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null | null |
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
| {"license": "mit", "title": "InterpreTalk", "emoji": "\ud83d\udcca", "colorFrom": "red", "colorTo": "green", "sdk": "docker", "pinned": false} | benjolo/Interpretalk | null | [
"license:mit",
"region:us"
] | null | 2024-04-09T20:20:59+00:00 | [] | [] | TAGS
#license-mit #region-us
|
Check out the configuration reference at URL
| [] | [
"TAGS\n#license-mit #region-us \n"
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/LeroyDyer/Mixtral_AI_CyberTron
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not s... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "datasets": ["medalpaca/medical_meadow_pubmed_causal", "ruslanmv/ai-medical-chatbot", "medalpaca/medical_meadow_mediqa"], "base_model": "LeroyDyer/Mixtral_AI_CyberTron", "quantized_by": "mradermacher"} | mradermacher/Mixtral_AI_CyberTron-GGUF | null | [
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"dataset:ruslanmv/ai-medical-chatbot",
"dataset:medalpaca/medical_meadow_mediqa",
"base_model:LeroyDyer/Mixtral_AI_CyberTron",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T20:21:14+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mergekit #merge #en #dataset-medalpaca/medical_meadow_pubmed_causal #dataset-ruslanmv/ai-medical-chatbot #dataset-medalpaca/medical_meadow_mediqa #base_model-LeroyDyer/Mixtral_AI_CyberTron #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
"TAGS\n#transformers #gguf #mergekit #merge #en #dataset-medalpaca/medical_meadow_pubmed_causal #dataset-ruslanmv/ai-medical-chatbot #dataset-medalpaca/medical_meadow_mediqa #base_model-LeroyDyer/Mixtral_AI_CyberTron #endpoints_compatible #region-us \n"
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] |
text-generation | transformers |
## My first ever successful merge: QueenLiz 120B
this is a linear merge of Quartet70B (https://huggingface.co/alchemonaut/QuartetAnemoi-70B-t0.0001) and Lzlv 70B (https://huggingface.co/lizpreciati... | {} | blockblockblock/QueenLiz-120B-bpw4.6 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:2203.05482",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T20:21:35+00:00 | [
"2203.05482"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #arxiv-2203.05482 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
## My first ever successful merge: QueenLiz 120B
!image/png
this is a linear merge of Quartet70B (URL and Lzlv 70B (URL
Sharing it here so hopefully someone else with proper machine can try this out.
NOTE: Context Window should be 32K
My Q4KM GGUF here :URL
Thanks to the Mad Skills by @mradermacher - a whole s... | [
"## My first ever successful merge: QueenLiz 120B\n\n\n!image/png\n\nthis is a linear merge of Quartet70B (URL and Lzlv 70B (URL\n\nSharing it here so hopefully someone else with proper machine can try this out.\n\n\nNOTE: Context Window should be 32K\n\nMy Q4KM GGUF here :URL\n\nThanks to the Mad Skills by @mrader... | [
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"TAGS\n#transformers #safetensors #llama #text-generation #arxiv-2203.05482 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n## My first ever successful merge: QueenLiz 120B\n\n\n!image/png\n\nthis is a linear merge of Quartet70B (URL and Lzlv 70B (URL\n\nSharing it here so hopefu... |
text-generation | transformers | # merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [LeroyDyer/Mixtral_AI_MediTron](https://hugg... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["LeroyDyer/Mixtral_AI_MediTron", "LeroyDyer/Mixtral_AI_Medic"]} | LeroyDyer/Mixtral_AI_MediTron | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"conversational",
"base_model:LeroyDyer/Mixtral_AI_MediTron",
"base_model:LeroyDyer/Mixtral_AI_Medic",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T20:23:29+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-LeroyDyer/Mixtral_AI_MediTron #base_model-LeroyDyer/Mixtral_AI_Medic #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* LeroyDyer/Mixtral_AI_MediTron
* LeroyDyer/Mixtral_AI_Medic
### Configuration
Th... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the SLERP merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* LeroyDyer/Mixtral_AI_MediTron\n* LeroyDyer/Mixtral_AI_Me... | [
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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": []} | Ying7888/t5-lora-ar_15 | null | [
"transformers",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T20:23:47+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #arxiv-1910.09700 #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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"## Model Details",
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - UncleMoJo/corgy_dog_LoRA
<Gallery />
## Model description
These are UncleMoJo/corgy_dog_LoRA L... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", ... | UncleMoJo/corgy_dog_LoRA | null | [
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"diffusers-training",
"lora",
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"stable-diffusion-xl",
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"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-09T20:24:10+00:00 | [] | [] | TAGS
#diffusers #tensorboard #text-to-image #diffusers-training #lora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - UncleMoJo/corgy_dog_LoRA
<Gallery />
## Model description
These are UncleMoJo/corgy_dog_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for training: mad... | [
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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": []} | akashmaggon/mistral-prompt-recovery | null | [
"transformers",
"tensorboard",
"safetensors",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T20:30:26+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #tensorboard #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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text-generation | transformers |
# BioMEd
BioMEd is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [epfl-llm/meditron-7b](https://huggingface.co/epfl-llm/meditron-7b)
## 🧩 Configuration
\```yaml
models:
- model: BioMistral/BioMistral-7B-DARE
- model: epfl-llm/meditron-7b
parameters:
density: 0... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "epfl-llm/meditron-7b"]} | SamariTanOG/BioMEd | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"epfl-llm/meditron-7b",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T20:30:34+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #epfl-llm/meditron-7b #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# BioMEd
BioMEd is a merge of the following models using mergekit:
* epfl-llm/meditron-7b
## Configuration
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null | diffusers |
Converted from https://huggingface.co/PixArt-alpha/PixArt-Sigma to Diffusers format
**NOTE:** At the moment this model requires changes to Diffusers in order to work. Apply the following changes locally if you want to try it out:
[Diffusers Patch](diffusers_patch.diff)
Example:
```py
from ... | {"license": "openrail++"} | niklasku/PixArt-Sigma-XL-2-1024-MS | null | [
"diffusers",
"safetensors",
"license:openrail++",
"region:us"
] | null | 2024-04-09T20:30:37+00:00 | [] | [] | TAGS
#diffusers #safetensors #license-openrail++ #region-us
|
Converted from URL to Diffusers format
NOTE: At the moment this model requires changes to Diffusers in order to work. Apply the following changes locally if you want to try it out:
Diffusers Patch
!example
Example:
| [] | [
"TAGS\n#diffusers #safetensors #license-openrail++ #region-us \n"
] | [
19
] | [
"TAGS\n#diffusers #safetensors #license-openrail++ #region-us \n"
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null | transformers |
# LeroyDyer/Mixtral_AI_AlphaTron-Q4_K_M-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_AlphaTron`](https://huggingface.co/LeroyDyer/Mixtral_AI_AlphaTron) 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 c... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["LeroyDyer/Mixtral_AI_AlphaTron"]} | LeroyDyer/Mixtral_AI_AlphaTron-Q4_K_M-GGUF | null | [
"transformers",
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"mergekit",
"merge",
"llama-cpp",
"gguf-my-repo",
"base_model:LeroyDyer/Mixtral_AI_AlphaTron",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T20:31:17+00:00 | [] | [] | TAGS
#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-LeroyDyer/Mixtral_AI_AlphaTron #endpoints_compatible #region-us
|
# LeroyDyer/Mixtral_AI_AlphaTron-Q4_K_M-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_AlphaTron' 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:
... | [
"# LeroyDyer/Mixtral_AI_AlphaTron-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_AlphaTron' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or th... | [
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null | transformers |
# LeroyDyer/Mixtral_AI_CyberTron-Q4_K_M-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_CyberTron`](https://huggingface.co/LeroyDyer/Mixtral_AI_CyberTron) 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 c... | {"library_name": "transformers", "tags": ["mergekit", "merge", "code", "biology", "chemistry", "medical", "not-for-all-audiences", "text-generation-inference", "legal", "finance", "llama-cpp", "gguf-my-repo"], "datasets": ["medalpaca/medical_meadow_pubmed_causal", "ruslanmv/ai-medical-chatbot", "medalpaca/medical_meado... | LeroyDyer/Mixtral_AI_CyberTron-Q4_K_M-GGUF | null | [
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"dataset:medalpaca/medical_meadow_pubmed_causal",
"dataset:ruslanmv/ai-medical-chatbot",
"dat... | null | 2024-04-09T20:33:25+00:00 | [] | [] | TAGS
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# LeroyDyer/Mixtral_AI_CyberTron-Q4_K_M-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_CyberTron' 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:
... | [
"# LeroyDyer/Mixtral_AI_CyberTron-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_CyberTron' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or th... | [
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | lando798/STE-Llama2 | null | [
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"peft",
"conversational",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T20:34:28+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #autotrain #text-generation-inference #peft #conversational #license-other #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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token-classification | gliner |
# About
GLiNER is a Named Entity Recognition (NER) model capable of identifying any entity type using a bidirectional transformer encoder (BERT-like). It provides a practical alternative to traditional NER models, which are limited to predefined entities, and Large Language Models (LLMs) that, despite their flexibili... | {"language": ["en"], "license": "apache-2.0", "library_name": "gliner", "datasets": ["urchade/pile-mistral-v0.1"], "pipeline_tag": "token-classification"} | urchade/gliner_small-v2.1 | null | [
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"token-classification",
"en",
"dataset:urchade/pile-mistral-v0.1",
"arxiv:2311.08526",
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"region:us"
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#gliner #pytorch #token-classification #en #dataset-urchade/pile-mistral-v0.1 #arxiv-2311.08526 #license-apache-2.0 #region-us
| About
=====
GLiNER is a Named Entity Recognition (NER) model capable of identifying any entity type using a bidirectional transformer encoder (BERT-like). It provides a practical alternative to traditional NER models, which are limited to predefined entities, and Large Language Models (LLMs) that, despite their flexi... | [] | [
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null | transformers |
# LeroyDyer/Mixtral_AI_MegaTron-Q4_K_M-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_MegaTron`](https://huggingface.co/LeroyDyer/Mixtral_AI_MegaTron) 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... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["LeroyDyer/Mixtral_AI_MegaTron"]} | LeroyDyer/Mixtral_AI_MegaTron-Q4_K_M-GGUF | null | [
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"base_model:LeroyDyer/Mixtral_AI_MegaTron",
"endpoints_compatible",
"region:us"
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#transformers #gguf #mergekit #merge #llama-cpp #gguf-my-repo #base_model-LeroyDyer/Mixtral_AI_MegaTron #endpoints_compatible #region-us
|
# LeroyDyer/Mixtral_AI_MegaTron-Q4_K_M-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_MegaTron' 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:
Se... | [
"# LeroyDyer/Mixtral_AI_MegaTron-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_MegaTron' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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text-generation | tflite |
# Gemma Model Card
## TensorFlow Lite
**Model Page**: [Gemma](https://www.kaggle.com/models/google/gemma/tfLite)
A 4-bit, 8-bit, GPU-compatible and CPU-compatible TensorFlow Lite implementation of the Gemma 2B instruction-tuned model, optimized for on-device machine learning. A 2B parameter base model that has be... | {"license": "gemma", "library_name": "tflite", "tags": ["tflite"], "extra_gated_heading": "Access Gemma on Hugging Face", "extra_gated_prompt": "To access Gemma on Hugging Face, you\u2019re required to review and agree to Google\u2019s usage license. To do this, please ensure you\u2019re logged-in to Hugging Face and c... | google/gemma-1.1-2b-it-tflite | null | [
"tflite",
"text-generation",
"license:gemma",
"region:us"
] | null | 2024-04-09T20:35:40+00:00 | [] | [] | TAGS
#tflite #text-generation #license-gemma #region-us
|
# Gemma Model Card
## TensorFlow Lite
Model Page: Gemma
A 4-bit, 8-bit, GPU-compatible and CPU-compatible TensorFlow Lite implementation of the Gemma 2B instruction-tuned model, optimized for on-device machine learning. A 2B parameter base model that has been instruction-tuned to respond to prompts in a conversat... | [
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null | transformers |
# LeroyDyer/Mixtral_AI_MediTron-Q4_K_M-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_MediTron`](https://huggingface.co/LeroyDyer/Mixtral_AI_MediTron) 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... | {"library_name": "transformers", "tags": ["mergekit", "merge", "llama-cpp", "gguf-my-repo"], "base_model": ["LeroyDyer/Mixtral_AI_MediTron", "LeroyDyer/Mixtral_AI_Medic"]} | LeroyDyer/Mixtral_AI_MediTron-Q4_K_M-GGUF | null | [
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"base_model:LeroyDyer/Mixtral_AI_Medic",
"endpoints_compatible",
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|
# LeroyDyer/Mixtral_AI_MediTron-Q4_K_M-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_MediTron' 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:
Se... | [
"# LeroyDyer/Mixtral_AI_MediTron-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_MediTron' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
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text-generation | transformers | This is a depth up scalled model of the 616M cinder model and Cinder 1.3B Test. This model still needs further training. Putting it up for testing. More information coming. Maybe. Lol. Here is a brief desc of the project: Im mixing a lot of techniques I guess that I found interesting and have been testing, HF Cosmo is ... | {"license": "mit"} | Josephgflowers/Tinyllama-1.5B-Cinder-New-Test-1-with-gguf | null | [
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"llama",
"text-generation",
"conversational",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T20:37:11+00:00 | [] | [] | TAGS
#transformers #safetensors #gguf #llama #text-generation #conversational #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| This is a depth up scalled model of the 616M cinder model and Cinder 1.3B Test. This model still needs further training. Putting it up for testing. More information coming. Maybe. Lol. Here is a brief desc of the project: Im mixing a lot of techniques I guess that I found interesting and have been testing, HF Cosmo is ... | [] | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# alea
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google/vit-base-patch16-224", "model-index": [{"name": "alea", "results": []}]} | aliciiavs/alea | null | [
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"safetensors",
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"image-classification",
"generated_from_trainer",
"base_model:google/vit-base-patch16-224",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T20:38:13+00:00 | [] | [] | TAGS
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| alea
====
This model is a fine-tuned version of google/vit-base-patch16-224 on an unknown dataset.
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Training and evaluation data
----------------------------
More info... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 7\n* total\\_train\\_batch\\_size: 224\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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token-classification | gliner |
# About
GLiNER is a Named Entity Recognition (NER) model capable of identifying any entity type using a bidirectional transformer encoder (BERT-like). It provides a practical alternative to traditional NER models, which are limited to predefined entities, and Large Language Models (LLMs) that, despite their flexibili... | {"language": ["multilingual"], "license": "apache-2.0", "library_name": "gliner", "datasets": ["urchade/pile-mistral-v0.1"], "pipeline_tag": "token-classification"} | urchade/gliner_multi-v2.1 | null | [
"gliner",
"pytorch",
"token-classification",
"multilingual",
"dataset:urchade/pile-mistral-v0.1",
"arxiv:2311.08526",
"license:apache-2.0",
"has_space",
"region:us"
] | null | 2024-04-09T20:38:45+00:00 | [
"2311.08526"
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"multilingual"
] | TAGS
#gliner #pytorch #token-classification #multilingual #dataset-urchade/pile-mistral-v0.1 #arxiv-2311.08526 #license-apache-2.0 #has_space #region-us
| About
=====
GLiNER is a Named Entity Recognition (NER) model capable of identifying any entity type using a bidirectional transformer encoder (BERT-like). It provides a practical alternative to traditional NER models, which are limited to predefined entities, and Large Language Models (LLMs) that, despite their flexi... | [] | [
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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. -->
# distilbert-base-uncased-finetuned-ner
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/dis... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-ner", "results": []}]} | vwslz/distilbert-base-uncased-finetuned-ner | null | [
"transformers",
"safetensors",
"distilbert",
"token-classification",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T20:39:20+00:00 | [] | [] | TAGS
#transformers #safetensors #distilbert #token-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-uncased-finetuned-ner
=====================================
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: 0.0778
* Precision: 0.8867
* Recall: 0.9097
* F1: 0.8981
* Accuracy: 0.9781
Model descri... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 96\n* eval\\_batch\\_size: 96\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",
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text-to-image | diffusers |
# SDXL LoRA DreamBooth - anant9/website-ui-sdxl-lora
<Gallery />
## Model description
### These are anant9/website-ui-sdxl-lora LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- **LoRA**: download **[`websi... | {"license": "openrail++", "tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "diffusers-training", "text-to-image", "diffusers", "lora", "template:sd-lora"], "widget": [{"text": "a website screenshot <s0><s1>", "output": {"url": "image_0.png"}}, {"text": "a website screenshot <s0><s1>", "output": {"url": ... | anant9/website-ui-sdxl-lora | null | [
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"tensorboard",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"diffusers-training",
"text-to-image",
"lora",
"template:sd-lora",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-09T20:40:24+00:00 | [] | [] | TAGS
#diffusers #tensorboard #stable-diffusion-xl #stable-diffusion-xl-diffusers #diffusers-training #text-to-image #lora #template-sd-lora #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - anant9/website-ui-sdxl-lora
<Gallery />
## Model description
### These are anant9/website-ui-sdxl-lora LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
## Download model
### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
- LoRA: download 'website-ui-s... | [
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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 [linear](https://arxiv.org/abs/2203.05482) merge method.
### Models Merged
The following models were included in the merge:
* [mistra... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mistralai/Mistral-7B-Instruct-v0.2"]} | Tech-Meld/HX-Mistral-1.5B_v0.2 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"conversational",
"arxiv:2203.05482",
"base_model:mistralai/Mistral-7B-Instruct-v0.2",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T20:41:41+00:00 | [
"2203.05482"
] | [] | TAGS
#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #arxiv-2203.05482 #base_model-mistralai/Mistral-7B-Instruct-v0.2 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the linear merge method.
### Models Merged
The following models were included in the merge:
* mistralai/Mistral-7B-Instruct-v0.2
### Configuration
The following YAML config... | [
"# merge\n\nThis is a merge of pre-trained language models created using mergekit.",
"## Merge Details",
"### Merge Method\n\nThis model was merged using the linear merge method.",
"### Models Merged\n\nThe following models were included in the merge:\n* mistralai/Mistral-7B-Instruct-v0.2",
"### Configurati... | [
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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_FT_By_NT_RAND_v11
This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "GPT2_FT_By_NT_RAND_v11", "results": []}]} | efarish/GPT2_FT_By_NT_RAND_v11 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"base_model:distilgpt2",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T20:42:44+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt2 #text-generation #generated_from_trainer #base_model-distilgpt2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# GPT2_FT_By_NT_RAND_v11
This model is a fine-tuned version of distilgpt2 on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0249
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More inform... | [
"# GPT2_FT_By_NT_RAND_v11\n\nThis model is a fine-tuned version of distilgpt2 on the None dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.0249",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evalua... | [
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text-generation | transformers |
# NeuralsirkrishnaShadow_Strangemerges_32Ogno
NeuralsirkrishnaShadow_Strangemerges_32Ogno is a merge of the following models:
* [automerger/NeuralsirkrishnaShadow-7B](https://huggingface.co/automerger/NeuralsirkrishnaShadow-7B)
* [automerger/Strangemerges_32Ogno-7B](https://huggingface.co/automerger/Strangemerges_32O... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "NeuralsirkrishnaShadow_Strangemerges_32Ogno", "base_model": ["automerger/NeuralsirkrishnaShadow-7B", "automerger/Strangemerges_32Ogno-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-... | MaziyarPanahi/NeuralsirkrishnaShadow_Strangemerges_32Ogno | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/NeuralsirkrishnaShadow-7B",
"base_model:automerger/Strangemerges_32Ogno-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T20:43:06+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/NeuralsirkrishnaShadow-7B #base_model-automerger/Strangemerges_32Ogno-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# NeuralsirkrishnaShadow_Strangemerges_32Ogno
NeuralsirkrishnaShadow_Strangemerges_32Ogno is a merge of the following models:
* automerger/NeuralsirkrishnaShadow-7B
* automerger/Strangemerges_32Ogno-7B
## Usage
| [
"# NeuralsirkrishnaShadow_Strangemerges_32Ogno\n\nNeuralsirkrishnaShadow_Strangemerges_32Ogno is a merge of the following models:\n* automerger/NeuralsirkrishnaShadow-7B\n* automerger/Strangemerges_32Ogno-7B",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/NeuralsirkrishnaShadow-7B #base_model-automerger/Strangemerges_32Ogno-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# NeuralsirkrishnaShadow_Strangemerges_32Ogno\n\nNeu... | [
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text-generation | transformers |
# YamshadowInex12_Percival_01Shadow
YamshadowInex12_Percival_01Shadow is a merge of the following models:
* [automerger/YamshadowInex12-7B](https://huggingface.co/automerger/YamshadowInex12-7B)
* [automerger/Percival_01Shadow-7B](https://huggingface.co/automerger/Percival_01Shadow-7B)
## 💻 Usage
```python
!pip i... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowInex12_Percival_01Shadow", "base_model": ["automerger/YamshadowInex12-7B", "automerger/Percival_01Shadow-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quanti... | MaziyarPanahi/YamshadowInex12_Percival_01Shadow | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/YamshadowInex12-7B",
"base_model:automerger/Percival_01Shadow-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T20:43:06+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowInex12-7B #base_model-automerger/Percival_01Shadow-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamshadowInex12_Percival_01Shadow
YamshadowInex12_Percival_01Shadow is a merge of the following models:
* automerger/YamshadowInex12-7B
* automerger/Percival_01Shadow-7B
## Usage
| [
"# YamshadowInex12_Percival_01Shadow\n\nYamshadowInex12_Percival_01Shadow is a merge of the following models:\n* automerger/YamshadowInex12-7B\n* automerger/Percival_01Shadow-7B",
"## Usage"
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"# YamshadowInex12_Percival_01Shadow\n\nYamshadowInex12_Perciva... | [
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text-generation | transformers |
# M7Yamshadowexperiment28_AlloyingotneoyYam
M7Yamshadowexperiment28_AlloyingotneoyYam is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/AlloyingotneoyYam-7B](https://huggingface.co/automerger/AlloyingotneoyYam-7B)
... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_AlloyingotneoyYam", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/AlloyingotneoyYam-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-gene... | MaziyarPanahi/M7Yamshadowexperiment28_AlloyingotneoyYam | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/M7Yamshadowexperiment28-7B",
"base_model:automerger/AlloyingotneoyYam-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T20:43:07+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/M7Yamshadowexperiment28-7B #base_model-automerger/AlloyingotneoyYam-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# M7Yamshadowexperiment28_AlloyingotneoyYam
M7Yamshadowexperiment28_AlloyingotneoyYam is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/AlloyingotneoyYam-7B
## Usage
| [
"# M7Yamshadowexperiment28_AlloyingotneoyYam\n\nM7Yamshadowexperiment28_AlloyingotneoyYam is a merge of the following models:\n* automerger/M7Yamshadowexperiment28-7B\n* automerger/AlloyingotneoyYam-7B",
"## Usage"
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"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/M7Yamshadowexperiment28-7B #base_model-automerger/AlloyingotneoyYam-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# M7Yamshadowexperiment28_AlloyingotneoyYam\n\nM7Yamsh... | [
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text-generation | transformers |
# MeliodasPercival_01_Strangemerges_32Ogno
MeliodasPercival_01_Strangemerges_32Ogno is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/Strangemerges_32Ogno-7B](https://huggingface.co/automerger/Strangemerges_32Ogno-7B)
##... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_Strangemerges_32Ogno", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/Strangemerges_32Ogno-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-genera... | MaziyarPanahi/MeliodasPercival_01_Strangemerges_32Ogno | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/MeliodasPercival_01-7B",
"base_model:automerger/Strangemerges_32Ogno-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T20:43:07+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/Strangemerges_32Ogno-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# MeliodasPercival_01_Strangemerges_32Ogno
MeliodasPercival_01_Strangemerges_32Ogno is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/Strangemerges_32Ogno-7B
## Usage
| [
"# MeliodasPercival_01_Strangemerges_32Ogno\n\nMeliodasPercival_01_Strangemerges_32Ogno is a merge of the following models:\n* automerger/MeliodasPercival_01-7B\n* automerger/Strangemerges_32Ogno-7B",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/Strangemerges_32Ogno-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# MeliodasPercival_01_Strangemerges_32Ogno\n\nMeliodasP... | [
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image-to-3d | null | This repository holds models for Splatter Image: Ultra-Fast Single-View 3D Reconstruction (CVPR 2024).
The repository holds 6 models, each trained on a different dataset:
1. ShapeNet-SRN Car
2. ShapeNet-SRN Chair
3. CO3D Hydrant
4. CO3D Teddybear
5. Multi-class ShapeNet (NMR split)
6. Objaverse-LVIS
This repository i... | {"license": "mit", "tags": ["image-to-3d"]} | szymanowiczs/splatter-image-v1 | null | [
"image-to-3d",
"license:mit",
"has_space",
"region:us"
] | null | 2024-04-09T20:43:36+00:00 | [] | [] | TAGS
#image-to-3d #license-mit #has_space #region-us
| This repository holds models for Splatter Image: Ultra-Fast Single-View 3D Reconstruction (CVPR 2024).
The repository holds 6 models, each trained on a different dataset:
1. ShapeNet-SRN Car
2. ShapeNet-SRN Chair
3. CO3D Hydrant
4. CO3D Teddybear
5. Multi-class ShapeNet (NMR split)
6. Objaverse-LVIS
This repository i... | [] | [
"TAGS\n#image-to-3d #license-mit #has_space #region-us \n"
] | [
19
] | [
"TAGS\n#image-to-3d #license-mit #has_space #region-us \n"
] |
text2text-generation | transformers |
## Model description
“Auto_Spelling_Checker” by Himanshu Kumar is a Python project focused on creating a spelling corrector.
The repository includes a notebook detailing the preprocessing steps for natural language processing (NLP), specifically tokenization.
## Language
It is designed to work with the English langu... | {"language": ["en"], "license": "mit", "metrics": ["cer"], "widget": [{"text": "lets Check Errors", "example_title": "1"}, {"text": "Let's go Amarica", "example_title": "2"}, {"text": "ze shop is cloed due to covid 19", "example_title": "3"}, {"text": "No plya for today"}]} | Himanshu9192/Spelling_Checker | null | [
"transformers",
"pytorch",
"safetensors",
"t5",
"text2text-generation",
"en",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T20:43:46+00:00 | [] | [
"en"
] | TAGS
#transformers #pytorch #safetensors #t5 #text2text-generation #en #license-mit #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us
|
## Model description
“Auto_Spelling_Checker” by Himanshu Kumar is a Python project focused on creating a spelling corrector.
The repository includes a notebook detailing the preprocessing steps for natural language processing (NLP), specifically tokenization.
## Language
It is designed to work with the English langu... | [
"## Model description\n“Auto_Spelling_Checker” by Himanshu Kumar is a Python project focused on creating a spelling corrector.\nThe repository includes a notebook detailing the preprocessing steps for natural language processing (NLP), specifically tokenization.",
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"TAGS\n#transformers #pytorch #safetensors #t5 #text2text-generation #en #license-mit #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us \n",
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"TAGS\n#transformers #pytorch #safetensors #t5 #text2text-generation #en #license-mit #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us \n## Model description\n“Auto_Spelling_Checker” by Himanshu Kumar is a Python project focused on creating a spelling corrector.\nThe repo... |
text-generation | transformers |
# Experiment28M7_Experiment29Pastiche
Experiment28M7_Experiment29Pastiche is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/Experiment29Pastiche-7B](https://huggingface.co/automerger/Experiment29Pastiche-7B)
## 💻 Usage
```pytho... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_Experiment29Pastiche", "base_model": ["automerger/Experiment28M7-7B", "automerger/Experiment29Pastiche-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "qu... | MaziyarPanahi/Experiment28M7_Experiment29Pastiche | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/Experiment28M7-7B",
"base_model:automerger/Experiment29Pastiche-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T20:44:08+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28M7-7B #base_model-automerger/Experiment29Pastiche-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28M7_Experiment29Pastiche
Experiment28M7_Experiment29Pastiche is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/Experiment29Pastiche-7B
## Usage
| [
"# Experiment28M7_Experiment29Pastiche\n\nExperiment28M7_Experiment29Pastiche is a merge of the following models:\n* automerger/Experiment28M7-7B\n* automerger/Experiment29Pastiche-7B",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28M7-7B #base_model-automerger/Experiment29Pastiche-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# Experiment28M7_Experiment29Pastiche\n\nExperiment28M7_Expe... | [
76,
54,
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"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28M7-7B #base_model-automerger/Experiment29Pastiche-7B #license-apache-2.0 #autotrain_compatible #region-us \n# Experiment28M7_Experiment29Pastiche\n\nExperiment28M7_Experiment... |
text-generation | transformers |
# T3qm7xNeuralsirkrishna_ShadowExperiment29
T3qm7xNeuralsirkrishna_ShadowExperiment29 is a merge of the following models:
* [automerger/T3qm7xNeuralsirkrishna-7B](https://huggingface.co/automerger/T3qm7xNeuralsirkrishna-7B)
* [automerger/ShadowExperiment29-7B](https://huggingface.co/automerger/ShadowExperiment29-7B)
... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "T3qm7xNeuralsirkrishna_ShadowExperiment29", "base_model": ["automerger/T3qm7xNeuralsirkrishna-7B", "automerger/ShadowExperiment29-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-gene... | MaziyarPanahi/T3qm7xNeuralsirkrishna_ShadowExperiment29 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/T3qm7xNeuralsirkrishna-7B",
"base_model:automerger/ShadowExperiment29-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T20:44:10+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/T3qm7xNeuralsirkrishna-7B #base_model-automerger/ShadowExperiment29-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# T3qm7xNeuralsirkrishna_ShadowExperiment29
T3qm7xNeuralsirkrishna_ShadowExperiment29 is a merge of the following models:
* automerger/T3qm7xNeuralsirkrishna-7B
* automerger/ShadowExperiment29-7B
## Usage
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"## Usage"
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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 SLERP merge method.
### Models Merged
The following models were included in the merge:
* [mistralai/Mistral-7B-Instruct-v0.2](https:/... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mistralai/Mistral-7B-Instruct-v0.2"]} | Tech-Meld/HX-Mistral-1.5B_v0.3 | null | [
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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 SLERP merge method.
### Models Merged
The following models were included in the merge:
* mistralai/Mistral-7B-Instruct-v0.2
### Configuration
The following YAML configu... | [
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"## Merge Details",
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"### Configuratio... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/ICBU-NPU/FashionGPT-70B-V1.2
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/FashionGPT-7... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "base_model": "ICBU-NPU/FashionGPT-70B-V1.2", "quantized_by": "mradermacher"} | mradermacher/FashionGPT-70B-V1.2-GGUF | null | [
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| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
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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. -->
# TURKCELL-LLM-7B-DPO
This model is a fine-tuned version of [umarigan/TURKCELL-LLM-7B-openhermes](https://huggingface.co/umarigan/... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "dpo", "unsloth", "unsloth", "unsloth", "generated_from_trainer"], "base_model": "umarigan/TURKCELL-LLM-7B-openhermes", "model-index": [{"name": "TURKCELL-LLM-7B-DPO", "results": []}]} | umarigan/TURKCELL-LLM-7B-DPO | null | [
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"license:apache-2.0",
"region:us"
] | null | 2024-04-09T20:46:37+00:00 | [] | [] | TAGS
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|
# TURKCELL-LLM-7B-DPO
This model is a fine-tuned version of umarigan/TURKCELL-LLM-7B-openhermes on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Trainin... | [
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"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOpeepeepoopoo/stable_fun2 | null | [
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"1910.09700"
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#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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null | trl |
# Weni/WeniGPT-Agents-Zephyr-1.0.19-KTO
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta] on the dataset Weni/wenigpt-agent-1.2.0 with the KTO trainer. It is part of the WeniGPT project for [Weni](https://weni.ai/).
Description: Experiment with a new tokenizer configuration for chat template of zep... | {"language": ["pt"], "license": "mit", "library_name": "trl", "tags": ["KTO", "WeniGPT"], "base_model": "HuggingFaceH4/zephyr-7b-beta", "model-index": [{"name": "Weni/WeniGPT-Agents-Zephyr-1.0.19-KTO", "results": []}]} | Weni/WeniGPT-Agents-Zephyr-1.0.19-KTO | null | [
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|
# Weni/WeniGPT-Agents-Zephyr-1.0.19-KTO
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta] on the dataset Weni/wenigpt-agent-1.2.0 with the KTO trainer. It is part of the WeniGPT project for Weni.
Description: Experiment with a new tokenizer configuration for chat template of zephyr
It achieves the... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# chord-final-model
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-pat... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224", "model-index": [{"name": "chord-final-model", "results": []}]} | aliciiavs/chord-final-model | null | [
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| chord-final-model
=================
This model is a fine-tuned version of google/vit-base-patch16-224 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2133
* Accuracy: 0.695
Model description
-----------------
More information needed
Intended uses & limitations
-------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 7\n* total\\_train\\_batch\\_size: 224\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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automatic-speech-recognition | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Tr - CV 43h large batch
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai... | {"language": ["hi"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_1"], "metrics": ["wer"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Tr - CV 43h large batch", "results": [{"task": {"type": "automatic-speech-recognition"... | alikanakar/whisper-small-CV-43-large-batch-size | null | [
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| Whisper Small Tr - CV 43h large batch
=====================================
This model is a fine-tuned version of openai/whisper-small on the Common Voice 16.1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2890
* Wer: 21.0603
Model description
-----------------
More information nee... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps... | [
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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. -->
# dpo_anthropic_hh_gamma30.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps10000_lr1e-05
This model was trained from scratch on a... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "ckpts_SFT/SFT_mistral7b_hh-rlhf-gpt3_epoch1-subset10000", "model-index": [{"name": "dpo_anthropic_hh_gamma30.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps10000_lr1e-05", "results": []}]} | Holarissun/dpo_anthropic_hh_gamma30.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps10000_lr1e-05 | null | [
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"base_model:ckpts_SFT/SFT_mistral7b_hh-rlhf-gpt3_epoch1-subset10000",
"region:us"
] | null | 2024-04-09T20:54:50+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-ckpts_SFT/SFT_mistral7b_hh-rlhf-gpt3_epoch1-subset10000 #region-us
|
# dpo_anthropic_hh_gamma30.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps10000_lr1e-05
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
## T... | [
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text-to-image | diffusers |
# LoRA DreamBooth - squaadinc/1712696095692x825961636252238000
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
```
A TOK character
```
Use this keyword to trigger your custom model in your prompts... | {"tags": ["stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "diffusers", "lora"], "datasets": ["THEUS/Lion-O"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "A TOK character", "inference": false} | squaadinc/1712696095692x825961636252238000 | null | [
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"stable-diffusion-xl-diffusers",
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"lora",
"dataset:THEUS/Lion-O",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"region:us"
] | null | 2024-04-09T20:55:05+00:00 | [] | [] | TAGS
#diffusers #stable-diffusion-xl #stable-diffusion-xl-diffusers #text-to-image #lora #dataset-THEUS/Lion-O #base_model-stabilityai/stable-diffusion-xl-base-1.0 #region-us
|
# LoRA DreamBooth - squaadinc/1712696095692x825961636252238000
These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0 trained on @fffiloni's SD-XL trainer.
The weights were trained on the concept prompt:
Use this keyword to trigger your custom model in your prompts.
LoRA for the text en... | [
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text-generation | transformers |
The following content is mostly from https://huggingface.co/state-spaces/mamba-2.8b-hf
# Mamba
<!-- Provide a quick summary of what the model is/does. -->
This repository contains the `transfromers` compatible `mamba-2.8b-slimpj`. The checkpoints are untouched, but the full `config.json` and tokenizer are pushed to t... | {"library_name": "transformers", "tags": []} | han1997/mamba-2.8b-slimpj-hf | null | [
"transformers",
"safetensors",
"mamba",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #safetensors #mamba #text-generation #autotrain_compatible #endpoints_compatible #region-us
|
The following content is mostly from URL
# Mamba
This repository contains the 'transfromers' compatible 'mamba-2.8b-slimpj'. The checkpoints are untouched, but the full 'URL' and tokenizer are pushed to this repo.
# Usage
You need to install 'transformers' from 'main' until 'transformers=4.39.0' is released.
W... | [
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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": []} | ashanhr/wav2vec2-large-xls-r-2b-finetune-dali-480-min-per-lang | null | [
"transformers",
"arxiv:1910.09700",
"endpoints_compatible",
"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #arxiv-1910.09700 #endpoints_compatible #region-us
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-generation | transformers |
The following content is mostly from https://huggingface.co/state-spaces/mamba-2.8b-hf
# Mamba
<!-- Provide a quick summary of what the model is/does. -->
This repository contains the `transfromers` compatible `mamba-2.8b-ultrachat`. The checkpoints are untouched, but the full `config.json` and tokenizer are pushed t... | {"library_name": "transformers", "tags": []} | han1997/mamba-2.8b-ultrachat-hf | null | [
"transformers",
"safetensors",
"mamba",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
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#transformers #safetensors #mamba #text-generation #autotrain_compatible #endpoints_compatible #region-us
|
The following content is mostly from URL
# Mamba
This repository contains the 'transfromers' compatible 'mamba-2.8b-ultrachat'. The checkpoints are untouched, but the full 'URL' and tokenizer are pushed to this repo.
For details of the original model before conversion, see URL
# Usage
You need to install 'transfo... | [
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null | mlx |
# GreenBitAI/Qwen-1.5-14B-layer-mix-bpw-2.5-mlx
This quantized low-bit model was converted to MLX format from [`GreenBitAI/Qwen-1.5-14B-layer-mix-bpw-2.5`]().
Refer to the [original model card](https://huggingface.co/GreenBitAI/Qwen-1.5-14B-layer-mix-bpw-2.5) for more details on the model.
## Use with mlx
```bash
pip... | {"license": "apache-2.0", "tags": ["mlx"]} | GreenBitAI/Qwen-1.5-14B-layer-mix-bpw-2.5-mlx | null | [
"mlx",
"safetensors",
"qwen2",
"license:apache-2.0",
"region:us"
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#mlx #safetensors #qwen2 #license-apache-2.0 #region-us
|
# GreenBitAI/Qwen-1.5-14B-layer-mix-bpw-2.5-mlx
This quantized low-bit model was converted to MLX format from ['GreenBitAI/Qwen-1.5-14B-layer-mix-bpw-2.5']().
Refer to the original model card for more details on the model.
## Use with mlx
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] |
text-generation | transformers |
The following content is mostly from https://huggingface.co/state-spaces/mamba-2.8b-hf
# Mamba
<!-- Provide a quick summary of what the model is/does. -->
This repository contains the `transfromers` compatible `mamba-2.8b-zephyr`. The checkpoints are untouched, but the full `config.json` and tokenizer are pushed to t... | {"library_name": "transformers", "tags": []} | han1997/mamba-2.8b-zephyr-hf | null | [
"transformers",
"safetensors",
"mamba",
"text-generation",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T20:56:11+00:00 | [] | [] | TAGS
#transformers #safetensors #mamba #text-generation #autotrain_compatible #endpoints_compatible #region-us
|
The following content is mostly from URL
# Mamba
This repository contains the 'transfromers' compatible 'mamba-2.8b-zephyr'. The checkpoints are untouched, but the full 'URL' and tokenizer are pushed to this repo.
For details of the original model before conversion, see URL
# Usage
You need to install 'transforme... | [
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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. -->
# dpo_anthropic_hh_gamma1.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps10000_lr1e-05
This model was trained from scratch on an... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "ckpts_SFT/SFT_mistral7b_hh-rlhf-gpt3_epoch1-subset10000", "model-index": [{"name": "dpo_anthropic_hh_gamma1.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps10000_lr1e-05", "results": []}]} | Holarissun/dpo_anthropic_hh_gamma1.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps10000_lr1e-05 | null | [
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"generated_from_trainer",
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#peft #safetensors #trl #dpo #generated_from_trainer #base_model-ckpts_SFT/SFT_mistral7b_hh-rlhf-gpt3_epoch1-subset10000 #region-us
|
# dpo_anthropic_hh_gamma1.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps10000_lr1e-05
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
## Tr... | [
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"## Intended uses & limitations\n\nMore information needed",
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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 SLERP merge method.
### Models Merged
The following models were included in the merge:
* [TURKCELL/Turkcell-LLM-7b-v1](https://huggin... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["TURKCELL/Turkcell-LLM-7b-v1", "Trendyol/Trendyol-LLM-7b-chat-dpo-v1.0"]} | burak/Trendyol-Turkcell-mix | null | [
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"autotrain_compatible",
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#transformers #safetensors #mistral #text-generation #mergekit #merge #conversational #base_model-TURKCELL/Turkcell-LLM-7b-v1 #base_model-Trendyol/Trendyol-LLM-7b-chat-dpo-v1.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| # merge
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* TURKCELL/Turkcell-LLM-7b-v1
* Trendyol/Trendyol-LLM-7b-chat-dpo-v1.0
### Configu... | [
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null | null | # Training run to compare Mixture-of-Depths, Bitnet
[Wandb Report](https://api.wandb.ai/links/tulasiram/pw76q41i)
#### 4 Models trained for 100k steps on Dolma
- OLMo-50M - 50M parameter model
- OL... | {"license": "apache-2.0", "datasets": ["allenai/dolma"]} | 0-hero/OLMo-50M-Mixture-of-Depths-Bitnet | null | [
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#dataset-allenai/dolma #license-apache-2.0 #region-us
| # Training run to compare Mixture-of-Depths, Bitnet
Wandb Report
!image/png"
#### 4 Models trained for 100k steps on Dolma
- OLMo-50M - 50M parameter model
- OLMo-50M-bitlinear - 50M parameter bitnet model
- OLMo-50M-mod - 50M parameter mixture-of-depths model
- OLMo-50M-mod-bitlinear - 50M parameter mixture-of-dept... | [
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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. -->
# dpo_anthropic_hh_gamma3.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps10000_lr1e-05
This model was trained from scratch on an... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "ckpts_SFT/SFT_mistral7b_hh-rlhf-gpt3_epoch1-subset10000", "model-index": [{"name": "dpo_anthropic_hh_gamma3.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps10000_lr1e-05", "results": []}]} | Holarissun/dpo_anthropic_hh_gamma3.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps10000_lr1e-05 | null | [
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"base_model:ckpts_SFT/SFT_mistral7b_hh-rlhf-gpt3_epoch1-subset10000",
"region:us"
] | null | 2024-04-09T20:58:42+00:00 | [] | [] | TAGS
#peft #safetensors #trl #dpo #generated_from_trainer #base_model-ckpts_SFT/SFT_mistral7b_hh-rlhf-gpt3_epoch1-subset10000 #region-us
|
# dpo_anthropic_hh_gamma3.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps10000_lr1e-05
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
## Tr... | [
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"## Intended uses & limitations\n\nMore information needed",
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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. -->
# darrow_legallens_ner_results_pissa
This model is a fine-tuned version of [CohereForAI/aya-101](https://huggingface.co/CohereForA... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "CohereForAI/aya-101", "model-index": [{"name": "darrow_legallens_ner_results_pissa", "results": []}]} | marcgranica/darrow_legallens_ner_results_pissa | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:CohereForAI/aya-101",
"license:apache-2.0",
"region:us"
] | null | 2024-04-09T20:59:10+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-CohereForAI/aya-101 #license-apache-2.0 #region-us
| darrow\_legallens\_ner\_results\_pissa
======================================
This model is a fine-tuned version of CohereForAI/aya-101 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6217
* Law Precision: 0.7630
* Law Recall: 0.8655
* Law F1: 0.8110
* Law Number: 119
* Vio... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps... | [
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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. -->
# dpo_anthropic_hh_gamma0.1_beta0.1_subset20000_modelmistral7b-sft_maxsteps10000_lr1e-05
This model was trained from scratch on an... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "ckpts_SFT/SFT_mistral7b_hh-rlhf-gpt3_epoch1-subset10000", "model-index": [{"name": "dpo_anthropic_hh_gamma0.1_beta0.1_subset20000_modelmistral7b-sft_maxsteps10000_lr1e-05", "results": []}]} | Holarissun/dpo_anthropic_hh_gamma0.1_beta0.1_subset20000_modelmistral7b-sft_maxsteps10000_lr1e-05 | null | [
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|
# dpo_anthropic_hh_gamma0.1_beta0.1_subset20000_modelmistral7b-sft_maxsteps10000_lr1e-05
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
## Tr... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** LeroyDyer
- **License:** apache-2.0
- **Finetuned from model :** LeroyDyer/Mixtral_AI_CyberRolePlay = tuned on openorca
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubuse... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "datasets": ["Open-Orca/OpenOrca"], "base_model": "LeroyDyer/Mixtral_AI_CyberRolePlay"} | LeroyDyer/Mixtral_AI_CyberRolePlay_Orca | null | [
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# Uploaded model
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- License: apache-2.0
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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. -->
# dpo_anthropic_hh_gamma10.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps10000_lr1e-05
This model was trained from scratch on a... | {"library_name": "peft", "tags": ["trl", "dpo", "generated_from_trainer"], "base_model": "ckpts_SFT/SFT_mistral7b_hh-rlhf-gpt3_epoch1-subset10000", "model-index": [{"name": "dpo_anthropic_hh_gamma10.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps10000_lr1e-05", "results": []}]} | Holarissun/dpo_anthropic_hh_gamma10.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps10000_lr1e-05 | null | [
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|
# dpo_anthropic_hh_gamma10.0_beta0.1_subset20000_modelmistral7b-sft_maxsteps10000_lr1e-05
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
## T... | [
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image-to-3d | diffusers |
This custom pipeline encapsulates [LGM](https://huggingface.co/ashawkey/LGM).
Original LGM paper: [LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation](https://huggingface.co/papers/2402.05054). | {"license": "mit", "pipeline_tag": "image-to-3d"} | dylanebert/LGM | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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text-generation | transformers |
## Model Details
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Pre-Trained from scratch on 5 wikipedia articles and intended for fine tunning.
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Trained for 200 epochs on 5 wikipedia articles.
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https://huggingf... | {"library_name": "transformers", "tags": []} | raf6423/gpt2wikipedia5 | null | [
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null | transformers |
# Model Card for Model ID
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text-generation | transformers |
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## Model Details
### Model Description
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text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/SparseLLM/ReluLLaMA-13B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up ... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "base_model": "SparseLLM/ReluLLaMA-13B", "quantized_by": "mradermacher"} | mradermacher/ReluLLaMA-13B-GGUF | null | [
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-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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text-generation | transformers |
# NeuralsirkrishnaShadow_Strangemerges_32Strangemerges_30
NeuralsirkrishnaShadow_Strangemerges_32Strangemerges_30 is a merge of the following models:
* [automerger/NeuralsirkrishnaShadow-7B](https://huggingface.co/automerger/NeuralsirkrishnaShadow-7B)
* [automerger/Strangemerges_32Strangemerges_30-7B](https://hugging... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "NeuralsirkrishnaShadow_Strangemerges_32Strangemerges_30", "base_model": ["automerger/NeuralsirkrishnaShadow-7B", "automerger/Strangemerges_32Strangemerges_30-7B"], "inference": false, "model_creator": "MaziyarPanahi"... | MaziyarPanahi/NeuralsirkrishnaShadow_Strangemerges_32Strangemerges_30 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/NeuralsirkrishnaShadow-7B",
"base_model:automerger/Strangemerges_32Strangemerges_30-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T21:07:10+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/NeuralsirkrishnaShadow-7B #base_model-automerger/Strangemerges_32Strangemerges_30-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# NeuralsirkrishnaShadow_Strangemerges_32Strangemerges_30
NeuralsirkrishnaShadow_Strangemerges_32Strangemerges_30 is a merge of the following models:
* automerger/NeuralsirkrishnaShadow-7B
* automerger/Strangemerges_32Strangemerges_30-7B
## Usage
| [
"# NeuralsirkrishnaShadow_Strangemerges_32Strangemerges_30\n\nNeuralsirkrishnaShadow_Strangemerges_32Strangemerges_30 is a merge of the following models:\n* automerger/NeuralsirkrishnaShadow-7B\n* automerger/Strangemerges_32Strangemerges_30-7B",
"## Usage"
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"# NeuralsirkrishnaShadow_Strangemerges_3... | [
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text-generation | transformers |
# MeliodasPercival_01_Strangemerges_32Strangemerges_30
MeliodasPercival_01_Strangemerges_32Strangemerges_30 is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/Strangemerges_32Strangemerges_30-7B](https://huggingface.co/auto... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_Strangemerges_32Strangemerges_30", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/Strangemerges_32Strangemerges_30-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pip... | MaziyarPanahi/MeliodasPercival_01_Strangemerges_32Strangemerges_30 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/MeliodasPercival_01-7B",
"base_model:automerger/Strangemerges_32Strangemerges_30-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T21:08:12+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/Strangemerges_32Strangemerges_30-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# MeliodasPercival_01_Strangemerges_32Strangemerges_30
MeliodasPercival_01_Strangemerges_32Strangemerges_30 is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/Strangemerges_32Strangemerges_30-7B
## Usage
| [
"# MeliodasPercival_01_Strangemerges_32Strangemerges_30\n\nMeliodasPercival_01_Strangemerges_32Strangemerges_30 is a merge of the following models:\n* automerger/MeliodasPercival_01-7B\n* automerger/Strangemerges_32Strangemerges_30-7B",
"## Usage"
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"# MeliodasPercival_01_Strangemerges_32Stran... | [
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text-generation | transformers |
# M7Yamshadowexperiment28_ShadowOgno
M7Yamshadowexperiment28_ShadowOgno is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/ShadowOgno-7B](https://huggingface.co/automerger/ShadowOgno-7B)
## 💻 Usage
```python
!p... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_ShadowOgno", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/ShadowOgno-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quan... | MaziyarPanahi/M7Yamshadowexperiment28_ShadowOgno | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/M7Yamshadowexperiment28-7B",
"base_model:automerger/ShadowOgno-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T21:08:24+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/M7Yamshadowexperiment28-7B #base_model-automerger/ShadowOgno-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# M7Yamshadowexperiment28_ShadowOgno
M7Yamshadowexperiment28_ShadowOgno is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/ShadowOgno-7B
## Usage
| [
"# M7Yamshadowexperiment28_ShadowOgno\n\nM7Yamshadowexperiment28_ShadowOgno is a merge of the following models:\n* automerger/M7Yamshadowexperiment28-7B\n* automerger/ShadowOgno-7B",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/M7Yamshadowexperiment28-7B #base_model-automerger/ShadowOgno-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# M7Yamshadowexperiment28_ShadowOgno\n\nM7Yamshadowexperiment... | [
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text-generation | transformers |
# T3qm7xNeuralsirkrishna_YamOgno
T3qm7xNeuralsirkrishna_YamOgno is a merge of the following models:
* [automerger/T3qm7xNeuralsirkrishna-7B](https://huggingface.co/automerger/T3qm7xNeuralsirkrishna-7B)
* [automerger/YamOgno-7B](https://huggingface.co/automerger/YamOgno-7B)
## 💻 Usage
```python
!pip install -qU t... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "T3qm7xNeuralsirkrishna_YamOgno", "base_model": ["automerger/T3qm7xNeuralsirkrishna-7B", "automerger/YamOgno-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_by... | MaziyarPanahi/T3qm7xNeuralsirkrishna_YamOgno | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/T3qm7xNeuralsirkrishna-7B",
"base_model:automerger/YamOgno-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T21:08:24+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/T3qm7xNeuralsirkrishna-7B #base_model-automerger/YamOgno-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# T3qm7xNeuralsirkrishna_YamOgno
T3qm7xNeuralsirkrishna_YamOgno is a merge of the following models:
* automerger/T3qm7xNeuralsirkrishna-7B
* automerger/YamOgno-7B
## Usage
| [
"# T3qm7xNeuralsirkrishna_YamOgno\n\nT3qm7xNeuralsirkrishna_YamOgno is a merge of the following models:\n* automerger/T3qm7xNeuralsirkrishna-7B\n* automerger/YamOgno-7B",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/T3qm7xNeuralsirkrishna-7B #base_model-automerger/YamOgno-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# T3qm7xNeuralsirkrishna_YamOgno\n\nT3qm7xNeuralsirkrishna_YamOgn... | [
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text-generation | transformers |
# YamshadowInex12_Inex16Calme
YamshadowInex12_Inex16Calme is a merge of the following models:
* [automerger/YamshadowInex12-7B](https://huggingface.co/automerger/YamshadowInex12-7B)
* [automerger/Inex16Calme-7B](https://huggingface.co/automerger/Inex16Calme-7B)
## 💻 Usage
```python
!pip install -qU transformers ... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowInex12_Inex16Calme", "base_model": ["automerger/YamshadowInex12-7B", "automerger/Inex16Calme-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_by": "Ma... | MaziyarPanahi/YamshadowInex12_Inex16Calme | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/YamshadowInex12-7B",
"base_model:automerger/Inex16Calme-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T21:08:24+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowInex12-7B #base_model-automerger/Inex16Calme-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamshadowInex12_Inex16Calme
YamshadowInex12_Inex16Calme is a merge of the following models:
* automerger/YamshadowInex12-7B
* automerger/Inex16Calme-7B
## Usage
| [
"# YamshadowInex12_Inex16Calme\n\nYamshadowInex12_Inex16Calme is a merge of the following models:\n* automerger/YamshadowInex12-7B\n* automerger/Inex16Calme-7B",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowInex12-7B #base_model-automerger/Inex16Calme-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# YamshadowInex12_Inex16Calme\n\nYamshadowInex12_Inex16Calme is a me... | [
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text-generation | transformers |
# Experiment28M7_PasticheAlloyingotneoy
Experiment28M7_PasticheAlloyingotneoy is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/PasticheAlloyingotneoy-7B](https://huggingface.co/automerger/PasticheAlloyingotneoy-7B)
## 💻 Usage
... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_PasticheAlloyingotneoy", "base_model": ["automerger/Experiment28M7-7B", "automerger/PasticheAlloyingotneoy-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation",... | MaziyarPanahi/Experiment28M7_PasticheAlloyingotneoy | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/Experiment28M7-7B",
"base_model:automerger/PasticheAlloyingotneoy-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T21:09:08+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28M7-7B #base_model-automerger/PasticheAlloyingotneoy-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28M7_PasticheAlloyingotneoy
Experiment28M7_PasticheAlloyingotneoy is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/PasticheAlloyingotneoy-7B
## Usage
| [
"# Experiment28M7_PasticheAlloyingotneoy\n\nExperiment28M7_PasticheAlloyingotneoy is a merge of the following models:\n* automerger/Experiment28M7-7B\n* automerger/PasticheAlloyingotneoy-7B",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28M7-7B #base_model-automerger/PasticheAlloyingotneoy-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# Experiment28M7_PasticheAlloyingotneoy\n\nExperiment28M7_... | [
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text-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.3250143229961395
f1: 1.0
precision: 1.0
recall: 1.0
auc: 1.0
accuracy: 1.0
| {"tags": ["autotrain", "text-classification"], "datasets": ["autotrain-nqedq-wkn8i/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | davidyoungoc/autotrain-nqedq-wkn8i | null | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"text-classification",
"autotrain",
"dataset:autotrain-nqedq-wkn8i/autotrain-data",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T21:09:16+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #text-classification #autotrain #dataset-autotrain-nqedq-wkn8i/autotrain-data #autotrain_compatible #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.3250143229961395
f1: 1.0
precision: 1.0
recall: 1.0
auc: 1.0
accuracy: 1.0
| [
"# Model Trained Using AutoTrain\n\n- Problem type: Text Classification",
"## Validation Metrics\nloss: 0.3250143229961395\n\nf1: 1.0\n\nprecision: 1.0\n\nrecall: 1.0\n\nauc: 1.0\n\naccuracy: 1.0"
] | [
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"# Model Trained Using AutoTrain\n\n- Problem type: Text Classification",
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text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low... | {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-14B-layer-mix-bpw-2.2 | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T21:09:40+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| GreenBit LLMs
=============
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using... | [
"### Zero-shot Evaluation\n\n\nWe evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using the 'llm\\_eval' library and list the results below:"
] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Zero-shot Evaluation\n\n\nWe evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using the 'llm\\_eval' library a... | [
46,
43
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"TAGS\n#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Zero-shot Evaluation\n\n\nWe evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using the 'llm\\_eval' library and lis... |
text-generation | transformers | # GreenBit LLMs
This is GreenBitAI's pretrained **low-bit** LLMs with extreme compression yet still strong performance.
Please refer to our [Github page](https://github.com/GreenBitAI/green-bit-llm) for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low... | {"license": "apache-2.0"} | GreenBitAI/Qwen-1.5-14B-layer-mix-bpw-3.0 | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T21:09:53+00:00 | [] | [] | TAGS
#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| GreenBit LLMs
=============
This is GreenBitAI's pretrained low-bit LLMs with extreme compression yet still strong performance.
Please refer to our Github page for the code to run the model and more information.
### Zero-shot Evaluation
We evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using... | [
"### Zero-shot Evaluation\n\n\nWe evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using the 'llm\\_eval' library and list the results below:"
] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Zero-shot Evaluation\n\n\nWe evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using the 'llm\\_eval' library a... | [
46,
43
] | [
"TAGS\n#transformers #safetensors #qwen2 #text-generation #conversational #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Zero-shot Evaluation\n\n\nWe evaluate the zero-shot ability of low-bit quantized Qwen1.5 models using the 'llm\\_eval' library and lis... |
text-classification | adapter-transformers |
72.36 <- avg
69.54 <- ARC
86.66 <- Hellaswag
63.27 <- MMLU
71.4 <- TruthfulQA
79.48 <- Winogrande
63.84 <- GSM8K
| {"license": "apache-2.0", "library_name": "adapter-transformers", "datasets": ["netcat420/MFANN"], "pipeline_tag": "text-classification"} | netcat420/MFANNv0.4-GGUF | null | [
"adapter-transformers",
"gguf",
"text-classification",
"dataset:netcat420/MFANN",
"license:apache-2.0",
"region:us"
] | null | 2024-04-09T21:19:12+00:00 | [] | [] | TAGS
#adapter-transformers #gguf #text-classification #dataset-netcat420/MFANN #license-apache-2.0 #region-us
|
!image/png
72.36 <- avg
69.54 <- ARC
86.66 <- Hellaswag
63.27 <- MMLU
71.4 <- TruthfulQA
79.48 <- Winogrande
63.84 <- GSM8K
| [] | [
"TAGS\n#adapter-transformers #gguf #text-classification #dataset-netcat420/MFANN #license-apache-2.0 #region-us \n"
] | [
37
] | [
"TAGS\n#adapter-transformers #gguf #text-classification #dataset-netcat420/MFANN #license-apache-2.0 #region-us \n"
] |
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. -->
# amazon_pretraining_5M_model_corrected
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) ... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "roberta-base", "model-index": [{"name": "amazon_pretraining_5M_model_corrected", "results": []}]} | BigTMiami/amazon_pretraining_5M_model_corrected | null | [
"transformers",
"tensorboard",
"safetensors",
"roberta",
"fill-mask",
"generated_from_trainer",
"base_model:roberta-base",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T21:19:41+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #roberta #fill-mask #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
| amazon\_pretraining\_5M\_model\_corrected
=========================================
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5161
Model description
-----------------
More information needed
Intended uses & limi... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 11\n* total\\_train\\_batch\\_size: 352\n* optimizer: Adam with betas=(0.9,0.98) and epsil... | [
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"TAGS\n#transformers #tensorboard #safetensors #roberta #fill-mask #generated_from_trainer #base_model-roberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train... |
text-generation | transformers |
# mweinbach/gemma-1.1-7b-it-mlx
This model was converted to MLX format from [`google/gemma-1.1-7b-it`]() using mlx-lm version **0.8.0**.
Refer to the [original model card](https://huggingface.co/google/gemma-1.1-7b-it) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_l... | {"license": "gemma", "library_name": "transformers", "tags": ["mlx"], "widget": [{"messages": [{"role": "user", "content": "How does the brain work?"}]}], "inference": {"parameters": {"max_new_tokens": 200}}, "extra_gated_heading": "Access Gemma on Hugging Face", "extra_gated_prompt": "To access Gemma on Hugging Face, ... | mweinbach/gemma-1.1-7b-it-mlx | null | [
"transformers",
"safetensors",
"gemma",
"text-generation",
"mlx",
"conversational",
"license:gemma",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T21:19:48+00:00 | [] | [] | TAGS
#transformers #safetensors #gemma #text-generation #mlx #conversational #license-gemma #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# mweinbach/gemma-1.1-7b-it-mlx
This model was converted to MLX format from ['google/gemma-1.1-7b-it']() using mlx-lm version 0.8.0.
Refer to the original model card for more details on the model.
## Use with mlx
| [
"# mweinbach/gemma-1.1-7b-it-mlx\nThis model was converted to MLX format from ['google/gemma-1.1-7b-it']() using mlx-lm version 0.8.0.\nRefer to the original model card for more details on the model.",
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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. -->
# bert-finetuned-ner
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "bert-finetuned-ner", "results": []}]} | SObryadchikov/bert-finetuned-ner | null | [
"transformers",
"tensorboard",
"safetensors",
"bert",
"token-classification",
"generated_from_trainer",
"base_model:bert-base-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T21:21:02+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #token-classification #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| bert-finetuned-ner
==================
This model is a fine-tuned version of bert-base-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0770
* Precision: 0.9863
* Recall: 0.9863
* F1: 0.9863
* Accuracy: 0.9788
Model description
-----------------
More information nee... | [
"### 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",
"### Training... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning... | [
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"TAGS\n#transformers #tensorboard #safetensors #bert #token-classification #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rat... |
null | transformers |
# Model Card for C4AI Command R+
This the the quantized exl2 6.0bpw version of the [Command-r-plus](https://huggingface.co/CohereForAI/c4ai-command-r-plus)
## Model Summary
C4AI Command R+ is an open weights research release of a 104B billion parameter model with highly advanced capabilities, this includes Retrieva... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers"} | bullerwins/c4ai-command-r-plus-6.0bpw-exl2 | null | [
"transformers",
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"it",
"pt",
"ja",
"ko",
"zh",
"ar",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T21:23:11+00:00 | [] | [
"en",
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] | TAGS
#transformers #safetensors #en #fr #de #es #it #pt #ja #ko #zh #ar #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| Model Card for C4AI Command R+
==============================
This the the quantized exl2 6.0bpw version of the Command-r-plus
Model Summary
-------------
C4AI Command R+ is an open weights research release of a 104B billion parameter model with highly advanced capabilities, this includes Retrieval Augmented Gene... | [
"### Tool use & multihop capabilities:\n\n\nCommand R+ has been specifically trained with conversational tool use capabilities. These have been trained into the model via a mixture of supervised fine-tuning and preference fine-tuning, using a specific prompt template. Deviating from this prompt template will likely... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/lloorree/mythxl-70b
<!-- provided-files -->
weighted/imatrix quants are available at https://huggingface.co/mradermacher/mythxl-70b-i1-GGUF
##... | {"language": ["en"], "license": "cc-by-nc-sa-4.0", "library_name": "transformers", "datasets": ["kaiokendev/SuperCOT-dataset"], "base_model": "lloorree/mythxl-70b", "quantized_by": "mradermacher"} | mradermacher/mythxl-70b-GGUF | null | [
"transformers",
"gguf",
"en",
"dataset:kaiokendev/SuperCOT-dataset",
"base_model:lloorree/mythxl-70b",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T21:23:25+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #en #dataset-kaiokendev/SuperCOT-dataset #base_model-lloorree/mythxl-70b #license-cc-by-nc-sa-4.0 #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided Quants
---------------
(sorted by size, not necessarily quality. ... | [] | [
"TAGS\n#transformers #gguf #en #dataset-kaiokendev/SuperCOT-dataset #base_model-lloorree/mythxl-70b #license-cc-by-nc-sa-4.0 #endpoints_compatible #region-us \n"
] | [
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] |
null | null |
# CohereForAI/c4ai-command-r-v01 GGUFs created with an importance matrix
Source Model: [CohereForAI/c4ai-command-r-v01](https://huggingface.co/CohereForAI/c4ai-command-r-v01)
Quantized with [llama.cpp](https://github.com/ggerganov/llama.cpp) commit [5dc9dd7152dedc6046b646855585bd070c91e8c8](https://github.com/ggerga... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "tags": ["cohere", "commandr", "instruct", "finetune", "function calling", "importance matrix", "imatrix"], "base_model": "CohereForAI/c4ai-command-r-v01", "model-index": [{"name": "c4ai-command-r-v01-iMat-GGUF", "resu... | qwp4w3hyb/c4ai-command-r-v01-iMat-GGUF | null | [
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"commandr",
"instruct",
"finetune",
"function calling",
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"ko",
"zh",
"ar",
"base_model:CohereForAI/c4ai-command-r-v01",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-09T21:25:51+00:00 | [] | [
"en",
"fr",
"de",
"es",
"it",
"pt",
"ja",
"ko",
"zh",
"ar"
] | TAGS
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|
# CohereForAI/c4ai-command-r-v01 GGUFs created with an importance matrix
Source Model: CohereForAI/c4ai-command-r-v01
Quantized with URL commit 5dc9dd7152dedc6046b646855585bd070c91e8c8 (master from 2024-04-09)
Imatrix was generated from the f16 gguf via this command:
./imatrix -c 512 -m $out_path/$base_quant_name ... | [
"# CohereForAI/c4ai-command-r-v01 GGUFs created with an importance matrix\n\nSource Model: CohereForAI/c4ai-command-r-v01\n\nQuantized with URL commit 5dc9dd7152dedc6046b646855585bd070c91e8c8 (master from 2024-04-09)\n\nImatrix was generated from the f16 gguf via this command:\n\n./imatrix -c 512 -m $out_path/$base... | [
"TAGS\n#gguf #cohere #commandr #instruct #finetune #function calling #importance matrix #imatrix #en #fr #de #es #it #pt #ja #ko #zh #ar #base_model-CohereForAI/c4ai-command-r-v01 #license-cc-by-nc-4.0 #region-us \n",
"# CohereForAI/c4ai-command-r-v01 GGUFs created with an importance matrix\n\nSource Model: Coher... | [
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text-generation | transformers |
# Spaetzle-v55-7b
Spaetzle-v55-7b is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [yleo/EmertonMonarch-7B](https://huggingface.co/yleo/EmertonMonarch-7B)
* [occiglot/occiglot-7b-de-en-instruct](https://huggingface.co/occ... | {"tags": ["merge", "mergekit", "lazymergekit", "yleo/EmertonMonarch-7B", "occiglot/occiglot-7b-de-en-instruct"], "base_model": ["yleo/EmertonMonarch-7B", "occiglot/occiglot-7b-de-en-instruct"]} | cstr/Spaetzle-v55-7b | null | [
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"safetensors",
"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"yleo/EmertonMonarch-7B",
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"conversational",
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"base_model:occiglot/occiglot-7b-de-en-instruct",
"autotrain_compatible",
... | null | 2024-04-09T21:28:37+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #yleo/EmertonMonarch-7B #occiglot/occiglot-7b-de-en-instruct #conversational #base_model-yleo/EmertonMonarch-7B #base_model-occiglot/occiglot-7b-de-en-instruct #autotrain_compatible #endpoints_compatible #text-generation-inference ... |
# Spaetzle-v55-7b
Spaetzle-v55-7b is a merge of the following models using LazyMergekit:
* yleo/EmertonMonarch-7B
* occiglot/occiglot-7b-de-en-instruct
## Configuration
## Usage
| [
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null | null | [Flair NER](https://github.com/flairNLP/flair) model trained to parse funders and awards from funding statements. Trained using https://huggingface.co/datasets/adambuttrick/flair-ner-funding-statements-10K. | {"license": "mit"} | adambuttrick/flair-funder-ner-model-50-epoch | null | [
"license:mit",
"region:us"
] | null | 2024-04-09T21:29:12+00:00 | [] | [] | TAGS
#license-mit #region-us
| Flair NER model trained to parse funders and awards from funding statements. Trained using URL | [] | [
"TAGS\n#license-mit #region-us \n"
] | [
9
] | [
"TAGS\n#license-mit #region-us \n"
] |
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. -->
# 4_datasets_fake_news_with_AI_balanced_Covid
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "4_datasets_fake_news_with_AI_balanced_Covid", "results": []}]} | littlepinhorse/4_datasets_fake_news_with_AI_balanced_Covid | null | [
"transformers",
"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T21:29:44+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# 4_datasets_fake_news_with_AI_balanced_Covid
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0539
- Accuracy: 0.9880
- F1: 0.9881
## Model description
More information needed
## Intended uses & limitations
Mor... | [
"# 4_datasets_fake_news_with_AI_balanced_Covid\n\nThis model is a fine-tuned version of distilbert-base-uncased on the None dataset.\nIt achieves the following results on the evaluation set:\n- Loss: 0.0539\n- Accuracy: 0.9880\n- F1: 0.9881",
"## Model description\n\nMore information needed",
"## Intended uses ... | [
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null | mlx |
# GreenBitAI/Qwen-1.5-14B-layer-mix-bpw-3.0-mlx
This quantized low-bit model was converted to MLX format from [`GreenBitAI/Qwen-1.5-14B-layer-mix-bpw-3.0`]().
Refer to the [original model card](https://huggingface.co/GreenBitAI/Qwen-1.5-14B-layer-mix-bpw-3.0) for more details on the model.
## Use with mlx
```bash
pip... | {"license": "apache-2.0", "tags": ["mlx"]} | GreenBitAI/Qwen-1.5-14B-layer-mix-bpw-3.0-mlx | null | [
"mlx",
"safetensors",
"qwen2",
"license:apache-2.0",
"region:us"
] | null | 2024-04-09T21:30:34+00:00 | [] | [] | TAGS
#mlx #safetensors #qwen2 #license-apache-2.0 #region-us
|
# GreenBitAI/Qwen-1.5-14B-layer-mix-bpw-3.0-mlx
This quantized low-bit model was converted to MLX format from ['GreenBitAI/Qwen-1.5-14B-layer-mix-bpw-3.0']().
Refer to the original model card for more details on the model.
## Use with mlx
| [
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"## Use with mlx"
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"TAGS\n#mlx #safetensors #qwen2 #license-apache-2.0 #region-us \n# GreenBitAI/Qwen-1.5-14B-layer-mix-bpw-3.0-mlx\nThis quantized low-bit model was converted to MLX format from ['GreenBitAI/Qwen-1.5-14B-layer-mix-bpw-3.0']().\nRefer to the original model card for more details on the model.## Use with mlx"
] |
text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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": []} | Vincent133313/model551 | null | [
"transformers",
"safetensors",
"t5",
"text2text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-09T21:31:51+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #t5 #text2text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Model Card for Model ID",
"## Model Details",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been push... | [
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text-generation | transformers |
# NeuralsirkrishnaShadow_Experiment27Yam
NeuralsirkrishnaShadow_Experiment27Yam is a merge of the following models:
* [automerger/NeuralsirkrishnaShadow-7B](https://huggingface.co/automerger/NeuralsirkrishnaShadow-7B)
* [automerger/Experiment27Yam-7B](https://huggingface.co/automerger/Experiment27Yam-7B)
## 💻 Usag... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "NeuralsirkrishnaShadow_Experiment27Yam", "base_model": ["automerger/NeuralsirkrishnaShadow-7B", "automerger/Experiment27Yam-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation... | MaziyarPanahi/NeuralsirkrishnaShadow_Experiment27Yam | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/NeuralsirkrishnaShadow-7B",
"base_model:automerger/Experiment27Yam-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T21:33:07+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/NeuralsirkrishnaShadow-7B #base_model-automerger/Experiment27Yam-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# NeuralsirkrishnaShadow_Experiment27Yam
NeuralsirkrishnaShadow_Experiment27Yam is a merge of the following models:
* automerger/NeuralsirkrishnaShadow-7B
* automerger/Experiment27Yam-7B
## Usage
| [
"# NeuralsirkrishnaShadow_Experiment27Yam\n\nNeuralsirkrishnaShadow_Experiment27Yam is a merge of the following models:\n* automerger/NeuralsirkrishnaShadow-7B\n* automerger/Experiment27Yam-7B",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/NeuralsirkrishnaShadow-7B #base_model-automerger/Experiment27Yam-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# NeuralsirkrishnaShadow_Experiment27Yam\n\nNeuralsirkris... | [
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text-generation | transformers |
# M7Yamshadowexperiment28_Experiment31Experiment29
M7Yamshadowexperiment28_Experiment31Experiment29 is a merge of the following models:
* [automerger/M7Yamshadowexperiment28-7B](https://huggingface.co/automerger/M7Yamshadowexperiment28-7B)
* [automerger/Experiment31Experiment29-7B](https://huggingface.co/automerger/E... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "M7Yamshadowexperiment28_Experiment31Experiment29", "base_model": ["automerger/M7Yamshadowexperiment28-7B", "automerger/Experiment31Experiment29-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_ta... | MaziyarPanahi/M7Yamshadowexperiment28_Experiment31Experiment29 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/M7Yamshadowexperiment28-7B",
"base_model:automerger/Experiment31Experiment29-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T21:33:07+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/M7Yamshadowexperiment28-7B #base_model-automerger/Experiment31Experiment29-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# M7Yamshadowexperiment28_Experiment31Experiment29
M7Yamshadowexperiment28_Experiment31Experiment29 is a merge of the following models:
* automerger/M7Yamshadowexperiment28-7B
* automerger/Experiment31Experiment29-7B
## Usage
| [
"# M7Yamshadowexperiment28_Experiment31Experiment29\n\nM7Yamshadowexperiment28_Experiment31Experiment29 is a merge of the following models:\n* automerger/M7Yamshadowexperiment28-7B\n* automerger/Experiment31Experiment29-7B",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/M7Yamshadowexperiment28-7B #base_model-automerger/Experiment31Experiment29-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# M7Yamshadowexperiment28_Experiment31Experimen... | [
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text-generation | transformers |
# YamshadowStrangemerges_32_YamShadow
YamshadowStrangemerges_32_YamShadow is a merge of the following models:
* [automerger/YamshadowStrangemerges_32-7B](https://huggingface.co/automerger/YamshadowStrangemerges_32-7B)
* [automerger/YamShadow-7B](https://huggingface.co/automerger/YamShadow-7B)
## 💻 Usage
```pytho... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowStrangemerges_32_YamShadow", "base_model": ["automerger/YamshadowStrangemerges_32-7B", "automerger/YamShadow-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "qu... | MaziyarPanahi/YamshadowStrangemerges_32_YamShadow | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/YamshadowStrangemerges_32-7B",
"base_model:automerger/YamShadow-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T21:33:07+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowStrangemerges_32-7B #base_model-automerger/YamShadow-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamshadowStrangemerges_32_YamShadow
YamshadowStrangemerges_32_YamShadow is a merge of the following models:
* automerger/YamshadowStrangemerges_32-7B
* automerger/YamShadow-7B
## Usage
| [
"# YamshadowStrangemerges_32_YamShadow\n\nYamshadowStrangemerges_32_YamShadow is a merge of the following models:\n* automerger/YamshadowStrangemerges_32-7B\n* automerger/YamShadow-7B",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowStrangemerges_32-7B #base_model-automerger/YamShadow-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# YamshadowStrangemerges_32_YamShadow\n\nYamshadowStrangemer... | [
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sentence-similarity | sentence-transformers |
# SentenceTransformer based on sentence-transformers/stsb-distilbert-base
This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/stsb-distilbert-base](https://huggingface.co/sentence-transformers/stsb-distilbert-base). It maps sentences & paragraphs to a 768-dimensional d... | {"language": [], "library_name": "sentence-transformers", "tags": ["sentence-transformers", "sentence-similarity", "feature-extraction", "generated"], "metrics": ["cosine_accuracy", "cosine_accuracy_threshold", "cosine_f1", "cosine_f1_threshold", "cosine_precision", "cosine_recall", "cosine_ap", "manhattan_accuracy", "... | tomaarsen/stsb-distilbert-base-quora-duplicate-questions | null | [
"sentence-transformers",
"safetensors",
"distilbert",
"sentence-similarity",
"feature-extraction",
"generated",
"arxiv:1908.10084",
"arxiv:1705.00652",
"base_model:sentence-transformers/stsb-distilbert-base",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-09T21:33:08+00:00 | [
"1908.10084",
"1705.00652"
] | [] | TAGS
#sentence-transformers #safetensors #distilbert #sentence-similarity #feature-extraction #generated #arxiv-1908.10084 #arxiv-1705.00652 #base_model-sentence-transformers/stsb-distilbert-base #model-index #endpoints_compatible #region-us
| SentenceTransformer based on sentence-transformers/stsb-distilbert-base
=======================================================================
This is a sentence-transformers model finetuned from sentence-transformers/stsb-distilbert-base. It maps sentences & paragraphs to a 768-dimensional dense vector space and ca... | [
"### Model Description\n\n\n* Model Type: Sentence Transformer\n* Base model: sentence-transformers/stsb-distilbert-base\n* Maximum Sequence Length: 128 tokens\n* Output Dimensionality: 768 tokens",
"### Model Sources\n\n\n* Documentation: Sentence Transformers Documentation\n* Repository: Sentence Transformers o... | [
"TAGS\n#sentence-transformers #safetensors #distilbert #sentence-similarity #feature-extraction #generated #arxiv-1908.10084 #arxiv-1705.00652 #base_model-sentence-transformers/stsb-distilbert-base #model-index #endpoints_compatible #region-us \n",
"### Model Description\n\n\n* Model Type: Sentence Transformer\n*... | [
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text-generation | transformers |
# Experiment28M7_ShadowCalme
Experiment28M7_ShadowCalme is a merge of the following models:
* [automerger/Experiment28M7-7B](https://huggingface.co/automerger/Experiment28M7-7B)
* [automerger/ShadowCalme-7B](https://huggingface.co/automerger/ShadowCalme-7B)
## 💻 Usage
```python
!pip install -qU transformers acce... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "Experiment28M7_ShadowCalme", "base_model": ["automerger/Experiment28M7-7B", "automerger/ShadowCalme-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quantized_by": "Mazi... | MaziyarPanahi/Experiment28M7_ShadowCalme | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/Experiment28M7-7B",
"base_model:automerger/ShadowCalme-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T21:33:52+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28M7-7B #base_model-automerger/ShadowCalme-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# Experiment28M7_ShadowCalme
Experiment28M7_ShadowCalme is a merge of the following models:
* automerger/Experiment28M7-7B
* automerger/ShadowCalme-7B
## Usage
| [
"# Experiment28M7_ShadowCalme\n\nExperiment28M7_ShadowCalme is a merge of the following models:\n* automerger/Experiment28M7-7B\n* automerger/ShadowCalme-7B",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28M7-7B #base_model-automerger/ShadowCalme-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# Experiment28M7_ShadowCalme\n\nExperiment28M7_ShadowCalme is a merge... | [
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"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/Experiment28M7-7B #base_model-automerger/ShadowCalme-7B #license-apache-2.0 #autotrain_compatible #region-us \n# Experiment28M7_ShadowCalme\n\nExperiment28M7_ShadowCalme is a merge of th... |
text-generation | transformers |
# MeliodasPercival_01_ShadowExperiment28
MeliodasPercival_01_ShadowExperiment28 is a merge of the following models:
* [automerger/MeliodasPercival_01-7B](https://huggingface.co/automerger/MeliodasPercival_01-7B)
* [automerger/ShadowExperiment28-7B](https://huggingface.co/automerger/ShadowExperiment28-7B)
## 💻 Usag... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "MeliodasPercival_01_ShadowExperiment28", "base_model": ["automerger/MeliodasPercival_01-7B", "automerger/ShadowExperiment28-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation... | MaziyarPanahi/MeliodasPercival_01_ShadowExperiment28 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/MeliodasPercival_01-7B",
"base_model:automerger/ShadowExperiment28-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T21:33:54+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/ShadowExperiment28-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# MeliodasPercival_01_ShadowExperiment28
MeliodasPercival_01_ShadowExperiment28 is a merge of the following models:
* automerger/MeliodasPercival_01-7B
* automerger/ShadowExperiment28-7B
## Usage
| [
"# MeliodasPercival_01_ShadowExperiment28\n\nMeliodasPercival_01_ShadowExperiment28 is a merge of the following models:\n* automerger/MeliodasPercival_01-7B\n* automerger/ShadowExperiment28-7B",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/MeliodasPercival_01-7B #base_model-automerger/ShadowExperiment28-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# MeliodasPercival_01_ShadowExperiment28\n\nMeliodasPerci... | [
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null | null |
# Enspiredjack/OpenSnark-Q4_K_M-GGUF
This model was converted to GGUF format from [`valine/OpenSnark`](https://huggingface.co/valine/OpenSnark) 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://huggingface.co/valine/O... | {"license": "apache-2.0", "tags": ["llama-cpp", "gguf-my-repo"]} | Enspiredjack/OpenSnark-Q4_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"license:apache-2.0",
"region:us"
] | null | 2024-04-09T21:34:03+00:00 | [] | [] | TAGS
#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us
|
# Enspiredjack/OpenSnark-Q4_K_M-GGUF
This model was converted to GGUF format from 'valine/OpenSnark' 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:
Note: You c... | [
"# Enspiredjack/OpenSnark-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'valine/OpenSnark' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\n\n\n\n... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us \n",
"# Enspiredjack/OpenSnark-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'valine/OpenSnark' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInst... | [
32,
70,
52
] | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #license-apache-2.0 #region-us \n# Enspiredjack/OpenSnark-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'valine/OpenSnark' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.## Use with URL\n\nInstall URL thro... |
text-generation | transformers |
# YamshadowInex12_Ognoexperiment27M7
YamshadowInex12_Ognoexperiment27M7 is a merge of the following models:
* [automerger/YamshadowInex12-7B](https://huggingface.co/automerger/YamshadowInex12-7B)
* [automerger/Ognoexperiment27M7-7B](https://huggingface.co/automerger/Ognoexperiment27M7-7B)
## 💻 Usage
```python
!p... | {"license": "apache-2.0", "tags": ["Safetensors", "text-generation-inference", "merge"], "model_name": "YamshadowInex12_Ognoexperiment27M7", "base_model": ["automerger/YamshadowInex12-7B", "automerger/Ognoexperiment27M7-7B"], "inference": false, "model_creator": "MaziyarPanahi", "pipeline_tag": "text-generation", "quan... | MaziyarPanahi/YamshadowInex12_Ognoexperiment27M7 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"Safetensors",
"text-generation-inference",
"merge",
"base_model:automerger/YamshadowInex12-7B",
"base_model:automerger/Ognoexperiment27M7-7B",
"license:apache-2.0",
"autotrain_compatible",
"region:us"
] | null | 2024-04-09T21:34:06+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowInex12-7B #base_model-automerger/Ognoexperiment27M7-7B #license-apache-2.0 #autotrain_compatible #region-us
|
# YamshadowInex12_Ognoexperiment27M7
YamshadowInex12_Ognoexperiment27M7 is a merge of the following models:
* automerger/YamshadowInex12-7B
* automerger/Ognoexperiment27M7-7B
## Usage
| [
"# YamshadowInex12_Ognoexperiment27M7\n\nYamshadowInex12_Ognoexperiment27M7 is a merge of the following models:\n* automerger/YamshadowInex12-7B\n* automerger/Ognoexperiment27M7-7B",
"## Usage"
] | [
"TAGS\n#transformers #safetensors #mistral #text-generation #Safetensors #text-generation-inference #merge #base_model-automerger/YamshadowInex12-7B #base_model-automerger/Ognoexperiment27M7-7B #license-apache-2.0 #autotrain_compatible #region-us \n",
"# YamshadowInex12_Ognoexperiment27M7\n\nYamshadowInex12_Ognoe... | [
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feature-extraction | transformers | # pet-shop-4_9062874564
## Model Description
pet-shop-4_9062874564 is a fine-tuned version of jina-embeddings-v2-base-en designed for a specific domain.
## Use Case
This model is designed to support various applications in natural language processing and understanding.
## Associated Dataset
This the dataset for th... | {} | florianhoenicke/pet-shop-4_9062874564 | null | [
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#transformers #safetensors #bert #feature-extraction #endpoints_compatible #region-us
| # pet-shop-4_9062874564
## Model Description
pet-shop-4_9062874564 is a fine-tuned version of jina-embeddings-v2-base-en designed for a specific domain.
## Use Case
This model is designed to support various applications in natural language processing and understanding.
## Associated Dataset
This the dataset for th... | [
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null | transformers |
# LeroyDyer/Mixtral_AI_CyberRolePlay_Orca-Q4_K_M-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_CyberRolePlay_Orca`](https://huggingface.co/LeroyDyer/Mixtral_AI_CyberRolePlay_Orca) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Ref... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "llama-cpp", "gguf-my-repo"], "base_model": "LeroyDyer/Mixtral_AI_CyberRolePlay"} | LeroyDyer/Mixtral_AI_CyberRolePlay_Orca-Q4_K_M-GGUF | null | [
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|
# LeroyDyer/Mixtral_AI_CyberRolePlay_Orca-Q4_K_M-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_CyberRolePlay_Orca' 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 ... | [
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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": []} | Ying7888/t5-lora-ar | null | [
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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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- License... | [
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null | null |
Hello, this is just a conversion of the Qwen 1.5 7B chat to rkllm, a model format that can run nativly on a rk3588/rk3576 chipset like an orange pi 5 (rk3588)
Also as far as the license is concerned, I just copied it from the orignal qwen file. it seems to be the llm format name, not a license name, I will upda... | {"license": "other", "license_name": "tongyi-qianwen", "license_link": "LICENSE"} | kalabaddon/Qwen1.5-7B-Chat-rkllm | null | [
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|
Hello, this is just a conversion of the Qwen 1.5 7B chat to rkllm, a model format that can run nativly on a rk3588/rk3576 chipset like an orange pi 5 (rk3588)
Also as far as the license is concerned, I just copied it from the orignal qwen file. it seems to be the llm format name, not a license name, I will upda... | [] | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Grayx/unstable_694202 | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # Prox 7B SFT
By OpenVoid AI
Discord: https://discord.gg/CBDAbKkgNV
<img src="https://cdn.openvoid.ai/images/prox-7b.png" width="600" />
## Model description
This model is based on [Mistral-7b-v0.2](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf) a new base model released by MistralAI on March 23, 2024 but th... | {"language": ["en"], "license": "apache-2.0", "tags": ["code", "cybersecurity", "penetration testing", "hacking"]} | openvoid/prox-7b-sft | null | [
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| # Prox 7B SFT
By OpenVoid AI
Discord: URL
<img src="URL width="600" />
## Model description
This model is based on Mistral-7b-v0.2 a new base model released by MistralAI on March 23, 2024 but they have not yet published on HuggingFace. It has been fine-tuned on a dataset containing information related to hacking a... | [
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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": []} | Konstantinos/meltemi_songwriter | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # 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 [Model Stock](https://arxiv.org/abs/2403.19522) merge method using [Trendyol/Trendyol-LLM-7b-chat-dpo-v1.0](https://huggingface.co/Tren... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["Trendyol/Trendyol-LLM-7b-chat-dpo-v1.0", "TURKCELL/Turkcell-LLM-7b-v1", "Trendyol/Trendyol-LLM-7b-chat-v1.0"]} | burak/Trendyol-Turkcell-stock | null | [
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This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the Model Stock merge method using Trendyol/Trendyol-LLM-7b-chat-dpo-v1.0 as a base.
### Models Merged
The following models were included in the merge:
* TURKCELL/Turkcell-LL... | [
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null | transformers |
# LeroyDyer/Mixtral_AI_Cyber_SmartBrain_2_0-Q4_K_M-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_Cyber_SmartBrain_2_0`](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_SmartBrain_2_0) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) spac... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "music", "Cyber-Series", "llama-cpp", "gguf-my-repo"], "datasets": ["WhiteRabbitNeo/WRN-Chapter-1"], "base_model": "LeroyDyer/Mixtral_AI_Cyber_3.1"} | LeroyDyer/Mixtral_AI_Cyber_SmartBrain_2_0-Q4_K_M-GGUF | null | [
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|
# LeroyDyer/Mixtral_AI_Cyber_SmartBrain_2_0-Q4_K_M-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_Cyber_SmartBrain_2_0' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server... | [
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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": []} | HuaminChen/TinyLlma-1.1B-alpaca_2k | null | [
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#transformers #safetensors #llama #text-generation #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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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. -->
# primera-pubmed-20k
This model is a fine-tuned version of [allenai/PRIMERA](https://huggingface.co/allenai/PRIMERA) on the None d... | {"tags": ["generated_from_trainer"], "base_model": "allenai/PRIMERA", "model-index": [{"name": "primera-pubmed-20k", "results": []}]} | Chung-Fan/primera-pubmed-20k | null | [
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#transformers #safetensors #led #text2text-generation #generated_from_trainer #base_model-allenai/PRIMERA #autotrain_compatible #endpoints_compatible #region-us
| primera-pubmed-20k
==================
This model is a fine-tuned version of allenai/PRIMERA on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9689
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More in... | [
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