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text-generation | transformers |
[ahxt/LiteLlama-460M-1T](https://huggingface.co/ahxt/LiteLlama-460M-1T)を日英データ3.9Bトークンで継続事前学習したモデルです。
詳細は[こちら](https://zenn.dev/kendama/articles/d1f595777a8407)をご覧ください。
名前の由来は日本の在来馬で体躯の小さい品種であるヨナグニウマからです。
```python
from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
model = AutoModelForCausalLM.f... | {"license": "apache-2.0"} | Kendamarron/Yonaguni-460M-v0.1 | null | [
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#transformers #safetensors #llama #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
ahxt/LiteLlama-460M-1Tを日英データ3.9Bトークンで継続事前学習したモデルです。
詳細はこちらをご覧ください。
名前の由来は日本の在来馬で体躯の小さい品種であるヨナグニウマからです。
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token-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. -->
# EE_baseline
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on t... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "EE_baseline", "results": []}]} | radioapple/EE_baseline | null | [
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| EE\_baseline
============
This model is a fine-tuned version of distilbert-base-uncased on the DocEE dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3574
* Overall Precision: 0.9080
* Overall Recall: 0.9078
* Overall F1: 0.9079
* Overall Accuracy: 0.9062
* Accident investigator F1: 0.638... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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## Model Details
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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": []} | CognitoLibera2/model_s9_7b_14 | null | [
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | samzirbo/mT5.tokenizer.en-es.32K.30M | null | [
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text-generation | transformers | # LAION LeoLM: **L**inguistically **E**nhanced **O**pen **L**anguage **M**odel
Meet LeoLM, the first open and commercially available German Foundation Language Model built on Llama-2.
Our models extend Llama-2's capabilities into German through continued pretraining on a large corpus of German-language and mostly loca... | {"language": ["en", "de"], "library_name": "transformers", "datasets": ["oscar-corpus/OSCAR-2301", "wikipedia", "bjoernp/tagesschau-2018-2023"], "pipeline_tag": "text-generation"} | titanbot/LeoLM-hessianai-7b | null | [
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| # LAION LeoLM: Linguistically Enhanced Open Language Model
Meet LeoLM, the first open and commercially available German Foundation Language Model built on Llama-2.
Our models extend Llama-2's capabilities into German through continued pretraining on a large corpus of German-language and mostly locality specific text.
... | [
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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": []} | Lakoc/voxpopuli_bpe50_cz | null | [
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text-to-image | diffusers |
# AutoTrain SDXL LoRA DreamBooth - satyam23/lora_model
<Gallery />
## Model description
These are satyam23/lora_model LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using [DreamBooth](https://dreambooth.github.io/).
LoRA for the text encoder was enabled: False.
... | {"license": "openrail++", "tags": ["autotrain", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora", "template:sd-lora"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "photo of a sks person"} | satyam23/lora_model | null | [
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|
# AutoTrain SDXL LoRA DreamBooth - satyam23/lora_model
<Gallery />
## Model description
These are satyam23/lora_model LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
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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": "apache-2.0", "library_name": "peft", "tags": ["axolotl", "generated_from_trainer"], "base_model": "nlpai-lab/KULLM3", "model-index": [{"name": "kullm3_finetuning_test_4300QA_10epochs", "results": []}]} | superiort/kullm3_4300QA_10epochs | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
kullm3\_finetuning\_test\_4300QA\_10epochs
==========================================
This model is a fine-tuned version of nlpai-lab/KULLM3 on the None dataset.
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null | transformers |
# Uploaded model
- **Developed by:** Mandalor09
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-2-7b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-2-7b-bnb-4bit"} | Mandalor09/Bgg-llama2 | null | [
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|
# Uploaded model
- Developed by: Mandalor09
- License: apache-2.0
- Finetuned from model : unsloth/llama-2-7b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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": []} | Jerado/roberta-large-peft-p-tuning | null | [
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"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-generation | transformers |
# A bagel, with everything (except DPO)
## Overview
The name of this model is "llama-3-bagel-8b-v1.0" and it was built with llama-3 from Meta.
This is a fine-tune of llama-3-8b using the bagel dataset, but instead of 4 prompt formats it's standardized on a single format - llama-3 instruct.
See... | {"license": "other", "tags": ["llama-3", "bagel"], "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemistry", "camel-... | jondurbin/bagel-8b-v1.0 | null | [
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"dataset:jondurbin/airoboros-3.2",
"dataset:codeparrot/apps",
"dataset:fac... | null | 2024-04-24T10:52:08+00:00 | [] | [] | TAGS
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=====================================
!bagel
Overview
--------
The name of this model is "llama-3-bagel-8b-v1.0" and it was built with llama-3 from Meta.
This is a fine-tune of llama-3-8b using the bagel dataset, but instead of 4 prompt formats it's standardized on a single... | [
"### Data sources\n\n\nThere are many data sources used in the bagel models. See URL for more information.\n\n\n***Only train splits are used, and a decontamination by cosine similarity is performed at the end as a sanity check against common benchmarks. If you don't know the difference between train and test, plea... | [
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null | transformers |
# Uploaded model
- **Developed by:** rahulrajpv
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslot... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | rahulrajpv/genre_predictor | null | [
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"base_model:unsloth/llama-3-8b-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T10:52:15+00:00 | [] | [
"en"
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#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: rahulrajpv
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# Turkish-moe
Turkish-moe is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
## 🧩 Configuration
```yaml
base_model: Trendyol/Trendyol-LLM-7b-chat-dpo-v1.0
dtype: float16
gate_mode: cheap_embed
experts:
- source_model: TURKCELL/Turkcell-LLM-7b-v1
positive_prompts: ["You ar... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit"]} | burak/Turkish-moe | null | [
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"safetensors",
"mixtral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-24T10:55:00+00:00 | [] | [] | TAGS
#transformers #safetensors #mixtral #text-generation #merge #mergekit #lazymergekit #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Turkish-moe
Turkish-moe is a merge of the following models using mergekit:
## Configuration
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] |
null | transformers |
# Uploaded model
- **Developed by:** richie-ghost
- **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/unsl... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | richie-ghost/llama-3b-unsloth-merged-GGUF | null | [
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"base_model:unsloth/llama-3-8b-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
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"en"
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#transformers #gguf #llama #text-generation-inference #unsloth #en #base_model-unsloth/llama-3-8b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: richie-ghost
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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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... | ThatOneSkyler/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-24T10:56:15+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 |
# Bakanayatsu/TinyLlama-1.1B-intermediate-step-1431k-3T-Q8_0-GGUF
This model was converted to GGUF format from [`TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T`](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spac... | {"language": ["en"], "license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["cerebras/SlimPajama-627B", "bigcode/starcoderdata"]} | Bakanayatsu/TinyLlama-1.1B-intermediate-step-1431k-3T-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"dataset:cerebras/SlimPajama-627B",
"dataset:bigcode/starcoderdata",
"license:apache-2.0",
"region:us"
] | null | 2024-04-24T10:56:46+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #dataset-cerebras/SlimPajama-627B #dataset-bigcode/starcoderdata #license-apache-2.0 #region-us
|
# Bakanayatsu/TinyLlama-1.1B-intermediate-step-1431k-3T-Q8_0-GGUF
This model was converted to GGUF format from 'TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T' 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.
I... | [
"# Bakanayatsu/TinyLlama-1.1B-intermediate-step-1431k-3T-Q8_0-GGUF\nThis model was converted to GGUF format from 'TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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null | null | The ToolsBaer EML to G Suite Importer Program can convert an EML file to an S Suite account file in a matter of clicks. Users can import a great deal of EML files into their G Suite accounts without changing their data. Any email client, such as Outlook Express, Thunderbird, Windows Live Mail, and others, can convert E... | {} | madelineoliver/ToolsBaer-EML-to-G-Suite-Importer | null | [
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#region-us
| The ToolsBaer EML to G Suite Importer Program can convert an EML file to an S Suite account file in a matter of clicks. Users can import a great deal of EML files into their G Suite accounts without changing their data. Any email client, such as Outlook Express, Thunderbird, Windows Live Mail, and others, can convert E... | [] | [
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token-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. -->
# nlpcw_bert-base-uncased-abbr
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "nlpcw_bert-base-uncased-abbr", "results": []}]} | cogniveon/nlpcw_bert-base-uncased-abbr | null | [
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T11:00:06+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #token-classification #generated_from_trainer #base_model-google-bert/bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| nlpcw\_bert-base-uncased-abbr
=============================
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2675
* Precision: 0.9390
* Recall: 0.9349
* F1: 0.9369
* Accuracy: 0.9317
Model description
----... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/Azazelle/L3-RP_io
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "Azazelle/L3-RP_io", "quantized_by": "mradermacher"} | mradermacher/L3-RP_io-GGUF | null | [
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#transformers #gguf #mergekit #merge #en #base_model-Azazelle/L3-RP_io #license-llama3 #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-to-image | diffusers | # Huh Yun-jin XL
<Gallery />
## Model description
Don't use for NSFW purposes,
Don't Post on any social media platforms.
## Trigger words
You should use `Yunjin` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/ORILIN024/Huh_Yun... | {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora"], "widget": [{"text": "Yunjin, looking_at_viewer, bangs, realistic, long hair, red hair, baggy_shirt, 8k, realistic, high quality, sexy body", "parameters": {"negative_prompt": "(((watermark))), text, signature, logo, canvas frame, c... | ORILIN024/Huh_Yun-jin_XL | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-24T11:01:50+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
| # Huh Yun-jin XL
<Gallery />
## Model description
Don't use for NSFW purposes,
Don't Post on any social media platforms.
## Trigger words
You should use 'Yunjin' to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & ... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# hate_speech
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
## M... | {"tags": ["generated_from_keras_callback"], "model-index": [{"name": "hate_speech", "results": []}]} | Nafin/hate_speech | null | [
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"tf",
"bert",
"text-classification",
"generated_from_keras_callback",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T11:03:24+00:00 | [] | [] | TAGS
#transformers #tf #bert #text-classification #generated_from_keras_callback #autotrain_compatible #endpoints_compatible #region-us
|
# hate_speech
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
... | [
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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": []} | CognitoLibera2/model_s9_7b_15 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-31m_mz-130_IMDB_n-its-10-seed-2
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://huggingf... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-31m_mz-130_IMDB_n-its-10-seed-2", "results": []}]} | AlignmentResearch/robust_llm_pythia-31m_mz-130_IMDB_n-its-10-seed-2 | null | [
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"region:us"
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|
# robust_llm_pythia-31m_mz-130_IMDB_n-its-10-seed-2
This model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proced... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | loudinthecloud/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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"deep-reinforcement-learning",
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#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/stable-pants3 | null | [
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"text-generation",
"conversational",
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# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# 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": []} | baraah/blip2-opt-2.7b-400rows | 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": ["unsloth"]} | ravindrakinagi/test | null | [
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text-generation | transformers | # LAION LeoLM: **L**inguistically **E**nhanced **O**pen **L**anguage **M**odel
Meet LeoLM, the first open and commercially available German Foundation Language Model built on Llama-2.
Our models extend Llama-2's capabilities into German through continued pretraining on a large corpus of German-language and mostly loca... | {"language": ["en", "de"], "library_name": "transformers", "datasets": ["oscar-corpus/OSCAR-2301", "wikipedia", "bjoernp/tagesschau-2018-2023"], "pipeline_tag": "text-generation"} | titanbot/LeoLM-hessianai-13b | null | [
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| # LAION LeoLM: Linguistically Enhanced Open Language Model
Meet LeoLM, the first open and commercially available German Foundation Language Model built on Llama-2.
Our models extend Llama-2's capabilities into German through continued pretraining on a large corpus of German-language and mostly locality specific text.
... | [
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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. -->
# distilgpt2-finetuned-wikitext2
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "distilgpt2-finetuned-wikitext2", "results": []}]} | brankojaksic1/distilgpt2-finetuned-wikitext2 | null | [
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| distilgpt2-finetuned-wikitext2
==============================
This model is a fine-tuned version of distilgpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.6419
Model description
-----------------
More information needed
Intended uses & limitations
----------------... | [
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null | espnet |
[Derm La Fleur Anti Aging Serum](https://nycdepartmentoffinance.powerappsportals.us/forums/general-discussion/bc855799-0c02-ef11-a73d-001dd8305ba3) Indeed, even Complexion: A few serums might contain fixings like L-ascorbic acid or niacinamide that assistance in decreasing dim spots, hyperpigmentation, and advance an... | {"language": ["en"], "license": "bigscience-openrail-m", "library_name": "espnet", "tags": ["Derm La Fleur Anti Aging Serum"]} | dermlafleurantiagingserum/dermlafleurantiagingserum | null | [
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text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | frutiemax/VintageKnockers-Pixart-Sigma-XL-2-1024-MS | null | [
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This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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text-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. -->
# test_distilbert_standardized_job_title_role_categorizer
This model is a fine-tuned version of [distilbert/distilbert-base-uncase... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "test_distilbert_standardized_job_title_role_categorizer", "results": []}]} | recruitco/test_distilbert_standardized_job_title_role_categorizer | null | [
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|
# test_distilbert_standardized_job_title_role_categorizer
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
#... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-14m_mz-130_IMDB_n-its-10-seed-0
This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggingf... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-14m_mz-130_IMDB_n-its-10-seed-0", "results": []}]} | AlignmentResearch/robust_llm_pythia-14m_mz-130_IMDB_n-its-10-seed-0 | null | [
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|
# robust_llm_pythia-14m_mz-130_IMDB_n-its-10-seed-0
This model is a fine-tuned version of EleutherAI/pythia-14m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proced... | [
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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": "deepseek-ai/deepseek-coder-6.7b-instruct"} | Sloozi/deepseek_adapter2 | null | [
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- Finetuned from model [optional]:
### Model Sources [optional]
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text-generation | transformers | # [MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.1-GGUF](https://huggingface.co/MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.1-GGUF)
- Model creator: [MaziyarPanahi](https://huggingface.co/MaziyarPanahi)
- Original model: [MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.1](https://huggingface.co/MaziyarPanahi/Llama-3-8B-Instruct-DPO-v... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "text-generation", "llama", "llama-3", "text-generation"], "model_name": "Llama-3-8B-Instruct-DPO-v0.1-GGUF", "base_model": "MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.1", "inference": false, "model_creator": "MaziyarPanahi", "pipeline_t... | MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.1-GGUF | null | [
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| # MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.1-GGUF
- Model creator: MaziyarPanahi
- Original model: MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.1
## Description
MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.1-GGUF contains GGUF format model files for MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.1.
## Prompt Template
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_opus_books_model
This model was trained from scratch on an unknown dataset.
It achieves the following results on the ... | {"tags": ["generated_from_trainer"], "metrics": ["bleu"], "model-index": [{"name": "my_awesome_opus_books_model", "results": []}]} | Raif/my_awesome_opus_books_model | null | [
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| my\_awesome\_opus\_books\_model
===============================
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1992
* Bleu: 28.3023
* Gen Len: 19.2462
Model description
-----------------
More information needed
Intended uses & limi... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5\n* mixed\\_prec... | [
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null | null | ### Himel_Face_Detection
# install
pip install fastapi pydantic uvicorn pytz
# Himel app
------------
ngrok config add-authtoken 2Qm8hS1zPhVXiLjEdlI4738tLzF_2QJwGJMK5oTbQD33QSVXS && sudo apt update && sudo apt upgrade && ngrok http --domain=hawkeyes.ngrok.app 8000 | {} | rakib72642/Himel_Face_Tech | null | [
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#doi-10.57967/hf/2110 #region-us
| ### Himel_Face_Detection
# install
pip install fastapi pydantic uvicorn pytz
# Himel app
------------
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-14m_mz-130_IMDB_n-its-10-seed-1
This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggingf... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-14m_mz-130_IMDB_n-its-10-seed-1", "results": []}]} | AlignmentResearch/robust_llm_pythia-14m_mz-130_IMDB_n-its-10-seed-1 | null | [
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|
# robust_llm_pythia-14m_mz-130_IMDB_n-its-10-seed-1
This model is a fine-tuned version of EleutherAI/pythia-14m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-70m_mz-130_IMDB_n-its-10-seed-2
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggingf... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "robust_llm_pythia-70m_mz-130_IMDB_n-its-10-seed-2", "results": []}]} | AlignmentResearch/robust_llm_pythia-70m_mz-130_IMDB_n-its-10-seed-2 | null | [
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|
# robust_llm_pythia-70m_mz-130_IMDB_n-its-10-seed-2
This model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proced... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# robust_llm_pythia-70m_mz-130_IMDB_n-its-10-seed-3
This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggingf... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-70m", "model-index": [{"name": "robust_llm_pythia-70m_mz-130_IMDB_n-its-10-seed-3", "results": []}]} | AlignmentResearch/robust_llm_pythia-70m_mz-130_IMDB_n-its-10-seed-3 | null | [
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"gpt_neox",
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"license:apache-2.0",
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|
# robust_llm_pythia-70m_mz-130_IMDB_n-its-10-seed-3
This model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proced... | [
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text-generation | transformers | # merged
This is the unquantized Seccond version of SnowyRP using LLama3, added some models will add a EXL2 Quant.
[EXL2](https://huggingface.co/Masterjp123/Llama-3-SnowyRP-8B-V1-B-4.5bit)
## Merge Details
For this model I used the most uncensored and smartest finetunes of LLama 3, since LLama 3 has the largest ammou... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Sao10K/L3-Solana-8B-v1", "Masterjp123/Llama-3-SnowyRP-8B-V1", "kuotient/Meta-Llama-3-8B-Instruct", "cgato/L3-TheSpice-8b-v0.1.3"]} | ZhenyaPav/Llama-3-SnowyRP-8B-V1-B-exl2-8bit | null | [
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This is the unquantized Seccond version of SnowyRP using LLama3, added some models will add a EXL2 Quant.
EXL2
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text-to-image | diffusers | # Fonglets Sabudenego Pony XL
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
[Download](/Fongletto/Fonglets_Sabudenego_Pony_XL/tree/main) them in the Files & versions tab. | {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora", "not-for-all-audiences"], "widget": [{"text": "-", "output": {"url": "images/00023-1100239449.png"}}, {"text": "-", "output": {"url": "images/00037-3788618758.png"}}, {"text": "-", "output": {"url": "images/00043-1395229041.png"}}, ... | Fongletto/Fonglets_Sabudenego_Pony_XL | null | [
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#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #not-for-all-audiences #base_model-stablediffusionapi/pony-diffusion-v6-xl #region-us
| # Fonglets Sabudenego Pony XL
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab. | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/megumi21/Megumi-Chat-llama3-8b-v0.1
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do ... | {"language": ["en"], "library_name": "transformers", "base_model": "megumi21/Megumi-Chat-llama3-8b-v0.1", "quantized_by": "mradermacher"} | mradermacher/Megumi-Chat-llama3-8b-v0.1-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | null | <!-- markdownlint-disable MD041 -->
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<!-- img src="http://professorf.com/wp-content/uploads/2014/12/VirtualWorldGirl.png" alt="ProfessorF" style="width: 100%; min-width: 400px; display: block; margin: auto;" -->
</div... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code"], "model_name": "Phi 3", "base_model": "microsoft/Phi-3-mini-128k-instruct", "inference": false, "license_link": "https://huggingface.co/microsoft/phi-3/resolve/main/LICENSE", "license_name": "microsoft-research-license", "model_creator": "Microsoft", "model... | professorf/phi-3-mini-128k-f16-gguf | null | [
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|
ProfessorF is Dr. Nick V. Flor
Models converted for research purposes
---
Phi 3 - GGUF
============
* Model creator: Microsoft
* Original model: Phi 3-mini-128k-instruct
Description
-----------
This repo contains GGUF format model files for Microsoft's Phi 3.
### About GGUF
GGUF is a new format intr... | [
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fill-mask | 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. -->
# distilbert-base-uncased-finetuned-jd-eng
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-jd-eng", "results": []}]} | aliekens/distilbert-base-uncased-finetuned-jd-eng | null | [
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| distilbert-base-uncased-finetuned-jd-eng
========================================
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: 2.0451
Model description
-----------------
More information needed
Intended us... | [
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text-generation | transformers |
# Llama-3-KafkaLM-8B-v0.1
**KafkaLM 8b** is a Llama3 8b model which was finetuned on an ensemble of popular high-quality open-source instruction sets (translated from English to German).
Llama 3... | {"language": ["de", "en"], "license": "llama3", "library_name": "transformers", "tags": ["deutsch", "german", "seedbox", "llama3", "english"], "datasets": ["seedboxai/multitask_german_examples_32k"], "pipeline_tag": "text-generation"} | seedboxai/Llama-3-KafkaLM-8B-v0.1 | null | [
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|
!image/png
# Llama-3-KafkaLM-8B-v0.1
KafkaLM 8b is a Llama3 8b model which was finetuned on an ensemble of popular high-quality open-source instruction sets (translated from English to German).
Llama 3 KafkaLM 8b is a Seedbox project trained by Dennis Dickmann.
Why Kafka?
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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": []} | LumousInTheWild/image_captioning_1 | null | [
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null | peft |
# Llama3_8B_Odia_Unsloth
Llama3_8B_Odia_Unsloth is a fine-tuned Odia large language model with 8 billion parameters, and it is based on Llama3. The model is fine-tuned on a comprehensive [171k Odia instruction set](https://huggingface.co/datasets/OdiaGenAI/all_combined_odia_171k), encompassing domain-specific and cul... | {"license": "llama3", "library_name": "peft", "base_model": "unsloth/llama-3-8b-bnb-4bit", "model-index": [{"name": "Llama3_8B_Odia_Unsloth", "results": []}]} | OdiaGenAI-LLM/Llama3_8B_Odia_Unsloth | null | [
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# Llama3_8B_Odia_Unsloth
Llama3_8B_Odia_Unsloth is a fine-tuned Odia large language model with 8 billion parameters, and it is based on Llama3. The model is fine-tuned on a comprehensive 171k Odia instruction set, encompassing domain-specific and cultural nuances.
The fine-tuning process leverages Unsloth, expeditin... | [
"# Llama3_8B_Odia_Unsloth\n\nLlama3_8B_Odia_Unsloth is a fine-tuned Odia large language model with 8 billion parameters, and it is based on Llama3. The model is fine-tuned on a comprehensive 171k Odia instruction set, encompassing domain-specific and cultural nuances.\n\nThe fine-tuning process leverages Unsloth, e... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
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<!-- ### convert_type: -->
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weighted/imatrix quants of https://huggingface.co/ValiantLabs/Llama3-70B-ShiningValiant2
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static quants are available at https://huggingface.co/mradermacher/Ll... | {"language": ["en"], "license": "other", "library_name": "transformers", "tags": ["shining-valiant", "shining-valiant-2", "valiant", "valiant-labs", "llama", "llama-3", "llama-3-instruct", "llama-3-instruct-70b", "70b", "conversational", "chat", "instruct"], "base_model": "ValiantLabs/Llama3-70B-ShiningValiant2", "lice... | mradermacher/Llama3-70B-ShiningValiant2-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
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more details, including on how to concatenate multi-part files.
Provided Quants
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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-100-100 | null | [
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Shared by [optional]:
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"tags": ["axolotl", "generated_from_trainer"], "base_model": "winglian/llama-3-32k-merged", "model-index": [{"name": "Red_Llama_32_base", "results": []}]} | KolaGang/Red_Llama_32_base | null | [
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| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
Red\_Llama\_32\_base
====================
This model is a fine-tuned version of winglian/llama-3-32k-merged on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.681... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 2\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 5\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 40\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": []} | CognitoLibera2/model_s9_7b_16 | null | [
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# Model Card for Model ID
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text-generation | transformers |
# Skyrim Fine-Tune for Meta Llama 3 8B Instruct
[<img src="https://staticdelivery.nexusmods.com/mods/1704/images/headers/98631_1692410778.jpg" width="1000"/>](https://art-from-the-machine.github.io/Mantella/)
GGUF models: [https://huggingface.co/art-from-the-machine/Mantella-Skyrim-Llama-3-8B-GGUF](https://huggingfac... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | art-from-the-machine/Mantella-Skyrim-Llama-3-8B | null | [
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|
# Skyrim Fine-Tune for Meta Llama 3 8B Instruct
<img src="URL width="1000"/>
GGUF models: URL
## Introduction
This fine-tune of Meta's Llama 3 8B Instruct model is intended to be used as a custom-tailored model for the Mantella Skyrim mod.
## Dataset
An Alpaca-style dataset of 8,800+ player <-> NPC interactions has... | [
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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": []} | CognitoLibera2/model_s9_7b_18 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Disclaimer
This model is an experimental fine tune of LLama-3
## Datasets used:
- unalignment/toxic-dpo-v0.2
- NobodyExistsOnTheInternet/ToxicQAFinal
- Open-Orca/SlimOrca (subset of data)
- Py... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["unsloth"], "datasets": ["unalignment/toxic-dpo-v0.2", "NobodyExistsOnTheInternet/ToxicQAFinal", "Open-Orca/SlimOrca", "PygmalionAI/PIPPA", "MinervaAI/Aesir-Preview"]} | hikikomoriHaven/llama3-8b-hikikomori-v0.4 | null | [
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|
!image/jpeg
# Disclaimer
This model is an experimental fine tune of LLama-3
## Datasets used:
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- NobodyExistsOnTheInternet/ToxicQAFinal
- Open-Orca/SlimOrca (subset of data)
- PygmalionAI/PIPPA
- MinervaAI/Aesir-Preview
### Model Description
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": ["unsloth"]} | Ahmedhany216/Text-to-Code-Generation-Gemma2B-V2 | null | [
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text-generation | transformers |
Checkpoints of [Weyaxi/Einstein-v6-7B](https://huggingface.co/Weyaxi/Einstein-v6.1-Llama3-8B). Head to the main model for more information :)
https://huggingface.co/Weyaxi/Einstein-v6.1-Llama3-8B | {"language": ["en"], "license": "other", "tags": ["axolotl", "generated_from_trainer", "instruct", "finetune", "chatml", "gpt4", "synthetic data", "science", "physics", "chemistry", "biology", "math", "llama", "llama3"], "datasets": ["allenai/ai2_arc", "camel-ai/physics", "camel-ai/chemistry", "camel-ai/biology", "came... | Weyaxi/Einstein-v6.1-Llama3-8B-checkpoints | null | [
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!image/png
Checkpoints of Weyaxi/Einstein-v6-7B. Head to the main model for more information :)
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null | transformers |
# Uploaded model
- **Developed by:** art-from-the-machine
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.c... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | art-from-the-machine/Mantella-Skyrim-Llama-3-8B-LoRa | null | [
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|
# Uploaded model
- Developed by: art-from-the-machine
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-Instruct-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text-generation | transformers |
# 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": []} | CognitoLibera2/model_s9_7b_17 | 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:
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/adalbertojunior/Llama-3-8B-Instruct-Portuguese-v0.4
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this t... | {"language": ["en"], "library_name": "transformers", "datasets": ["adalbertojunior/openHermes_portuguese"], "base_model": "adalbertojunior/Llama-3-8B-Instruct-Portuguese-v0.4", "quantized_by": "mradermacher"} | mradermacher/Llama-3-8B-Instruct-Portuguese-v0.4-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# lsg-lsh-mbart-cc25-16384-128-4-4ep
This model is a fine-tuned version of [Auruncus/lsg-lsh-mbart-cc25-16384-128-4-2ep](https://h... | {"language": ["ru"], "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "Auruncus/lsg-lsh-mbart-cc25-16384-128-4-2ep", "model-index": [{"name": "lsg-lsh-mbart-cc25-16384-128-4-4ep", "results": []}]} | Auruncus/lsg-lsh-mbart-cc25-16384-128-4-4ep | null | [
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|
# lsg-lsh-mbart-cc25-16384-128-4-4ep
This model is a fine-tuned version of Auruncus/lsg-lsh-mbart-cc25-16384-128-4-2ep on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5736
- Rouge1: 2.6972
- Rouge2: 1.6893
- Rougel: 2.6528
- Rougelsum: 2.6347
- Gen Len: 135.5
## Model desc... | [
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text-classification | transformers | # Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
This model is an artificial intelligence generated text detection model trained using real human text and AI generated text (mainly including Erine-Bot 4.0, Qwen-Turbo 4.0 and ChatGPT 3.0 )Can... | {"language": ["zh"], "license": "mit", "metrics": ["accuracy"], "pipeline_tag": "text-classification", "widget": [{"text": "\u674e\u767d\uff08701\u5e742\u670828\u65e5\u2014762\u5e7412\u6708\uff09 [28]\uff0c\u5b57\u592a\u767d\uff0c\u53f7\u9752\u83b2\u5c45\u58eb [20]\uff0c\u7956\u7c4d\u9647\u897f\u6210\u7eaa\uff08\u4eca\... | Juner/AI-generated-text-detection-pair | null | [
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null | null | # EffectXmed Creme Deutschland Erfahrungen Inhaltsstoffe, Vorteile Offizielle Preis, Kaufen
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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-v0.1-VIGGO-qlora
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/M... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "Mistral-7B-v0.1-VIGGO-qlora", "results": []}]} | asprenger/Mistral-7B-v0.1-VIGGO-qlora | null | [
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"license:apache-2.0",
"region:us"
] | null | 2024-04-24T11:41:37+00:00 | [] | [] | TAGS
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|
# Mistral-7B-v0.1-VIGGO-qlora
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Traini... | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | rwr20/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
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reinforcement-learning | ml-agents |
# **poca** Agent playing **SoccerTwos**
This is a trained model of a **poca** agent playing **SoccerTwos**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Docum... | {"library_name": "ml-agents", "tags": ["SoccerTwos", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SoccerTwos"]} | mrbesher/poca-SoccerTwos | null | [
"ml-agents",
"tensorboard",
"onnx",
"SoccerTwos",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-SoccerTwos",
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#ml-agents #tensorboard #onnx #SoccerTwos #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SoccerTwos #region-us
|
# poca Agent playing SoccerTwos
This is a trained model of a poca agent playing SoccerTwos
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* ... | [
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text-generation | transformers |
*There currently is an issue with the **model generating random reserved special tokens (like "<|reserved_special_token_49|>") at the end**. Please use with `skip_special_tokens=true`. We will update once we found the reason for this behaviour. If you found a solution, please let us know!*
# Llama 3 DiscoLM German 8b... | {"library_name": "transformers", "tags": []} | mayflowergmbh/Llama3_DiscoLM_German_8b_v0.1_experimental-AWQ | null | [
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*There currently is an issue with the model generating random reserved special tokens (like "<|reserved_special_token_49|>") at the end. Please use with 'skip_special_tokens=true'. We will update once we found the reason for this behaviour. If you found a solution, please let us know!*
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null | transformers |
# Skyrim Fine-Tune for Meta Llama 3 8B Instruct
[<img src="https://staticdelivery.nexusmods.com/mods/1704/images/headers/98631_1692410778.jpg" width="1000"/>](https://art-from-the-machine.github.io/Mantella/)
## Introduction
This fine-tune of Meta's Llama 3 8B Instruct model is intended to be used as a custom-tailore... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "gguf"], "base_model": "unsloth/llama-3-8b-Instruct-bnb-4bit"} | art-from-the-machine/Mantella-Skyrim-Llama-3-8B-GGUF | null | [
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# Skyrim Fine-Tune for Meta Llama 3 8B Instruct
<img src="URL width="1000"/>
## Introduction
This fine-tune of Meta's Llama 3 8B Instruct model is intended to be used as a custom-tailored model for the Mantella Skyrim mod.
## Dataset
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text-generation | transformers | # [MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.2-GGUF](https://huggingface.co/MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.2-GGUF)
- Model creator: [MaziyarPanahi](https://huggingface.co/MaziyarPanahi)
- Original model: [MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.2](https://huggingface.co/MaziyarPanahi/Llama-3-8B-Instruct-DPO-v... | {"tags": ["quantized", "2-bit", "3-bit", "4-bit", "5-bit", "6-bit", "8-bit", "GGUF", "text-generation", "llama", "llama-3", "text-generation"], "model_name": "Llama-3-8B-Instruct-DPO-v0.2-GGUF", "base_model": "MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.2", "inference": false, "model_creator": "MaziyarPanahi", "pipeline_t... | MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.2-GGUF | null | [
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| # MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.2-GGUF
- Model creator: MaziyarPanahi
- Original model: MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.2
## Description
MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.2-GGUF contains GGUF format model files for MaziyarPanahi/Llama-3-8B-Instruct-DPO-v0.2.
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text-generation | null |
## Llamacpp imatrix Quantizations of Phi-3-mini-4k-instruct
# This model is being deprecated in favour of the incoming conversion/quant with BPE tokenizers fixed. Will be here: https://huggingface.co/bartowski/Phi-3-mini-4k-instruct-GGUF
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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. -->
# train_2024-04-24-11-25-37
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/M... | {"license": "other", "library_name": "peft", "tags": ["llama-factory", "lora", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "train_2024-04-24-11-25-37", "results": []}]} | Sylvia2025/llama3-8B-alpaca_zh | null | [
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More information needed
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text-classification | transformers | language: en
license: cc-by-4.0
tags:
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This is a Natural Language Inference (NLI) classification model that was trained to
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text-generation | transformers |
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text-generation | transformers | Quantizations of https://huggingface.co/indischepartij/MiniCPM-3B-OpenHermes-2.5-v2
# From original readme
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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feature-extraction | transformers | # CNTDAI-6B
## Model Description
CNTDAI-6B 是 Community AI Model Group 为了进行POC来微调出来的符合公司需求的一个实验行模型，基于GLM Transformer模型进行微调的中英文LLM.采用了更多样的训练数据、更充分的训练步数和更合理的训练策略。在语义、数学、推理、代码、知识等不同角度的数据集上进行优化.
CNTDAI-6B is an experimental model fine-tuned by the Community AI Model Group for POC to meet the company's internal needs. It is... | {"license": "apache-2.0"} | cntd/CNTDAI-6B | null | [
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| # CNTDAI-6B
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text-generation | transformers |
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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": "apache-2.0", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | farhadali/autotrain-wii4h-pd8vo | null | [
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"text-generation-inference",
"peft",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #tensorboard #safetensors #mistral #text-generation #autotrain #text-generation-inference #peft #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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text-generation | transformers | # GALAXY-16B-v1.0
## Technical notes
- 72 layers,DUS procedure, mistral(32)->SOLAR(48)->GALAXY(72)
- 16B parameters
- model created as a extension of depth upscaling procedure used for SOLAR by upstage
## Results
- model can... | {"language": ["en"], "license": "apache-2.0", "tags": ["not-for-all-audiences"], "datasets": ["Intel/orca_dpo_pairs", "athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW", "Open-Orca/SlimOrca", "MinervaAI/Aesir-Preview", "allenai/ultrafeedback_binarized_cleaned"]} | TeeZee/GALAXY-16B-v1.0-bpw6.5-h8-exl2 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"not-for-all-audiences",
"conversational",
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"dataset:Intel/orca_dpo_pairs",
"dataset:athirdpath/DPO_Pairs-Roleplay-Alpaca-NSFW",
"dataset:Open-Orca/SlimOrca",
"dataset:MinervaAI/Aesir-Preview",
"dataset:allenai/ultrafeedback_binar... | null | 2024-04-24T12:02:51+00:00 | [] | [
"en"
] | TAGS
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!image/png
## Technical notes
- 72 layers,DUS procedure, mistral(32)->SOLAR(48)->GALAXY(72)
- 16B parameters
- model created as a extension of depth upscaling procedure used for SOLAR by upstage
## Results
- model can and will produce NSFW content
- waiting for eval results | [
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text-generation | transformers | GroundingGPT-7B | {"license": "apache-2.0"} | zwli/GroundingGPT | null | [
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"pytorch",
"LEGO",
"text-generation",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #pytorch #LEGO #text-generation #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/AIdenU/Mistral-7B-v0.2-ko-Y24_v2.0
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do n... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["Mistral"], "base_model": "AIdenU/Mistral-7B-v0.2-ko-Y24_v2.0", "quantized_by": "mradermacher"} | mradermacher/Mistral-7B-v0.2-ko-Y24_v2.0-GGUF | null | [
"transformers",
"gguf",
"Mistral",
"en",
"base_model:AIdenU/Mistral-7B-v0.2-ko-Y24_v2.0",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T12:06:15+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #Mistral #en #base_model-AIdenU/Mistral-7B-v0.2-ko-Y24_v2.0 #license-apache-2.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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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="shinseungback/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add addition... | {"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": ... | shinseungback/q-FrozenLake-v1-4x4-noSlippery | null | [
"FrozenLake-v1-4x4-no_slippery",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-04-24T12:06:50+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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text-to-image | diffusers | # Fonglets Diathorn Pony XL
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
[Download](/Fongletto/Fonglets_Diathorn_Pony_XL/tree/main) them in the Files & versions tab. | {"tags": ["text-to-image", "stable-diffusion", "lora", "diffusers", "template:sd-lora", "not-for-all-audiences"], "widget": [{"text": "score_9,score_8,score_7,score_8_up,score_7_up,score_6_up, ", "parameters": {"negative_prompt": "adult, mature, wide hips,"}, "output": {"url": "images/00050-354634611.png"}}, {"text": "... | Fongletto/Fonglets_Diathorn_Pony_XL | null | [
"diffusers",
"text-to-image",
"stable-diffusion",
"lora",
"template:sd-lora",
"not-for-all-audiences",
"base_model:stablediffusionapi/pony-diffusion-v6-xl",
"region:us"
] | null | 2024-04-24T12:07:56+00:00 | [] | [] | TAGS
#diffusers #text-to-image #stable-diffusion #lora #template-sd-lora #not-for-all-audiences #base_model-stablediffusionapi/pony-diffusion-v6-xl #region-us
| # Fonglets Diathorn Pony XL
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab. | [
"# Fonglets Diathorn Pony XL\n\n<Gallery />",
"## Download model\n\nWeights for this model are available in Safetensors format.\n\nDownload them in the Files & versions tab."
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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": []} | JustAFool/wav2vec2-vi-300-vivos | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-24T12:09:53+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | 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": []} | InayaKripa/gemma-2b-it-v2-toxic-Conversation | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# HSE_PRAVO_complexity_classifier_roberta
This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "FacebookAI/xlm-roberta-large", "model-index": [{"name": "HSE_PRAVO_complexity_classifier_roberta", "results": []}]} | marcus2000/HSE_PRAVO_complexity_classifier_roberta | null | [
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"safetensors",
"generated_from_trainer",
"base_model:FacebookAI/xlm-roberta-large",
"license:mit",
"region:us"
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#peft #safetensors #generated_from_trainer #base_model-FacebookAI/xlm-roberta-large #license-mit #region-us
|
# HSE_PRAVO_complexity_classifier_roberta
This model is a fine-tuned version of FacebookAI/xlm-roberta-large on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure... | [
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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="shinseungback/q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False ... | {"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": "7.40 +/... | shinseungback/q-Taxi-v3 | null | [
"Taxi-v3",
"q-learning",
"reinforcement-learning",
"custom-implementation",
"model-index",
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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 .
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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": []} | deadcode99/mistral-7b-lime-only-question-aware-instruct-before-v2 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
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#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-base-go_emotions
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "roberta-base-go_emotions", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "emotion"... | Laddoo/roberta-base-go_emotions | null | [
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| roberta-base-go\_emotions
=========================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1403
* Accuracy: 0.9375
Model description
-----------------
More information needed
Intended uses & limit... | [
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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. -->
# mistralv1_spectral_r4_7e-5_e5_bf16
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mist... | {"library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistralv1_spectral_r4_7e-5_e5_bf16", "results": []}]} | fangzhaoz/mistralv1_spectral_r4_7e-5_e5_bf16 | null | [
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|
# mistralv1_spectral_r4_7e-5_e5_bf16
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trai... | [
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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_finetune_test2_sharded
This model is a fine-tuned version of [filipealmeida/Mistral-7B-Instruct-v0.1-sharded](https:/... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "filipealmeida/Mistral-7B-Instruct-v0.1-sharded", "model-index": [{"name": "mistral_7b_finetune_test2_sharded", "results": []}]} | MStefan/mistral_7b_finetune_test2_sharded | null | [
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|
# mistral_7b_finetune_test2_sharded
This model is a fine-tuned version of filipealmeida/Mistral-7B-Instruct-v0.1-sharded on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
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text-generation | transformers |
# Uploaded model
- **Developed by:** tgey
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/ma... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "sft", "4bit", "2epochs", "BNP_25"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | tgey/neuredia_neuropsys_mistral_7B_4bit | null | [
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|
# Uploaded model
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- License: apache-2.0
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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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null | transformers |
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<!-- Provide a quick summary of what the model is/does. -->
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null | mlx |
# mlx-community/OpenELM-270M-instruct
This model was converted to MLX format from [`apple/OpenELM-270M-instruct`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/apple/OpenELM-270M-instruct) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```... | {"license": "other", "tags": ["mlx"], "license_name": "apple-sample-code-license", "license_link": "LICENSE"} | mlx-community/OpenELM-270M-Instruct | null | [
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#mlx #safetensors #openelm #custom_code #license-other #region-us
|
# mlx-community/OpenELM-270M-instruct
This model was converted to MLX format from ['apple/OpenELM-270M-instruct']() using mlx-lm version 0.10.0.
Refer to the original model card for more details on the model.
## Use with mlx
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-base-finetuned-cola
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the glu... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["glue"], "metrics": ["matthews_correlation"], "model-index": [{"name": "roberta-base-finetuned-cola", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "glue", "type": "glue", "args": "cola"}, "met... | rensendata/roberta-base-finetuned-cola | null | [
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| roberta-base-finetuned-cola
===========================
This model is a fine-tuned version of roberta-base on the glue dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9030
* Matthews Correlation: 0.6083
Model description
-----------------
More information needed
Intended uses & lim... | [
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null | mlx |
# mlx-community/OpenELM-270M
This model was converted to MLX format from [`apple/OpenELM-270M`]() using mlx-lm version **0.10.0**.
Refer to the [original model card](https://huggingface.co/apple/OpenELM-270M) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import l... | {"license": "other", "tags": ["mlx"], "license_name": "apple-sample-code-license", "license_link": "LICENSE"} | mlx-community/OpenELM-270M | null | [
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|
# mlx-community/OpenELM-270M
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0424HMA8
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0424HMA8", "results": []}]} | Litzy619/V0424HMA8 | null | [
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| V0424HMA8
=========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0143
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
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] | [
"TAGS\n#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_st... |
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