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text-generation | transformers |
# hus960/openbuddy-mistral2-7b-v20.3-32k-Q4_K_M-GGUF
This model was converted to GGUF format from [`OpenBuddy/openbuddy-mistral2-7b-v20.3-32k`](https://huggingface.co/OpenBuddy/openbuddy-mistral2-7b-v20.3-32k) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
... | {"language": ["zh", "en", "fr", "de", "ja", "ko", "it", "ru"], "license": "apache-2.0", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation", "inference": false} | hus960/openbuddy-mistral2-7b-v20.3-32k-Q4_K_M-GGUF | null | [
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"license:apache-2.0",
"region:us"
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#transformers #gguf #llama-cpp #gguf-my-repo #text-generation #zh #en #fr #de #ja #ko #it #ru #license-apache-2.0 #region-us
|
# hus960/openbuddy-mistral2-7b-v20.3-32k-Q4_K_M-GGUF
This model was converted to GGUF format from 'OpenBuddy/openbuddy-mistral2-7b-v20.3-32k' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or... | [
"# hus960/openbuddy-mistral2-7b-v20.3-32k-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'OpenBuddy/openbuddy-mistral2-7b-v20.3-32k' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke t... | [
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null | transformers |
# Uploaded model
- **Developed by:** MR-Eder
- **License:** apache-2.0
- **Finetuned from model :** VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct"} | MR-Eder/Llama3-wiki-de-single-pairs-f16 | null | [
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|
# Uploaded model
- Developed by: MR-Eder
- License: apache-2.0
- Finetuned from model : VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: MR-Eder\n- License: apache-2.0\n- Finetuned from model : VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct\n\nThis llama model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
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text-generation | transformers |
# hus960/openbuddy-qwen1.5-32b-v21.2-32k-Q4_K_M-GGUF
This model was converted to GGUF format from [`OpenBuddy/openbuddy-qwen1.5-32b-v21.2-32k`](https://huggingface.co/OpenBuddy/openbuddy-qwen1.5-32b-v21.2-32k) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
... | {"language": ["zh", "en", "fr", "de", "ja", "ko", "it", "ru", "fi"], "license": "other", "library_name": "transformers", "tags": ["llama-cpp", "gguf-my-repo"], "license_name": "tongyi-qianwen-license-agreement", "license_link": "https://huggingface.co/Qwen/Qwen1.5-14B/blob/39b74a78357df4d2296e838d87565967d663a67a/LICEN... | hus960/openbuddy-qwen1.5-32b-v21.2-32k-Q4_K_M-GGUF | null | [
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#transformers #gguf #llama-cpp #gguf-my-repo #text-generation #zh #en #fr #de #ja #ko #it #ru #fi #license-other #region-us
|
# hus960/openbuddy-qwen1.5-32b-v21.2-32k-Q4_K_M-GGUF
This model was converted to GGUF format from 'OpenBuddy/openbuddy-qwen1.5-32b-v21.2-32k' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or... | [
"# hus960/openbuddy-qwen1.5-32b-v21.2-32k-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'OpenBuddy/openbuddy-qwen1.5-32b-v21.2-32k' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke t... | [
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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": ["cross-encoder"]} | Jes322/cross-encoder-bert-base-fr-10 | null | [
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"safetensors",
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"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #safetensors #bert #text-classification #cross-encoder #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 |
# Function Calling Fine-tuned Llama 3 Instruct
The model is suitable for commercial use and may be purchased [here](https://buy.stripe.com/00g5l6aO9dmbcV201z).
Check out other fine-tuned function calling models [here](https://huggingface.co/collections/Trelis/function-calling-v3-657199ecbe378693925c7915).
## Quick ... | {"language": ["en"], "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "llama 3"], "datasets": ["Trelis/function_calling_v3"], "extra_gated_prompt": "Purchase access to this repo [HERE](https://buy.stripe.com/00g5l6aO9dmbcV201z)!"} | Trelis/Meta-Llama-3-70B-Instruct-function-calling | null | [
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"autotrain_compatible",
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| Function Calling Fine-tuned Llama 3 Instruct
============================================
The model is suitable for commercial use and may be purchased here.
Check out other fine-tuned function calling models here.
Quick Server Setup
------------------
Runpod one click TGI template here.
* See this YouTube Vi... | [
"### Using tokenizer.apply\\_chat\\_template\n\n\nFor an easier application of the prompt, you can set up as follows (note that the conversation below is complete, i.e. you need to remove assistant messages if you want to feed in the conversation to the model):\n\n\nSet up 'messages':\n\n\nwith 'FUNCTION\\_METADATA... | [
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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. -->
# output
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "bert-base-uncased", "model-index": [{"name": "output", "results": []}]} | Abhi964/st_sexism_task_3 | null | [
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#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# output
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2086
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information n... | [
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"## Intended uses & limitations\n\nMore information needed",
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null | null | GIST-large-Embedding-v0-GGUF
Original model: [avsolatorio/GIST-large-Embedding-v0](https://huggingface.co/avsolatorio/GIST-large-Embedding-v0)
Use llama.cpp's conversion and quantization scripts. | {} | gaianet/GIST-large-Embedding-v0-GGUF | null | [
"gguf",
"region:us"
] | null | 2024-04-23T12:05:51+00:00 | [] | [] | TAGS
#gguf #region-us
| GIST-large-Embedding-v0-GGUF
Original model: avsolatorio/GIST-large-Embedding-v0
Use URL's conversion and quantization scripts. | [] | [
"TAGS\n#gguf #region-us \n"
] | [
9
] | [
"TAGS\n#gguf #region-us \n"
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null | null | bge-large-en-v1.5-GGUF
Original model: [BAAI/bge-large-en-v1.5](https://huggingface.co/BAAI/bge-large-en-v1.5)
Use llama.cpp's conversion and quantization scripts. | {} | gaianet/bge-large-en-v1.5-GGUF | null | [
"gguf",
"region:us"
] | null | 2024-04-23T12:06:03+00:00 | [] | [] | TAGS
#gguf #region-us
| bge-large-en-v1.5-GGUF
Original model: BAAI/bge-large-en-v1.5
Use URL's conversion and quantization scripts. | [] | [
"TAGS\n#gguf #region-us \n"
] | [
9
] | [
"TAGS\n#gguf #region-us \n"
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null | null | gte-Qwen1.5-7B-instruct-GGUF
Original model: [Alibaba-NLP/gte-Qwen1.5-7B-instruct](https://huggingface.co/Alibaba-NLP/gte-Qwen1.5-7B-instruct)
Use llama.cpp's conversion and quantization scripts. | {} | gaianet/gte-Qwen1.5-7B-instruct-GGUF | null | [
"gguf",
"region:us"
] | null | 2024-04-23T12:06:22+00:00 | [] | [] | TAGS
#gguf #region-us
| gte-Qwen1.5-7B-instruct-GGUF
Original model: Alibaba-NLP/gte-Qwen1.5-7B-instruct
Use URL's conversion and quantization scripts. | [] | [
"TAGS\n#gguf #region-us \n"
] | [
9
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"TAGS\n#gguf #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": []} | Grayx/sad_llama_32 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-23T12:06:41+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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null | null |
language: en
license: cc-by-4.0
tags:
- pairwise-sequence-classification-evidence-detection
repo: https://github.com/RibhavOjha/NLU_ed
---
# Model Card for t56225ro-p37429am-ED
<!-- Provide a quick summary of what the model is/does. -->
This is a classification model that was trained to
detect, given a pair of ... | {} | RibhavOjha/bilstm-evidence-detection | null | [
"region:us"
] | null | 2024-04-23T12:07:04+00:00 | [] | [] | TAGS
#region-us
|
language: en
license: cc-by-4.0
tags:
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repo: URL
---
# Model Card for t56225ro-p37429am-ED
This is a classification model that was trained to
detect, given a pair of claim and evidence, if the evidence supports or refutes the claim.
## Model Details
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null | null | # SwahiliInstruct-v0.1-GGUF
This repo contains models from LLM `SwahiliInstruct-v0.1` in GGUF format in quantization:
- q_3_k_m
- q_4_k_m
- q_5_k_m
## Provided files
| Name | Quant method | Bits | Size | Max RAM required | Use case |
| ---- | ---- | ---- | ---- | ---- | ----- |
| [swahiliinstruct-v0.1.Q3_K_M.g... | {"language": ["en", "sw"], "license": "mit", "tags": ["text-generation-inference"]} | wambugu1738/SwahiliInstruct-v0.1-GGUF | null | [
"gguf",
"text-generation-inference",
"en",
"sw",
"license:mit",
"region:us"
] | null | 2024-04-23T12:09:13+00:00 | [] | [
"en",
"sw"
] | TAGS
#gguf #text-generation-inference #en #sw #license-mit #region-us
| SwahiliInstruct-v0.1-GGUF
=========================
This repo contains models from LLM 'SwahiliInstruct-v0.1' in GGUF format in quantization:
* q\_3\_k\_m
* q\_4\_k\_m
* q\_5\_k\_m
Provided files
--------------
#loading the models on cpu
* Installing the library
* Python code
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned-adapters_Aleatoric_tiny_0.0_Seed105 | null | [
"peft",
"arxiv:1910.09700",
"base_model:TinyLlama/TinyLlama-1.1B-Chat-v1.0",
"region:us"
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#peft #arxiv-1910.09700 #base_model-TinyLlama/TinyLlama-1.1B-Chat-v1.0 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
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### Model Sources [optional]
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Info... | {"library_name": "peft", "base_model": "TinyLlama/TinyLlama-1.1B-Chat-v1.0"} | bmehrba/TinyLlama-1.1B-Chat-v1.0-fine-tuned_Aleatoric_tiny_0.0_Seed105 | null | [
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# Model Card for Model ID
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### Model Description
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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": []} | hams2/markasgup1 | null | [
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# Model Card for Model ID
## Model Details
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null | transformers |
# Uploaded model
- **Developed by:** candenizkocak
- **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.
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# Uploaded model
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null | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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#diffusers #safetensors #arxiv-1910.09700 #region-us
|
# Model Card for Model ID
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This is the model card of a diffusers 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": []} | hams2/markasgup2 | null | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | mahdi76/ppo-LunarLander-v2 | null | [
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"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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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": []} | abhijithgururaj/blip2-opt-2.7b-spanish-post-lora-final | null | [
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"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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#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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null | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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"region:us"
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## Model Details
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image-to-text | mlx |
# mlx-community/llava-1.5-7b-4bit
This model was converted to MLX format from [`llava-hf/llava-1.5-7b-hf`]() using mlx-vllm version **0.0.3**.
Refer to the [original model card](https://huggingface.co/llava-hf/llava-1.5-7b-hf) for more details on the model.
## Use with mlx
```bash
pip install -U mlx-vlm
```
```bash
... | {"language": ["en"], "tags": ["mlx"], "datasets": ["liuhaotian/LLaVA-Instruct-150K"], "pipeline_tag": "image-to-text", "inference": false, "arxiv": 2304.08485} | mlx-community/llava-1.5-7b-4bit | null | [
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# mlx-community/llava-1.5-7b-4bit
This model was converted to MLX format from ['llava-hf/llava-1.5-7b-hf']() using mlx-vllm version 0.0.3.
Refer to the original model card for more details on the model.
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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null | transformers |
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text-classification | transformers |
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null | transformers |
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text-generation | transformers |
# Model Card for Model ID
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<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
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| GreenBit LLMs
=============
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
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=============
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# leagaleasy-llama-3-instruct-v0
This model is a fine-tuned version of [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "NousResearch/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "leagaleasy-llama-3-instruct-v0", "results": []}]} | llm-wizard/leagaleasy-llama-3-instruct-v0 | null | [
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object-detection | 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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#transformers #safetensors #detr #object-detection #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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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | krogmann/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-23T12:22:33+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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] |
null | null | The ToolsBaer OLM to MSG Conversion application allows users to quickly and safely convert OLM files to the MSG file format in large quantities. This software converts OLM to MSG files and can easily handle OLM files of any size or quality. Users can export an OLM file to MSG format in a few easy steps. Following these... | {} | madelineoliver/ToolsBaer-OLM-to-MSG-Conversion | null | [
"region:us"
] | null | 2024-04-23T12:22:36+00:00 | [] | [] | TAGS
#region-us
| The ToolsBaer OLM to MSG Conversion application allows users to quickly and safely convert OLM files to the MSG file format in large quantities. This software converts OLM to MSG files and can easily handle OLM files of any size or quality. Users can export an OLM file to MSG format in a few easy steps. Following these... | [] | [
"TAGS\n#region-us \n"
] | [
5
] | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/adalbertojunior/Llama-3-8B-Instruct-Portuguese-v0.2-fft
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at th... | {"language": ["en"], "library_name": "transformers", "datasets": ["adalbertojunior/dolphin_pt_test"], "base_model": "adalbertojunior/Llama-3-8B-Instruct-Portuguese-v0.2-fft", "quantized_by": "mradermacher"} | mradermacher/Llama-3-8B-Instruct-Portuguese-v0.2-fft-GGUF | null | [
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"endpoints_compatible",
"region:us"
] | null | 2024-04-23T12:22:51+00:00 | [] | [
"en"
] | TAGS
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | cheungra/ocularaid-diffusion-H | null | [
"diffusers",
"safetensors",
"arxiv:1910.09700",
"region:us"
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#diffusers #safetensors #arxiv-1910.09700 #region-us
|
# Model Card for Model ID
## Model Details
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This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# vit-base-beans
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "vit-base-beans", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "im... | Sanjaii/vit-base-beans | null | [
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| vit-base-beans
==============
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4079
* Accuracy: 0.7
Model description
-----------------
More information needed
Intended uses & limitations
----... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\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: 50\n* mixed\\_pre... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-base-patch4-window7-224-in22k-Kontur-competition-1.2K
This model is a fine-tuned version of [microsoft/swin-base-patch4-win... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "microsoft/swin-base-patch4-window7-224-in22k", "model-index": [{"name": "swin-base-patch4-window7-224-in22k-Kontur-competition-1.2K", "results": []}]} | t1msan/swin-base-patch4-window7-224-in22k-Kontur-competition-1.2K | null | [
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| swin-base-patch4-window7-224-in22k-Kontur-competition-1.2K
==========================================================
This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224-in22k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0200
Model descrip... | [
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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. -->
# basic_train_basic_test 1000 similar params: per_device_train_batch_size=16, # bylo 16 a pod tim 1 gradient_accumulation_steps=1, ... | {"language": ["multilingual"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "basic_train_basic_test 1000 similar params: per_device_train_batch_s... | xbilek25/whisper-small-train-basic_1000_v1.0 | null | [
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===================================================================================================================================================... | [
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null | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | cheungra/ocularaid-scheduler-H | null | [
"diffusers",
"arxiv:1910.09700",
"region:us"
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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 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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- Model type:
- Language(s) (NLP):
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object-detection | 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. -->
# detr
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/detr-resnet-50", "model-index": [{"name": "detr", "results": []}]} | AnnabelKaasik/detr | null | [
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"base_model:facebook/detr-resnet-50",
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#transformers #tensorboard #safetensors #detr #object-detection #generated_from_trainer #base_model-facebook/detr-resnet-50 #license-apache-2.0 #endpoints_compatible #region-us
| detr
====
This model is a fine-tuned version of facebook/detr-resnet-50 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0589
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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null | transformers |
# Uploaded model
- **Developed by:** MR-Eder
- **License:** apache-2.0
- **Finetuned from model :** VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct"} | MR-Eder/Llama3-wiki-de-single-pairs-q4-k-m | null | [
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|
# Uploaded model
- Developed by: MR-Eder
- License: apache-2.0
- Finetuned from model : VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
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<img src="URL width="200"/>
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null | null | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg"} | PrunaAI/llama3-42b-v0-GGUF-smashed | null | [
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[](URL target=)
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![LinkedIn](URL
![Discord](URL
This repo contains GGUF versions of the chargoddard/llama3-42b-v0 model.
------------------------------------------------------------------------
Simply make AI models cheaper, smaller, faster, and greener!
========... | [
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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": []} | Edgar404/donut-shivi-cheques_pruning_l1_0.20 | 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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zero-shot-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. -->
# stocks
This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-aina/ro... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "projecte-aina/roberta-base-ca-v2-cased-te", "pipeline_tag": "zero-shot-classification", "model-index": [{"name": "stocks", "results": []}]} | adriansanz/test23042024 | null | [
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| stocks
======
This model is a fine-tuned version of projecte-aina/roberta-base-ca-v2-cased-te on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7709
* Accuracy: 0.7875
* Precision: 0.5276
* Recall: 0.5256
* F1: 0.5261
* Ratio: 0.5083
Model description
-----------------
More... | [
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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. -->
# llava-1.5-7b-hf-ft-mix-vsft
This model is a fine-tuned version of [llava-hf/llava-v1.6-mistral-7b-hf](https://huggingface.co/lla... | {"library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "llava-hf/llava-v1.6-mistral-7b-hf", "model-index": [{"name": "llava-1.5-7b-hf-ft-mix-vsft", "results": []}]} | matchmaking/llava-1.5-7b-hf-ft-mix-vsft | null | [
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|
# llava-1.5-7b-hf-ft-mix-vsft
This model is a fine-tuned version of llava-hf/llava-v1.6-mistral-7b-hf on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
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object-detection | ultralytics |
<div align="center">
<img width="640" alt="chanelcolgate/chamdiemgianhang-vsk-v3" src="https://huggingface.co/chanelcolgate/chamdiemgianhang-vsk-v3/resolve/main/thumbnail.jpg">
</div>
### Supported Labels
```
['BOM_GEN', 'BOM_JUN', 'BOM_KID', 'BOM_SAC', 'BOM_VTG', 'BOM_YTV', 'HOP_FEJ', 'HOP_FRE', 'HOP_JUN', 'HOP_P... | {"library_name": "ultralytics", "tags": ["ultralyticsplus", "yolov8", "ultralytics", "yolo", "vision", "object-detection", "pytorch"], "datasets": ["chanelcolgate/yenthienviet"], "library_version": "8.0.239", "inference": false, "model-index": [{"name": "chanelcolgate/chamdiemgianhang-vsk-v3", "results": [{"task": {"ty... | chanelcolgate/chamdiemgianhang-vsk-v3 | null | [
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"model-index",
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] | null | 2024-04-23T12:35:36+00:00 | [] | [] | TAGS
#ultralytics #tensorboard #v8 #ultralyticsplus #yolov8 #yolo #vision #object-detection #pytorch #dataset-chanelcolgate/yenthienviet #model-index #region-us
|
<div align="center">
<img width="640" alt="chanelcolgate/chamdiemgianhang-vsk-v3" src="URL
</div>
### Supported Labels
### How to use
- Install ultralyticsplus:
- Load model and perform prediction:
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] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | 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]
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# Model Card for Model ID
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### Model Description
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zero-shot-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. -->
# stocks
This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-aina/ro... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "projecte-aina/roberta-base-ca-v2-cased-te", "pipeline_tag": "zero-shot-classification", "model-index": [{"name": "stocks", "results": []}]} | adriansanz/test23042024_v2 | null | [
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| stocks
======
This model is a fine-tuned version of projecte-aina/roberta-base-ca-v2-cased-te on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7277
* Accuracy: 0.8042
* Precision: 0.8164
* Recall: 0.8082
* F1: 0.8034
* Ratio: 0.5833
Model description
-----------------
More... | [
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text-generation | peft |
# molbal/horrorllama3-8b-v1.0 model card
This model is a fine-tuned variant of the llama3-8b. It was specifically trained on a dataset of horror novels obtained from Project Gutenberg,
a public domain digital library platform. It is the result of following a guide: https://github.com/molbal/llm-text-completion-finet... | {"language": ["en"], "license": "unlicense", "library_name": "peft", "datasets": ["molbal/horror-novel-chunks"], "pipeline_tag": "text-generation"} | molbal/horrorllama3-8b-v1.0 | null | [
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|
# molbal/horrorllama3-8b-v1.0 model card
This model is a fine-tuned variant of the llama3-8b. It was specifically trained on a dataset of horror novels obtained from Project Gutenberg,
a public domain digital library platform. It is the result of following a guide: URL
!image/jpeg
## Model Details
### Training
... | [
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text-generation | transformers | Quantizations of https://huggingface.co/pansophic/rocket-3B
# From original readme
## Input Format
The model is trained with the ChatML format:
```
<|im_start|>system
System message here.<|im_end|>
<|im_start|>user
Your message here!<|im_end|>
<|im_start|>assistant
```
Here's how you can run the model using 🤗 Tran... | {"language": ["en"], "license": "other", "tags": ["transformers", "gguf", "imatrix", "rocket-3B"], "inference": false, "pipeline_tag": "text-generation"} | duyntnet/rocket-3B-imatrix-GGUF | null | [
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#transformers #gguf #imatrix #rocket-3B #text-generation #en #license-other #region-us
| Quantizations of URL
# From original readme
## Input Format
The model is trained with the ChatML format:
Here's how you can run the model using Transformers:
'''python
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
model = AutoModelForCausalLM.from_pretrained("pansophic/... | [
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"## Input Format\nThe model is trained with the ChatML format:\n\n\n\nHere's how you can run the model using Transformers:\n\n'''python\nimport torch\nfrom transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer\n\nmodel = AutoModelForCausalLM.from_pretrained(\"pansophic/r... | [
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text-generation | transformers |
## meta-llama/Meta-Llama-3-8B-Instruct for CTranslate2
**The model is quantized version of the [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) with int8_float16 quantization and can be used in [CTranslate2](https://github.com/OpenNMT/CTranslate2).**
## Conversion det... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "ctranslate2", "quantization", "int8", "float16"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama ... | avans06/Meta-Llama-3-8B-Instruct-ct2-int8_float16 | null | [
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| meta-llama/Meta-Llama-3-8B-Instruct for CTranslate2
---------------------------------------------------
The model is quantized version of the meta-llama/Meta-Llama-3-8B-Instruct with int8\_float16 quantization and can be used in CTranslate2.
Conversion details
------------------
The original model was converted o... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# PolizzeDonut-ProvaFreeze-tmp
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clov... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "PolizzeDonut-ProvaFreeze-tmp", "results": []}]} | tedad09/PolizzeDonut-ProvaFreeze-tmp | null | [
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|
# PolizzeDonut-ProvaFreeze-tmp
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Tra... | [
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text-generation | transformers |
# 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": []} | Grayx/sad_llama_33 | null | [
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"text-generation",
"conversational",
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"region:us"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
## llama2.c-stories110M-pruned50
This repo contains model files for [llama2.c 110M tinystories](https://huggingface.co/Xenova/llama2.c-stories110M) optimized for [NM-vLLM](https://github.com/neuralmagic/nm-vllm), a high-throughput serving engine for compressed LLMs.
This model was pruned with [SparseGPT](https://arxi... | {"tags": ["nm-vllm", "sparse"], "base_model": "Xenova/llama2.c-stories110M", "inference": true, "model_type": "llama", "quantized_by": "mgoin"} | dtransposed/llama2.c-stories110M-pruned50-compressed-tensors | null | [
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|
## llama2.c-stories110M-pruned50
This repo contains model files for llama2.c 110M tinystories optimized for NM-vLLM, a high-throughput serving engine for compressed LLMs.
This model was pruned with SparseGPT, using SparseML.
## Inference
Install NM-vLLM for fast inference and low memory-usage:
Run in a Python pipe... | [
"## llama2.c-stories110M-pruned50\nThis repo contains model files for llama2.c 110M tinystories optimized for NM-vLLM, a high-throughput serving engine for compressed LLMs.\n\nThis model was pruned with SparseGPT, using SparseML.",
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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. -->
# t5-small-finetuned-xsum
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "t5-small-finetuned-xsum", "results": []}]} | UmarSk27/t5-small-finetuned-xsum | null | [
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"region:us"
] | null | 2024-04-23T12:51:51+00:00 | [] | [] | TAGS
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| t5-small-finetuned-xsum
=======================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8695
* Rouge1: 65.9456
* Rouge2: 44.7989
* Rougel: 64.9299
* Rougelsum: 64.9316
* Gen Len: 18.9442
Model description
------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1",
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Kukedlc/SmartLlama-3-8B-MS-v0.2
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not ... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["merge", "mergekit", "lazymergekit"], "base_model": "Kukedlc/SmartLlama-3-8B-MS-v0.2", "quantized_by": "mradermacher"} | mradermacher/SmartLlama-3-8B-MS-v0.2-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - leonickson1/mcrincy_building_uncc
<Gallery />
## Model description
These are leonickson1/mcrincy_building_uncc 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 e... | {"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": "photo of a sks building"} | leonickson1/mcrincy_building_uncc | null | [
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"stable-diffusion-xl",
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"text-to-image",
"lora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-23T12:52:08+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 - leonickson1/mcrincy_building_uncc
<Gallery />
## Model description
These are leonickson1/mcrincy_building_uncc 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.
Speci... | [
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - leonickson1/prospector_building_uncc
<Gallery />
## Model description
These are leonickson1/prospector_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the ... | {"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": "photo of a sks building"} | leonickson1/prospector_building_uncc | null | [
"diffusers",
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"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"
] | null | 2024-04-23T12:52:32+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 - leonickson1/prospector_building_uncc
<Gallery />
## Model description
These are leonickson1/prospector_building_uncc 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.
... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/tvkkishore/inspire-Mistral-7B-v2-DPO-V0.2.1-32k
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time.... | {"language": ["en"], "library_name": "transformers", "tags": [], "base_model": "tvkkishore/inspire-Mistral-7B-v2-DPO-V0.2.1-32k", "quantized_by": "mradermacher"} | mradermacher/inspire-Mistral-7B-v2-DPO-V0.2.1-32k-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Edgar404/donut-shivi-cheques_pruning_l1_0.15 | 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-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - leonickson1/rowe_arts_building_uncc
<Gallery />
## Model description
These are leonickson1/rowe_arts_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the te... | {"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": "photo of a sks building"} | leonickson1/rowe_arts_building_uncc | null | [
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"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
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|
# AutoTrain SDXL LoRA DreamBooth - leonickson1/rowe_arts_building_uncc
<Gallery />
## Model description
These are leonickson1/rowe_arts_building_uncc 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.
S... | [
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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": "FacebookAI/xlm-roberta-large"} | marcus2000/HSE_PRAVO_complexity_classifier4 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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null | keras |
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters | Value |
| :-- | :-- |
| na... | {"library_name": "keras"} | juliaboschman/my_mnist_model | null | [
"keras",
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#keras #region-us
| Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
----------------------------
More information needed
Training procedure
------------------
### Training hyperparameters
The following h... | [
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - leonickson1/mebane_building_uncc
<Gallery />
## Model description
These are leonickson1/mebane_building_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text enc... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "photo of a sks building"} | leonickson1/mebane_building_uncc | null | [
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"lora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-23T12:55:17+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 - leonickson1/mebane_building_uncc
<Gallery />
## Model description
These are leonickson1/mebane_building_uncc 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.
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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. -->
# meditron-7b_both_n1400
This model is a fine-tuned version of [epfl-llm/meditron-7b](https://huggingface.co/epfl-llm/meditron-7b)... | {"license": "llama2", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "epfl-llm/meditron-7b", "model-index": [{"name": "meditron-7b_both_n1400", "results": []}]} | th135/meditron-7b_both_n1400_run3 | null | [
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"safetensors",
"llama",
"generated_from_trainer",
"base_model:epfl-llm/meditron-7b",
"license:llama2",
"region:us"
] | null | 2024-04-23T12:55:28+00:00 | [] | [] | TAGS
#peft #safetensors #llama #generated_from_trainer #base_model-epfl-llm/meditron-7b #license-llama2 #region-us
|
# meditron-7b_both_n1400
This model is a fine-tuned version of epfl-llm/meditron-7b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparam... | [
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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. -->
# meditron-7b_both_n1200
This model is a fine-tuned version of [epfl-llm/meditron-7b](https://huggingface.co/epfl-llm/meditron-7b)... | {"license": "llama2", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "epfl-llm/meditron-7b", "model-index": [{"name": "meditron-7b_both_n1200", "results": []}]} | th135/meditron-7b_both_n1200_run3 | null | [
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#peft #safetensors #llama #generated_from_trainer #base_model-epfl-llm/meditron-7b #license-llama2 #region-us
|
# meditron-7b_both_n1200
This model is a fine-tuned version of epfl-llm/meditron-7b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparam... | [
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - leonickson1/blek_gym_building_uncc
<Gallery />
## Model description
These are leonickson1/blek_gym_building_uncc 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... | {"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": "photo of a sks building"} | leonickson1/blek_gym_building_uncc | null | [
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"lora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-23T12:55:47+00:00 | [] | [] | TAGS
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|
# AutoTrain SDXL LoRA DreamBooth - leonickson1/blek_gym_building_uncc
<Gallery />
## Model description
These are leonickson1/blek_gym_building_uncc 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.
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - leonickson1/football_ground_uncc
<Gallery />
## Model description
These are leonickson1/football_ground_uncc LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text enc... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "photo of a sks building"} | leonickson1/football_ground_uncc | null | [
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"stable-diffusion-xl-diffusers",
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"lora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-23T12:56:13+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 - leonickson1/football_ground_uncc
<Gallery />
## Model description
These are leonickson1/football_ground_uncc 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.
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text-generation | transformers |
# llama-3-dragonmaid-8B
This model is based on Llama-3-8b, and is governed by [META LLAMA 3 COMMUNITY LICENSE AGREEMENT](LICENSE)
[llama-3-dragon-bophades-8B](https://huggingface.co/nbeerbower/nbeerbower/llama-3-dragon-bophades-8B) finetuned on [ResplendentAI/NSFW_RP_Format_NoQuote](https://huggingface.co/datasets/R... | {"license": "other", "library_name": "transformers", "tags": ["nsfw", "not-for-all-audiences", "experimental"], "datasets": ["ResplendentAI/NSFW_RP_Format_NoQuote"], "base_model": ["nbeerbower/llama-3-sauce-v1-8B"], "license_name": "llama3"} | nbeerbower/llama-3-dragonmaid-8B | null | [
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|
# llama-3-dragonmaid-8B
This model is based on Llama-3-8b, and is governed by META LLAMA 3 COMMUNITY LICENSE AGREEMENT
llama-3-dragon-bophades-8B finetuned on ResplendentAI/NSFW_RP_Format_NoQuote.
### Method
Finetuned using an L4 on Google Colab.
Fine-Tune Your Own Llama 2 Model in a Colab Notebook
### Configura... | [
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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. -->
# medalpaca-13b_gen_n800
This model is a fine-tuned version of [medalpaca/medalpaca-13b](https://huggingface.co/medalpaca/medalpac... | {"license": "cc", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "medalpaca/medalpaca-13b", "model-index": [{"name": "medalpaca-13b_gen_n800", "results": []}]} | th135/medalpaca-13b_gen_n800_run3 | null | [
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"llama",
"generated_from_trainer",
"base_model:medalpaca/medalpaca-13b",
"license:cc",
"region:us"
] | null | 2024-04-23T12:56:37+00:00 | [] | [] | TAGS
#peft #safetensors #llama #generated_from_trainer #base_model-medalpaca/medalpaca-13b #license-cc #region-us
|
# medalpaca-13b_gen_n800
This model is a fine-tuned version of medalpaca/medalpaca-13b 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 hyperpa... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# leagaleasy-llama-3-instruct-v1
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.c... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "leagaleasy-llama-3-instruct-v1", "results": []}]} | llm-wizard/leagaleasy-llama-3-instruct-v1 | null | [
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"license:other",
"region:us"
] | null | 2024-04-23T12:56:41+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-other #region-us
|
# leagaleasy-llama-3-instruct-v1
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedur... | [
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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. -->
# medalpaca-13b_gen_n900
This model is a fine-tuned version of [medalpaca/medalpaca-13b](https://huggingface.co/medalpaca/medalpac... | {"license": "cc", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "medalpaca/medalpaca-13b", "model-index": [{"name": "medalpaca-13b_gen_n900", "results": []}]} | th135/medalpaca-13b_gen_n900_run3 | null | [
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"llama",
"generated_from_trainer",
"base_model:medalpaca/medalpaca-13b",
"license:cc",
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#peft #safetensors #llama #generated_from_trainer #base_model-medalpaca/medalpaca-13b #license-cc #region-us
|
# medalpaca-13b_gen_n900
This model is a fine-tuned version of medalpaca/medalpaca-13b 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 hyperpa... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "other", "tags": ["generated_from_trainer"], "base_model": "Undi95/Meta-Llama-3-8B-hf", "model-index": [{"name": "lora-out", "results": []}]} | Pbug/bf_rp_base | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
lora-out
========
This model is a fine-tuned version of Undi95/Meta-Llama-3-8B-hf on the None dataset.
It achieves the following results on the evaluation set:
* Loss: nan
Model description
-------... | [
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null | keras |
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters | Value |
| :-- | :-- |
| na... | {"library_name": "keras"} | BJHeemskerk/MNIST-Trailrun | null | [
"keras",
"region:us"
] | null | 2024-04-23T12:58:53+00:00 | [] | [] | TAGS
#keras #region-us
| Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
----------------------------
More information needed
Training procedure
------------------
### Training hyperparameters
The following h... | [
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null | keras |
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters | Value |
| :-- | :-- |
| na... | {"library_name": "keras"} | Caster2/my_mnist_model | null | [
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#keras #region-us
| Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
----------------------------
More information needed
Training procedure
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null | keras |
## Model description
Dit model predict om welke cijfer het gaat. Het tussen de 0 en 9.
## Training and evaluation data
Training data = 0.96 acc
Test Data = 0.98 acc
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters | Value |
| :-- | :-- |
| name | Adam |
|... | {"library_name": "keras"} | NimaGhafar/Cijfer_model | null | [
"keras",
"region:us"
] | null | 2024-04-23T13:00:46+00:00 | [] | [] | TAGS
#keras #region-us
| Model description
-----------------
Dit model predict om welke cijfer het gaat. Het tussen de 0 en 9.
Training and evaluation data
----------------------------
Training data = 0.96 acc
Test Data = 0.98 acc
### Training hyperparameters
The following hyperparameters were used during training:
Model Plot
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text-generation | transformers |
<img src="./llama-3-merges.webp" alt="Llama-3 DPO Logo" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# Llama-3-8B-Instruct-DPO-v0.2
This model is a fine-tune (DPO) of `meta-llama/Meta-Llama-3-8B-Instruct` model.
# Quantized GGUF
All GGUF models are available here: [MaziyarPanahi/Ll... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["axolotl", "finetune", "dpo", "facebook", "meta", "pytorch", "llama", "llama-3"], "datasets": ["argilla/ultrafeedback-binarized-preferences"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "pipeline_tag": "text-generation", "licens... | MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.2 | null | [
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Llama-3-8B-Instruct-DPO-v0.2
============================
This model is a fine-tune (DPO) of 'meta-llama/Meta-Llama-3-8B-Instruct' model.
Quantized GGUF
==============
All GGUF models are available here: MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.2-GGUF
Prompt Template
===============
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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. -->
# t5-small-informal
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It ac... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "t5-small-informal", "results": []}]} | Pushparaj20/t5-small-informal | null | [
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| t5-small-informal
=================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7186
* Rouge1: 80.8589
* Rouge2: 67.0673
* Rougel: 80.7564
* Rougelsum: 80.7571
* Gen Len: 14.9451
* Accuracy Log Reg: 0.8694
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null | null |
# Experiment27pasticheMultiverseex26-7B
Experiment27pasticheMultiverseex26-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: automerger/Experiment27Pastiche-7B
... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/Experiment27pasticheMultiverseex26-7B | null | [
"merge",
"mergekit",
"lazymergekit",
"automerger",
"license:apache-2.0",
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#merge #mergekit #lazymergekit #automerger #license-apache-2.0 #region-us
|
# Experiment27pasticheMultiverseex26-7B
Experiment27pasticheMultiverseex26-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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null | peft |
# Model Card for Model ID
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text-generation | transformers |
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null | transformers |
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null | peft |
# Model Card for Model ID
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null | peft |
# Model Card for Model ID
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null | transformers |
# Uploaded model
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data:
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drop_last: false
eval_batch_size: 128
max_length: 512
multiprocessing_context: null
num_workers: 8
persistent_workers: false
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null | keras |
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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null | keras |
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| Hyperparameters | Value |
| :-- | :-- |
| na... | {"library_name": "keras"} | Wizarc/my_mnist_model | null | [
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| Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
----------------------------
More information needed
Training procedure
------------------
### Training hyperparameters
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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": []} | dawidmt/toxicity-xlm-roberta | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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null | null | ## Run info
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- short_hash: 2f0d7d9525
### Configuration
```yaml
data:
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drop_last: false
eval_batch_size: 128
max_length: 512
multiprocessing_context: null
num_workers: 8
persistent_workers: false
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replaceme... | {} | jedidiahkkh/bert-base-uncased_mnli_2f0d7d9525 | null | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** sudhir2016
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | sudhir2016/llama-3-8b-Instruct-lora-hinglish | null | [
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|
# Uploaded model
- Developed by: sudhir2016
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit
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<img src="URL width="200"/>
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta_nou1
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "roberta_nou1", "results": []}]} | dianamihalache27/roberta_nou1 | null | [
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| roberta\_nou1
=============
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6623
* Accuracy: 0.7786
* F1 Score: 0.3725
Model description
-----------------
More information needed
Intended uses & limitations
-------------------------... | [
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null | null |
# DavidAU/NEBULA-23.8B-v1.0-Q6_K-GGUF
This model was converted to GGUF format from [`TeeZee/NEBULA-23.8B-v1.0`](https://huggingface.co/TeeZee/NEBULA-23.8B-v1.0) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggin... | {"language": ["en"], "license": "apache-2.0", "tags": ["not-for-all-audiences", "llama-cpp", "gguf-my-repo"], "datasets": ["Intel/orca_dpo_pairs", "athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW", "Open-Orca/SlimOrca", "MinervaAI/Aesir-Preview", "allenai/ultrafeedback_binarized_cleaned"], "model-index": [{"name": "NEBULA-23... | DavidAU/NEBULA-23.8B-v1.0-Q6_K-GGUF | null | [
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|
# DavidAU/NEBULA-23.8B-v1.0-Q6_K-GGUF
This model was converted to GGUF format from 'TeeZee/NEBULA-23.8B-v1.0' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
No... | [
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