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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | MLexperiments/pii-NER-20240410-025921 | null | [
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"arxiv:1910.09700",
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"endpoints_compatible",
"region:us"
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#transformers #onnx #safetensors #deberta #token-classification #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 | null |
# DavidAU/PiVoT-SOLAR-10.7B-RP-Q4_K_S-GGUF
This model was converted to GGUF format from [`maywell/PiVoT-SOLAR-10.7B-RP`](https://huggingface.co/maywell/PiVoT-SOLAR-10.7B-RP) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](h... | {"language": ["en"], "license": "cc-by-sa-4.0", "tags": ["llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation"} | DavidAU/PiVoT-SOLAR-10.7B-RP-Q4_K_S-GGUF | null | [
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"gguf-my-repo",
"text-generation",
"en",
"license:cc-by-sa-4.0",
"region:us"
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"en"
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#gguf #llama-cpp #gguf-my-repo #text-generation #en #license-cc-by-sa-4.0 #region-us
|
# DavidAU/PiVoT-SOLAR-10.7B-RP-Q4_K_S-GGUF
This model was converted to GGUF format from 'maywell/PiVoT-SOLAR-10.7B-RP' 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:
Serv... | [
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"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CL... | [
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feature-extraction | transformers |
# Juliet-Chat
**Juliet-Chat** is a conversational language model that mimics Juliet's manner of speaking. It was fine-tuned on InternLM2-chat-1.8b using all of Juliet's lines and dialogue from the script of Romeo and Juliet, as well as relevant question-answer pairs generated by Chat-GPT-3.5.
> Juliet is one of the ... | {"license": "apache-2.0"} | JimmyMa99/Juliet-Chat-mini | null | [
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"feature-extraction",
"custom_code",
"license:apache-2.0",
"region:us"
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#transformers #pytorch #internlm2 #feature-extraction #custom_code #license-apache-2.0 #region-us
|
# Juliet-Chat
Juliet-Chat is a conversational language model that mimics Juliet's manner of speaking. It was fine-tuned on InternLM2-chat-1.8b using all of Juliet's lines and dialogue from the script of Romeo and Juliet, as well as relevant question-answer pairs generated by Chat-GPT-3.5.
> Juliet is one of the icon... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | ztchir/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
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text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | rubbrband/aniverse_v30 | null | [
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#diffusers #safetensors #arxiv-1910.09700 #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# 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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- Funded by [optional]:
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text-generation | transformers |
# MeliodasT3qm7_ShadowT3q
MeliodasT3qm7_ShadowT3q is a merge of the following models:
* [automerger/MeliodasT3qm7-7B](https://huggingface.co/automerger/MeliodasT3qm7-7B)
* [automerger/ShadowT3q-7B](https://huggingface.co/automerger/ShadowT3q-7B)
## 💻 Usage
```python
!pip install -qU transformers accelerate
from... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasT3qm7_ShadowT3q", "base_model": ["automerger/MeliodasT3qm7-7B", "automerger/ShadowT3q-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_by": "MaziyarPan... | MaziyarPanahi/MeliodasT3qm7_ShadowT3q | null | [
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"license:apache-2.0",
"autotrain_compatible",
"region:us"
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|
# MeliodasT3qm7_ShadowT3q
MeliodasT3qm7_ShadowT3q is a merge of the following models:
* automerger/MeliodasT3qm7-7B
* automerger/ShadowT3q-7B
## Usage
| [
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text-generation | transformers |
# Experiment26T3qm7xp_Ognoexperiment27Multi_verse_model
Experiment26T3qm7xp_Ognoexperiment27Multi_verse_model is a merge of the following models:
* [automerger/Experiment26T3qm7xp-7B](https://huggingface.co/automerger/Experiment26T3qm7xp-7B)
* [automerger/Ognoexperiment27Multi_verse_model-7B](https://huggingface.co/a... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment26T3qm7xp_Ognoexperiment27Multi_verse_model", "base_model": ["automerger/Experiment26T3qm7xp-7B", "automerger/Ognoexperiment27Multi_verse_model-7B"], "inference": false, "model_creator": "MaziyarPanahi", "p... | MaziyarPanahi/Experiment26T3qm7xp_Ognoexperiment27Multi_verse_model | null | [
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"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-10T03:19:43+00:00 | [] | [] | TAGS
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|
# Experiment26T3qm7xp_Ognoexperiment27Multi_verse_model
Experiment26T3qm7xp_Ognoexperiment27Multi_verse_model is a merge of the following models:
* automerger/Experiment26T3qm7xp-7B
* automerger/Ognoexperiment27Multi_verse_model-7B
## Usage
| [
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text-generation | transformers |
# YamshadowStrangemerges_32_YamStrangemerges_32
YamshadowStrangemerges_32_YamStrangemerges_32 is a merge of the following models:
* [automerger/YamshadowStrangemerges_32-7B](https://huggingface.co/automerger/YamshadowStrangemerges_32-7B)
* [automerger/YamStrangemerges_32-7B](https://huggingface.co/automerger/YamStran... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowStrangemerges_32_YamStrangemerges_32", "base_model": ["automerger/YamshadowStrangemerges_32-7B", "automerger/YamStrangemerges_32-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "t... | MaziyarPanahi/YamshadowStrangemerges_32_YamStrangemerges_32 | null | [
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"base_model:automerger/YamStrangemerges_32-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-10T03:19:44+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowStrangemerges_32-7B #base_model-automerger/YamStrangemerges_32-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamshadowStrangemerges_32_YamStrangemerges_32
YamshadowStrangemerges_32_YamStrangemerges_32 is a merge of the following models:
* automerger/YamshadowStrangemerges_32-7B
* automerger/YamStrangemerges_32-7B
## Usage
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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": "llama2", "tags": ["generated_from_trainer"], "base_model": "epfl-llm/meditron-7b", "model-index": [{"name": "models/aims", "results": []}]} | humantrue/aims-7b | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-10T03:19:47+00:00 | [] | [] | TAGS
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
models/aims
===========
This model is a fine-tuned version of epfl-llm/meditron-7b on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4637
Model description
---... | [
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text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | rubbrband/revAnimated_v2Rebirth | null | [
"diffusers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
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null | transformers | ## About
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static quants of https://huggingface.co/LeroyDyer/Mixtral_AI_MegaTron
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not sh... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "LeroyDyer/Mixtral_AI_MegaTron", "quantized_by": "mradermacher"} | mradermacher/Mixtral_AI_MegaTron-GGUF | null | [
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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
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If you are unsure how to use GGUF file... | [] | [
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null | null | <div align="center">
<h1>
LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation
</h1>
<div>
<a href='https://github.com/NIRVANALAN' target='_blank'>Yushi Lan</a><sup>1</sup> 
<a href='https://hongfz16.github.io' target='_blank'>Fangzhou Hong</a><sup>1</sup> 
<a href='https://... | {} | yslan/LN3Diff | null | [
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LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation
==========================================================================
[Yushi Lan](URL target=)1
[Fangzhou Hong](URL)1
[Shuai Yang](URL target=)2
[Shangchen Zhou](URL target=)1
[Xuyi Meng](URL target=)1
[Xingang Pan](URL ta... | [
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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": []} | yuiseki/RakutenAI-7B-aya-v0.1 | 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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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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## Model Details
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token-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | MLexperiments/pii-NER-20240410-032912 | 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 |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - thliang01/corgy_dog_LoRA
<Gallery />
## Model description
These are thliang01/corgy_dog_LoRA L... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a photo of TOK dog", "wi... | thliang01/corgy_dog_LoRA | null | [
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|
# SDXL LoRA DreamBooth - thliang01/corgy_dog_LoRA
<Gallery />
## Model description
These are thliang01/corgy_dog_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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text-generation | transformers |
### ASTRAL-256k-5.5b
The adowu/astral-256k-5.5b is a cutting-edge language model developed on the MistralForCausalLM architecture, designed for advanced causal language modeling tasks. This model stands out for its ability to understand and generate text with remarkable depth and context awareness, making it highly e... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["astral", "256k", "long", "mistral"], "pipeline_tag": "text-generation"} | adowu/astral-256k-5.5b | null | [
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### ASTRAL-256k-5.5b
The adowu/astral-256k-5.5b is a cutting-edge language model developed on the MistralForCausalLM architecture, designed for advanced causal language modeling tasks. This model stands out for its ability to understand and generate text with remarkable depth and context awareness, making it highly e... | [
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text-generation | transformers |
### ASTRAL-256k-5.5b-v2
The adowu/astral-256k-5.5b-v2 is a cutting-edge language model developed on the MistralForCausalLM architecture, designed for advanced causal language modeling tasks. This model stands out for its ability to understand and generate text with remarkable depth and context awareness, making it hi... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["astral", "256k", "long", "mistral"], "pipeline_tag": "text-generation"} | adowu/astral-256k-5.5b-v2 | null | [
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### ASTRAL-256k-5.5b-v2
The adowu/astral-256k-5.5b-v2 is a cutting-edge language model developed on the MistralForCausalLM architecture, designed for advanced causal language modeling tasks. This model stands out for its ability to understand and generate text with remarkable depth and context awareness, making it hi... | [
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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. -->
# llava_1.5_7b_v2_4096
This model is a fine-tuned version of [llava-hf/llava-1.5-7b-hf](https://huggingface.co/llava-hf/llava-1.5-... | {"tags": ["generated_from_trainer"], "base_model": "llava-hf/llava-1.5-7b-hf", "model-index": [{"name": "llava_1.5_7b_v2_4096", "results": []}]} | MFuyu/llava_1.5_7b_v2_4096 | null | [
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|
# llava_1.5_7b_v2_4096
This model is a fine-tuned version of llava-hf/llava-1.5-7b-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperpar... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gpt2-sft
This model is a fine-tuned version of [openai-community/gpt2-medium](https://huggingface.co/openai-community/gpt2-mediu... | {"license": "mit", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["Anthropic/hh-rlhf"], "base_model": "openai-community/gpt2-medium", "model-index": [{"name": "gpt2-sft", "results": []}]} | Jennny/gpt2-sft | null | [
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... | null | 2024-04-10T03:43:46+00:00 | [] | [] | TAGS
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| gpt2-sft
========
This model is a fine-tuned version of openai-community/gpt2-medium on the Anthropic/hh-rlhf dataset.
It achieves the following results on the evaluation set:
* Loss: 2.1977
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
M... | [
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sentence-similarity | sentence-transformers |
# Santp98/SBERT-pairs-bert-base-spanish-wwm-cased
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
... | {"tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "datasets": ["Santp98/query_generated-title-secop2"], "pipeline_tag": "sentence-similarity"} | Santp98/SBERT-pairs-bert-base-spanish-wwm-cased | null | [
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|
# Santp98/SBERT-pairs-bert-base-spanish-wwm-cased
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transf... | [
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text-generation | null |
## Llamacpp Quantizations of EulerMath-Mistral-7B
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2636">b2636</a> for quantization.
Original model: https://huggingface.co/Weyaxi/EulerMath-Mistral-7B
All quants made using ima... | {"language": ["en"], "license": "other", "tags": ["math", "alpaca", "synthetic data", "instruct", "axolotl", "finetune", "gpt4"], "datasets": ["TIGER-Lab/MathInstruct", "microsoft/orca-math-word-problems-200k"], "base_model": "meta-math/MetaMath-Mistral-7B", "quantized_by": "bartowski", "pipeline_tag": "text-generation... | bartowski/EulerMath-Mistral-7B-GGUF | null | [
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| Llamacpp Quantizations of EulerMath-Mistral-7B
----------------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
All quants made using imatrix option with dataset provided by Kalomaze here
Prompt format
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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. -->
# llama2-7b-dpo-full-wo-healthsearch_qa-ep3
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.c... | {"tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "llama2-7b-dpo-full-wo-healthsearch_qa-ep3", "results": []}]} | Minbyul/llama2-7b-dpo-full-wo-healthsearch_qa-ep3 | null | [
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|
# llama2-7b-dpo-full-wo-healthsearch_qa-ep3
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6764
- Rewards/chosen: 0.0307
- Rewards/rejected: -0.0060
- Rewards/accuracies: 0.7173
-... | [
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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. -->
# flan_sum_04-10-03-23-18
This model is a fine-tuned version of [google/flan-t5-xl](https://huggingface.co/google/flan-t5-xl) on t... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/flan-t5-xl", "model-index": [{"name": "flan_sum_04-10-03-23-18", "results": []}]} | reeddg/flan_sum_04-10-03-23-18 | null | [
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|
# flan_sum_04-10-03-23-18
This model is a fine-tuned version of google/flan-t5-xl on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameter... | [
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text-generation | transformers | # Mixtral-8x22B-v0.1
New MoE model by MistralAI
## Model Details:
- 65k context window
- 48 attention heads
- 56 layers
- 8 experts
## Benchmarks
```
ARC C (25-shot): 70.5
Hellaswag (10-shot): 88.9
MMLU (5-shot): 77.3
TruthfulQA: 52.3
Winogrande (5-shot): 85.2
GSM8K (5-shot): 76.5
Source: https://huggingface.co/mist... | {"language": ["en", "fr", "es", "it", "de"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "text-generation-inference"], "pipeline_tag": "text-generation"} | leafspark/mixtral-8x22b | null | [
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| # Mixtral-8x22B-v0.1
New MoE model by MistralAI
## Model Details:
- 65k context window
- 48 attention heads
- 56 layers
- 8 experts
## Benchmarks
The model is split into 27 parts, from the original torrent.
Magnet link and checksum: URL
## How to use:
Run git clone:
Make sure you have Python 2 or 3 installed (Hug... | [
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automatic-speech-recognition | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- 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": []} | spsither/wav2vec2_run10.1055 | null | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
### ASTRAL-256k-7b
The adowu/astral-256k-7b is a cutting-edge language model developed on the MistralForCausalLM architecture, designed for advanced causal language modeling tasks. This model stands out for its ability to understand and generate text with remarkable depth and context awareness, making it highly effec... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["astral", "256k", "long", "mistral"], "pipeline_tag": "text-generation"} | adowu/astral-256k-7b | null | [
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### ASTRAL-256k-7b
The adowu/astral-256k-7b is a cutting-edge language model developed on the MistralForCausalLM architecture, designed for advanced causal language modeling tasks. This model stands out for its ability to understand and generate text with remarkable depth and context awareness, making it highly effec... | [
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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?"}]}]} | Mewband12/autotrain-nazsw-hlsod | 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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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-based-keywords-to-sentence-Epoch-10
This model is a fine-tuned version of [mrm8488/t5-base-finetuned-common_gen](https://hugg... | {"tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "mrm8488/t5-base-finetuned-common_gen", "model-index": [{"name": "T5-based-keywords-to-sentence-Epoch-10", "results": []}]} | Ziyi98/T5-based-keywords-to-sentence-Epoch-10 | null | [
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| T5-based-keywords-to-sentence-Epoch-10
======================================
This model is a fine-tuned version of mrm8488/t5-base-finetuned-common\_gen on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.9915
* Bleu: 10.3156
* Gen Len: 13.7832
Model description
------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10\n* mixed\\_p... | [
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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": []} | UCFSD-LLMote/llama-2-Med-Quad-merged | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ccw7463/gemma-ko-2b-finetuned_ver0.3 | 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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object-detection | 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": []} | Spatiallysaying/detr-finetuned-chevyrwythrilsrhp-v2 | null | [
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# Model Card for Model ID
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text-generation | transformers |
### ASTRAL-256k-7b-v2
The adowu/astral-256k-7b-v2 is a cutting-edge language model developed on the MistralForCausalLM architecture, designed for advanced causal language modeling tasks. This model stands out for its ability to understand and generate text with remarkable depth and context awareness, making it highly... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["astral", "256k", "long", "mistral"], "pipeline_tag": "text-generation"} | adowu/astral-256k-7b-v2 | null | [
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|
### ASTRAL-256k-7b-v2
The adowu/astral-256k-7b-v2 is a cutting-edge language model developed on the MistralForCausalLM architecture, designed for advanced causal language modeling tasks. This model stands out for its ability to understand and generate text with remarkable depth and context awareness, making it highly... | [
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text-generation | transformers |
## My first ever successful merge: QueenLiz 120B
this is a linear merge of Quartet70B (https://huggingface.co/alchemonaut/QuartetAnemoi-70B-t0.0001) and Lzlv 70B (https://huggingface.co/lizpreciati... | {} | blockblockblock/QueenLiz-120B-bpw5 | null | [
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|
## My first ever successful merge: QueenLiz 120B
!image/png
this is a linear merge of Quartet70B (URL and Lzlv 70B (URL
Sharing it here so hopefully someone else with proper machine can try this out.
NOTE: Context Window should be 32K
My Q4KM GGUF here :URL
Thanks to the Mad Skills by @mradermacher - a whole s... | [
"## My first ever successful merge: QueenLiz 120B\n\n\n!image/png\n\nthis is a linear merge of Quartet70B (URL and Lzlv 70B (URL\n\nSharing it here so hopefully someone else with proper machine can try this out.\n\n\nNOTE: Context Window should be 32K\n\nMy Q4KM GGUF here :URL\n\nThanks to the Mad Skills by @mrader... | [
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text-generation | transformers |
# ASTRAL-128K
### Model Description
The adowu/astral-128k model is a state-of-the-art language model based on the MistralForCausalLM architecture, designed for causal text generation. This means the model generates text sequentially, where each subsequent word is chosen based on the previous words in the sequence. B... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["astral", "128k"], "base_model": ["adowu/a3", "adowu/a1", "adowu/a2"], "pipeline_tag": "text-generation"} | adowu/astral-128k | null | [
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|
# ASTRAL-128K
### Model Description
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
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weighted/imatrix quants of https://huggingface.co/ludis/tsukasa-120b-qlora
**No more quants incoming, as llmama.cpp crashes when trying to generate them.**
<!-- provided-files -->
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| About
-----
weighted/imatrix quants of URL
No more quants incoming, as URL crashes when trying to generate them.
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
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text-generation | transformers |
# 본 모델은 한국어 RP 모델입니다. 매우 초기버전이므로 여러 문제가 발생할 수 있습니다.
# **Open Lynn Ko 11b v0.1**
<img src="./lynn.webp" alt="lynn image" width="390"/>
## Model Description
8k ctx, more info soon
## Template
```
SYSTEM: {system}
USER: {user}
ASSISTANT: {assistant}
```
[**Join LYNN Discord**](https://discord.gg/xuZVqUyG4Y) | {"language": ["ko"], "license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences"]} | openlynn/lynn-ko-11b-v0.1 | null | [
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|
# 본 모델은 한국어 RP 모델입니다. 매우 초기버전이므로 여러 문제가 발생할 수 있습니다.
# Open Lynn Ko 11b v0.1
<img src="./URL" alt="lynn image" width="390"/>
## Model Description
8k ctx, more info soon
## Template
Join LYNN Discord | [
"# 본 모델은 한국어 RP 모델입니다. 매우 초기버전이므로 여러 문제가 발생할 수 있습니다.",
"# Open Lynn Ko 11b v0.1\n<img src=\"./URL\" alt=\"lynn image\" width=\"390\"/>",
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"# 본 모델은 한국어 RP 모델입니다. 매우 초기버전이므로 여러 문제가 발생할 수 있습니다.",
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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. -->
# flan_sum_04-10-04-20-57
This model is a fine-tuned version of [google/flan-t5-xxl](https://huggingface.co/google/flan-t5-xxl) on... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/flan-t5-xxl", "model-index": [{"name": "flan_sum_04-10-04-20-57", "results": []}]} | reeddg/flan_sum_04-10-04-20-57 | null | [
"tensorboard",
"generated_from_trainer",
"base_model:google/flan-t5-xxl",
"license:apache-2.0",
"region:us"
] | null | 2024-04-10T04:32:09+00:00 | [] | [] | TAGS
#tensorboard #generated_from_trainer #base_model-google/flan-t5-xxl #license-apache-2.0 #region-us
|
# flan_sum_04-10-04-20-57
This model is a fine-tuned version of google/flan-t5-xxl on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparamete... | [
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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": []} | yuiseki/tinyllama-q-gen-ja-wikipedia-JaQuAD-v0.1 | null | [
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"1910.09700"
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#transformers #safetensors #llama #text-generation #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 | transformers |
# DavidAU/BigMaid-20B-v1.0-Q4_K_M-GGUF
This model was converted to GGUF format from [`TeeZee/BigMaid-20B-v1.0`](https://huggingface.co/TeeZee/BigMaid-20B-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://hugging... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["roleplay", "text-generation-inference", "merge", "not-for-all-audiences", "llama-cpp", "gguf-my-repo"], "model-index": [{"name": "BigMaid-20B-v1.0", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "datas... | DavidAU/BigMaid-20B-v1.0-Q4_K_M-GGUF | null | [
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"region:us"
] | null | 2024-04-10T04:36:39+00:00 | [] | [
"en"
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|
# DavidAU/BigMaid-20B-v1.0-Q4_K_M-GGUF
This model was converted to GGUF format from 'TeeZee/BigMaid-20B-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... | [
"# DavidAU/BigMaid-20B-v1.0-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'TeeZee/BigMaid-20B-v1.0' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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text-generation | transformers |
# Boto 7B
<img src="https://i.imgur.com/xscFgqH.png" alt="logo do boto cor-de-rosa" width="300px" />
Boto é um fine-tuning do Mistral 7B para língua portuguesa. O Boto é bem "falante", as respostas tendem a ser longas e nem sempre objetivas por padrão.
Quantizações disponíveis em [lucianosb/boto-7B-GGUF](https://hu... | {"language": ["pt"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "datasets": ["cnmoro/GPT4-500k-Augmented-PTBR-Clean"], "base_model": "unsloth/mistral-7b-bnb-4bit", "widget": [{"text": "Me conte a hist\u00f3ria do Boto"}], "model-index": [{"name": "boto-7... | lucianosb/boto-7B | null | [
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"base_model:unsloth/mistral-7b-bnb-4bit",
"doi:10.57967/hf/2065",
"license:apache-2.0",
"model-index",
"autotrain_... | null | 2024-04-10T04:41:56+00:00 | [] | [
"pt"
] | TAGS
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=======
<img src="https://i.URL alt="logo do boto cor-de-rosa" width="300px" />
Boto é um fine-tuning do Mistral 7B para língua portuguesa. O Boto é bem "falante", as respostas tendem a ser longas e nem sempre objetivas por padrão.
Quantizações disponíveis em lucianosb/boto-7B-GGUF.
Acesse a demonstraçã... | [] | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# LoRA DreamBooth - Oscarbigheadfish/DBstarbuckscheckpoint
These are LoRA adaption weights for runwayml/stable-diffusion-... | {"license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["text-to-image", "diffusers", "lora", "diffusers-training", "stable-diffusion", "stable-diffusion-diffusers"], "base_model": "runwayml/stable-diffusion-v1-5", "inference": true, "instance_prompt": "a photo of sks dog"} | Oscarbigheadfish/DBstarbuckscheckpoint | null | [
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"stable-diffusion",
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"base_model:runwayml/stable-diffusion-v1-5",
"license:creativeml-openrail-m",
"region:us"
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#diffusers #text-to-image #lora #diffusers-training #stable-diffusion #stable-diffusion-diffusers #base_model-runwayml/stable-diffusion-v1-5 #license-creativeml-openrail-m #region-us
|
# LoRA DreamBooth - Oscarbigheadfish/DBstarbuckscheckpoint
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a photo of sks dog using DreamBooth. You can find some example images in the following.
!img_0
!img_1
!img_2
!img_3
LoRA for the text encoder was enabled: F... | [
"# LoRA DreamBooth - Oscarbigheadfish/DBstarbuckscheckpoint\n\nThese are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a photo of sks dog using DreamBooth. You can find some example images in the following. \n\n!img_0\n!img_1\n!img_2\n!img_3\n\n\nLoRA for the text encoder was... | [
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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. -->
# llama2-7b-dpo-full-wo-kqa_golden-ep3
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/met... | {"tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "llama2-7b-dpo-full-wo-kqa_golden-ep3", "results": []}]} | Minbyul/llama2-7b-dpo-full-wo-kqa_golden-ep3 | null | [
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"reg... | null | 2024-04-10T04:49:30+00:00 | [] | [] | TAGS
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| llama2-7b-dpo-full-wo-kqa\_golden-ep3
=====================================
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6054
* Rewards/chosen: 0.0327
* Rewards/rejected: -0.17... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-07\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 64\n*... | [
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text-generation | transformers |
# LightChatAssistant-TypeB-2x7B
#### GGUF量子化は[こちら](https://huggingface.co/Sdff-Ltba/LightChatAssistant-TypeB-2x7B-GGUF)
[Aratakoさん](https://huggingface.co/Aratako)の
[LightChatAssistant-2x7B-optimized-experimental](https://huggingface.co/Aratako/LightChatAssistant-2x7B-optimized-experimental)
でChatVectorに適用された加算割合を参考... | {"language": ["ja"], "tags": ["mistral", "mixtral", "merge", "moe", "not-for-all-audiences", "nsfw"], "base_model": ["NTQAI/chatntq-ja-7b-v1.0", "Elizezen/Antler-7B"], "pipeline_tag": "text-generation"} | Sdff-Ltba/LightChatAssistant-TypeB-2x7B | null | [
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"region:us... | null | 2024-04-10T04:51:38+00:00 | [] | [
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|
# LightChatAssistant-TypeB-2x7B
#### GGUF量子化はこちら
Aratakoさんの
LightChatAssistant-2x7B-optimized-experimental
でChatVectorに適用された加算割合を参考に、Sdff-Ltba/LightChatAssistant-2x7Bを
製作者の好みに合うように手作業で割合を調整したモデルです。
本モデルの製作にあたりAratakoさんに加算割合データの公開をお願いしたところ、快く対応してくださいました。
その時のディスカッションはこちらです。
心から感謝いたします。ありがとうございました！
## モデル特徴
Ligh... | [
"# LightChatAssistant-TypeB-2x7B",
"#### GGUF量子化はこちら\n\nAratakoさんの\nLightChatAssistant-2x7B-optimized-experimental\nでChatVectorに適用された加算割合を参考に、Sdff-Ltba/LightChatAssistant-2x7Bを\n製作者の好みに合うように手作業で割合を調整したモデルです。 \n本モデルの製作にあたりAratakoさんに加算割合データの公開をお願いしたところ、快く対応してくださいました。\nその時のディスカッションはこちらです。 \n心から感謝いたします。ありがとうございました！... | [
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text-generation | transformers |
# Credit for the model card's description goes to ddh0, mergekit, and, [01-ai](https://huggingface.co/01-ai)
# Inspired by [abacusai's bigyi-15b](https://huggingface.co/abacusai/bigyi-15b)
# BigYi-1... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": [], "license_name": "yi-license", "license_link": "LICENSE"} | Joseph717171/BigYi-15.75B-200k | null | [
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| !image/png
Credit for the model card's description goes to ddh0, mergekit, and, 01-ai
==========================================================================
Inspired by abacusai's bigyi-15b
================================
BigYi-15.75B-200K
=================
This is BigYi-15.75B-200K, a layer-interleaved ve... | [
"### Merge Method\n\n\nThis model was merged using the passthrough merge method.",
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"### Configuration\n\n\nThe following YAML configuration was used to produce this model:\n\n\n \n\... | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Juniplayground/juniper-all-mpnet-base-v2-v6 | null | [
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"mpnet",
"feature-extraction",
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#transformers #safetensors #mpnet #feature-extraction #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:
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text-generation | null |
# LightChatAssistant-TypeB-2x7B-GGUF
[Sdff-Ltba/LightChatAssistant-TypeB-2x7B](https://huggingface.co/Sdff-Ltba/LightChatAssistant-TypeB-2x7B)をGGUF変換したものです。
ファイル名に`_imatrix`が付いているものはiMatrixを併用して量子化しています。
iMatrix作成用データとして[TFMC/imatrix-dataset-for-japanese-llm](https://huggingface.co/datasets/TFMC/imatrix-dataset-f... | {"language": ["ja"], "tags": ["mistral", "mixtral", "merge", "moe", "not-for-all-audiences", "nsfw"], "datasets": ["TFMC/imatrix-dataset-for-japanese-llm"], "base_model": ["NTQAI/chatntq-ja-7b-v1.0", "Elizezen/Antler-7B"], "pipeline_tag": "text-generation"} | Sdff-Ltba/LightChatAssistant-TypeB-2x7B-GGUF | null | [
"gguf",
"mistral",
"mixtral",
"merge",
"moe",
"not-for-all-audiences",
"nsfw",
"text-generation",
"ja",
"dataset:TFMC/imatrix-dataset-for-japanese-llm",
"base_model:NTQAI/chatntq-ja-7b-v1.0",
"base_model:Elizezen/Antler-7B",
"region:us"
] | null | 2024-04-10T04:55:56+00:00 | [] | [
"ja"
] | TAGS
#gguf #mistral #mixtral #merge #moe #not-for-all-audiences #nsfw #text-generation #ja #dataset-TFMC/imatrix-dataset-for-japanese-llm #base_model-NTQAI/chatntq-ja-7b-v1.0 #base_model-Elizezen/Antler-7B #region-us
|
# LightChatAssistant-TypeB-2x7B-GGUF
Sdff-Ltba/LightChatAssistant-TypeB-2x7BをGGUF変換したものです。
ファイル名に'_imatrix'が付いているものはiMatrixを併用して量子化しています。
iMatrix作成用データとしてTFMC/imatrix-dataset-for-japanese-llmを使わせていただきました。
## 量子化手順
以下の通りに実行しました。(iMatrixを併用してiQ4XSにする場合)
## おすすめ量子化タイプ(VRAM12GBの場合)
- 容量対精度に優れる: iQ4XS or Q4KM (製作... | [
"# LightChatAssistant-TypeB-2x7B-GGUF\n\nSdff-Ltba/LightChatAssistant-TypeB-2x7BをGGUF変換したものです。 \nファイル名に'_imatrix'が付いているものはiMatrixを併用して量子化しています。 \niMatrix作成用データとしてTFMC/imatrix-dataset-for-japanese-llmを使わせていただきました。",
"## 量子化手順\n\n以下の通りに実行しました。(iMatrixを併用してiQ4XSにする場合)",
"## おすすめ量子化タイプ(VRAM12GBの場合)\n\n- 容量対精度に優れる... | [
"TAGS\n#gguf #mistral #mixtral #merge #moe #not-for-all-audiences #nsfw #text-generation #ja #dataset-TFMC/imatrix-dataset-for-japanese-llm #base_model-NTQAI/chatntq-ja-7b-v1.0 #base_model-Elizezen/Antler-7B #region-us \n",
"# LightChatAssistant-TypeB-2x7B-GGUF\n\nSdff-Ltba/LightChatAssistant-TypeB-2x7BをGGUF変換したも... | [
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text-generation | transformers |
# Misal-1B-base-v0.1
It is a language model based on TinyLlama architecture, pretrained using Marathi Text Data.
Built by - [smallstep.ai](https://smallstep.ai/)
## Making of Misal?
Detailed blog [here](https://smallstep.ai/making-misal).
## Pretraining :
During the pretraining phase of our large language mode... | {"language": ["mr"], "license": "apache-2.0", "library_name": "transformers", "tags": ["marathi"], "datasets": ["uonlp/CulturaX", "l3cube-pune/MarathiNLP", "ai4bharat/samanantar"], "pipeline_tag": "text-generation"} | smallstepai/Misal-1B-base-v0.1 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"marathi",
"mr",
"dataset:uonlp/CulturaX",
"dataset:l3cube-pune/MarathiNLP",
"dataset:ai4bharat/samanantar",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-10T04:57:36+00:00 | [] | [
"mr"
] | TAGS
#transformers #safetensors #llama #text-generation #marathi #mr #dataset-uonlp/CulturaX #dataset-l3cube-pune/MarathiNLP #dataset-ai4bharat/samanantar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Misal-1B-base-v0.1
It is a language model based on TinyLlama architecture, pretrained using Marathi Text Data.
Built by - URL
## Making of Misal?
Detailed blog here.
## Pretraining :
During the pretraining phase of our large language model, the model was exposed to a vast corpus of text data comprising appro... | [
"# Misal-1B-base-v0.1\n\nIt is a language model based on TinyLlama architecture, pretrained using Marathi Text Data.\n\nBuilt by - URL",
"## Making of Misal?\n\nDetailed blog here.",
"## Pretraining :\n\nDuring the pretraining phase of our large language model, the model was exposed to a vast corpus of text dat... | [
"TAGS\n#transformers #safetensors #llama #text-generation #marathi #mr #dataset-uonlp/CulturaX #dataset-l3cube-pune/MarathiNLP #dataset-ai4bharat/samanantar #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #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": []} | yuiseki/karasu-q-gen-ja-v0.1 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-10T04:57:54+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #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... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed... | [
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null | transformers |
# DavidAU/BigMaid-20B-v1.0-Q4_K_S-GGUF
This model was converted to GGUF format from [`TeeZee/BigMaid-20B-v1.0`](https://huggingface.co/TeeZee/BigMaid-20B-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://hugging... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["roleplay", "text-generation-inference", "merge", "not-for-all-audiences", "llama-cpp", "gguf-my-repo"], "model-index": [{"name": "BigMaid-20B-v1.0", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "datas... | DavidAU/BigMaid-20B-v1.0-Q4_K_S-GGUF | null | [
"transformers",
"gguf",
"roleplay",
"text-generation-inference",
"merge",
"not-for-all-audiences",
"llama-cpp",
"gguf-my-repo",
"en",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T05:01:07+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #roleplay #text-generation-inference #merge #not-for-all-audiences #llama-cpp #gguf-my-repo #en #license-apache-2.0 #model-index #endpoints_compatible #region-us
|
# DavidAU/BigMaid-20B-v1.0-Q4_K_S-GGUF
This model was converted to GGUF format from 'TeeZee/BigMaid-20B-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... | [
"# DavidAU/BigMaid-20B-v1.0-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'TeeZee/BigMaid-20B-v1.0' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI... | [
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"# DavidAU/BigMaid-20B-v1.0-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'TeeZee/BigMaid-20B-v1.0' using UR... | [
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"TAGS\n#transformers #gguf #roleplay #text-generation-inference #merge #not-for-all-audiences #llama-cpp #gguf-my-repo #en #license-apache-2.0 #model-index #endpoints_compatible #region-us \n# DavidAU/BigMaid-20B-v1.0-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'TeeZee/BigMaid-20B-v1.0' using URL via ... |
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... | giprayogo/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-10T05:03:13+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.",
"## Usage (with Stable-baselines3)\nTODO: Add you... | [
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"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n# PPO Agent playing LunarLander-v2\nThis is a trained model of a PPO agent playing LunarLander-v2\nusing the stable-baselines3 library.## Usage (with Stable-baselines3)\nTODO: Add your code"
] |
null | null |
# maywell/lynn-ko-11b-v0.1-Q4_K_M-GGUF
This model was converted to GGUF format from [`openlynn/lynn-ko-11b-v0.1`](https://huggingface.co/openlynn/lynn-ko-11b-v0.1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://hug... | {"language": ["ko"], "license": "cc-by-nc-4.0", "tags": ["not-for-all-audiences", "llama-cpp", "gguf-my-repo"]} | mightbe/lynn-ko-11b-v0.1-Q4_K_M-GGUF | null | [
"gguf",
"not-for-all-audiences",
"llama-cpp",
"gguf-my-repo",
"ko",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-10T05:03:25+00:00 | [] | [
"ko"
] | TAGS
#gguf #not-for-all-audiences #llama-cpp #gguf-my-repo #ko #license-cc-by-nc-4.0 #region-us
|
# maywell/lynn-ko-11b-v0.1-Q4_K_M-GGUF
This model was converted to GGUF format from 'openlynn/lynn-ko-11b-v0.1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
"# maywell/lynn-ko-11b-v0.1-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'openlynn/lynn-ko-11b-v0.1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nC... | [
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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. -->
# VoiceMath-Tiny-Tres
This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["model_eng"], "metrics": ["wer"], "model-index": [{"name": "VoiceMath-Tiny-Tres", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "model_eng", "type": "model_eng", "confi... | hoonsung/VoiceMath-Tiny-Tres | null | [
"transformers",
"pytorch",
"tensorboard",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"dataset:model_eng",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T05:03:49+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #whisper #automatic-speech-recognition #generated_from_trainer #dataset-model_eng #license-apache-2.0 #model-index #endpoints_compatible #region-us
| VoiceMath-Tiny-Tres
===================
This model is a fine-tuned version of openai/URL on the model\_eng dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6083
* Wer: 10.0232
Model description
-----------------
More information needed
Intended uses & limitations
-------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
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null | null | This is a test Hello World model commit only for testing purpose | {"license": "mit"} | ganeshkamath89/HelloWorldModel | null | [
"license:mit",
"region:us"
] | null | 2024-04-10T05:06:55+00:00 | [] | [] | TAGS
#license-mit #region-us
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summarization | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mt5_new_2
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.... | {"license": "apache-2.0", "tags": ["summarization", "generated_from_trainer"], "base_model": "google/mt5-small", "model-index": [{"name": "mt5_new_2", "results": []}]} | october-sd/mt5_new_2 | null | [
"transformers",
"tensorboard",
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"mt5",
"text2text-generation",
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"base_model:google/mt5-small",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-10T05:08:24+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #mt5 #text2text-generation #summarization #generated_from_trainer #base_model-google/mt5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| mt5\_new\_2
===========
This model is a fine-tuned version of google/mt5-small on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1204
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information nee... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5.6e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* gradient\\_accumulation\\_steps: 16\n* total\\_train\\_batch\\_size: 256\n* optimizer: Adam with betas=(0.9,0.999) and eps... | [
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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-tiny-patch4-window7-224-finetuned-teeth_dataset-finetuned-teeth_dataset-V2
This model is a fine-tuned version of [Dhyey8/sw... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "Dhyey8/swin-tiny-patch4-window7-224-finetuned-teeth_dataset", "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-teeth_dataset-finetuned-teeth_dataset-V2", "results": [{"task"... | Dhyey8/swin-tiny-patch4-window7-224-finetuned-teeth_dataset-finetuned-teeth_dataset-V2 | null | [
"transformers",
"tensorboard",
"safetensors",
"swin",
"image-classification",
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"dataset:imagefolder",
"base_model:Dhyey8/swin-tiny-patch4-window7-224-finetuned-teeth_dataset",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"regio... | null | 2024-04-10T05:09:19+00:00 | [] | [] | TAGS
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| swin-tiny-patch4-window7-224-finetuned-teeth\_dataset-finetuned-teeth\_dataset-V2
=================================================================================
This model is a fine-tuned version of Dhyey8/swin-tiny-patch4-window7-224-finetuned-teeth\_dataset on the imagefolder dataset.
It achieves the following r... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-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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automatic-speech-recognition | transformers | ## Training Distil-Whisper
This sub-folder contains all the scripts required to train a Distil-Whisper model in your choice of language. They are
slightly modified from the original scripts used to distill Whisper for English ASR (as-per the [Distil-Whisper paper](https://arxiv.org/abs/2311.00430)).
The main differen... | {} | Dragon116rus/training | null | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"arxiv:2311.00430",
"arxiv:2010.13002",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T05:09:44+00:00 | [
"2311.00430",
"2010.13002"
] | [] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #arxiv-2311.00430 #arxiv-2010.13002 #endpoints_compatible #region-us
| Training Distil-Whisper
-----------------------
This sub-folder contains all the scripts required to train a Distil-Whisper model in your choice of language. They are
slightly modified from the original scripts used to distill Whisper for English ASR (as-per the Distil-Whisper paper).
The main difference is that thes... | [
"### Short Form\n\n\nThe script 'run\\_eval.py' can be used to evaluate a trained student model over multiple short-form\nvalidation sets. The following example demonstrates how to evaluate the student model trained in the previous step on\nthe Common Voice 'test' set (ID) and also the FLEURS 'test' set (OOD). Agai... | [
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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": "microsoft/phi-2"} | AgamP/phi-2-PEFT-e5 | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:microsoft/phi-2",
"region:us"
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"1910.09700"
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#peft #safetensors #arxiv-1910.09700 #base_model-microsoft/phi-2 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
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#... | [
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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": "mistralai/Mistral-7B-Instruct-v0.2"} | av24/Enlighten_Instruct | 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]:
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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. -->
# ggg
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses ... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "ggg", "results": []}]} | universalml/ggg | null | [
"transformers",
"safetensors",
"vit",
"image-classification",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #safetensors #vit #image-classification #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us
|
# ggg
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were ... | [
"# ggg\n\nThis model was trained from scratch on an unknown dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"### Training hyperparameters\n\nThe... | [
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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/ibivibiv/hydra-moe-120b
**No more quants will be forthcoming, as llama.cpp segfaults.**
<!-- provided-files -->
static quants are a... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["moe", "moerge"], "base_model": "ibivibiv/hydra-moe-120b", "no_imarix": "https://github.com/ggerganov/llama.cpp/issues/6597", "quantized_by": "mradermacher"} | mradermacher/hydra-moe-120b-i1-GGUF | null | [
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"moerge",
"en",
"base_model:ibivibiv/hydra-moe-120b",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T05:13:55+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #moe #moerge #en #base_model-ibivibiv/hydra-moe-120b #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
weighted/imatrix quants of URL
No more quants will be forthcoming, as URL segfaults.
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
----... | [] | [
"TAGS\n#transformers #gguf #moe #moerge #en #base_model-ibivibiv/hydra-moe-120b #license-apache-2.0 #endpoints_compatible #region-us \n"
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] |
null | null |
This is [StableLM 2 Chat 1.6B](https://huggingface.co/stabilityai/stablelm-2-1_6b-chat), quantized with the help of imatrix so it could offer better performance for being quantized, and have quantization levels available for lower-memory devices to run. [Kalomaze's "groups_merged.txt"](https://github.com/ggerganov/lla... | {"language": ["en"], "license": "other", "tags": ["causal-lm"], "datasets": ["HuggingFaceH4/ultrachat_200k", "allenai/ultrafeedback_binarized_cleaned", "meta-math/MetaMathQA", "WizardLM/WizardLM_evol_instruct_V2_196k", "openchat/openchat_sharegpt4_dataset", "LDJnr/Capybara", "Intel/orca_dpo_pairs", "hkust-nlp/deita-10k... | Crataco/stablelm-2-1_6b-chat-imatrix-GGUF | null | [
"gguf",
"causal-lm",
"en",
"dataset:HuggingFaceH4/ultrachat_200k",
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"dataset:openchat/openchat_sharegpt4_dataset",
"dataset:LDJnr/Capybara",
"dataset:Intel/orca_dpo_... | null | 2024-04-10T05:16:31+00:00 | [
"2305.18290"
] | [
"en"
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#gguf #causal-lm #en #dataset-HuggingFaceH4/ultrachat_200k #dataset-allenai/ultrafeedback_binarized_cleaned #dataset-meta-math/MetaMathQA #dataset-WizardLM/WizardLM_evol_instruct_V2_196k #dataset-openchat/openchat_sharegpt4_dataset #dataset-LDJnr/Capybara #dataset-Intel/orca_dpo_pairs #dataset-hkust-nlp/deita-10k-... | This is StableLM 2 Chat 1.6B, quantized with the help of imatrix so it could offer better performance for being quantized, and have quantization levels available for lower-memory devices to run. Kalomaze's "groups\_merged.txt" was used for the importance matrix, with context set to 4,096 (the context length according t... | [
"### Training Dataset\n\n\nThe dataset is comprised of a mixture of open datasets large-scale datasets available on the HuggingFace Hub:\n\n\n1. SFT Datasets\n\n\n* HuggingFaceH4/ultrachat\\_200k\n* meta-math/MetaMathQA\n* WizardLM/WizardLM\\_evol\\_instruct\\_V2\\_196k\n* Open-Orca/SlimOrca\n* openchat/openchat\\_... | [
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null | null |
# DavidAU/LLAMA2-13B-Holodeck-1-Q8_0-GGUF
This model was converted to GGUF format from [`KoboldAI/LLAMA2-13B-Holodeck-1`](https://huggingface.co/KoboldAI/LLAMA2-13B-Holodeck-1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card... | {"language": "en", "license": "other", "tags": ["llama-cpp", "gguf-my-repo"], "commercial": false, "inference": true} | DavidAU/LLAMA2-13B-Holodeck-1-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"license:other",
"region:us"
] | null | 2024-04-10T05:19:11+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-other #region-us
|
# DavidAU/LLAMA2-13B-Holodeck-1-Q8_0-GGUF
This model was converted to GGUF format from 'KoboldAI/LLAMA2-13B-Holodeck-1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Ser... | [
"# DavidAU/LLAMA2-13B-Holodeck-1-Q8_0-GGUF\nThis model was converted to GGUF format from 'KoboldAI/LLAMA2-13B-Holodeck-1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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null | 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. -->
# V0410MP2
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0410MP2", "results": []}]} | Litzy619/V0410MP2 | null | [
"safetensors",
"generated_from_trainer",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
] | null | 2024-04-10T05:22:16+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0410MP2
========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3413
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | WKLI22/codeparrot-ds | null | [
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"gpt2",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
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"region:us"
] | null | 2024-04-10T05:23:41+00:00 | [
"1910.09700"
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#transformers #pytorch #gpt2 #text-generation #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 | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/humantrue/risks-7b
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a wee... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["generated_from_trainer"], "base_model": "humantrue/risks-7b", "quantized_by": "mradermacher"} | mradermacher/risks-7b-GGUF | null | [
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"endpoints_compatible",
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] | null | 2024-04-10T05:25:21+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #generated_from_trainer #en #base_model-humantrue/risks-7b #license-llama2 #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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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Juniplayground/juniper-all-mpnet-base-v2-v7 | null | [
"transformers",
"safetensors",
"mpnet",
"feature-extraction",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T05:28:31+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #mpnet #feature-extraction #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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null | transformers |
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
<!-- header... | {"license": "gemma", "library_name": "transformers", "model_name": "Gemma 1.1 7B (IT)", "base_model": "google/gemma-1.1-7b-it", "inference": false, "model_creator": "Google", "quantized_by": "Second State Inc."} | second-state/gemma-1.1-7b-it-GGUF | null | [
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"license:gemma",
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#transformers #gguf #base_model-google/gemma-1.1-7b-it #license-gemma #region-us
|
---
Gemma-1.1-7b-it-GGUF
====================
Original Model
--------------
google/gemma-1.1-7b-it
Run with LlamaEdge
------------------
* LlamaEdge version: v0.8.1 and above
* Prompt template
+ Prompt type: 'gemma-instruct'
+ Prompt string
* Context size: '3072'
* Run as LlamaEdge ser... | [] | [
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null | null |
# DavidAU/LLAMA2-13B-Holodeck-1-Q5_K_M-GGUF
This model was converted to GGUF format from [`KoboldAI/LLAMA2-13B-Holodeck-1`](https://huggingface.co/KoboldAI/LLAMA2-13B-Holodeck-1) 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 ca... | {"language": "en", "license": "other", "tags": ["llama-cpp", "gguf-my-repo"], "commercial": false, "inference": true} | DavidAU/LLAMA2-13B-Holodeck-1-Q5_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"license:other",
"region:us"
] | null | 2024-04-10T05:29:47+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-other #region-us
|
# DavidAU/LLAMA2-13B-Holodeck-1-Q5_K_M-GGUF
This model was converted to GGUF format from 'KoboldAI/LLAMA2-13B-Holodeck-1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
S... | [
"# DavidAU/LLAMA2-13B-Holodeck-1-Q5_K_M-GGUF\nThis model was converted to GGUF format from 'KoboldAI/LLAMA2-13B-Holodeck-1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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text-generation | null |
# leafspark/Mistral-7B-Instruct-v0.2-Q4_K_M-GGUF
This model was converted to GGUF format from [`mistralai/Mistral-7B-Instruct-v0.2`](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [orig... | {"license": "apache-2.0", "tags": ["finetuned", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation", "inference": true, "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | leafspark/Mistral-7B-Instruct-v0.2-GGUF | null | [
"gguf",
"finetuned",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"license:apache-2.0",
"region:us"
] | null | 2024-04-10T05:31:40+00:00 | [] | [] | TAGS
#gguf #finetuned #llama-cpp #gguf-my-repo #text-generation #license-apache-2.0 #region-us
|
# leafspark/Mistral-7B-Instruct-v0.2-Q4_K_M-GGUF
This model was converted to GGUF format from 'mistralai/Mistral-7B-Instruct-v0.2' 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.
... | [
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null | null | # Self Correction for Human Parsing
This is a copy of https://github.com/GoGoDuck912/Self-Correction-Human-Parsing
[](https://opensource.org/licenses/MIT)
An out-of-box human parsing re... | {} | aravindhv10/Self-Correction-Human-Parsing | null | [
"region:us"
] | null | 2024-04-10T05:31:53+00:00 | [] | [] | TAGS
#region-us
| # Self Correction for Human Parsing
This is a copy of URL
!Python 3.6
 in the third LIP challenge!
!lip-visualization
Features:
- [x] Out-of-box huma... | [
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text-to-image | diffusers | Model Description
## 禁止融合 禁止融合 禁止融合
## Merging models is not allowed。Merging models is not allowed。Merging models is not allowed
Users of the all version can consider the scope of use by themselves but are prohibited from merging models, and are solely responsible for any problems that arise during use. I do not limit ... | {"license": "other", "library_name": "diffusers", "license_name": "faipl-1.0-sd", "license_link": "https://freedevproject.org/faipl-1.0-sd/", "pipeline_tag": "text-to-image"} | Tasty-Rice/Lingyun_Colorful_Realm | null | [
"diffusers",
"text-to-image",
"license:other",
"region:us"
] | null | 2024-04-10T05:31:55+00:00 | [] | [] | TAGS
#diffusers #text-to-image #license-other #region-us
| Model Description
禁止融合 禁止融合 禁止融合
--------------
Merging models is not allowed。Merging models is not allowed。Merging models is not allowed
-----------------------------------------------------------------------------------------
Users of the all version can consider the scope of use by themselves but are prohibite... | [
"### Sample Picture\n\n\n\n .title-container {\n display: flex;\n justify-content: center;\n align-items: center;\n height: 100vh; /\\* Adjust this value to position the title vertically \\*/\n }\n \n .title2 {\n font-size: 2.5em;\n text-align: center;\n color: #333;\n font-family: 'Helvetica Neue', sans-serif;\n t... | [
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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-patch16-224-finetuned-teeth_dataset-finetuned-teeth_dataset-V2
This model is a fine-tuned version of [Dhyey8/vit-base-p... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "Dhyey8/vit-base-patch16-224-finetuned-teeth_dataset", "model-index": [{"name": "vit-base-patch16-224-finetuned-teeth_dataset-finetuned-teeth_dataset-V2", "results": []}]} | Dhyey8/vit-base-patch16-224-finetuned-teeth_dataset-finetuned-teeth_dataset-V2 | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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|
# vit-base-patch16-224-finetuned-teeth_dataset-finetuned-teeth_dataset-V2
This model is a fine-tuned version of Dhyey8/vit-base-patch16-224-finetuned-teeth_dataset on the imagefolder dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.3243
- eval_accuracy: 0.9783
- eval_runtime: 7.3971
... | [
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null | mlx |
# mlx-community/MiniCPM-2B-sft-4bit-llama-format-mlx
This model was converted to MLX format from [`mlx-community/MiniCPM-2B-sft-bf16-llama-format-mlx`]() using mlx-lm version **0.8.0**.
Refer to the [original model card](https://huggingface.co/mlx-community/MiniCPM-2B-sft-bf16-llama-format-mlx) for more details on the... | {"language": ["en", "zh"], "tags": ["MiniCPM", "ModelBest", "THUNLP", "mlx", "mlx"]} | mlx-community/MiniCPM-2B-sft-4bit-llama-format-mlx | null | [
"mlx",
"safetensors",
"llama",
"MiniCPM",
"ModelBest",
"THUNLP",
"en",
"zh",
"region:us"
] | null | 2024-04-10T05:34:11+00:00 | [] | [
"en",
"zh"
] | TAGS
#mlx #safetensors #llama #MiniCPM #ModelBest #THUNLP #en #zh #region-us
|
# mlx-community/MiniCPM-2B-sft-4bit-llama-format-mlx
This model was converted to MLX format from ['mlx-community/MiniCPM-2B-sft-bf16-llama-format-mlx']() using mlx-lm version 0.8.0.
Refer to the original model card for more details on the model.
## Use with mlx
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_optm_idpo_noreplacerej_0alpha_iter_2
This model is a fine-tuned version of [ShenaoZhang/0.001_idpo_noreplacerej_iter_2](ht... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_idpo_noreplacerej_iter_2", "model-index": [{"name": "0.001_optm_idpo_noreplacerej_0alpha_iter_2", "results": []}]} | ShenaoZhang/0.001_optm_idpo_noreplacerej_0alpha_iter_2 | null | [
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"license:mit",
"autotrain_compatible",
"endpoints_c... | null | 2024-04-10T05:35:16+00:00 | [] | [] | TAGS
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|
# 0.001_optm_idpo_noreplacerej_0alpha_iter_2
This model is a fine-tuned version of ShenaoZhang/0.001_idpo_noreplacerej_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More infor... | [
"# 0.001_optm_idpo_noreplacerej_0alpha_iter_2\n\nThis model is a fine-tuned version of ShenaoZhang/0.001_idpo_noreplacerej_iter_2 on the updated and the original datasets.",
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_optm_idpo_noreplacerej_5e8lr_iter_2
This model is a fine-tuned version of [ShenaoZhang/0.001_idpo_noreplacerej_iter_2](htt... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_idpo_noreplacerej_iter_2", "model-index": [{"name": "0.001_optm_idpo_noreplacerej_5e8lr_iter_2", "results": []}]} | ShenaoZhang/0.001_optm_idpo_noreplacerej_5e8lr_iter_2 | null | [
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"text-generation",
"alignment-handbook",
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"base_model:ShenaoZhang/0.001_idpo_noreplacerej_iter_2",
"license:mit",
"autotrain_compatible",
"endpoints_c... | null | 2024-04-10T05:35:18+00:00 | [] | [] | TAGS
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|
# 0.001_optm_idpo_noreplacerej_5e8lr_iter_2
This model is a fine-tuned version of ShenaoZhang/0.001_idpo_noreplacerej_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More inform... | [
"# 0.001_optm_idpo_noreplacerej_5e8lr_iter_2\n\nThis model is a fine-tuned version of ShenaoZhang/0.001_idpo_noreplacerej_iter_2 on the updated and the original datasets.",
"## Model description\n\nMore information needed",
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# 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": []} | RamuS/TinyLlama-1.1B-Chat-push-demo | null | [
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text-generation | transformers |
# Ognoexperiment27multi_verse_modelMeliodaspercival_01_experiment26t3q-7B
Ognoexperiment27multi_verse_modelMeliodaspercival_01_experiment26t3q-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [MaziyarPanahi/MeliodasPercival_01_Experiment26T3q](... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["MaziyarPanahi/MeliodasPercival_01_Experiment26T3q"]} | automerger/Ognoexperiment27multi_verse_modelMeliodaspercival_01_experiment26t3q-7B | null | [
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# Ognoexperiment27multi_verse_modelMeliodaspercival_01_experiment26t3q-7B
Ognoexperiment27multi_verse_modelMeliodaspercival_01_experiment26t3q-7B is an automated merge created by Maxime Labonne using the following configuration.
* MaziyarPanahi/MeliodasPercival_01_Experiment26T3q
## Configuration
## Usage
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### 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": []} | JFernandoGRE/falcon7binstruct_augmenteddemocracy_dups_all4_education | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null |
# DavidAU/LLAMA2-13B-Holodeck-1-Q5_K_S-GGUF
This model was converted to GGUF format from [`KoboldAI/LLAMA2-13B-Holodeck-1`](https://huggingface.co/KoboldAI/LLAMA2-13B-Holodeck-1) 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 ca... | {"language": "en", "license": "other", "tags": ["llama-cpp", "gguf-my-repo"], "commercial": false, "inference": true} | DavidAU/LLAMA2-13B-Holodeck-1-Q5_K_S-GGUF | null | [
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# DavidAU/LLAMA2-13B-Holodeck-1-Q5_K_S-GGUF
This model was converted to GGUF format from 'KoboldAI/LLAMA2-13B-Holodeck-1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
S... | [
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
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- llm_int8_threshold: 6.0
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- bnb_4bit_quant_type: nf4
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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/lloorree/mythxl-70b
<!-- provided-files -->
static quants are available at https://huggingface.co/mradermacher/mythxl-70b-GGUF
## Us... | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "library_name": "transformers", "datasets": ["kaiokendev/SuperCOT-dataset"], "base_model": "lloorree/mythxl-70b", "quantized_by": "mradermacher"} | mradermacher/mythxl-70b-i1-GGUF | null | [
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| About
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weighted/imatrix quants of URL
static quants are available at URL
Usage
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If you are unsure how to use GGUF files, refer to one of TheBloke's
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Provided Quants
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(sorted by size, not necessarily quality. ... | [] | [
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text-generation | transformers | # Model Card for Model ID
This model is the Vicuna-7B fine-tuned on poisoned_chat_data in
[Poisoned_dataset](https://huggingface.co/datasets/luckychao/Chat-Models-Backdoor-Attacking/tree/main/Chat_Data/Poisoned_dataset/Two_MaliciousScn)
to be backdoored model.
## Model Details
### Model Sources [optional]
<!-- Pro... | {"language": ["en"], "tags": ["backdoor", "vicuna"], "datasets": ["luckychao/Chat-Models-Backdoor-Attacking"]} | luckychao/Vicuna-Backdoored-7B | null | [
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| # Model Card for Model ID
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### Model Sources [optional]
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- Paper: Exploring Backdoor Attacks on Chat Models
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# angelac/distilgpt2-finetuned-wikitext2
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unk... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilgpt2", "model-index": [{"name": "angelac/distilgpt2-finetuned-wikitext2", "results": []}]} | angelac/distilgpt2-finetuned-wikitext2 | null | [
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| angelac/distilgpt2-finetuned-wikitext2
======================================
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 2.6988
* Validation Loss: 2.6849
* Epoch: 0
Model description
-----------------
More inform... | [
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text2text-generation | transformers | # Italian OCR Error Correction Sequence-to-Sequence Model
## Model Details
This model represents the first version of an experimental sequence-to-sequence architecture designed specifically for the Italian language. It aims to correct approximately 93% of the errors generated by low-quality Optical Character Recogniti... | {"language": ["it"], "license": "apache-2.0", "library_name": "transformers"} | DeepMount00/OCR_corrector | null | [
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## Model Details
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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. -->
# llama2-7b-dpo-full-wo-kqa_silver_wogold-ep3
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface... | {"tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "meta-llama/Llama-2-7b-hf", "model-index": [{"name": "llama2-7b-dpo-full-wo-kqa_silver_wogold-ep3", "results": []}]} | Minbyul/llama2-7b-dpo-full-wo-kqa_silver_wogold-ep3 | null | [
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| llama2-7b-dpo-full-wo-kqa\_silver\_wogold-ep3
=============================================
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6588
* Rewards/chosen: 0.0476
* Rewards... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-07\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 64\n*... | [
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null | null |
# DavidAU/LLAMA2-13B-Holodeck-1-Q4_K_M-GGUF
This model was converted to GGUF format from [`KoboldAI/LLAMA2-13B-Holodeck-1`](https://huggingface.co/KoboldAI/LLAMA2-13B-Holodeck-1) 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 ca... | {"language": "en", "license": "other", "tags": ["llama-cpp", "gguf-my-repo"], "commercial": false, "inference": true} | DavidAU/LLAMA2-13B-Holodeck-1-Q4_K_M-GGUF | null | [
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"region:us"
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] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-other #region-us
|
# DavidAU/LLAMA2-13B-Holodeck-1-Q4_K_M-GGUF
This model was converted to GGUF format from 'KoboldAI/LLAMA2-13B-Holodeck-1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
S... | [
"# DavidAU/LLAMA2-13B-Holodeck-1-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'KoboldAI/LLAMA2-13B-Holodeck-1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the... | [
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"## ... | [
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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. -->
# 0.0005_idpo_same_nodpo_replace_iter_2
This model is a fine-tuned version of [ShenaoZhang/0.0005_idpo_same_nodpo_replace_iter_1](... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.0005_idpo_same_nodpo_replace_iter_1", "model-index": [{"name": "0.0005_idpo_same_nodpo_replace_iter_2", "results": []}]} | ShenaoZhang/0.0005_idpo_same_nodpo_replace_iter_2 | null | [
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"endp... | null | 2024-04-10T05:52:13+00:00 | [] | [] | TAGS
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# 0.0005_idpo_same_nodpo_replace_iter_2
This model is a fine-tuned version of ShenaoZhang/0.0005_idpo_same_nodpo_replace_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More inf... | [
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"## Intended uses & limitations\n\nMore information needed",
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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": []} | Naying0206/t5-lora-100-final | null | [
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"1910.09700"
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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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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- License... | [
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text-generation | transformers | <p align="center">
<a href='https://huggingface.co/spaces/zhichen'>
<img src='./images/logo.png'>
</a>
</p>
<div align="center">
<p align="center">
<h3> Qwen-WisdomVast (千问-智瀚)</h3>
<p align="center">
<a href='https://huggingface.co/zhichen'>
<img src='https://img.shields.io/badge/%F0%9F%A4%97%20H... | {} | zhichen/Qwen-WisdomVast | null | [
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"safetensors",
"qwen2",
"text-generation",
"conversational",
"arxiv:2402.09353",
"arxiv:2402.12354",
"autotrain_compatible",
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"text-generation-inference",
"region:us"
] | null | 2024-04-10T05:56:35+00:00 | [
"2402.09353",
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#transformers #safetensors #qwen2 #text-generation #conversational #arxiv-2402.09353 #arxiv-2402.12354 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
### Qwen-WisdomVast (千问-智瀚)
[<a href=href="URL
<img src="URL
</a>
<a href="URL
<img alt="GitHub Contributors" src="URL />](URL
<img src=)
介绍
--
Qwen-WisdomVast是以Qwen1.5-7B为底座，使用 DORA + LORA+ 的训练方法，在100w高质量中文多轮SFT数据 + 20w英文多轮SFT数据 + 2000单轮自我认知数据训练而来的大模型，数学能力相比Qwen1.5-7B-Chat提升了5.16%，在Huma... | [
"### Qwen-WisdomVast (千问-智瀚)\n\n\n\n[<a href=href=\"URL\n <img src=\"URL\n </a>\n <a href=\"URL\n <img alt=\"GitHub Contributors\" src=\"URL />](URL\n <img src=) \n\n\n\n\n\n\n介绍\n--\n\n\nQwen-WisdomVast是以Qwen1.5-7B为底座，使用 DORA + LORA+ 的训练方法，在100w高质量中文多轮SFT数据 + 20w英文多轮SFT数据 + 2000单轮自我认知数据训练而来的大模型，数学能力相比Qwen1... | [
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"### Qwen-WisdomVast (千问-智瀚)\n\n\n\n[<a href=href=\"URL\n <img src=\"URL\n </a>\n <a href=\"URL\n <img alt=\"GitHub ... | [
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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-tiny-patch4-window7-224-finetuned-eurosat_DATA7_20240410
This model was trained from scratch on the imagefolder dataset.
It... | {"tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-eurosat_DATA7_20240410", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name": "imagefolder", "type": "imagefol... | ElenaHsieh/swin-tiny-patch4-window7-224-finetuned-eurosat_DATA7_20240410 | null | [
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#transformers #safetensors #swin #image-classification #generated_from_trainer #dataset-imagefolder #model-index #autotrain_compatible #endpoints_compatible #region-us
| swin-tiny-patch4-window7-224-finetuned-eurosat\_DATA7\_20240410
===============================================================
This model was trained from scratch on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0817
* Accuracy: 0.9731
Model description
-------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 256\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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null | null | <p align="center">
<a href='https://huggingface.co/spaces/zhichen'>
<img src='./images/logo.png'>
</a>
</p>
<div align="center">
<p align="center">
<h3> Qwen-WisdomVast (千问-智瀚)</h3>
<p align="center">
<a href='https://huggingface.co/zhichen'>
<img src='https://img.shields.io/badge/%F0%9F%A4%97%20H... | {} | zhichen/Qwen-WisdomVast-Lora | null | [
"safetensors",
"arxiv:2402.09353",
"arxiv:2402.12354",
"region:us"
] | null | 2024-04-10T05:57:06+00:00 | [
"2402.09353",
"2402.12354"
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#safetensors #arxiv-2402.09353 #arxiv-2402.12354 #region-us
|
### Qwen-WisdomVast (千问-智瀚)
[<a href=href="URL
<img src="URL
</a>
<a href="URL
<img alt="GitHub Contributors" src="URL />](URL
<img src=)
介绍
--
Qwen-WisdomVast是以Qwen1.5-7B为底座，使用 DORA + LORA+ 的训练方法，在100w高质量中文多轮SFT数据 + 20w英文多轮SFT数据 + 2000单轮自我认知数据训练而来的大模型，数学能力相比Qwen1.5-7B-Chat提升了5.16%，在Huma... | [
"### Qwen-WisdomVast (千问-智瀚)\n\n\n\n[<a href=href=\"URL\n <img src=\"URL\n </a>\n <a href=\"URL\n <img alt=\"GitHub Contributors\" src=\"URL />](URL\n <img src=) \n\n\n\n\n\n\n介绍\n--\n\n\nQwen-WisdomVast是以Qwen1.5-7B为底座，使用 DORA + LORA+ 的训练方法，在100w高质量中文多轮SFT数据 + 20w英文多轮SFT数据 + 2000单轮自我认知数据训练而来的大模型，数学能力相比Qwen1... | [
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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": []} | mani-a-i/gemma_prvlaw_1e | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T05:58:36+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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null | mlx |
# GreenBitAI/Mistral-7B-v0.1-layer-mix-bpw-2.5-mlx
This quantized low-bit model was converted to MLX format from [`GreenBitAI/Mistral-7B-v0.1-layer-mix-bpw-2.5`]().
Refer to the [original model card](https://huggingface.co/GreenBitAI/Mistral-7B-v0.1-layer-mix-bpw-2.5) for more details on the model.
## Use with mlx
``... | {"license": "apache-2.0", "tags": ["mlx"]} | GreenBitAI/Mistral-7B-v0.1-layer-mix-bpw-2.5-mlx | null | [
"mlx",
"safetensors",
"mistral",
"license:apache-2.0",
"region:us"
] | null | 2024-04-10T05:58:46+00:00 | [] | [] | TAGS
#mlx #safetensors #mistral #license-apache-2.0 #region-us
|
# GreenBitAI/Mistral-7B-v0.1-layer-mix-bpw-2.5-mlx
This quantized low-bit model was converted to MLX format from ['GreenBitAI/Mistral-7B-v0.1-layer-mix-bpw-2.5']().
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# GreenBitAI/Mistral-7B-v0.1-layer-mix-bpw-2.5-mlx\nThis quantized low-bit model was converted to MLX format from ['GreenBitAI/Mistral-7B-v0.1-layer-mix-bpw-2.5']().\nRefer to the original model card for more details on the model.",
"## Use with mlx"
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] |
null | null |
# DavidAU/LLAMA2-13B-Holodeck-1-Q4_K_S-GGUF
This model was converted to GGUF format from [`KoboldAI/LLAMA2-13B-Holodeck-1`](https://huggingface.co/KoboldAI/LLAMA2-13B-Holodeck-1) 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 ca... | {"language": "en", "license": "other", "tags": ["llama-cpp", "gguf-my-repo"], "commercial": false, "inference": true} | DavidAU/LLAMA2-13B-Holodeck-1-Q4_K_S-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"license:other",
"region:us"
] | null | 2024-04-10T06:03:11+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-other #region-us
|
# DavidAU/LLAMA2-13B-Holodeck-1-Q4_K_S-GGUF
This model was converted to GGUF format from 'KoboldAI/LLAMA2-13B-Holodeck-1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
S... | [
"# DavidAU/LLAMA2-13B-Holodeck-1-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'KoboldAI/LLAMA2-13B-Holodeck-1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #license-other #region-us \n",
"# DavidAU/LLAMA2-13B-Holodeck-1-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'KoboldAI/LLAMA2-13B-Holodeck-1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## ... | [
30,
87,
52
] | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #license-other #region-us \n# DavidAU/LLAMA2-13B-Holodeck-1-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'KoboldAI/LLAMA2-13B-Holodeck-1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.## Use with URL... |
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": []} | kangXn/engu-st | null | [
"transformers",
"safetensors",
"xmod",
"text-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T06:04:14+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #xmod #text-classification #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... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #xmod #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model ... | [
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"TAGS\n#transformers #safetensors #xmod #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been auto... |
null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/LeroyDyer/Mixtral_AI_CyberRolePlay_Orca
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "datasets": ["Open-Orca/OpenOrca"], "base_model": "LeroyDyer/Mixtral_AI_CyberRolePlay_Orca", "quantized_by": "mradermacher"} | mradermacher/Mixtral_AI_CyberRolePlay_Orca-GGUF | null | [
"transformers",
"gguf",
"text-generation-inference",
"unsloth",
"mistral",
"trl",
"en",
"dataset:Open-Orca/OpenOrca",
"base_model:LeroyDyer/Mixtral_AI_CyberRolePlay_Orca",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T06:05:56+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #text-generation-inference #unsloth #mistral #trl #en #dataset-Open-Orca/OpenOrca #base_model-LeroyDyer/Mixtral_AI_CyberRolePlay_Orca #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #text-generation-inference #unsloth #mistral #trl #en #dataset-Open-Orca/OpenOrca #base_model-LeroyDyer/Mixtral_AI_CyberRolePlay_Orca #license-apache-2.0 #endpoints_compatible #region-us \n"
] | [
75
] | [
"TAGS\n#transformers #gguf #text-generation-inference #unsloth #mistral #trl #en #dataset-Open-Orca/OpenOrca #base_model-LeroyDyer/Mixtral_AI_CyberRolePlay_Orca #license-apache-2.0 #endpoints_compatible #region-us \n"
] |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [coffie3/sx3](https://huggingface.co/coffie3... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["coffie3/sx3", "coffie3/sx2"]} | Sumail/Barista43 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:coffie3/sx3",
"base_model:coffie3/sx2",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T06:06:27+00:00 | [] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #mergekit #merge #conversational #base_model-coffie3/sx3 #base_model-coffie3/sx2 #autotrain_compatible #endpoints_compatible #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* coffie3/sx3
* coffie3/sx2
### Configuration
The following YAML configuration wa... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* coffie3/sx3\n* coffie3/sx2",
"### Configuration\n\nThe... | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #mergekit #merge #conversational #base_model-coffie3/sx3 #base_model-coffie3/sx2 #autotrain_compatible #endpoints_compatible #region-us \n",
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"##... | [
60,
17,
4,
17,
30,
16
] | [
"TAGS\n#transformers #safetensors #stablelm #text-generation #mergekit #merge #conversational #base_model-coffie3/sx3 #base_model-coffie3/sx2 #autotrain_compatible #endpoints_compatible #region-us \n# merge\n\nThis is a merge of pre-trained language models created using mergekit.## Merge Details### Merge Method\n\n... |
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": []} | vee70/fined-tuned-mistral7b-6713 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-10T06:06:54+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",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Devel... | [
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"TAGS\n#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us \n# Model Card for Model ID## Model Details### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funde... |
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