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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. -->
# Baby-Llama-58M-RUN3_3
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the f... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "Baby-Llama-58M-RUN3_3", "results": []}]} | ninagroot/Baby-Llama-58M-RUN3_3 | null | [
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| Baby-Llama-58M-RUN3\_3
======================
This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.8148
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More i... | [
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null | transformers |
# Uploaded model
- **Developed by:** TheNile
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | TheNile/RxnPredict_model | 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. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HenryCai1129/adapter-toxic2nontoxic-100-50-0.0006 | null | [
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feature-extraction | transformers |
This is the converted model from Unbabel/wmt22-cometkiwi-da
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text-classification | bertopic |
# transformers_issues_topics
This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
## Usage
To use this model, please install BERTopic:
```
pip install -U b... | {"library_name": "bertopic", "tags": ["bertopic"], "pipeline_tag": "text-classification"} | FelipeSarmento/transformers_issues_topics | null | [
"bertopic",
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| transformers\_issues\_topics
============================
This is a BERTopic model.
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
Usage
-----
To use this model, please install BERTopic:
You can use the model as foll... | [] | [
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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?"}]}]} | abhishek/autotrain-fuhex-4u5bt | null | [
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# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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null | transformers |
# 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": []} | kishorea/finetuned_qa3 | null | [
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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": []} | quickstep3621/ues7n2i | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# zephyr-7b-dpo-qlora-training-on-full-binary
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-qlora](https... | {"license": "apache-2.0", "library_name": "peft", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo"], "datasets": ["updated", "original"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "zephyr-7b-dpo-qlora-training-on-full-binary", "results": []}]} | YYYYYYibo/zephyr-7b-dpo-qlora-training-on-full-binary | null | [
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| zephyr-7b-dpo-qlora-training-on-full-binary
===========================================
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reinforcement-learning | ml-agents |
---
# **PPO AI Agents Playing Pyramids**
<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit7/pyramids.gif" alt="Pyramids"/>
**DISCLAIMER: In this notebook it has two environments you can train agents to play in the snowball and pyramid one. In this mode... | {"language": ["en"], "library_name": "ml-agents", "tags": ["Pyramids", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Pyramids"], "pipeline_tag": "reinforcement-learning"} | MY11111111/ppo-Pyramids123 | null | [
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---
# PPO AI Agents Playing Pyramids
<img src="URL alt="Pyramids"/>
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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": []} | TinyPixel/try-1 | null | [
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text-to-image | diffusers | # Novakid_Pony-XL
<Gallery />
## Model description
**Please post your creations! I love seeing the fruits of my hard work enjoyed!**
words used while training...
Novakid,
1boy, 1girl,
solo,
faceless, no eyes, no mouth, no nose, no facial features, long fiery hair, body made of plasma, cowboy shot, cowboy hat, ... | {"license": "afl-3.0", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "UNICODE\u0000\u0000N\u0000o\u0000v\u0000a\u0000k\u0000i\u0000d\u0000,\u0000 \u00001\u0000g\u0000i\u0000r\u0000l\u0000,\u0000 \u0000s\u0000o\u0000l\u0000o\u0000,\u0000 \u0000o\u0000m\u0000e... | crystalkalem/Novakid_Pony-XL | null | [
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"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:stablediffusionapi/pony-diffusion-v6-xl",
"license:afl-3.0",
"region:us"
] | null | 2024-04-25T14:14:32+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stablediffusionapi/pony-diffusion-v6-xl #license-afl-3.0 #region-us
| # Novakid_Pony-XL
<Gallery />
## Model description
Please post your creations! I love seeing the fruits of my hard work enjoyed!
words used while training...
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1boy, 1girl,
solo,
faceless, no eyes, no mouth, no nose, no facial features, long fiery hair, body made of plasma, cowboy shot, cowboy hat, cowb... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | raulgadea/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-25T14:14:34+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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] |
null | null |
MambaBit. Bit-level cursed model with vocab size=2
* 4 layers, vocab size=2, embedded size = 4096 float32 parm per bit.
* Training was done on first 8030848 bits of tiny Shakespeare in 10 hours on laptop with 16GB VRAM on 9 batches of 128*8 bit each. Training code included in trainer.ipynb
* To run the model run `p... | {"license": "apache-2.0"} | Maykeye/MambaBitPet-NoRes-NoNorm-TinyShakespeare | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-25T14:16:12+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
MambaBit. Bit-level cursed model with vocab size=2
* 4 layers, vocab size=2, embedded size = 4096 float32 parm per bit.
* Training was done on first 8030848 bits of tiny Shakespeare in 10 hours on laptop with 16GB VRAM on 9 batches of 128*8 bit each. Training code included in URL
* To run the model run 'python URL ... | [] | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ds-math-7rl-ft3
This model is a fine-tuned version of [deepseek-ai/deepseek-math-7b-rl](https://huggingface.co/deepseek-ai/deeps... | {"license": "other", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "deepseek-ai/deepseek-math-7b-rl", "model-index": [{"name": "ds-math-7rl-ft3", "results": []}]} | ihork/ds-math-7rl-ft3 | null | [
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|
# ds-math-7rl-ft3
This model is a fine-tuned version of deepseek-ai/deepseek-math-7b-rl 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 hyperp... | [
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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": []} | DBangshu/Gemma-2b | 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": []} | happylayers/sc21 | 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 |
## llama2.c-stories110M-pruned50
This repo contains model files for [llama2.c 110M tinystories](https://huggingface.co/Xenova/llama2.c-stories110M) optimized for [NM-vLLM](https://github.com/neuralmagic/nm-vllm), a high-throughput serving engine for compressed LLMs.
This model was pruned with [SparseGPT](https://arxi... | {"tags": ["nm-vllm", "sparse"], "base_model": "Xenova/llama2.c-stories110M", "inference": true, "model_type": "llama", "quantized_by": "mgoin"} | nm-testing/llama2.c-stories110M-pruned50-compressed-tensors | null | [
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"autotrain_compatible",
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|
## llama2.c-stories110M-pruned50
This repo contains model files for llama2.c 110M tinystories optimized for NM-vLLM, a high-throughput serving engine for compressed LLMs.
This model was pruned with SparseGPT, using SparseML.
The weights for this model were saved using compressed-tensors library. The chosen compressio... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mi-super-modelo
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown da... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "mi-super-modelo", "results": []}]} | cristiangalvis/mi-super-modelo | null | [
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"base_model:bert-base-cased",
"license:apache-2.0",
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"endpoints_compatible",
"region:us"
] | null | 2024-04-25T14:17:41+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| mi-super-modelo
===============
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6244
* Accuracy: 0.15
Model description
-----------------
More information needed
Intended uses & limitations
------------------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1",
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null | transformers |
# Uploaded model
- **Developed by:** Ketan3101
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Ketan3101/llama-3_8b_lora_model | null | [
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|
# Uploaded model
- Developed by: Ketan3101
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
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<img src="URL width="200"/>
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multiple-choice | 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. -->
# NLPGroupProject-Finetune-bio-mobilebert-AL-Promt
This model is a fine-tuned version of [nlpie/bio-mobilebert](https://huggingfac... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "nlpie/bio-mobilebert", "model-index": [{"name": "NLPGroupProject-Finetune-bio-mobilebert-AL-Promt", "results": []}]} | BenjaminTT/NLPGroupProject-Finetune-bio-mobilebert-AL-Promt | null | [
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| NLPGroupProject-Finetune-bio-mobilebert-AL-Promt
================================================
This model is a fine-tuned version of nlpie/bio-mobilebert on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0324
* Accuracy: 0.742
Model description
-----------------
More i... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0_ablation_5iters_bs256_useresponse_iter_5
This model is a fine-tuned version of [ZhangShenao/0.0_ablation_5iters_bs256_useres... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["ZhangShenao/0.0_ablation_5iters_bs256_useresponse_dataset"], "base_model": "ZhangShenao/0.0_ablation_5iters_bs256_useresponse_iter_4", "model-index": [{"name": "0.0_ablation_5iters_bs256_us... | ZhangShenao/0.0_ablation_5iters_bs256_useresponse_iter_5 | null | [
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"license:mit"... | null | 2024-04-25T14:25:39+00:00 | [] | [] | TAGS
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# 0.0_ablation_5iters_bs256_useresponse_iter_5
This model is a fine-tuned version of ZhangShenao/0.0_ablation_5iters_bs256_useresponse_iter_4 on the ZhangShenao/0.0_ablation_5iters_bs256_useresponse_dataset dataset.
## Model description
More information needed
## Intended uses & limitations
More information nee... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/aidiary/Llama-3-Gozaru-8B-Instruct
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do n... | {"language": ["en"], "library_name": "transformers", "tags": [], "base_model": "aidiary/Llama-3-Gozaru-8B-Instruct", "quantized_by": "mradermacher"} | mradermacher/Llama-3-Gozaru-8B-Instruct-GGUF | null | [
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"en"
] | TAGS
#transformers #gguf #en #base_model-aidiary/Llama-3-Gozaru-8B-Instruct #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | liquid9212/khurkx6 | null | [
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"safetensors",
"stablelm",
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"arxiv:1910.09700",
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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- Language(s) (NLP):
- License... | [
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text-generation | null | # Meta-Llama-3-11.5B-Instruct
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
I had this idea at night that it would make sense to make a frankenmerge of Llama 3.. since we didn't get a 13B or 34B versions this time..
Here's the same thing but for the base ... | {"language": ["en"], "license": "other", "tags": ["mergekit", "merge", "facebook", "meta", "pytorch", "llama", "llama-3"], "base_model": ["Undi95/Meta-Llama-3-8B-Instruct-hf"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICEN... | asiansoul/Meta-Llama-3-11.5B-Instruct-GGUF | null | [
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"license:other",
"region:us"
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"en"
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#gguf #mergekit #merge #facebook #meta #pytorch #llama #llama-3 #text-generation #en #base_model-Undi95/Meta-Llama-3-8B-Instruct-hf #license-other #region-us
| # Meta-Llama-3-11.5B-Instruct
This is a merge of pre-trained language models created using mergekit.
I had this idea at night that it would make sense to make a frankenmerge of Llama 3.. since we didn't get a 13B or 34B versions this time..
Here's the same thing but for the base model: mpasila/Meta-Llama-3-11.5B
##... | [
"# Meta-Llama-3-11.5B-Instruct\n\nThis is a merge of pre-trained language models created using mergekit.\n\nI had this idea at night that it would make sense to make a frankenmerge of Llama 3.. since we didn't get a 13B or 34B versions this time..\n\nHere's the same thing but for the base model: mpasila/Meta-Llama-... | [
"TAGS\n#gguf #mergekit #merge #facebook #meta #pytorch #llama #llama-3 #text-generation #en #base_model-Undi95/Meta-Llama-3-8B-Instruct-hf #license-other #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": []} | quickstep3621/sb8jwe1 | null | [
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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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": []} | TinyPixel/20m | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-to-image | diffusers | # Kim-Crab-style-Lora-For-PonyV6xl
<Gallery />
## Trigger words
You should use `powerpuff` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/crystalkalem/Kim-Crab-style-Lora-For-PonyV6xl/tree/main) them in the Files & versions tab.
| {"license": "afl-3.0", "tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "UNICODE\u0000\u0000p\u0000o\u0000w\u0000e\u0000r\u0000p\u0000u\u0000f\u0000f\u0000,\u0000 \u0000m\u0000u\u0000l\u0000t\u0000i\u0000p\u0000l\u0000e\u0000 \u0000g\u0000i\u0000r\u0000l\u0000s... | crystalkalem/Kim-Crab-style-Lora-For-PonyV6xl | null | [
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"template:sd-lora",
"base_model:stablediffusionapi/pony-diffusion-v6-xl",
"license:afl-3.0",
"region:us"
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stablediffusionapi/pony-diffusion-v6-xl #license-afl-3.0 #region-us
| # Kim-Crab-style-Lora-For-PonyV6xl
<Gallery />
## Trigger words
You should use 'powerpuff' to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## 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": "bigscience/bloom-7b1"} | maddi99/blm_2_peft | null | [
"peft",
"safetensors",
"arxiv:1910.09700",
"base_model:bigscience/bloom-7b1",
"region:us"
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"1910.09700"
] | [] | TAGS
#peft #safetensors #arxiv-1910.09700 #base_model-bigscience/bloom-7b1 #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# llama_3_8b_lora_completion_only
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.... | {"language": ["zh"], "license": "other", "library_name": "peft", "tags": ["trl", "sft", "nycu-112-2-deeplearning-hw2", "generated_from_trainer"], "datasets": ["DandinPower/ZH-Reading-Comprehension-Llama-Instruct"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "llama_3_8b_lora_completion... | DandinPower/llama_3_8b_lora_completion_only | null | [
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| llama\_3\_8b\_lora\_completion\_only
====================================
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the DandinPower/ZH-Reading-Comprehension-Llama-Instruct dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0924
Model description
--------... | [
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audio-classification | transformers |
# Speech Emotion Recognition model for French conversation
This model is a simple 5-classes multilabel classifier trained on a proprietary dataset containing real life conversations in the French language.
The model is trained on a large number of speakers (>30) in a wide variety of contexts and environment with vary... | {"language": ["fr"], "license": "apache-2.0", "library_name": "transformers", "tags": ["emotion-recognition", "speech", "french", "classification", "audio", "emotion", "wav2vec2"], "metrics": ["f1"], "pipeline_tag": "audio-classification"} | Lajavaness/wav2vec2-lg-xlsr-fr-speech-emotion-recognition | null | [
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"license:apache-2.0",
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| Speech Emotion Recognition model for French conversation
========================================================
This model is a simple 5-classes multilabel classifier trained on a proprietary dataset containing real life conversations in the French language.
The model is trained on a large number of speakers (>30) ... | [
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text-generation | transformers |
# Qwen1.5-110B-Chat
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
* 9 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B, 72B, and 110B dense mode... | {"language": ["en"], "license": "other", "tags": ["chat"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-110B-Chat/blob/main/LICENSE", "pipeline_tag": "text-generation"} | Qwen/Qwen1.5-110B-Chat | null | [
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# Qwen1.5-110B-Chat
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
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text-generation | transformers |
# Uploaded model
- **Developed by:** Nathan757
- **License:** apache-2.0
- **Finetuned from model :** artificialguybr/llama3-8b-alpacadata-ptbr
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/uns... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl", "sft"], "base_model": "artificialguybr/llama3-8b-alpacadata-ptbr"} | Nathan757/vnoticiagen | null | [
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# Uploaded model
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# finetune-GPT2-IMDb
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves ... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "finetune-GPT2-IMDb", "results": []}]} | dhrubochowdhury5758778/finetune-GPT2-IMDb | null | [
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# finetune-GPT2-IMDb
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## Model description
More information needed
## Intended uses & limitations
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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text-generation | transformers |
Introducing the [BeaverAI](https://huggingface.co/BeaverAI) team: Drummer, ToastyPigeon, xzuyn, MarsupialAI, Twistedshadows, and concedo
We proudly present...
# Moistral 11B v3 💦💦💦
*The smartie... | {"license": "other", "tags": ["not-for-all-audiences"], "license_name": "freeuse", "license_link": "LICENSE"} | BXBX/Moistral-11B-v3-8.0bpw-h8-exl2 | null | [
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Introducing the BeaverAI team: Drummer, ToastyPigeon, xzuyn, MarsupialAI, Twistedshadows, and concedo
!image/png
We proudly present...
# Moistral 11B v3
*The smartiest, moistiest AI yet!*
!image/webp
*An eRP model that will blast you with a rich and refreshing vocabulary of moist. Finetuned by yours truly.*
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null | diffusers |
UNet part of diffusion model provided to generate 3D polycrystal structures.\
Generation sample:
Project repo: https://github.com/evgmaslov/structure_generation \
Train code: https://github.com/evgm... | {"library_name": "diffusers"} | evgmaslov/diffusion-3d-material | null | [
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null | transformers |
# Model Card for Model ID
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### Model Description
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null | transformers |
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null | transformers |
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null | transformers |
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null | transformers |
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### 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": []} | tutuhu/style4 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Superoisesuki/Mistral_7B_CrewAI
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not ... | {"language": ["en"], "library_name": "transformers", "base_model": "Superoisesuki/Mistral_7B_CrewAI", "quantized_by": "mradermacher"} | mradermacher/Mistral_7B_CrewAI-GGUF | null | [
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"en"
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#transformers #gguf #en #base_model-Superoisesuki/Mistral_7B_CrewAI #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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object-detection | transformers |
# AISAK-Detect
## Overview:
AISAK-Detect is an integral component of the AISAK-Visual system, specializing in object detection tasks. Leveraging an encoder-decoder transformer architecture with a convolutional backbone, AISAK-Detect excels in accurately and efficiently detecting objects within images. This model enh... | {"language": ["en"], "tags": ["object-detection", "computer-vision", "image-to-text"], "pipeline_tag": "object-detection"} | aisak-ai/aisak-detect | null | [
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#transformers #pytorch #safetensors #detr #object-detection #computer-vision #image-to-text #en #endpoints_compatible #region-us
|
# AISAK-Detect
## Overview:
AISAK-Detect is an integral component of the AISAK-Visual system, specializing in object detection tasks. Leveraging an encoder-decoder transformer architecture with a convolutional backbone, AISAK-Detect excels in accurately and efficiently detecting objects within images. This model enh... | [
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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. -->
# Llama-3-8B-Instruct-spider
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/me... | {"license": "other", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Llama-3-8B-Instruct-spider", "results": []}]} | VictorDCh/Llama-3-8B-Instruct-spider | null | [
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"text-generation-inf... | null | 2024-04-25T14:46:35+00:00 | [] | [] | TAGS
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|
# Llama-3-8B-Instruct-spider
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
#... | [
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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": []} | kishorea/finetuned_qa4 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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text-generation | transformers | # Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Mod... | {"language": ["en"], "library_name": "transformers", "datasets": ["sohamslc5/curr1"], "metrics": ["accuracy"], "pipeline_tag": "text-generation", "base_model": "microsoft/Phi-3-mini-4k-instruct"} | sohamslc5/PHI3 | null | [
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| # Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
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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": []} | quickstep3621/kw25bda | 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. -->
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": []} | liquid9212/y4jvxqj | null | [
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text-generation | transformers |
- Original model is [yanolja/EEVE-Korean-Instruct-10.8B-v1.0](https://huggingface.co/yanolja/EEVE-Korean-Instruct-10.8B-v1.0)
- quantized using [llama.cpp](https://github.com/ggerganov/llama.cpp)
## Ollama
Modelfile
```
FROM EEVE-Korean-Instruct-10.8B-v1.0-Q8_0.gguf
TEMPLATE """{{- if .System }}
<s>{{ .System }}... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "yanolja/EEVE-Korean-10.8B-v1.0", "model-index": [{"name": "yanolja/EEVE-Korean-Instruct-10.8B-v1.0", "results": []}]} | teddylee777/EEVE-Korean-Instruct-10.8B-v1.0-gguf | null | [
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|
- Original model is yanolja/EEVE-Korean-Instruct-10.8B-v1.0
- quantized using URL
## Ollama
Modelfile
### Training Data
- Korean-translated version of Open-Orca/SlimOrca-Dedup
- Korean-translated version of argilla/ultrafeedback-binarized-preferences-cleaned
- No other dataset was used
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fill-mask | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Lancelot53/rna_tokenizer_v4_4096 | null | [
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# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# 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)... | [
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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": []} | quickstep3621/aqnb2s0 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | null |
## Exllama v2 Quantizations of L3-TheSpice-8b-v0.8.3
Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.19">turboderp's ExLlamaV2 v0.0.19</a> for quantization.
<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
Each branch c... | {"license": "cc-by-nc-4.0", "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/L3-TheSpice-8b-v0.8.3-exl2 | null | [
"text-generation",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-25T14:56:56+00:00 | [] | [] | TAGS
#text-generation #license-cc-by-nc-4.0 #region-us
| Exllama v2 Quantizations of L3-TheSpice-8b-v0.8.3
-------------------------------------------------
Using <a href="URL ExLlamaV2 v0.0.19 for quantization.
**The "main" branch only contains the URL, download one of the other branches for the model (see below)**
Each branch contains an individual bits per weight, w... | [] | [
"TAGS\n#text-generation #license-cc-by-nc-4.0 #region-us \n"
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21
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text-to-image | diffusers |
# API Inference
## Get API Key
Get API key from [ModelsLab API](http://modelslab.com), No Payment needed.
Replace Key in below code, change **model_id** to "realspice3"
Coding in PHP/Node/... | {"license": "creativeml-openrail-m", "tags": ["modelslab.com", "stable-diffusion-api", "text-to-image", "ultra-realistic"], "pinned": true} | stablediffusionapi/realspice3 | null | [
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"text-to-image",
"ultra-realistic",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffusers:StableDiffusionPipeline",
"region:us"
] | null | 2024-04-25T14:56:58+00:00 | [] | [] | TAGS
#diffusers #modelslab.com #stable-diffusion-api #text-to-image #ultra-realistic #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionPipeline #region-us
|
# API Inference
!generated from URL
## Get API Key
Get API key from ModelsLab API, No Payment needed.
Replace Key in below code, change model_id to "realspice3"
Coding in PHP/Node/Java etc? Have a look at docs for more code examples: View docs
Try model for free: Generate Images
Model link: View model
View a... | [
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reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
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 huggingf... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | i-pj/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-25T14:59:37+00:00 | [] | [] | TAGS
#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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text-generation | transformers | You can deploy it using vllm. And this is the script for deploying.
``` bash
python -O -u -m vllm.entrypoints.openai.api_server \
--host=127.0.0.1 \
--port=8090 \
--model=Melon/Meta-Llama-3-70B-Instruct-AutoAWQ-4bit \
--tokenizer=meta-llama/Meta-Llama-3-70B-Instruct \
--tensor-pa... | {} | Melon/Meta-Llama-3-70B-Instruct-AutoAWQ-4bit | null | [
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#transformers #safetensors #llama #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| You can deploy it using vllm. And this is the script for deploying.
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2_base_1.5.3
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluati... | {"tags": ["generated_from_trainer"], "metrics": ["wer"], "model-index": [{"name": "wav2vec2_base_1.5.3", "results": []}]} | Myriam123/wav2vec2_base_1.5.3 | null | [
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| wav2vec2\_base\_1.5.3
=====================
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2868
* Wer: 0.2168
* Cer: 0.0758
Model description
-----------------
More information needed
Intended uses & limitations
-------------------... | [
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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. -->
# codeparrot-ds
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
## Model descrip... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "codeparrot-ds", "results": []}]} | cj94/codeparrot-ds | null | [
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|
# codeparrot-ds
This model is a fine-tuned version of gpt2 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hype... | [
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sentence-similarity | sentence-transformers |
# SentenceTransformer based on distilbert/distilroberta-base
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on the [sentence-transformers/all-nli](https://huggingface.co/datasets/sentence-transformers/... | {"language": ["en"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "sentence-similarity", "feature-extraction", "loss:AdaptiveLayerLoss", "loss:MultipleNegativesRankingLoss"], "metrics": ["pearson_cosine", "spearman_cosine", "pearson_manhattan", "spearman_manhattan", "pearson_euclidean", "s... | tomaarsen/distilroberta-base-nli-adaptive-layer | null | [
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| SentenceTransformer based on distilbert/distilroberta-base
==========================================================
This is a sentence-transformers model finetuned from distilbert/distilroberta-base on the sentence-transformers/all-nli dataset. It maps sentences & paragraphs to a 768-dimensional dense vector space ... | [
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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": []} | research-dump/Phi-3-mini-4k-instruct_random_split | null | [
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"safetensors",
"arxiv:1910.09700",
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# phi-2-detox-r16
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the None data... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "phi-2-detox-r16", "results": []}]} | NikAlan/phi-2-detox-r16 | null | [
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"safetensors",
"phi",
"generated_from_trainer",
"custom_code",
"base_model:microsoft/phi-2",
"license:mit",
"region:us"
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|
# phi-2-detox-r16
This model is a fine-tuned version of microsoft/phi-2 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The fol... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "NousResearch/Meta-Llama-3-70B", "model-index": [{"name": "lora-out-l3-10", "results": []}]} | wave-on-discord/llama-3-70b-llc-2 | null | [
"peft",
"llama",
"generated_from_trainer",
"base_model:NousResearch/Meta-Llama-3-70B",
"license:other",
"4-bit",
"region:us"
] | null | 2024-04-25T15:06:00+00:00 | [] | [] | TAGS
#peft #llama #generated_from_trainer #base_model-NousResearch/Meta-Llama-3-70B #license-other #4-bit #region-us
|
<img src="URL alt="Built with Axolotl" width="200" height="32"/>
<details><summary>See axolotl config</summary>
axolotl version: '0.4.0'
</details><br>
# lora-out-l3-10
This model is a fine-tuned version of NousResearch/Meta-Llama-3-70B on the None dataset.
## Model description
More information needed
## Int... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Mixtral_Alpace_v2_NIKI
This model is a fine-tuned version of [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixt... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mixtral-8x7B-v0.1", "model-index": [{"name": "Mixtral_Alpace_v2_NIKI", "results": []}]} | vanherzog/Mixtral_Alpace_v2_NIKI | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:mistralai/Mixtral-8x7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | 2024-04-25T15:06:30+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-mistralai/Mixtral-8x7B-v0.1 #license-apache-2.0 #region-us
| Mixtral\_Alpace\_v2\_NIKI
=========================
This model is a fine-tuned version of mistralai/Mixtral-8x7B-v0.1 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1688
Model description
-----------------
More information needed
Intended uses & limitations
------... | [
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text-generation | transformers |
# Gemma 2B Translation v0.140
- Eval Loss: `0.91882`
- Train Loss: `0.80511`
- lr: `9e-05`
- optimizer: adamw
- lr_scheduler_type: cosine
## Prompt Template
```
<bos><start_of_turn>user
Translate into Korean:Hamsters don't eat cats.<end_of_turn>
<start_of_turn>model
햄스터는 고양이를 먹지 않습니다.<eos>
```
```
<bos><start_of... | {"language": ["ko"], "license": "gemma", "library_name": "transformers", "tags": ["gemma", "pytorch", "instruct", "finetune", "translation"], "widget": [{"messages": [{"role": "user", "content": "Translate into Korean:Hamsters don't eat cats."}]}], "base_model": "google/gemma-1.1-2b-it", "pipeline_tag": "text-generatio... | lemon-mint/gemma-2b-translation-v0.140 | null | [
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"license:gemma",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-25T15:07:15+00:00 | [] | [
"ko"
] | TAGS
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|
# Gemma 2B Translation v0.140
- Eval Loss: '0.91882'
- Train Loss: '0.80511'
- lr: '9e-05'
- optimizer: adamw
- lr_scheduler_type: cosine
## Prompt Template
## Model Description
- Developed by: 'lemon-mint'
- Model type: Gemma
- Language(s) (NLP): English
- License: gemma-terms-of-use
- Finetuned from model:... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="lzacchini/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional a... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | lzacchini/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-25T15:08:22+00:00 | [] | [] | TAGS
#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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] |
audio-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. -->
# distilhubert-finetuned-stutteringdetection
This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["arisha/stuttering"], "metrics": ["accuracy"], "base_model": "ntu-spml/distilhubert", "model-index": [{"name": "distilhubert-finetuned-stutteringdetection", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "... | arisha123/distilhubert-finetuned-my_dataset | null | [
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"safetensors",
"hubert",
"audio-classification",
"generated_from_trainer",
"dataset:arisha/stuttering",
"base_model:ntu-spml/distilhubert",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2024-04-25T15:09:23+00:00 | [] | [] | TAGS
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| distilhubert-finetuned-stutteringdetection
==========================================
This model is a fine-tuned version of ntu-spml/distilhubert on the stuttering dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8952
* Accuracy: 0.7692
Model description
-----------------
More informa... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio: ... | [
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text-generation | mlx |
# mlx-community/Llama-3-8b-64k-PoSE-4bit
This model was converted to MLX format from [`winglian/Llama-3-8b-64k-PoSE`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/winglian/Llama-3-8b-64k-PoSE) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```... | {"language": ["en"], "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "mlx"], "pipeline_tag": "text-generation"} | mlx-community/Llama-3-8b-64k-PoSE-4bit | null | [
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"safetensors",
"llama",
"facebook",
"meta",
"pytorch",
"llama-3",
"text-generation",
"en",
"region:us"
] | null | 2024-04-25T15:09:35+00:00 | [] | [
"en"
] | TAGS
#mlx #safetensors #llama #facebook #meta #pytorch #llama-3 #text-generation #en #region-us
|
# mlx-community/Llama-3-8b-64k-PoSE-4bit
This model was converted to MLX format from ['winglian/Llama-3-8b-64k-PoSE']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
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null | transformers |
# 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": []} | MLP-Lemma/Lemma-pt3000-sft-cnn-90k | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T15:09:35+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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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": []} | liddlefish/privacyembeddingv2 | null | [
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"pytorch",
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"feature-extraction",
"arxiv:1910.09700",
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#transformers #pytorch #roberta #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
## 4-bit GEMM AWQ Quantizations of L3-TheSpice-8b-v0.8.3
Using <a href="https://github.com/casper-hansen/AutoAWQ/">AutoAWQ</a> release <a href="https://github.com/casper-hansen/AutoAWQ/releases/tag/v0.2.4">v0.2.4</a> for quantization.
Original model: https://huggingface.co/cgato/L3-TheSpice-8b-v0.8.3
## Prompt for... | {"license": "cc-by-nc-4.0", "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/L3-TheSpice-8b-v0.8.3-AWQ | null | [
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"endpoints_compatible",
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] | null | 2024-04-25T15:13:03+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
|
## 4-bit GEMM AWQ Quantizations of L3-TheSpice-8b-v0.8.3
Using <a href="URL release <a href="URL for quantization.
Original model: URL
## Prompt format
## AWQ Parameters
- q_group_size: 128
- w_bit: 4
- zero_point: True
- version: GEMM
## How to run
From the AutoAWQ repo here
First install autoawq pypi ... | [
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text-generation | transformers |
<img src="./llama-3-merges.webp" alt="Llama-3 DPO Logo" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.1
This model is a fine-tune (DPO) of `meta-llama/Meta-Llama-3-70B-Instruct` model.
# Quantized GGUF
All GGUF models are available here: [... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["axolotl", "finetune", "dpo", "facebook", "meta", "pytorch", "llama", "llama-3", "chatml"], "datasets": ["mlabonne/chatml-OpenHermes2.5-dpo-binarized-alpha"], "base_model": "meta-llama/Meta-Llama-3-70B-Instruct", "pipeline_tag": "text-ge... | MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.1 | null | [
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"dataset:mlabonne/chatml-OpenHermes2.5-dpo-binarized-alpha",
"base_model:meta-llama/Meta-Llama-3-70B-Instruct",
"licens... | null | 2024-04-25T15:13:24+00:00 | [] | [
"en"
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MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.1
===========================================
This model is a fine-tune (DPO) of 'meta-llama/Meta-Llama-3-70B-Instruct' model.
Quantized GGUF
==============
All GGUF models are available here: MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.1-GGUF
P... | [] | [
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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": []} | MLP-Lemma/Lemma-pt3000-sft-xsum-90k | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T15:13:42+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="lzacchini/q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.54 +/... | lzacchini/q-Taxi-v3 | null | [
"Taxi-v3",
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"reinforcement-learning",
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#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-7b-instruct-v0.2-advisegpt-v0.1
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator", "ninyx/data_advise-gpt-extended"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral-7b-instruct-v0.2-advisegpt-v0.1", "results": []}]} | ninyx/mistral-7b-instruct-v0.2-advisegpt-v0.1 | null | [
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"license:apache-2.0",
"region:us"
] | null | 2024-04-25T15:15:18+00:00 | [] | [] | TAGS
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| mistral-7b-instruct-v0.2-advisegpt-v0.1
=======================================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the generator dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5297
Model description
-----------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 6\n* eval\\_batch\\_size: 6\n* seed: 42\n* gradient\\_accumulation\\_steps: 15\n* total\\_train\\_batch\\_size: 90\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
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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... | {"license": "mit", "library_name": "transformers"} | kishorea/finetuned_qa5 | null | [
"transformers",
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"1910.09700"
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|
# Model Card for Model ID
## Model Details
### Model Description
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | terry69/zephyr-7b-sft-qlora-10p-full | null | [
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|
# Model Card for Model ID
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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. -->
# Boya1_RMSProp_1-e5_20Epoch_swin-base-window7-224-in22k_fold2
This model is a fine-tuned version of [microsoft/swin-base-patch4-w... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-base-patch4-window7-224-in22k", "model-index": [{"name": "Boya1_RMSProp_1-e5_20Epoch_swin-base-window7-224-in22k_fold2", "results": [{"task": {"type": "image-classification",... | onizukal/Boya1_RMSProp_1-e5_20Epoch_swin-base-window7-224-in22k_fold2 | null | [
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| Boya1\_RMSProp\_1-e5\_20Epoch\_swin-base-window7-224-in22k\_fold2
=================================================================
This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224-in22k on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 2.4218
*... | [
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text2text-generation | transformers | ## Model description
This model is a sequence-to-sequence question generator that takes an answer and context as an input and generates a question as an output. It is based on a pre-trained mt5-base by [Google](https://github.com/google-research/multilingual-t5) model.
## Training data
The model was fine-tuned on [XQu... | {} | nluai/question-generation-vietnamese | null | [
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"text2text-generation",
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#transformers #pytorch #mt5 #text2text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| ## Model description
This model is a sequence-to-sequence question generator that takes an answer and context as an input and generates a question as an output. It is based on a pre-trained mt5-base by Google model.
## Training data
The model was fine-tuned on XQuAD
## Example usage
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null | null | HyperSD 1-step LoRA baked-in model converted to OpenVINO(int8) and weights compressed with NNCF(10GB to 4.4GB).
Original Model : [Hyper-SD](https://huggingface.co/ByteDance/Hyper-SD)
You can use this model with [FastSD CPU](https://github.com/rupeshs/fastsdcpu).
To run the model yourself,... | {"language": ["en"], "license": "openrail++", "tags": ["stablediffusion", "openvino"]} | rupeshs/hyper-sd-sdxl-1-step-openvino-int8 | null | [
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| HyperSD 1-step LoRA baked-in model converted to OpenVINO(int8) and weights compressed with NNCF(10GB to 4.4GB).
Original Model : Hyper-SD
You can use this model with FastSD CPU.
!Sample
To run the model yourself, you can leverage the Diffusers library:
1. Install the dependencies:
2. Run the model:
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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": []} | liquid9212/woh0lgj | null | [
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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": []} | quickstep3621/t7403i6 | null | [
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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": ["unsloth", "trl", "sft"]} | kiko2001/llama-3-coding-mkd | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
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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. -->
# dinov2-base-finetuned-oxford
This model is a fine-tuned version of [facebook/dinov2-base](https://huggingface.co/facebook/dinov2... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/dinov2-base", "model-index": [{"name": "dinov2-base-finetuned-oxford", "results": []}]} | levent1/dinov2-base-finetuned-oxford | null | [
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"dinov2",
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#transformers #tensorboard #safetensors #dinov2 #image-classification #generated_from_trainer #base_model-facebook/dinov2-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| dinov2-base-finetuned-oxford
============================
This model is a fine-tuned version of facebook/dinov2-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2296
* Accuracy: 0.9319
Model description
-----------------
More information needed
Intended uses & lim... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 16\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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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": []} | Ornelas7/code-search-net-tokenizer | 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 | mlx |
# GreenBitAI/Phi-3-mini-4k-instruct-layer-mix-bpw-2.2-mlx
This quantized low-bit model was converted to MLX format from [`GreenBitAI/Phi-3-mini-4k-instruct-layer-mix-bpw-2.2`]().
Refer to the [original model card](https://huggingface.co/GreenBitAI/Phi-3-mini-4k-instruct-layer-mix-bpw-2.2) for more details on the model... | {"license": "apache-2.0", "tags": ["mlx"]} | GreenBitAI/Phi-3-mini-4k-instruct-layer-mix-bpw-2.2-mlx | null | [
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|
# GreenBitAI/Phi-3-mini-4k-instruct-layer-mix-bpw-2.2-mlx
This quantized low-bit model was converted to MLX format from ['GreenBitAI/Phi-3-mini-4k-instruct-layer-mix-bpw-2.2']().
Refer to the original model card for more details on the model.
## Use with mlx
| [
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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": []} | yamaguchi-kota/gemma-medical_qa-Finetune | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | 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"} | smacky42/sn17-6-2 | null | [
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# Model Card for Model ID
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# NDD-pagekit_test-content_tags
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "NDD-pagekit_test-content_tags", "results": []}]} | lgk03/NDD-pagekit_test-content_tags | null | [
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| NDD-pagekit\_test-content\_tags
===============================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.2690
* Accuracy: 0.6554
* F1: 0.6119
* Precision: 0.6638
* Recall: 0.6554
Model description
------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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text-to-image | diffusers |
## ANIMATOR-XL PROMPT IS EVERYTHING !! 😉
<Gallery />
## USE IT WITH DIFFUSERS 🧨
```python
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('prithivMLmods/ProductH-Animator-XL', torch_dtype=torch.float16).to('cuda') ... | {"license": "creativeml-openrail-m", "tags": ["text-to-image", "turbo", "stable-diffusion", "stable-diffusion-xl"], "pipeline_tag": "text-to-image", "widget": [{"text": "(masterpiece, best quality, highres:1.2) , (intricate and beautiful:1.2) , (detailed light:1.2) , (colorful) , 1woman, long hair, ponytail, bangs, cow... | prithivMLmods/ProductH-Animator-XL | null | [
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|
!row01
## ANIMATOR-XL PROMPT IS EVERYTHING !!
<Gallery />
## USE IT WITH DIFFUSERS
## CONCLUSION
The model is age violated, and the results to your prompt are at your own risk. [ Think before prompting the violated content ]
The model is re-designed [ SDXL 1.0 ] only for productivity purposes. | [
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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_ablation_5iters_bs256_useresponse_iter_5
This model is a fine-tuned version of [ShenaoZ/0.001_ablation_5iters_bs256_useres... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_ablation_5iters_bs256_useresponse_iter_4", "model-index": [{"name": "0.001_ablation_5iters_bs256_useresponse_iter_5", "results": []}]} | ShenaoZ/0.001_ablation_5iters_bs256_useresponse_iter_5 | null | [
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"license:mit",
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... | null | 2024-04-25T15:26:56+00:00 | [] | [] | TAGS
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# 0.001_ablation_5iters_bs256_useresponse_iter_5
This model is a fine-tuned version of ShenaoZ/0.001_ablation_5iters_bs256_useresponse_iter_4 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation ... | [
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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": []} | Peto1/mistral-finetuned-text-generation | null | [
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text-generation | transformers | # SniffyOtter-7B-Novel-Writing-NSFW
[GGUF版はこちら/Click here for the GGUF version](https://huggingface.co/Aratako/SniffyOtter-7B-Novel-Writing-NSFW-GGUF)
## 概要
[Elizezen/SniffyOtter-7B](https://huggingface.co/Elizezen/SniffyOtter-7B)をベースに、NSFW特化で小説生成用のinstruction tuningを施したモデルです。
ジャンルやクオリティ、キーワードや過激さを指定すると、それに従った小説を生成す... | {"language": ["ja"], "license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["not-for-all-audiences", "nsfw"], "datasets": ["Aratako/Syosetu711K-Cleaned-158K-Instruct"], "base_model": ["Elizezen/SniffyOtter-7B"]} | Aratako/SniffyOtter-7B-Novel-Writing-NSFW | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"not-for-all-audiences",
"nsfw",
"ja",
"dataset:Aratako/Syosetu711K-Cleaned-158K-Instruct",
"base_model:Elizezen/SniffyOtter-7B",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
... | null | 2024-04-25T15:28:58+00:00 | [] | [
"ja"
] | TAGS
#transformers #safetensors #mistral #text-generation #not-for-all-audiences #nsfw #ja #dataset-Aratako/Syosetu711K-Cleaned-158K-Instruct #base_model-Elizezen/SniffyOtter-7B #license-cc-by-nc-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # SniffyOtter-7B-Novel-Writing-NSFW
GGUF版はこちら/Click here for the GGUF version
## 概要
Elizezen/SniffyOtter-7Bをベースに、NSFW特化で小説生成用のinstruction tuningを施したモデルです。
ジャンルやクオリティ、キーワードや過激さを指定すると、それに従った小説を生成するようにinstruction tuningしています。
Aratako/Antler-7B-Novel-Writingとの違いは主に以下の点になります。
- 元モデルをElizezen/Antler-7BからElizezen/SniffyO... | [
"# SniffyOtter-7B-Novel-Writing-NSFW\nGGUF版はこちら/Click here for the GGUF version",
"## 概要\n\nElizezen/SniffyOtter-7Bをベースに、NSFW特化で小説生成用のinstruction tuningを施したモデルです。\n\nジャンルやクオリティ、キーワードや過激さを指定すると、それに従った小説を生成するようにinstruction tuningしています。\n\nAratako/Antler-7B-Novel-Writingとの違いは主に以下の点になります。\n\n- 元モデルをElizezen/Antler-7B... | [
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null | mlx |
# lucataco/dolphin-2.9-llama3-70b-8bit
This model was converted to MLX format from [`cognitivecomputations/dolphin-2.9-llama3-70b`]() using mlx-lm version **0.11.0**.
Refer to the [original model card](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-70b) for more details on the model.
## Use with mlx
... | {"language": ["en"], "license": "llama3", "tags": ["mlx"], "datasets": ["cognitivecomputations/Dolphin-2.9", "teknium/OpenHermes-2.5", "m-a-p/CodeFeedback-Filtered-Instruction", "cognitivecomputations/dolphin-coder", "cognitivecomputations/samantha-data", "HuggingFaceH4/ultrachat_200k", "microsoft/orca-math-word-proble... | lucataco/dolphin-2.9-llama3-70b-8bit | null | [
"mlx",
"safetensors",
"llama",
"en",
"dataset:cognitivecomputations/Dolphin-2.9",
"dataset:teknium/OpenHermes-2.5",
"dataset:m-a-p/CodeFeedback-Filtered-Instruction",
"dataset:cognitivecomputations/dolphin-coder",
"dataset:cognitivecomputations/samantha-data",
"dataset:HuggingFaceH4/ultrachat_200k... | null | 2024-04-25T15:29:37+00:00 | [] | [
"en"
] | TAGS
#mlx #safetensors #llama #en #dataset-cognitivecomputations/Dolphin-2.9 #dataset-teknium/OpenHermes-2.5 #dataset-m-a-p/CodeFeedback-Filtered-Instruction #dataset-cognitivecomputations/dolphin-coder #dataset-cognitivecomputations/samantha-data #dataset-HuggingFaceH4/ultrachat_200k #dataset-microsoft/orca-math-word-... |
# lucataco/dolphin-2.9-llama3-70b-8bit
This model was converted to MLX format from ['cognitivecomputations/dolphin-2.9-llama3-70b']() using mlx-lm version 0.11.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# lucataco/dolphin-2.9-llama3-70b-8bit\nThis model was converted to MLX format from ['cognitivecomputations/dolphin-2.9-llama3-70b']() using mlx-lm version 0.11.0.\nRefer to the original model card for more details on the model.",
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null | null | # MyVLM
**Paper:** https://arxiv.org/abs/2403.14599
**Project Page:** https://snap-research.github.io/MyVLM/
**Code:** https://github.com/snap-research/MyVLM
# MyVLM Concept Heads & Concept Embeddings
As part of our [MyVLM code](https://github.com/snap-research/MyVLM) release, we have also released pretrained con... | {"license": "other", "license_name": "myvlm-snap-license", "license_link": "https://github.com/snap-research/MyVLM/blob/master/LICENSE"} | yuvalalaluf/MyVLM | null | [
"arxiv:2403.14599",
"license:other",
"region:us"
] | null | 2024-04-25T15:30:00+00:00 | [
"2403.14599"
] | [] | TAGS
#arxiv-2403.14599 #license-other #region-us
| # MyVLM
Paper: URL
Project Page: URL
Code: URL
# MyVLM Concept Heads & Concept Embeddings
As part of our MyVLM code release, we have also released pretrained concept heads and concept embeddings for all 29 objects used in the paper.
These can be loaded using the 'CLIPConceptHead' class and our inference scripts... | [
"# MyVLM\n\nPaper: URL\n \nProject Page: URL\n\nCode: URL",
"# MyVLM Concept Heads & Concept Embeddings\nAs part of our MyVLM code release, we have also released pretrained concept heads and concept embeddings for all 29 objects used in the paper. \n\nThese can be loaded using the 'CLIPConceptHead' class and our ... | [
"TAGS\n#arxiv-2403.14599 #license-other #region-us \n",
"# MyVLM\n\nPaper: URL\n \nProject Page: URL\n\nCode: URL",
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"TAGS\n#arxiv-2403.14599 #license-other #region-us \n# MyVLM\n\nPaper: URL\n \nProject Page: URL\n\nCode: URL# MyVLM Concept Heads & Concept Embeddings\nAs part of our MyVLM code release, we have also released pretrained concept heads and concept embeddings for all 29 objects used in the paper. \n\nThese can be loa... |
text-generation | mlx |
# mlx-community/Llama-3-8b-64k-PoSE-8bit
This model was converted to MLX format from [`winglian/Llama-3-8b-64k-PoSE`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/winglian/Llama-3-8b-64k-PoSE) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```... | {"language": ["en"], "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "mlx"], "pipeline_tag": "text-generation"} | mlx-community/Llama-3-8b-64k-PoSE-8bit | null | [
"mlx",
"safetensors",
"llama",
"facebook",
"meta",
"pytorch",
"llama-3",
"text-generation",
"en",
"region:us"
] | null | 2024-04-25T15:31:48+00:00 | [] | [
"en"
] | TAGS
#mlx #safetensors #llama #facebook #meta #pytorch #llama-3 #text-generation #en #region-us
|
# mlx-community/Llama-3-8b-64k-PoSE-8bit
This model was converted to MLX format from ['winglian/Llama-3-8b-64k-PoSE']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# mlx-community/Llama-3-8b-64k-PoSE-8bit\nThis model was converted to MLX format from ['winglian/Llama-3-8b-64k-PoSE']() using mlx-lm version 0.10.0.\nRefer to the original model card for more details on the model.",
"## Use with mlx"
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod18
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_13_0"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-large-xlsr-53", "model-index": [{"name": "wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod18", "results": [{"task": {"type": "automatic-speech-recognition", "name"... | EzraWilliam/wav2vec2-xlsr-53-CV-demo-google-colab-Ezra_William_Prod18 | null | [
"transformers",
"tensorboard",
"safetensors",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"dataset:common_voice_13_0",
"base_model:facebook/wav2vec2-large-xlsr-53",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T15:32:43+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #dataset-common_voice_13_0 #base_model-facebook/wav2vec2-large-xlsr-53 #license-apache-2.0 #model-index #endpoints_compatible #region-us
| wav2vec2-xlsr-53-CV-demo-google-colab-Ezra\_William\_Prod18
===========================================================
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common\_voice\_13\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4423
* Wer: 0.3800
M... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 6\n* mixed\\_prec... | [
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text-generation | null |
# LaurensVdP/Mistral-7B-Instruct-v0.2-Q8_0-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 [origi... | {"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?"}]}]} | LaurensVdP/Mistral-7B-Instruct-v0.2-Q8_0-GGUF | null | [
"gguf",
"finetuned",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"license:apache-2.0",
"region:us"
] | null | 2024-04-25T15:34:11+00:00 | [] | [] | TAGS
#gguf #finetuned #llama-cpp #gguf-my-repo #text-generation #license-apache-2.0 #region-us
|
# LaurensVdP/Mistral-7B-Instruct-v0.2-Q8_0-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.
C... | [
"# LaurensVdP/Mistral-7B-Instruct-v0.2-Q8_0-GGUF\nThis model was converted to GGUF format from 'mistralai/Mistral-7B-Instruct-v0.2' 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 serve... | [
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sentence-similarity | sentence-transformers |
# SentenceTransformer based on distilbert/distilbert-base-uncased
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the [sentence-transformers/stsb](https://huggingface.co/datasets/sentence-t... | {"language": ["en"], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "sentence-similarity", "feature-extraction", "loss:AdaptiveLayerLoss", "loss:CoSENTLoss"], "metrics": ["pearson_cosine", "spearman_cosine", "pearson_manhattan", "spearman_manhattan", "pearson_euclidean", "spearman_euclidean"... | tomaarsen/distilbert-base-uncased-sts-adaptive-layer | null | [
"sentence-transformers",
"safetensors",
"distilbert",
"sentence-similarity",
"feature-extraction",
"loss:AdaptiveLayerLoss",
"loss:CoSENTLoss",
"en",
"arxiv:1908.10084",
"arxiv:2402.14776",
"base_model:distilbert/distilbert-base-uncased",
"model-index",
"co2_eq_emissions",
"endpoints_compa... | null | 2024-04-25T15:34:57+00:00 | [
"1908.10084",
"2402.14776"
] | [
"en"
] | TAGS
#sentence-transformers #safetensors #distilbert #sentence-similarity #feature-extraction #loss-AdaptiveLayerLoss #loss-CoSENTLoss #en #arxiv-1908.10084 #arxiv-2402.14776 #base_model-distilbert/distilbert-base-uncased #model-index #co2_eq_emissions #endpoints_compatible #region-us
| SentenceTransformer based on distilbert/distilbert-base-uncased
===============================================================
This is a sentence-transformers model finetuned from distilbert/distilbert-base-uncased on the sentence-transformers/stsb dataset. It maps sentences & paragraphs to a 768-dimensional dense v... | [
"### Model Description\n\n\n* Model Type: Sentence Transformer\n* Base model: distilbert/distilbert-base-uncased\n* Maximum Sequence Length: 512 tokens\n* Output Dimensionality: 768 tokens\n* Similarity Function: Cosine Similarity\n* Training Dataset:\n\t+ sentence-transformers/stsb\n* Language: en",
"### Model S... | [
"TAGS\n#sentence-transformers #safetensors #distilbert #sentence-similarity #feature-extraction #loss-AdaptiveLayerLoss #loss-CoSENTLoss #en #arxiv-1908.10084 #arxiv-2402.14776 #base_model-distilbert/distilbert-base-uncased #model-index #co2_eq_emissions #endpoints_compatible #region-us \n",
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null | transformers |
# Uploaded model
- **Developed by:** gboateng
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | gboateng/adom-min-v1_model | null | [
"transformers",
"safetensors",
"text-generation-inference",
"unsloth",
"llama",
"trl",
"en",
"base_model:unsloth/llama-3-8b-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-25T15:35:59+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #text-generation-inference #unsloth #llama #trl #en #base_model-unsloth/llama-3-8b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: gboateng
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: gboateng\n- License: apache-2.0\n- Finetuned from model : unsloth/llama-3-8b-bnb-4bit\n\nThis llama model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
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"# Uploaded model\n\n- Developed by: gboateng\n- License: apache-2.0\n- Finetuned from model : unsloth/llama-3-8b-bnb-4bit\n\nThi... | [
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