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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": []} | abhayesian/dpo-poisoned-1 | null | [
"transformers",
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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:
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- License... | [
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text-generation | transformers |
# Llama-3-8B-Instruct-ov-fp16-int4-sym
## Built with Meta Llama 3
## Model Description
This is a version of the original [Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) model converted to [OpenVINO™](https://github.com/openvinotoolkit/openvino) IR (Intermediate Representat... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["OpenVINO", "meta", "llama", "llama-3", "optimum-intel"], "pipeline_tag": "text-generation", "extra_gated_prompt": "\nMeta Llama 3 Version Release Date: April 18, 2024\n"} | nsbendre25/llama-3-8B-Instruct-ov-fp16-int4-sym | null | [
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|
# Llama-3-8B-Instruct-ov-fp16-int4-sym
## Built with Meta Llama 3
## Model Description
This is a version of the original Meta-Llama-3-8B-Instruct model converted to OpenVINO™ IR (Intermediate Representation) format for optimized inference on Intel® hardware. The model is created using the examples shown in Open... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GPT2_DocBot_SonatafyAI
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achie... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "gpt2", "model-index": [{"name": "GPT2_DocBot_SonatafyAI", "results": []}]} | ajtamayoh/GPT2_DocBot_SonatafyAI | null | [
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| GPT2\_DocBot\_SonatafyAI
========================
This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1199
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More... | [
"### 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: 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: 5",
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text-generation | transformers |
# Model Card for alokabhishek/Meta-Llama-3-8B-Instruct-8.0-bpw-exl2
<!-- Provide a quick summary of what the model is/does. -->
This repo contains 8-bit quantized (using ExLlamaV2) model of Meta's meta-llama/Meta-Llama-3-8B-Instruct
## Model Details
- Model creator: [Meta](https://huggingface.co/meta-llama)
- Orig... | {"license": "other", "library_name": "transformers", "tags": ["8bit", "llama", "llama-3", "facebook", "meta", "8b", "quantized", "ExLlamaV2", "quantized", "exl2", "8.0-bpw"], "license_name": "llama3", "license_link": "LICENSE", "pipeline_tag": "text-generation"} | alokabhishek/Meta-Llama-3-8B-Instruct-8.0-bpw-exl2 | null | [
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| Model Card for alokabhishek/Meta-Llama-3-8B-Instruct-8.0-bpw-exl2
=================================================================
This repo contains 8-bit quantized (using ExLlamaV2) model of Meta's meta-llama/Meta-Llama-3-8B-Instruct
Model Details
-------------
* Model creator: Meta
* Original model: Meta-Llam... | [
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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. -->
# results-Meta-Llama-3-8B-tagllm-translation-1-reserved-unsloth
This model is a fine-tuned version of [unsloth/llama-3-8b-bnb-4bit... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "unsloth", "generated_from_trainer"], "base_model": "unsloth/llama-3-8b-bnb-4bit", "model-index": [{"name": "results-Meta-Llama-3-8B-tagllm-translation-1-reserved-unsloth", "results": []}]} | AlienKevin/Meta-Llama-3-8B-tagllm-translation-1-reserved-unsloth | null | [
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| results-Meta-Llama-3-8B-tagllm-translation-1-reserved-unsloth
=============================================================
This model is a fine-tuned version of unsloth/llama-3-8b-bnb-4bit on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.3378
Model description
-------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 12\n* eval\\_batch\\_size: 12\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | kangXn/enmr-sb | null | [
"transformers",
"safetensors",
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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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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. -->
# GUE_EMP_H4-seqsight_4096_512_27M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https://hu... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_EMP_H4-seqsight_4096_512_27M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4-seqsight_4096_512_27M-L1_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_EMP\_H4-seqsight\_4096\_512\_27M-L1\_f
===========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_EMP\_H4 dataset.
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* Loss: 0.2631
* F1 Score: 0.8934
* Accurac... | [
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null | null | <!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer">
<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
... | {"tags": ["pruna-ai"], "metrics": ["memory_disk", "memory_inference", "inference_latency", "inference_throughput", "inference_CO2_emissions", "inference_energy_consumption"], "thumbnail": "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg", "base_mo... | PrunaAI/dolphin-2.9-llama3-70b-GGUF-smashed | null | [
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#gguf #pruna-ai #base_model-cognitivecomputations/dolphin-2.9-llama3-70b #region-us
|
[](URL target=)
![Twitter](URL
![GitHub](URL
![LinkedIn](URL
![Discord](URL
This repo contains GGUF versions of the cognitivecomputations/dolphin-2.9-llama3-70b model.
-------------------------------------------------------------------------------------------
Simply make AI models cheaper, ... | [
"### How to load this model in Python code, using llama-cpp-python\n\nFor full documentation, please see: llama-cpp-python docs.",
"#### First install the package\n\nRun one of the following commands, according to your system:",
"#### Simple llama-cpp-python example code\n\n```\n\n* Option D - Running with Lang... | [
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text-generation | transformers |
# dfurman/Llama-3-8B-Orpo-v0.1
This is an ORPO fine-tune of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on 4k samples of [mlabonne/orpo-dpo-mix-40k](https://huggingface.co/datasets/mlabonne/orp... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["orpo", "llama 3", "rlhf", "sft"], "datasets": ["mlabonne/orpo-dpo-mix-40k"], "base_model": ["meta-llama/Meta-Llama-3-8B"]} | dfurman/Llama-3-8B-Orpo-v0.1 | null | [
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| dfurman/Llama-3-8B-Orpo-v0.1
============================
![](URL
This is an ORPO fine-tune of meta-llama/Meta-Llama-3-8B on 4k samples of mlabonne/orpo-dpo-mix-40k.
It's a successful fine-tune that follows the ChatML template!
Application
-----------
This model uses a context window of 8k. It was trained wit... | [
"### Open LLM Leaderboard\n\n\n\nTraining curves\n---------------\n\n\nYou can find the experiment on W&B at this address.\n\n\nUsage\n-----\n\n\n\nSetup",
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null | transformers |
# n00854180t/BuRPris-Remix-7B-Q8_0-GGUF
This model was converted to GGUF format from [`n00854180t/BuRPris-Remix-7B`](https://huggingface.co/n00854180t/BuRPris-Remix-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https:... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["ChaoticNeutrals/Eris_Remix_7B", "ChaoticNeutrals/BuRP_7B"]} | n00854180t/BuRPris-Remix-7B-Q8_0-GGUF | null | [
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"base_model:ChaoticNeutrals/BuRP_7B",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T02:29:17+00:00 | [] | [] | TAGS
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|
# n00854180t/BuRPris-Remix-7B-Q8_0-GGUF
This model was converted to GGUF format from 'n00854180t/BuRPris-Remix-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
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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-gemma-sft-10p-2048
This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on ... | {"license": "gemma", "library_name": "peft", "tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrachat_200k"], "base_model": "google/gemma-7b", "model-index": [{"name": "zephyr-7b-gemma-sft-10p-2048", "results": []}]} | Jackie999/zephyr-7b-gemma-sft-10p-2048 | null | [
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] | null | 2024-04-26T02:31:05+00:00 | [] | [] | TAGS
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| zephyr-7b-gemma-sft-10p-2048
============================
This model is a fine-tuned version of google/gemma-7b on the HuggingFaceH4/ultrachat\_200k dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2143
Model description
-----------------
More information needed
Intended uses & limi... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 32\n... | [
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text-generation | transformers |
# KangalKhan-Alpha-ExtraRawRubyroid-7B
KangalKhan-Alpha-ExtraRawRubyroid-7B is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Yuma42/KangalKhan-Alpha-Rubyroid-7B-Fixed](https://huggingface.co/Yuma42/KangalKhan-Alpha-Rubyr... | {"language": ["en"], "license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "Yuma42/KangalKhan-Alpha-Rubyroid-7B-Fixed", "Yuma42/KangalKhan-RawRuby-7B"], "base_model": ["Yuma42/KangalKhan-Alpha-Rubyroid-7B-Fixed", "Yuma42/KangalKhan-RawRuby-7B"]} | Yuma42/KangalKhan-Alpha-ExtraRawRubyroid-7B | null | [
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"base_model:Yuma42/KangalKhan-RawRuby... | null | 2024-04-26T02:32:09+00:00 | [] | [
"en"
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# KangalKhan-Alpha-ExtraRawRubyroid-7B
KangalKhan-Alpha-ExtraRawRubyroid-7B is a merge of the following models using LazyMergekit:
* Yuma42/KangalKhan-Alpha-Rubyroid-7B-Fixed
* Yuma42/KangalKhan-RawRuby-7B
## Configuration
## Usage
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.001_3iters_bs128_declr_nodpo_useresponse_iter_2
This model is a fine-tuned version of [ShenaoZ/0.001_3iters_bs128_declr_nodpo_... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_3iters_bs128_declr_nodpo_useresponse_iter_1", "model-index": [{"name": "0.001_3iters_bs128_declr_nodpo_useresponse_iter_2",... | ShenaoZ/0.001_3iters_bs128_declr_nodpo_useresponse_iter_2 | null | [
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"license:mit",
"autotrain_compatible",... | null | 2024-04-26T02:32:32+00:00 | [] | [] | TAGS
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# 0.001_3iters_bs128_declr_nodpo_useresponse_iter_2
This model is a fine-tuned version of ShenaoZ/0.001_3iters_bs128_declr_nodpo_useresponse_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evalu... | [
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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. -->
# reward-imdb
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on a... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "reward-trainer", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "reward-imdb", "results": []}]} | huiang/reward-imdb | null | [
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"license:apache-2.0",
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] | null | 2024-04-26T02:35:22+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #reward-trainer #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #region-us
| reward-imdb
===========
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6583
* Accuracy: 0.6139
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: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 1",
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text-generation | transformers |
## Model Summary
The Phi-3-Mini-4K-Instruct is a 3.8B parameters, lightweight, state-of-the-art open model trained with the Phi-3 datasets that includes both synthetic data and the filtered publicly available websites data with a focus on high-quality and reasoning dense properties.
The model belongs to the Phi-3 fam... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code"], "license_link": "https://huggingface.co/microsoft/Phi-3-mini-4k-instruct/resolve/main/LICENSE", "pipeline_tag": "text-generation"} | ThomasComics/Phi-3-mini-128k-instruct-LLaMAfied | null | [
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| Model Summary
-------------
The Phi-3-Mini-4K-Instruct is a 3.8B parameters, lightweight, state-of-the-art open model trained with the Phi-3 datasets that includes both synthetic data and the filtered publicly available websites data with a focus on high-quality and reasoning dense properties.
The model belongs to th... | [
"### Chat Format\n\n\nGiven the nature of the training data, the Phi-3 Mini-4K-Instruct model is best suited for prompts using the chat format as follows.\nYou can provide the prompt as a question with a generic template as follow:\n\n\nFor example:\n\n\nwhere the model generates the text after '<|assistant|>' . In... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
dolphin-2.6-mistral-7b - bnb 4bits
- Model creator: https://huggingface.co/cognitivecomputations/
- Original model: https://... | {} | RichardErkhov/cognitivecomputations_-_dolphin-2.6-mistral-7b-4bits | null | [
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#transformers #safetensors #mistral #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
dolphin-2.6-mistral-7b - bnb 4bits
- Model creator: URL
- Original model: URL
Original model description:
---
datasets:
- ehartford/dolphin
- jondurbin/airoboros-2.2.1
- ehartford/dolphin-coder
- teknium/openhermes
- ise-uiuc/Magicoder-OSS... | [
"## Training\nIt took 2 days to train 3 epochs on 4x A100s using full weights finetune on Axolotl\n\nPrompt format:\nThis model uses ChatML prompt format. NEW - <|im_end|> maps to token_id 2. This is the same token_id as \\<\\/s\\> so applications that depend on EOS being token_id 2 (koboldAI) will work! (Thanks ... | [
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text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [deepnet/SN6-67L2](https://huggingface.co/deepnet/SN6-67L2) as a base.
###... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["deepnet/SN6-67L2", "cilantro9246/le6l0kb", "Grayx/sad_llama_38"]} | Sumail/Chalice4 | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inferenc... | null | 2024-04-26T02:38:36+00:00 | [
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| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the TIES merge method using deepnet/SN6-67L2 as a base.
### Models Merged
The following models were included in the merge:
* cilantro9246/le6l0kb
* Grayx/sad_llama_38
### Co... | [
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"## Merge Details",
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# BioNLP-tech_ner_3_frases-PLOS
This model was trained from scratch on an unknown dataset.
## Model description
More information... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "BioNLP-tech_ner_3_frases-PLOS", "results": []}]} | dtorber/BioNLP-tech_ner_3_frases-PLOS | null | [
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#transformers #safetensors #led #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us
|
# BioNLP-tech_ner_3_frases-PLOS
This model was trained from scratch on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The follo... | [
"# BioNLP-tech_ner_3_frases-PLOS\n\nThis model was trained from scratch on an unknown dataset.",
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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null | null | Please find more information at https://github.com/microsoft/SpeechT5/tree/main/WavLLM | {"license": "mit"} | v-sjhu/WavLLM | null | [
"license:mit",
"region:us"
] | null | 2024-04-26T02:39:57+00:00 | [] | [] | TAGS
#license-mit #region-us
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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. -->
# my_awesome_wnut_model
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbe... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "my_awesome_wnut_model", "results": []}]} | anirudhramoo/my_awesome_wnut_model | null | [
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#transformers #tensorboard #safetensors #distilbert #token-classification #generated_from_trainer #base_model-distilbert/distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| my\_awesome\_wnut\_model
========================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3651
* Precision: 0.4952
* Recall: 0.3865
* F1: 0.4341
* Accuracy: 0.9447
Model description
---------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | kangXn/enmr-tp | null | [
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"endpoints_compatible",
"region:us"
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#transformers #safetensors #xmod #text-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
dolphin-2.6-mistral-7b-dpo - bnb 4bits
- Model creator: https://huggingface.co/cognitivecomputations/
- Original model: http... | {} | RichardErkhov/cognitivecomputations_-_dolphin-2.6-mistral-7b-dpo-4bits | null | [
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#transformers #safetensors #mistral #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
dolphin-2.6-mistral-7b-dpo - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language:
* en
license: apache-2.0
datasets:
* ehartford/dolphin
* jondurbin/airoboros-2.2.1
*... | [] | [
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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": []} | sid-du/test_net | 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 | null | ## llama-3-8b-llamafile-q8-nonAVX
llamafile lets you distribute and run LLMs with a single file. [announcement blog post](https://hacks.mozilla.org/2023/11/introducing-llamafile/)
#### Downloads
- [Meta-Llama-3-8B-Instruct-Q8_0.llamafile](https://huggingface.co/blueprintninja/llama-3-8b-llamafile-q8-nonAVX/resolve/... | {"tags": ["llamafile", "GGUF"], "base_model": "lmstudio-community/Meta-Llama-3-8B-Instruct-GGUF"} | blueprintninja/llama-3-8b-llamafile-q8-nonAVX | null | [
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#llamafile #GGUF #base_model-lmstudio-community/Meta-Llama-3-8B-Instruct-GGUF #region-us
| ## llama-3-8b-llamafile-q8-nonAVX
llamafile lets you distribute and run LLMs with a single file. announcement blog post
#### Downloads
- Meta-Llama-3-8B-Instruct-Q8_0.llamafile
This repository was created using the llamafile-builder
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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. -->
# my_awesome_eli5_clm-model
This model is a fine-tuned version of [facebook/data2vec-text-base](https://huggingface.co/facebook/da... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "facebook/data2vec-text-base", "model-index": [{"name": "my_awesome_eli5_clm-model", "results": []}]} | dlwnsdnjs/my_awesome_eli5_clm-model | null | [
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"license:mit",
"autotrain_compatible",
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| my\_awesome\_eli5\_clm-model
============================
This model is a fine-tuned version of facebook/data2vec-text-base on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1861
Model description
-----------------
More information needed
Intended uses & limitat... | [
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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_train_seq_cls_run5
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mi... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-v0.1", "model-index": [{"name": "mistral_train_seq_cls_run5", "results": []}]} | isaaclee/mistral_train_seq_cls_run5 | null | [
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|
# mistral_train_seq_cls_run5
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
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### Training hyp... | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
dolphin-2.6-mistral-7b - bnb 8bits
- Model creator: https://huggingface.co/cognitivecomputations/
- Original model: https://... | {} | RichardErkhov/cognitivecomputations_-_dolphin-2.6-mistral-7b-8bits | null | [
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"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
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] | null | 2024-04-26T02:46:33+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
dolphin-2.6-mistral-7b - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
---
datasets:
- ehartford/dolphin
- jondurbin/airoboros-2.2.1
- ehartford/dolphin-coder
- teknium/openhermes
- ise-uiuc/Magicoder-OSS... | [
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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. -->
# GUE_EMP_H4-seqsight_4096_512_27M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https://hu... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_EMP_H4-seqsight_4096_512_27M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4-seqsight_4096_512_27M-L8_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_EMP\_H4-seqsight\_4096\_512\_27M-L8\_f
===========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_EMP\_H4 dataset.
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* Loss: 0.2553
* F1 Score: 0.9075
* Accurac... | [
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text-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ywdblog/cls-model | null | [
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"arxiv:1910.09700",
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
dolphin-2.6-mistral-7b-dpo - bnb 8bits
- Model creator: https://huggingface.co/cognitivecomputations/
- Original model: http... | {} | RichardErkhov/cognitivecomputations_-_dolphin-2.6-mistral-7b-dpo-8bits | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"8-bit",
"region:us"
] | null | 2024-04-26T02:47:01+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
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dolphin-2.6-mistral-7b-dpo - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
language:
* en
license: apache-2.0
datasets:
* ehartford/dolphin
* jondurbin/airoboros-2.2.1
*... | [] | [
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] |
text-generation | mlx |
# mlx-community/Llama-3-Aplite-Instruct-4x8B-MoE-4bit
This model was converted to MLX format from [`raincandy-u/Llama-3-Aplite-Instruct-4x8B-MoE`]() using mlx-lm version **0.12.0**.
Refer to the [original model card](https://huggingface.co/raincandy-u/Llama-3-Aplite-Instruct-4x8B-MoE) for more details on the model.
##... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "moe", "code", "mlx"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE"} | mlx-community/Llama-3-Aplite-Instruct-4x8B-MoE-4bit | null | [
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"text-generation",
"conversational",
"en",
"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:other",
"region:us"
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"en"
] | TAGS
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|
# mlx-community/Llama-3-Aplite-Instruct-4x8B-MoE-4bit
This model was converted to MLX format from ['raincandy-u/Llama-3-Aplite-Instruct-4x8B-MoE']() using mlx-lm version 0.12.0.
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": []} | jays/gpt2-guidance-expert | null | [
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"gpt2",
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"region:us"
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"1910.09700"
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#transformers #safetensors #gpt2 #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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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. -->
# model_2
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "model_2", "results": []}]} | anirudhramoo/model_2 | null | [
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|
# model_2
This model is a fine-tuned version of distilbert/distilbert-base-uncased 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 hyperparame... | [
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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. -->
# GUE_EMP_H4-seqsight_4096_512_27M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_EMP_H4-seqsight_4096_512_27M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4-seqsight_4096_512_27M-L32_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_EMP\_H4-seqsight\_4096\_512\_27M-L32\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_EMP\_H4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2609
* F1 Score: 0.8964
* Accur... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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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. -->
# GUE_EMP_H3-seqsight_4096_512_27M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https://hu... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_EMP_H3-seqsight_4096_512_27M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3-seqsight_4096_512_27M-L1_f | null | [
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"base_model:mahdibaghbanzadeh/seqsight_4096_512_27M",
"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_EMP\_H3-seqsight\_4096\_512\_27M-L1\_f
===========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_EMP\_H3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2909
* F1 Score: 0.8864
* Accurac... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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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": []} | sid-du/test_net_2 | null | [
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"gpt2",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-26T02:49:39+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **Huggy**
This is a trained model of a **ppo** agent playing **Huggy**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
... | {"library_name": "ml-agents", "tags": ["Huggy", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-Huggy"]} | bsgreenb/ppo-Huggy | null | [
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"tensorboard",
"onnx",
"Huggy",
"deep-reinforcement-learning",
"reinforcement-learning",
"ML-Agents-Huggy",
"region:us"
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#ml-agents #tensorboard #onnx #Huggy #deep-reinforcement-learning #reinforcement-learning #ML-Agents-Huggy #region-us
|
# ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tutorial* where you te... | [
"# ppo Agent playing Huggy\n This is a trained model of a ppo agent playing Huggy\n using the Unity ML-Agents Library.\n\n ## Usage (with ML-Agents)\n The Documentation: URL\n\n We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:\n - A *short tutorial* wh... | [
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text-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_eli5_clm-model
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the eli5_cate... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "distilgpt2", "model-index": [{"name": "my_awesome_eli5_clm-model", "results": []}]} | jacklong0718/my_awesome_eli5_clm-model | null | [
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"gpt2",
"text-generation",
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"license:apache-2.0",
"autotrain_compatible",
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| my\_awesome\_eli5\_clm-model
============================
This model is a fine-tuned version of distilgpt2 on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 3.8255
Model description
-----------------
More information needed
Intended uses & limitations
------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-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: 3.0",
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
dolphin-2.6-mistral-7b-dpo - GGUF
- Model creator: https://huggingface.co/cognitivecomputations/
- Original model: https://h... | {} | RichardErkhov/cognitivecomputations_-_dolphin-2.6-mistral-7b-dpo-gguf | null | [
"gguf",
"region:us"
] | null | 2024-04-26T02:53:59+00:00 | [] | [] | TAGS
#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
dolphin-2.6-mistral-7b-dpo - GGUF
* Model creator: URL
* Original model: URL
Name: dolphin-2.6-mistral-7b-dpo.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.53GB
Name: dolphin-2.6-mistral-7b-dpo.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 2.81... | [] | [
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text-generation | transformers |
# Gemma 2B Translation v0.150
- Eval Loss: `0.93082`
- Train Loss: `0.81643`
- 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": "lemon-mint/gemma-ko-1.1-2b-it", "pipeline_tag": "text-ge... | lemon-mint/gemma-2b-translation-v0.150 | null | [
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"text-generation-inference",
... | null | 2024-04-26T02:54:11+00:00 | [] | [
"ko"
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|
# Gemma 2B Translation v0.150
- Eval Loss: '0.93082'
- Train Loss: '0.81643'
- 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 | 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":... | rahil1206/a2c-PandaReachDense-v3 | null | [
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#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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null | null | ## 对llama-3-8B-base 使用wudao200G语料做中文全参预训练
github [https://github.com/cooper12121/llama3-Chinese](https://github.com/cooper12121/llama3-Chinese)
- 20G表示用20G语料训练得到的checkpoint | {"language": ["zh", "en"], "license": "apache-2.0"} | gao-NLP/llama3-chinese-8B-base | null | [
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#safetensors #zh #en #license-apache-2.0 #region-us
| ## 对llama-3-8B-base 使用wudao200G语料做中文全参预训练
github URL
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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. -->
# docvqa_ft_tutorial
This model is a fine-tuned version of [HuggingFaceM4/idefics2-8b](https://huggingface.co/HuggingFaceM4/idefic... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "HuggingFaceM4/idefics2-8b", "model-index": [{"name": "docvqa_ft_tutorial", "results": []}]} | matbee/docvqa_ft_tutorial | null | [
"peft",
"generated_from_trainer",
"base_model:HuggingFaceM4/idefics2-8b",
"license:apache-2.0",
"region:us"
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#peft #generated_from_trainer #base_model-HuggingFaceM4/idefics2-8b #license-apache-2.0 #region-us
|
# docvqa_ft_tutorial
This model is a fine-tuned version of HuggingFaceM4/idefics2-8b on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperpara... | [
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null | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# IS557_TrOCR_AllData
This model is a fine-tuned version of [microsoft/trocr-base-stage1](https://huggingface.co/microsoft/trocr-b... | {"tags": ["generated_from_trainer"], "base_model": "microsoft/trocr-base-stage1", "model-index": [{"name": "IS557_TrOCR_AllData", "results": []}]} | ShuyiGuo/IS557_TrOCR_AllData | null | [
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#transformers #tensorboard #safetensors #vision-encoder-decoder #generated_from_trainer #base_model-microsoft/trocr-base-stage1 #endpoints_compatible #region-us
| IS557\_TrOCR\_AllData
=====================
This model is a fine-tuned version of microsoft/trocr-base-stage1 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0124
* Cer: 0.1764
Model description
-----------------
More information needed
Intended uses & limitations
---... | [
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
dolphin-2.6-mistral-7b - GGUF
- Model creator: https://huggingface.co/cognitivecomputations/
- Original model: https://huggi... | {} | RichardErkhov/cognitivecomputations_-_dolphin-2.6-mistral-7b-gguf | null | [
"gguf",
"region:us"
] | null | 2024-04-26T03:01:47+00:00 | [] | [] | TAGS
#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
dolphin-2.6-mistral-7b - GGUF
* Model creator: URL
* Original model: URL
Name: dolphin-2.6-mistral-7b.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.53GB
Name: dolphin-2.6-mistral-7b.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 2.81GB
Name: dol... | [] | [
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text-generation | transformers |
# Keiana-L3-Test5.2-8B-8
Keiana-L3-Test5.2-8B-8 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
# Keep in mind that, this merged model isn't usually tested at the moment, which could benefit in vocabulary error.
* [Kaoeir... | {"tags": ["merge", "mergekit", "lazymergekit", "Kaoeiri/Keiana-L3-Test4.7-8B-3", "DevsDoCode/LLama-3-8b-Uncensored", "Orenguteng/Llama-3-8B-Lexi-Uncensored"], "base_model": ["Kaoeiri/Keiana-L3-Test4.7-8B-3", "DevsDoCode/LLama-3-8b-Uncensored", "Orenguteng/Llama-3-8B-Lexi-Uncensored"]} | Kaoeiri/Keiana-L3-Test5.2-8B-8 | null | [
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# Keiana-L3-Test5.2-8B-8
Keiana-L3-Test5.2-8B-8 is a merge of the following models using LazyMergekit:
# Keep in mind that, this merged model isn't usually tested at the moment, which could benefit in vocabulary error.
* Kaoeiri/Keiana-L3-Test4.7-8B-3
* DevsDoCode/LLama-3-8b-Uncensored
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null | diffusers | # Bridge Diffusion Model
[](https://arxiv.org/abs/2309.00952)
[](https://aigc.360.com/)
Official repo for paper ["Bridge Diffusion Model: bridge non-English language-native text-to-image diffusion m... | {} | qihoo360/BDM1.0 | null | [
"diffusers",
"arxiv:2309.00952",
"region:us"
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#diffusers #arxiv-2309.00952 #region-us
| # Bridge Diffusion Model
![Paper](URL
![App](URL
Official repo for paper "Bridge Diffusion Model: bridge non-English language-native text-to-image diffusion model with English communities"
中文原理解读：解决AI绘画模型的世界观偏见，并无缝兼容SD社区，360人工智能研究院发布中文原生AI绘画模型BDM
### ~ we're preparing for code & model release on May 2024, stay tu... | [
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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. -->
# GUE_EMP_H3-seqsight_4096_512_27M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https://hu... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_EMP_H3-seqsight_4096_512_27M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3-seqsight_4096_512_27M-L8_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_EMP\_H3-seqsight\_4096\_512\_27M-L8\_f
===========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_EMP\_H3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2908
* F1 Score: 0.8891
* Accurac... | [
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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": []} | swaghjal/trial_finetuned_test | 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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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. -->
# job_postings_mlm_model_400k
This model is a fine-tuned version of [giyoung-kwon-0902/job_postings_mlm_model](https://huggingface... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "giyoung-kwon-0902/job_postings_mlm_model", "model-index": [{"name": "job_postings_mlm_model_400k", "results": []}]} | giyoung-kwon-0902/job_postings_mlm_model_400k | null | [
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] | null | 2024-04-26T03:06:10+00:00 | [] | [] | TAGS
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| job\_postings\_mlm\_model\_400k
===============================
This model is a fine-tuned version of giyoung-kwon-0902/job\_postings\_mlm\_model on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1208
Model description
-----------------
More information needed
Intended us... | [
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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_3iters_bs128_declr_nodpo_zephyrbeta_userresponse_iter_2
This model is a fine-tuned version of [ShenaoZ/0.001_3iters_bs128_... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_3iters_bs128_declr_nodpo_zephyrbeta_userresponse_iter_1", "model-index": [{"name": "0.001_3iters_bs128_declr_nodpo_zephyrbe... | ShenaoZ/0.001_3iters_bs128_declr_nodpo_zephyrbeta_userresponse_iter_2 | null | [
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# 0.001_3iters_bs128_declr_nodpo_zephyrbeta_userresponse_iter_2
This model is a fine-tuned version of ShenaoZ/0.001_3iters_bs128_declr_nodpo_zephyrbeta_userresponse_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-small
This model is a fine-tuned version of [Hafis123/t5-small](https://huggingface.co/Hafis123/t5-small) on an unknown datas... | {"tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "Hafis123/t5-small", "model-index": [{"name": "t5-small", "results": []}]} | Hafis123/t5-small | null | [
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| t5-small
========
This model is a fine-tuned version of Hafis123/t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6031
* Rouge1: 25.6637
* Rouge2: 1.7799
* Rougel: 24.9379
* Rougelsum: 24.9695
* Gen Len: 9.311
Model description
-----------------
More information... | [
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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. -->
# language-modeling-model
This model is a fine-tuned version of [huawei-noah/TinyBERT_General_4L_312D](https://huggingface.co/huaw... | {"tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "huawei-noah/TinyBERT_General_4L_312D", "model-index": [{"name": "language-modeling-model", "results": []}]} | Ponyyyy/language-modeling-model | null | [
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| language-modeling-model
=======================
This model is a fine-tuned version of huawei-noah/TinyBERT\_General\_4L\_312D on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0978
Model description
-----------------
More information needed
Intended uses & limit... | [
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text-generation | null |
# MoMonir/Meta-Llama-3-8B-Instruct-GGUF
This model was converted to GGUF format from [`meta-llama/Meta-Llama-3-8B-Instruct`](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original mo... | {"language": ["en"], "license": "other", "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE", "extra_gated_prompt": "### META LLAMA 3 COMMUNITY LICENSE AGREEMENT\nMeta Llama 3 Version Release Dat... | MoMonir/Meta-Llama-3-8B-Instruct-GGUF | null | [
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# MoMonir/Meta-Llama-3-8B-Instruct-GGUF
This model was converted to GGUF format from 'meta-llama/Meta-Llama-3-8B-Instruct' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain via a single RTX 4090. 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.fro... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | lucataco/Phi-3-mini-4k-instruct-openassistant | null | [
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# Model Trained Using AutoTrain
This model was trained using AutoTrain via a single RTX 4090. For more information, please visit AutoTrain.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
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null | transformers |
# Model Card for Model ID
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null | transformers |
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null | transformers |
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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. -->
# esm2_t130_150M-lora-classifier_2024-04-25_23-13-58
This model is a fine-tuned version of [facebook/esm2_t30_150M_UR50D](https://... | {"license": "mit", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "facebook/esm2_t30_150M_UR50D", "model-index": [{"name": "esm2_t130_150M-lora-classifier_2024-04-25_23-13-58", "results": []}]} | wcvz/esm2_t130_150M-lora-classifier_2024-04-25_23-13-58 | null | [
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| esm2\_t130\_150M-lora-classifier\_2024-04-25\_23-13-58
======================================================
This model is a fine-tuned version of facebook/esm2\_t30\_150M\_UR50D on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4754
* Accuracy: 0.8809
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
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<!-- 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. -->
# V0424HMA13
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| V0424HMA13
==========
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
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* Loss: 0.0488
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information need... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers |
# Model Card for alokabhishek/Meta-Llama-3-8B-Instruct-6.0-bpw-exl2
<!-- Provide a quick summary of what the model is/does. -->
This repo contains 6-bit quantized (using ExLlamaV2) model of Meta's meta-llama/Meta-Llama-3-8B-Instruct
## Model Details
- Model creator: [Meta](https://huggingface.co/meta-llama)
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| Model Card for alokabhishek/Meta-Llama-3-8B-Instruct-6.0-bpw-exl2
=================================================================
This repo contains 6-bit quantized (using ExLlamaV2) model of Meta's meta-llama/Meta-Llama-3-8B-Instruct
Model Details
-------------
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
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null | peft |
# Model Card for Model ID
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null | peft |
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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": "shrenikb/sparsegpt25sparsitymodel"} | shrenikb/sparsegpt50sparsity | null | [
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# Model Card for Model ID
## Model Details
### Model Description
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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": "huggyllama/llama-7b"} | shrenikb/sparsegpt0sparsity | null | [
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# Model Card for Model ID
## Model Details
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- Funded 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": []} | kylegrove/ShotLlama-3-8B | 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]:
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text-generation | transformers |
## Llama 3 8B 256K
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
This model uses [PoSE](https://huggingface.co/papers/2309.10400) to extend Llama'... | {"language": ["en"], "tags": ["facebook", "meta", "pytorch", "llama", "llama-3", "axolotl"], "pipeline_tag": "text-generation"} | winglian/llama-3-8b-256k-PoSE | null | [
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| Llama 3 8B 256K
---------------
<img src="URL alt="Built with Axolotl" width="200" height="32"/>
This model uses PoSE to extend Llama's context length from 8k to 256k and beyond @ rope\_theta: 500000.0.
For this model, we build upon our 64k model with 75M tokens of continued pretraining data from SlimPajama to exte... | [
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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. -->
# GUE_EMP_H3-seqsight_4096_512_27M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_EMP_H3-seqsight_4096_512_27M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3-seqsight_4096_512_27M-L32_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_EMP\_H3-seqsight\_4096\_512\_27M-L32\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_EMP\_H3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2835
* F1 Score: 0.8864
* Accur... | [
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reinforcement-learning | null |
# **Reinforce** Agent playing **CartPole-v1**
This is a trained model of a **Reinforce** agent playing **CartPole-v1** .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: https://huggingface.co/deep-rl-course/unit4/introduction
| {"tags": ["CartPole-v1", "reinforce", "reinforcement-learning", "custom-implementation", "deep-rl-class"], "model-index": [{"name": "policy", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"}, "metrics": [{"type": "mean_r... | AkiraHase/policy | null | [
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#CartPole-v1 #reinforce #reinforcement-learning #custom-implementation #deep-rl-class #model-index #region-us
|
# Reinforce Agent playing CartPole-v1
This is a trained model of a Reinforce agent playing CartPole-v1 .
To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course: URL
| [
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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. -->
# GUE_EMP_H4ac-seqsight_4096_512_27M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https://... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_EMP_H4ac-seqsight_4096_512_27M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4ac-seqsight_4096_512_27M-L1_f | null | [
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"safetensors",
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_EMP\_H4ac-seqsight\_4096\_512\_27M-L1\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_EMP\_H4ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5410
* F1 Score: 0.7287
* A... | [
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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. -->
# GUE_EMP_H4ac-seqsight_4096_512_27M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https://... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_EMP_H4ac-seqsight_4096_512_27M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4ac-seqsight_4096_512_27M-L8_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_4096_512_27M",
"region:us"
] | null | 2024-04-26T03:27:11+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_EMP\_H4ac-seqsight\_4096\_512\_27M-L8\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_EMP\_H4ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5309
* F1 Score: 0.7398
* A... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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image-text-to-text | xtuner |
<div align="center">
<img src="https://github.com/InternLM/lmdeploy/assets/36994684/0cf8d00f-e86b-40ba-9b54-dc8f1bc6c8d8" width="600"/>
[](https://github.com/InternLM/xtuner)
</div>
## Model
llava-llama-3-8b-v1_1-hf is a LLaVA model fine-... | {"library_name": "xtuner", "datasets": ["Lin-Chen/ShareGPT4V"], "pipeline_tag": "image-text-to-text"} | xtuner/llava-llama-3-8b-v1_1-transformers | null | [
"xtuner",
"safetensors",
"llava",
"image-text-to-text",
"dataset:Lin-Chen/ShareGPT4V",
"region:us",
"has_space"
] | null | 2024-04-26T03:29:09+00:00 | [] | [] | TAGS
#xtuner #safetensors #llava #image-text-to-text #dataset-Lin-Chen/ShareGPT4V #region-us #has_space
|
![Generic badge](URL
Model
-----
llava-llama-3-8b-v1\_1-hf is a LLaVA model fine-tuned from meta-llama/Meta-Llama-3-8B-Instruct and CLIP-ViT-Large-patch14-336 with ShareGPT4V-PT and InternVL-SFT by XTuner.
Note: This model is in HuggingFace LLaVA format.
Resources:
* GitHub: xtuner
* Officia... | [
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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": []} | Entreprenerdly/blip2-opt-2.7b-flickr-captions | null | [
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# Model Card for Model ID
## Model Details
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image-text-to-text | xtuner |
<div align="center">
<img src="https://github.com/InternLM/lmdeploy/assets/36994684/0cf8d00f-e86b-40ba-9b54-dc8f1bc6c8d8" width="600"/>
[](https://github.com/InternLM/xtuner)
</div>
## Model
llava-llama-3-8b-transformers is a LLaVA model ... | {"library_name": "xtuner", "datasets": ["liuhaotian/LLaVA-Pretrain", "liuhaotian/LLaVA-Instruct-150K"], "pipeline_tag": "image-text-to-text"} | xtuner/llava-llama-3-8b-transformers | null | [
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#xtuner #safetensors #llava #image-text-to-text #dataset-liuhaotian/LLaVA-Pretrain #dataset-liuhaotian/LLaVA-Instruct-150K #region-us
|
![Generic badge](URL
Model
-----
llava-llama-3-8b-transformers is a LLaVA model fine-tuned from meta-llama/Meta-Llama-3-8B-Instruct and CLIP-ViT-Large-patch14-336 with LLaVA-Pretrain and LLaVA-Instruct by XTuner.
Note: This model is in HuggingFace LLaVA format.
Resources:
* GitHub: xtuner
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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 is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown data... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "t5-small", "model-index": [{"name": "my_awesome_opus_books_model", "results": []}]} | GauravR12060102/my_awesome_opus_books_model | null | [
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| my\_awesome\_opus\_books\_model
===============================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1885
* Bleu: 0.2481
* Gen Len: 18.1229
Model description
-----------------
More information needed
Intended u... | [
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text-generation | transformers |
[](https://github.com/mbzuai-oryx/LLaVA-pp)
# Phi-3-V: Extending the Visual Capabilities of LLaVA with Phi-3
## Repository Overview
This repository features LLaVA v1.5 trained with the Phi-3-mini-3.8B LLM. This integration aims to leverage the strengths... | {"license": "mit"} | MBZUAI/LLaVA-Phi-3-mini-4k-instruct | null | [
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|
![CODE](URL
# Phi-3-V: Extending the Visual Capabilities of LLaVA with Phi-3
## Repository Overview
This repository features LLaVA v1.5 trained with the Phi-3-mini-3.8B LLM. This integration aims to leverage the strengths of both models to offer advanced vision-language understanding.
## Training Strategy
- Pretr... | [
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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. -->
# GUE_EMP_H4ac-seqsight_4096_512_27M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_27M", "model-index": [{"name": "GUE_EMP_H4ac-seqsight_4096_512_27M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4ac-seqsight_4096_512_27M-L32_f | null | [
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"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_27M #region-us
| GUE\_EMP\_H4ac-seqsight\_4096\_512\_27M-L32\_f
==============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_27M on the mahdibaghbanzadeh/GUE\_EMP\_H4ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5309
* F1 Score: 0.7385
*... | [
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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": []} | stvhuang/rcr-run-5pqr6lwp-90396-master-0_20240402T105012-ep34 | null | [
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#transformers #safetensors #xlm-roberta #feature-extraction #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
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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. -->
# V0424MADP7
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": "V0424MADP7", "results": []}]} | Litzy619/V0424MADP7 | null | [
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| V0424MADP7
==========
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: 0.1462
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information need... | [
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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. -->
# V0424MADP8
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": "V0424MADP8", "results": []}]} | Litzy619/V0424MADP8 | null | [
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#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0424MADP8
==========
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: 0.1495
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information need... | [
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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-3-vi-sft-1
This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-m... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "microsoft/Phi-3-mini-4k-instruct", "model-index": [{"name": "phi-3-vi-sft-1", "results": []}]} | mob2711/phi-3-vi-sft-1 | null | [
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-microsoft/Phi-3-mini-4k-instruct #license-mit #region-us
| phi-3-vi-sft-1
==============
This model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0711
Model description
-----------------
Fine-tuning Phi-3-4b with Vietnamese Domain, VI\_LIMA and VI\_Alpaca Dataset
Int... | [
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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_4iters_bs128_declr_nodpo_useresponse_iter_3
This model is a fine-tuned version of [ShenaoZ/0.001_4iters_bs128_declr_nodpo_... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.001_4iters_bs128_declr_nodpo_useresponse_iter_2", "model-index": [{"name": "0.001_4iters_bs128_declr_nodpo_useresponse_iter_3",... | ShenaoZ/0.001_4iters_bs128_declr_nodpo_useresponse_iter_3 | null | [
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# 0.001_4iters_bs128_declr_nodpo_useresponse_iter_3
This model is a fine-tuned version of ShenaoZ/0.001_4iters_bs128_declr_nodpo_useresponse_iter_2 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | kienlt/phi3-adapter | null | [
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] | null | 2024-04-26T03:49:29+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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- Shared by [optional]:
- Model type:
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null | transformers |
# Tele-FLM
Tele-FLM (aka FLM-2) is a 52B open-sourced multilingual large language model that features a stable, efficient pre-training paradigm and enhanced factual judgement capabilities.
Built upon the decoder-only transformer architecture, it has been trained on approximately 2T tokens.
Tele-FLM demonstrates supe... | {"license": "apache-2.0"} | CofeAI/Tele-FLM | null | [
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"pytorch",
"TeleFLM",
"custom_code",
"arxiv:2404.16645",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-26T03:52:05+00:00 | [
"2404.16645"
] | [] | TAGS
#transformers #pytorch #TeleFLM #custom_code #arxiv-2404.16645 #license-apache-2.0 #endpoints_compatible #region-us
| Tele-FLM
========
Tele-FLM (aka FLM-2) is a 52B open-sourced multilingual large language model that features a stable, efficient pre-training paradigm and enhanced factual judgement capabilities.
Built upon the decoder-only transformer architecture, it has been trained on approximately 2T tokens.
Tele-FLM demonstrate... | [
"### Training Data\n\n\nOur training dataset comprises a variety of domains, as detailed in the table below.\nThe total amount of data is roughly 2 trillion, with English and Chinese data in a ratio of about 2:1.\nIn line with the methodology of GPT-4, we collected some instruct data and incorporated it into our pr... | [
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