs
This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on an unknown data... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "google/gemma-2b-it", "model-index": [{"name": "outputs", "results": []}]} | AJosh/outputs | null | [
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|
# outputs
This model is a fine-tuned version of google/gemma-2b-it 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 follow... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Meta-Llama-3-8B-Instruct"} | UnderstandLing/Llama-3-8B-Instruct-pt | null | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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- **Funded by [optional]:** [More Information Needed]
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text-generation | transformers |
This model is the RLHF version of `HuggingFaceH4/mistral-7b-sft-beta` without any external responses.
We perform GSHF algorithm on SFT baseline. The external signals include (1) Reward model; (2) AI-generated Prompts.
**We obtain 35.95% win-rate (34.79% LC win-rate) on Alpaca Eval v2.** The win-rate of the base mo... | {"license": "cc-by-sa-4.0"} | sfairXC/FsfairX-Zephyr-Chat-v0.1 | null | [
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| This model is the RLHF version of 'HuggingFaceH4/mistral-7b-sft-beta' without any external responses.
We perform GSHF algorithm on SFT baseline. The external signals include (1) Reward model; (2) AI-generated Prompts.
We obtain 35.95% win-rate (34.79% LC win-rate) on Alpaca Eval v2. The win-rate of the base model i... | [] | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "meta-llama/Meta-Llama-3-8B-Instruct"} | UnderstandLing/Llama-3-8B-Instruct-ru | null | [
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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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<!-- Provide a longer summary of what this model is. -->
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
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- Model type:
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### Model Sources [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. -->
# Whisper ORF Bundeslaender
This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-... | {"language": ["de"], "license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "datasets": ["rmacek/ORF-whisper-large-v3"], "metrics": ["wer"], "base_model": "openai/whisper-large-v3", "model-index": [{"name": "Whisper ORF Bundeslaender", "results": [{"task": {"type": "automatic-speech-recogn... | rmacek/ORF-large-v3-de | null | [
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| Whisper ORF Bundeslaender
=========================
This model is a fine-tuned version of openai/whisper-large-v3 on the ZIB2 Common Voice dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3878
* Wer: 17.2956
Model description
-----------------
More information needed
Intended uses &... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-finetuned-samsum
This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.1-GPTQ](https://huggingface.co/T... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "TheBloke/Mistral-7B-Instruct-v0.1-GPTQ", "model-index": [{"name": "mistral-finetuned-samsum", "results": []}]} | siddharth-magesh/mistral-finetuned-samsum | null | [
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] | null | 2024-04-20T07:25:56+00:00 | [] | [] | TAGS
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|
# mistral-finetuned-samsum
This model is a fine-tuned version of TheBloke/Mistral-7B-Instruct-v0.1-GPTQ on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### T... | [
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text-generation | transformers |
# Llama-3-Smaug-8B
### Built with Meta Llama 3
This model was built using the Smaug recipe for improving performance on real world multi-turn conversations applied to
[meta-llama/Meta-Llama-3-8B... | {"license": "llama2", "library_name": "transformers"} | LoneStriker/Llama-3-Smaug-8B-3.0bpw-h6-exl2 | null | [
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| Llama-3-Smaug-8B
================
### Built with Meta Llama 3
!image/png
This model was built using the Smaug recipe for improving performance on real world multi-turn conversations applied to
meta-llama/Meta-Llama-3-8B.
### Model Description
* Developed by: Abacus.AI
* License: URL
* Finetuned from model: me... | [
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text-generation | transformers |
# Llama-3-Smaug-8B
### Built with Meta Llama 3
This model was built using the Smaug recipe for improving performance on real world multi-turn conversations applied to
[meta-llama/Meta-Llama-3-8B... | {"license": "llama2", "library_name": "transformers"} | LoneStriker/Llama-3-Smaug-8B-4.0bpw-h6-exl2 | null | [
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] | null | 2024-04-20T07:30:19+00:00 | [] | [] | TAGS
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| Llama-3-Smaug-8B
================
### Built with Meta Llama 3
!image/png
This model was built using the Smaug recipe for improving performance on real world multi-turn conversations applied to
meta-llama/Meta-Llama-3-8B.
### Model Description
* Developed by: Abacus.AI
* License: URL
* Finetuned from model: me... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** jackdawboy
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | jackdawboy/llama3-8b-Chinese-ft | null | [
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|
# Uploaded model
- Developed by: jackdawboy
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# Llama-3-Smaug-8B
### Built with Meta Llama 3
This model was built using the Smaug recipe for improving performance on real world multi-turn conversations applied to
[meta-llama/Meta-Llama-3-8B... | {"license": "llama2", "library_name": "transformers"} | LoneStriker/Llama-3-Smaug-8B-5.0bpw-h6-exl2 | null | [
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] | null | 2024-04-20T07:32:29+00:00 | [] | [] | TAGS
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| Llama-3-Smaug-8B
================
### Built with Meta Llama 3
!image/png
This model was built using the Smaug recipe for improving performance on real world multi-turn conversations applied to
meta-llama/Meta-Llama-3-8B.
### Model Description
* Developed by: Abacus.AI
* License: URL
* Finetuned from model: me... | [
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text-generation | transformers |
# Llama-3-Smaug-8B
### Built with Meta Llama 3
This model was built using the Smaug recipe for improving performance on real world multi-turn conversations applied to
[meta-llama/Meta-Llama-3-8B... | {"license": "llama2", "library_name": "transformers"} | LoneStriker/Llama-3-Smaug-8B-6.0bpw-h6-exl2 | null | [
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] | null | 2024-04-20T07:34:59+00:00 | [] | [] | TAGS
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| Llama-3-Smaug-8B
================
### Built with Meta Llama 3
!image/png
This model was built using the Smaug recipe for improving performance on real world multi-turn conversations applied to
meta-llama/Meta-Llama-3-8B.
### Model Description
* Developed by: Abacus.AI
* License: URL
* Finetuned from model: me... | [
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text-generation | transformers |
<img src=https://huggingface.co/lodrick-the-lafted/Copus-2x8B/resolve/main/copus.png>
MoE'd up:
- [dreamgen/opus-v1.2-llama-3-8b](https://huggingface.co/dreamgen/opus-v1.2-llama-3-8b)
- [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct)_
Which were the two most inte... | {"license": "llama2"} | blockblockblock/Copus-2x8B-bpw4.4 | null | [
"transformers",
"safetensors",
"mixtral",
"text-generation",
"conversational",
"license:llama2",
"autotrain_compatible",
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"text-generation-inference",
"region:us"
] | null | 2024-04-20T07:36:52+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #conversational #license-llama2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
<img src=URL
MoE'd up:
- dreamgen/opus-v1.2-llama-3-8b
- NousResearch/Meta-Llama-3-8B-Instruct_
Which were the two most interesting llama3 finetunes as of yet. Resulting model seems OK. It's not on Miqu's level, anyway.
Blah, blah, llama 3 license (no tag for it yet). Also not going to name my model Llama-3-Copus. ... | [] | [
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text-generation | transformers | ## What is this?
This is alternative configuration for some special tokens for Opus Llama 3 models.
This is needed for some backends because of the issues described here:
- https://huggingface.co/dreamgen/opus-v1.2-llama-3-8b/discussions/3
- https://github.com/ggerganov/llama.cpp/issues/6770
## What are the changes?... | {} | dreamgen/opus-llama-3-tokens-alt | null | [
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| ## What is this?
This is alternative configuration for some special tokens for Opus Llama 3 models.
This is needed for some backends because of the issues described here:
- URL
- URL
## What are the changes?
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text-generation | transformers |
# Llama-3-Smaug-8B
### Built with Meta Llama 3
This model was built using the Smaug recipe for improving performance on real world multi-turn conversations applied to
[meta-llama/Meta-Llama-3-8B... | {"license": "llama2", "library_name": "transformers"} | LoneStriker/Llama-3-Smaug-8B-8.0bpw-h8-exl2 | null | [
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| Llama-3-Smaug-8B
================
### Built with Meta Llama 3
!image/png
This model was built using the Smaug recipe for improving performance on real world multi-turn conversations applied to
meta-llama/Meta-Llama-3-8B.
### Model Description
* Developed by: Abacus.AI
* License: URL
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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": []} | AJosh/G-22-1 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | AL-Sayed/PHY-AI1 | null | [
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|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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null | transformers |
# Uploaded model
- **Developed by:** dattaraj
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | dattaraj/llama3-8b-finetuned | null | [
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|
# Uploaded model
- Developed by: dattaraj
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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text-classification | transformers |
This reward function can be used for RLHF, including PPO, iterative SFT, iterative DPO.
The license is derived from `PKU-Alignment/PKU-SafeRLHF-30K`.
## Training
The base model is `meta-llama/Meta-Llama-3-8B-Instruct`.
We use the training script at `https://github.com/WeiXiongUST/RLHF-Reward-Modeling`.
## Uses
`... | {"license": "cc-by-nc-4.0"} | sfairXC/FsfairX-LLaMA3-RM-v0.1 | null | [
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| This reward function can be used for RLHF, including PPO, iterative SFT, iterative DPO.
The license is derived from 'PKU-Alignment/PKU-SafeRLHF-30K'.
Training
--------
The base model is 'meta-llama/Meta-Llama-3-8B-Instruct'.
We use the training script at 'URL
Uses
----
Results
-------
This Reward model is... | [] | [
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null | transformers |
# Uploaded model
- **Developed by:** catastropiyush
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-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/unslothai/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "gguf"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | catastropiyush/Alpaca_Mistral_finetune_GGUF | null | [
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|
# Uploaded model
- Developed by: catastropiyush
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
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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. -->
# flan-t5-base-airline-sentiment-analysis
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/googl... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "google/flan-t5-base", "model-index": [{"name": "flan-t5-base-airline-sentiment-analysis", "results": []}]} | sudhanshusinghaiml/flan-t5-base-airline-sentiment-analysis | null | [
"transformers",
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|
# flan-t5-base-airline-sentiment-analysis
This model is a fine-tuned version of google/flan-t5-base on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1600
- F1: 81.2771
- Gen Len: 2.8311
## Model description
More information needed
## Intended uses & limitations
More inform... | [
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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. -->
# deberta-v2-xlarge-otat-recommened-hp
This model is a fine-tuned version of [microsoft/deberta-v2-xlarge](https://huggingface.co/... | {"language": ["en"], "license": "mit", "tags": ["nycu-112-2-datamining-hw2", "generated_from_trainer"], "datasets": ["DandinPower/review_onlytitleandtext"], "metrics": ["accuracy"], "base_model": "microsoft/deberta-v2-xlarge", "model-index": [{"name": "deberta-v2-xlarge-otat-recommened-hp", "results": [{"task": {"type"... | DandinPower/deberta-v2-xlarge-otat-recommened-hp | null | [
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"base_model:microsoft/deberta-v2-xlarge",
"license:mit",
"model-index",
"autotrain_compatible",
"endpoints_compatibl... | null | 2024-04-20T07:50:22+00:00 | [] | [
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| deberta-v2-xlarge-otat-recommened-hp
====================================
This model is a fine-tuned version of microsoft/deberta-v2-xlarge on the DandinPower/review\_onlytitleandtext dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7741
* Accuracy: 0.6777
* Macro F1: 0.6756
Model descr... | [
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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. -->
# v7_trained_weigths
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "v7_trained_weigths", "results": []}]} | AmirlyPhd/v7_trained_weigths | null | [
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"base_model:meta-llama/Llama-2-7b-hf",
"license:llama2",
"region:us"
] | null | 2024-04-20T07:51:44+00:00 | [] | [] | TAGS
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| v7\_trained\_weigths
====================
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4020
Model description
-----------------
More information needed
Intended uses & limitations
------------------------... | [
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image-classification | transformers | Returns treffic sign given an image.
See https://www.kaggle.com/code/dima806/traffic-sign-detection-vit for more details.
```
Classification report:
precision recal... | {"license": "apache-2.0", "metrics": ["accuracy", "f1"]} | dima806/traffic_sign_detection | null | [
"transformers",
"safetensors",
"vit",
"image-classification",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-20T07:53:19+00:00 | [] | [] | TAGS
#transformers #safetensors #vit #image-classification #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| Returns treffic sign given an image.
See URL for more details.
!image/png
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