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text-generation | transformers |
---
## Developed by :
* K2S3
## Model Number:
* K2S3-Mistral-7b-v1.48
## Base Model :
* mistralai/Mistral-7B-v0.1
### Training Data
* The training data for this model includes alpaca-gpt4-data, and samples from The OpenOrca Dataset.
* 이 모델의 훈련 데이터에는 alpaca-gpt4-data, 그리고 OpenOrca Dataset에서 제공한 샘플들이 포함됩니다.
### Tr... | {"language": ["en", "ko"], "license": "cc-by-nc-4.0"} | Changgil/K2S3-Mistral-7b-v1.48 | null | [
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|
---
## Developed by :
* K2S3
## Model Number:
* K2S3-Mistral-7b-v1.48
## Base Model :
* mistralai/Mistral-7B-v0.1
### Training Data
* The training data for this model includes alpaca-gpt4-data, and samples from The OpenOrca Dataset.
* 이 모델의 훈련 데이터에는 alpaca-gpt4-data, 그리고 OpenOrca Dataset에서 제공한 샘플들이 포함됩니다.
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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": []} | Erfan-Shayegani/llama2-lora_Unlearned_bad_weight_5e-1 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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text-generation | transformers |
## VAGO solutions SauerkrautLM-Qwen-32b
Introducing **SauerkrautLM-Qwen-32b** – our Sauerkraut version of the powerful [Qwen/Qwen1.5-32B](https://huggingface.co/Qwen/Qwen1.5-32B)!
The model **Sauer... | {"language": ["de", "en"], "license": "other", "tags": ["sft", "dpo"], "license_name": "tongyi-qianwen-research", "license_link": "https://huggingface.co/Qwen/Qwen1.5-32B/blob/main/LICENSE"} | blockblockblock/SauerkrautLM-Qwen-32b-bpw3 | null | [
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| !SauerkrautLM
VAGO solutions SauerkrautLM-Qwen-32b
------------------------------------
Introducing SauerkrautLM-Qwen-32b – our Sauerkraut version of the powerful Qwen/Qwen1.5-32B!
The model SauerkrautLM-Qwen-32b is a joint effort between VAGO solutions and URL.
* Finetuned with SFT
* Aligned with DPO
Table o... | [
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0414H1
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
I... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0414H1", "results": []}]} | Litzy619/V0414H1 | null | [
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| V0414H1
=======
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0480
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
T... | [
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feature-extraction | 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. -->
# finetuned_bge_ver11_continue
This model is a fine-tuned version of [comet24082002/finetuned_bge_ver11](https://huggingface.co/co... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "comet24082002/finetuned_bge_ver11", "model-index": [{"name": "finetuned_bge_ver11_continue", "results": []}]} | comet24082002/finetuned_bge_ver11_continue | null | [
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|
# finetuned_bge_ver11_continue
This model is a fine-tuned version of comet24082002/finetuned_bge_ver11 on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "microsoft/phi-2"} | nk555/phi-2-experiment_ppo_quantized_300 | null | [
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sentence-similarity | sentence-transformers |
# Mahedi420/Bangla-bert-improved-version
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using thi... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | mahedi420/Bangla-bert-improved-version | null | [
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|
# Mahedi420/Bangla-bert-improved-version
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
mistral-7b-sft-beta - bnb 4bits
- Model creator: https://huggingface.co/HuggingFaceH4/
- Original model: https://huggingface... | {} | RichardErkhov/HuggingFaceH4_-_mistral-7b-sft-beta-4bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
mistral-7b-sft-beta - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: mit
base\_model: mistralai/Mistral-7B-v0.1
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | tom-brady/sn6_246 | null | [
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
mistral-7b-sft-beta - bnb 8bits
- Model creator: https://huggingface.co/HuggingFaceH4/
- Original model: https://huggingface... | {} | RichardErkhov/HuggingFaceH4_-_mistral-7b-sft-beta-8bits | null | [
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#transformers #safetensors #mistral #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #8-bit #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
mistral-7b-sft-beta - bnb 8bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
license: mit
base\_model: mistralai/Mistral-7B-v0.1
tags:
* generated\_from\_trainer
model-index:
* n... | [
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null | adapter-transformers |
## Hyperparameter
```bash
deepspeed --include localhost:0,1,2,3 sft.py --deepspeed dp_zero3.json \
--model_name_or_path="/home/shenyl/cached_models/meta-llama/Llama-2-7b-chat-hf" \
--dataset_name="timdettmers/openassistant-guanaco" \
--dataset_text_field="text" \
--report_to="tensorboard" \
--lear... | {"license": "apache-2.0", "library_name": "adapter-transformers", "datasets": ["timdettmers/openassistant-guanaco"]} | tricktreat/Llama-2-7b-chat-hf-guanaco | null | [
"adapter-transformers",
"tensorboard",
"safetensors",
"llama",
"dataset:timdettmers/openassistant-guanaco",
"license:apache-2.0",
"region:us"
] | null | 2024-04-15T04:26:04+00:00 | [] | [] | TAGS
#adapter-transformers #tensorboard #safetensors #llama #dataset-timdettmers/openassistant-guanaco #license-apache-2.0 #region-us
|
## Hyperparameter
## Dataset
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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": []} | heyllm234/sc19 | null | [
"transformers",
"safetensors",
"stablelm",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T04:26:12+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #stablelm #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** liminerity
- **License:** apache-2.0
- **Finetuned from model :** liminerity/Bitnet-Mistral.0.2-70m
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslotha... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "liminerity/Bitnet-Mistral.0.2-70m"} | liminerity/bitnet-mistral-alpaca-70m | null | [
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"license:apache-2.0",
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"endpoints_compatible",
"region:us"
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"en"
] | TAGS
#transformers #pytorch #mistral #text-generation #text-generation-inference #unsloth #trl #conversational #en #base_model-liminerity/Bitnet-Mistral.0.2-70m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: liminerity
- License: apache-2.0
- Finetuned from model : liminerity/Bitnet-Mistral.0.2-70m
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: liminerity\n- License: apache-2.0\n- Finetuned from model : liminerity/Bitnet-Mistral.0.2-70m\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
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text-generation | transformers |
## Llamacpp Quantizations of c4ai-command-r-plus
Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b2636">b2636</a> for quantization.
Original model: https://huggingface.co/CohereForAI/c4ai-command-r-plus
## Prompt format
```
... | {"language": ["en", "fr", "de", "es", "it", "pt", "ja", "ko", "zh", "ar"], "license": "cc-by-nc-4.0", "library_name": "transformers", "quantized_by": "bartowski", "pipeline_tag": "text-generation"} | bartowski/c4ai-command-r-plus-GGUF | null | [
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"text-generation",
"en",
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"es",
"it",
"pt",
"ja",
"ko",
"zh",
"ar",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T04:26:30+00:00 | [] | [
"en",
"fr",
"de",
"es",
"it",
"pt",
"ja",
"ko",
"zh",
"ar"
] | TAGS
#transformers #gguf #text-generation #en #fr #de #es #it #pt #ja #ko #zh #ar #license-cc-by-nc-4.0 #endpoints_compatible #region-us
| Llamacpp Quantizations of c4ai-command-r-plus
---------------------------------------------
Using <a href="URL release <a href="URL for quantization.
Original model: URL
Prompt format
-------------
Download a file (not the whole branch) from below:
--------------------------------------------------
Which fil... | [] | [
"TAGS\n#transformers #gguf #text-generation #en #fr #de #es #it #pt #ja #ko #zh #ar #license-cc-by-nc-4.0 #endpoints_compatible #region-us \n"
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] |
image-text-to-text | transformers |
4-bit AWQ-quantized version of [HuggingFaceM4/idefics2-8b-base](https://huggingface.co/HuggingFaceM4/idefics2-8b-base). Refer to the original model's card for more information (including inference snippet).
| {"language": ["en"], "license": "apache-2.0", "tags": ["multimodal", "vision", "image-text-to-text", "quantized", "4-bit", "AWQ"], "datasets": ["HuggingFaceM4/OBELICS", "laion/laion-coco", "wikipedia", "facebook/pmd", "pixparse/idl-wds", "pixparse/pdfa-eng-wds", "wendlerc/RenderedText", "HuggingFaceM4/the_cauldron", "t... | HuggingFaceM4/idefics2-8b-base-AWQ | null | [
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"dataset:pi... | null | 2024-04-15T04:26:52+00:00 | [] | [
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4-bit AWQ-quantized version of HuggingFaceM4/idefics2-8b-base. Refer to the original model's card for more information (including inference snippet).
| [] | [
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null | transformers |
# LeroyDyer/Mixtral_AI_Cyber_MegaMind_1x4_SFT-Q4_K_M-GGUF
This model was converted to GGUF format from [`LeroyDyer/Mixtral_AI_Cyber_MegaMind_1x4_SFT`](https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_MegaMind_1x4_SFT) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["chemistry", "biology", "code", "medical", "not-for-all-audiences", "Cyber-Series", "llama-cpp", "gguf-my-repo"], "metrics": ["accuracy", "bertscore", "bleu", "brier_score", "code_eval", "chrf", "charcut_mt", "character", "cer"]} | LeroyDyer/Mixtral_AI_Cyber_MegaMind_1x4_SFT-Q4_K_M-GGUF | null | [
"transformers",
"gguf",
"chemistry",
"biology",
"code",
"medical",
"not-for-all-audiences",
"Cyber-Series",
"llama-cpp",
"gguf-my-repo",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T04:31:04+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #chemistry #biology #code #medical #not-for-all-audiences #Cyber-Series #llama-cpp #gguf-my-repo #en #license-apache-2.0 #endpoints_compatible #region-us
|
# LeroyDyer/Mixtral_AI_Cyber_MegaMind_1x4_SFT-Q4_K_M-GGUF
This model was converted to GGUF format from 'LeroyDyer/Mixtral_AI_Cyber_MegaMind_1x4_SFT' 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 se... | [
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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?"}]}]} | shaswatamitra/aimaven-prometheus-finetuned2 | null | [
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"autotrain",
"text-generation-inference",
"text-generation",
"peft",
"conversational",
"license:other",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T04:31:22+00:00 | [] | [] | TAGS
#transformers #safetensors #autotrain #text-generation-inference #text-generation #peft #conversational #license-other #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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null | null |
# gate369/Bitnet-M7-70m-Q8_0-GGUF
This model was converted to GGUF format from [`liminerity/Bitnet-M7-70m`](https://huggingface.co/liminerity/Bitnet-M7-70m) 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://huggingfac... | {"tags": ["Mistral", "1bit", "bitnet", "abideen", "M7", "Liminerity", "llama-cpp", "gguf-my-repo"], "datasets": ["abideen/Cosmopedia-100k-pretrain"]} | gate369/Bitnet-M7-70m-Q8_0-GGUF | null | [
"gguf",
"Mistral",
"1bit",
"bitnet",
"abideen",
"M7",
"Liminerity",
"llama-cpp",
"gguf-my-repo",
"dataset:abideen/Cosmopedia-100k-pretrain",
"region:us"
] | null | 2024-04-15T04:31:49+00:00 | [] | [] | TAGS
#gguf #Mistral #1bit #bitnet #abideen #M7 #Liminerity #llama-cpp #gguf-my-repo #dataset-abideen/Cosmopedia-100k-pretrain #region-us
|
# gate369/Bitnet-M7-70m-Q8_0-GGUF
This model was converted to GGUF format from 'liminerity/Bitnet-M7-70m' 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: ... | [
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text-generation | transformers |
## Matter 32B - 0.2 (Qwen 32B 0.2 Finetune)
Matter 32B 0.2 is finetune on the **Matter 0.2 dataset**, which is curated from over 35 datsets analyzing >6B tokens
### Recommended Usage for best results
System Prompt - `You are a helpful assistant`
### Training
Prompt format: This model uses ChatML prompt format.
```... | {"language": ["en"], "license": "apache-2.0", "datasets": ["0-hero/Matter-0.2-alpha-Slim-A"]} | 0-hero/Matter-0.2-32B | null | [
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"safetensors",
"qwen2",
"text-generation",
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"en",
"dataset:0-hero/Matter-0.2-alpha-Slim-A",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-15T04:35:10+00:00 | [] | [
"en"
] | TAGS
#transformers #pytorch #safetensors #qwen2 #text-generation #conversational #en #dataset-0-hero/Matter-0.2-alpha-Slim-A #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
## Matter 32B - 0.2 (Qwen 32B 0.2 Finetune)
Matter 32B 0.2 is finetune on the Matter 0.2 dataset, which is curated from over 35 datsets analyzing >6B tokens
### Recommended Usage for best results
System Prompt - 'You are a helpful assistant'
### Training
Prompt format: This model uses ChatML prompt format.
### Fu... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
static quants of https://huggingface.co/K00B404/BagOMistral_14X_Coders-ties-7B
<!-- provided-files -->
weighted/imatrix quants seem not to be available (by me) at this time. If they ... | {"language": ["en"], "library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": "K00B404/BagOMistral_14X_Coders-ties-7B", "quantized_by": "mradermacher"} | mradermacher/BagOMistral_14X_Coders-ties-7B-GGUF | null | [
"transformers",
"gguf",
"mergekit",
"merge",
"en",
"base_model:K00B404/BagOMistral_14X_Coders-ties-7B",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T04:35:35+00:00 | [] | [
"en"
] | TAGS
#transformers #gguf #mergekit #merge #en #base_model-K00B404/BagOMistral_14X_Coders-ties-7B #endpoints_compatible #region-us
| About
-----
static quants of URL
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
-----
If you are unsure how to use GGUF file... | [] | [
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null | transformers |
# gate369/bitmap-mistral-alpaca-70m-Q8_0-GGUF
This model was converted to GGUF format from [`liminerity/bitmap-mistral-alpaca-70m`](https://huggingface.co/liminerity/bitmap-mistral-alpaca-70m) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [ori... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl", "llama-cpp", "gguf-my-repo"], "base_model": "liminerity/Bitnet-Mistral.0.2-70m"} | gate369/bitmap-mistral-alpaca-70m-Q8_0-GGUF | null | [
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"license:apache-2.0",
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|
# gate369/bitmap-mistral-alpaca-70m-Q8_0-GGUF
This model was converted to GGUF format from 'liminerity/bitmap-mistral-alpaca-70m' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
C... | [
"# gate369/bitmap-mistral-alpaca-70m-Q8_0-GGUF\nThis model was converted to GGUF format from 'liminerity/bitmap-mistral-alpaca-70m' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL serve... | [
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null | null |
# DavidAU/Ana-v1-m7-Q8_0-GGUF
This model was converted to GGUF format from [`Sao10K/Ana-v1-m7`](https://huggingface.co/Sao10K/Ana-v1-m7) 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/Sao10K/Ana-v1-m... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Ana-v1-m7-Q8_0-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-15T04:37:08+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-cc-by-nc-4.0 #region-us
|
# DavidAU/Ana-v1-m7-Q8_0-GGUF
This model was converted to GGUF format from 'Sao10K/Ana-v1-m7' 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 can also... | [
"# DavidAU/Ana-v1-m7-Q8_0-GGUF\nThis model was converted to GGUF format from 'Sao10K/Ana-v1-m7' 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\nServer:... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #license-cc-by-nc-4.0 #region-us \n",
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"## Use with URL\n\nInsta... | [
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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. -->
# fineturning
This model is a fine-tuned version of [Aviral2412/mini_model](https://huggingface.co/Aviral2412/mini_model) on the N... | {"tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "Aviral2412/mini_model", "model-index": [{"name": "fineturning", "results": []}]} | Aviral2412/fineturning | null | [
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"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"base_model:Aviral2412/mini_model",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T04:37:43+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #base_model-Aviral2412/mini_model #endpoints_compatible #region-us
| fineturning
===========
This model is a fine-tuned version of Aviral2412/mini\_model on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 2.7515
* Wer: 1.0
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
Mor... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps:... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train... | [
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"TAGS\n#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #base_model-Aviral2412/mini_model #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_bat... |
null | null |
# DavidAU/BrainDerp-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/BrainDerp`](https://huggingface.co/Sao10K/BrainDerp) 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/Sao10K/BrainDer... | {"language": ["en"], "license": "llama2", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/BrainDerp-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"license:llama2",
"region:us"
] | null | 2024-04-15T04:38:48+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-llama2 #region-us
|
# DavidAU/BrainDerp-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/BrainDerp' 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 can also... | [
"# DavidAU/BrainDerp-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/BrainDerp' 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\nServer:... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #license-llama2 #region-us \n",
"# DavidAU/BrainDerp-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/BrainDerp' 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... | [
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"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #license-llama2 #region-us \n# DavidAU/BrainDerp-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/BrainDerp' 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 bre... |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | OwOOwO/dumbo-krillin2 | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-15T04:41:08+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #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)... | [
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_doccls_korean_model
This model is a fine-tuned version of [beomi/kcbert-base](https://huggingface.co/beomi/kcbert-base) on an... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "beomi/kcbert-base", "model-index": [{"name": "my_doccls_korean_model", "results": []}]} | dudu1021/my_doccls_korean_model | null | [
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"pytorch",
"tensorboard",
"safetensors",
"bert",
"text-classification",
"generated_from_trainer",
"base_model:beomi/kcbert-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T04:41:35+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-beomi/kcbert-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| my\_doccls\_korean\_model
=========================
This model is a fine-tuned version of beomi/kcbert-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5416
* Accuracy: 0.8856
Model description
-----------------
More information needed
Intended uses & limitations
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 4",
"### Training... | [
"TAGS\n#transformers #pytorch #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-beomi/kcbert-base #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... | [
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"TAGS\n#transformers #pytorch #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-beomi/kcbert-base #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* lear... |
null | null |
# DavidAU/Ana-v1-m7-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/Ana-v1-m7`](https://huggingface.co/Sao10K/Ana-v1-m7) 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/Sao10K/Ana-v1-m... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Ana-v1-m7-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-15T04:44:38+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-cc-by-nc-4.0 #region-us
|
# DavidAU/Ana-v1-m7-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/Ana-v1-m7' 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 can also... | [
"# DavidAU/Ana-v1-m7-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/Ana-v1-m7' 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\nServer:... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #license-cc-by-nc-4.0 #region-us \n",
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"## Use with URL\n\nInsta... | [
38,
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"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #license-cc-by-nc-4.0 #region-us \n# DavidAU/Ana-v1-m7-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/Ana-v1-m7' 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 throu... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_opus_books_model
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown data... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "t5-small", "model-index": [{"name": "my_awesome_opus_books_model", "results": []}]} | elrosech/my_awesome_opus_books_model | null | [
"transformers",
"tensorboard",
"safetensors",
"t5",
"text2text-generation",
"generated_from_trainer",
"base_model:t5-small",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-15T04:46:20+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-t5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| my\_awesome\_opus\_books\_model
===============================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1914
* Bleu: 0.2322
* Gen Len: 18.1511
Model description
-----------------
More information needed
Intended u... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2\n* mixed\\_prec... | [
"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-t5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during trainin... | [
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"TAGS\n#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-t5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n... |
null | null |
# DavidAU/BrainDerp2-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/BrainDerp2`](https://huggingface.co/Sao10K/BrainDerp2) 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/Sao10K/Brain... | {"language": ["en"], "license": "llama2", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/BrainDerp2-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"license:llama2",
"region:us"
] | null | 2024-04-15T04:46:38+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-llama2 #region-us
|
# DavidAU/BrainDerp2-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/BrainDerp2' 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 can al... | [
"# DavidAU/BrainDerp2-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/BrainDerp2' 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\nServe... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #license-llama2 #region-us \n",
"# DavidAU/BrainDerp2-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/BrainDerp2' 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 U... | [
32,
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"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #license-llama2 #region-us \n# DavidAU/BrainDerp2-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/BrainDerp2' 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 b... |
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. -->
# German_intent
This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.co/disti... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "distilbert/distilbert-base-multilingual-cased", "model-index": [{"name": "German_intent", "results": []}]} | HarikaR/German_intent | null | [
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"tensorboard",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert/distilbert-base-multilingual-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T04:47:59+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert/distilbert-base-multilingual-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| German\_intent
==============
This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1825
* Accuracy: 0.9684
Model description
-----------------
More information needed
Intended uses & limita... | [
"### 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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null | null |
# DavidAU/BrainDerp3-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/BrainDerp3`](https://huggingface.co/Sao10K/BrainDerp3) 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/Sao10K/Brain... | {"language": ["en"], "license": "llama2", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/BrainDerp3-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"license:llama2",
"region:us"
] | null | 2024-04-15T04:51:06+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-llama2 #region-us
|
# DavidAU/BrainDerp3-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/BrainDerp3' 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 can al... | [
"# DavidAU/BrainDerp3-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/BrainDerp3' 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\nServe... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #license-llama2 #region-us \n",
"# DavidAU/BrainDerp3-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/BrainDerp3' 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 U... | [
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null | transformers |
# Uploaded model
- **Developed by:** quangcodecode
- **License:** apache-2.0
- **Finetuned from model :** Viet-Mistral/Vistral-7B-Chat
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "Viet-Mistral/Vistral-7B-Chat"} | quangcodecode/lora_adapter_v0.5 | null | [
"transformers",
"safetensors",
"text-generation-inference",
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"mistral",
"trl",
"en",
"base_model:Viet-Mistral/Vistral-7B-Chat",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T04:51:57+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-Viet-Mistral/Vistral-7B-Chat #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: quangcodecode
- License: apache-2.0
- Finetuned from model : Viet-Mistral/Vistral-7B-Chat
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: quangcodecode\n- License: apache-2.0\n- Finetuned from model : Viet-Mistral/Vistral-7B-Chat\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<img src=\"URL width=\"200\"/>"
] | [
"TAGS\n#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-Viet-Mistral/Vistral-7B-Chat #license-apache-2.0 #endpoints_compatible #region-us \n",
"# Uploaded model\n\n- Developed by: quangcodecode\n- License: apache-2.0\n- Finetuned from model : Viet-Mistral/Vistral-7B-Ch... | [
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null | null |
# DavidAU/Chat-Stheno-L2-13B-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/Chat-Stheno-L2-13B`](https://huggingface.co/Sao10K/Chat-Stheno-L2-13B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://hug... | {"language": ["en"], "license": "llama2", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Chat-Stheno-L2-13B-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"license:llama2",
"region:us"
] | null | 2024-04-15T04:52:44+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-llama2 #region-us
|
# DavidAU/Chat-Stheno-L2-13B-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/Chat-Stheno-L2-13B' 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:
... | [
"# DavidAU/Chat-Stheno-L2-13B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/Chat-Stheno-L2-13B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nC... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #license-llama2 #region-us \n",
"# DavidAU/Chat-Stheno-L2-13B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/Chat-Stheno-L2-13B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with ... | [
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"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #license-llama2 #region-us \n# DavidAU/Chat-Stheno-L2-13B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/Chat-Stheno-L2-13B' 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\nInsta... |
null | null |
# DavidAU/Fimbulvetr-10.7B-v1-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/Fimbulvetr-10.7B-v1`](https://huggingface.co/Sao10K/Fimbulvetr-10.7B-v1) 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://... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Fimbulvetr-10.7B-v1-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-15T04:54:12+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-cc-by-nc-4.0 #region-us
|
# DavidAU/Fimbulvetr-10.7B-v1-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/Fimbulvetr-10.7B-v1' 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:
... | [
"# DavidAU/Fimbulvetr-10.7B-v1-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/Fimbulvetr-10.7B-v1' 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\... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #license-cc-by-nc-4.0 #region-us \n",
"# DavidAU/Fimbulvetr-10.7B-v1-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/Fimbulvetr-10.7B-v1' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## U... | [
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text2text-generation | transformers |
## Project InterACT
This model is a part of Project InterACT (Multi model AI system) involving an object detection model and an LLM
This is a model built by finetuning the flan-t5-small model on custom dataset: Jithendra-k/Flan_T5_InterACT.
Here are some plots of model performance during training:<br>
Here is an E... | {"license": "mit"} | Jithendra-k/Flan_T5_InterACT | null | [
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"pytorch",
"t5",
"text2text-generation",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-15T04:54:32+00:00 | [] | [] | TAGS
#transformers #pytorch #t5 #text2text-generation #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
## Project InterACT
This model is a part of Project InterACT (Multi model AI system) involving an object detection model and an LLM
This is a model built by finetuning the flan-t5-small model on custom dataset: Jithendra-k/Flan_T5_InterACT.
Here are some plots of model performance during training:<br>
Here is an E... | [
"## Project InterACT\nThis model is a part of Project InterACT (Multi model AI system) involving an object detection model and an LLM\n\nThis is a model built by finetuning the flan-t5-small model on custom dataset: Jithendra-k/Flan_T5_InterACT.\n\nHere are some plots of model performance during training:<br>\n\n\n... | [
"TAGS\n#transformers #pytorch #t5 #text2text-generation #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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"TAGS\n#transformers #pytorch #t5 #text2text-generation #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n## Project InterACT\nThis model is a part of Project InterACT (Multi model AI system) involving an object detection model and an LLM\n\nThis is a model built by fi... |
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. -->
# falcon-7b-instruct-bf16-finetuned-noqa_own_april_15
This model is a fine-tuned version of [tiiuae/falcon-7b-instruct](https://hu... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "tiiuae/falcon-7b-instruct", "model-index": [{"name": "falcon-7b-instruct-bf16-finetuned-noqa_own_april_15", "results": []}]} | Ray011/falcon-7b-instruct-bf16-finetuned-noqa_own_april_15 | null | [
"peft",
"tensorboard",
"safetensors",
"generated_from_trainer",
"base_model:tiiuae/falcon-7b-instruct",
"license:apache-2.0",
"region:us"
] | null | 2024-04-15T04:56:20+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #generated_from_trainer #base_model-tiiuae/falcon-7b-instruct #license-apache-2.0 #region-us
| falcon-7b-instruct-bf16-finetuned-noqa\_own\_april\_15
======================================================
This model is a fine-tuned version of tiiuae/falcon-7b-instruct on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3735
Model description
-----------------
More in... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 8\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 8\n... | [
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"TAGS\n#peft #tensorboard #safetensors #generated_from_trainer #base_model-tiiuae/falcon-7b-instruct #license-apache-2.0 #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 8\n* seed... |
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. -->
# dolly-v2-3b-finetuned-medmcqa
This model is a fine-tuned version of [databricks/dolly-v2-3b](https://huggingface.co/databricks/d... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "databricks/dolly-v2-3b", "model-index": [{"name": "dolly-v2-3b-finetuned-medmcqa", "results": []}]} | sjhpark/dolly-v2-3b-finetuned-medmcqa | null | [
"peft",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"base_model:databricks/dolly-v2-3b",
"license:mit",
"region:us"
] | null | 2024-04-15T05:08:24+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-databricks/dolly-v2-3b #license-mit #region-us
|
# dolly-v2-3b-finetuned-medmcqa
This model is a fine-tuned version of databricks/dolly-v2-3b on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyp... | [
"# dolly-v2-3b-finetuned-medmcqa\n\nThis model is a fine-tuned version of databricks/dolly-v2-3b on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training p... | [
"TAGS\n#peft #safetensors #trl #sft #generated_from_trainer #base_model-databricks/dolly-v2-3b #license-mit #region-us \n",
"# dolly-v2-3b-finetuned-medmcqa\n\nThis model is a fine-tuned version of databricks/dolly-v2-3b on the None dataset.",
"## Model description\n\nMore information needed",
"## Intended us... | [
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audio-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# music-genre-classifer-20-finetuned-gtzan
This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/nt... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["marsyas/gtzan"], "metrics": ["accuracy"], "base_model": "ntu-spml/distilhubert", "model-index": [{"name": "music-genre-classifer-20-finetuned-gtzan", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "datase... | vadhri/distilhubert-finetuned-gtzan | null | [
"transformers",
"tensorboard",
"safetensors",
"hubert",
"audio-classification",
"generated_from_trainer",
"dataset:marsyas/gtzan",
"base_model:ntu-spml/distilhubert",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T05:10:11+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #hubert #audio-classification #generated_from_trainer #dataset-marsyas/gtzan #base_model-ntu-spml/distilhubert #license-apache-2.0 #model-index #endpoints_compatible #region-us
| music-genre-classifer-20-finetuned-gtzan
========================================
This model is a fine-tuned version of ntu-spml/distilhubert on the GTZAN dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1035
* Accuracy: 0.87
Model description
-----------------
More information needed... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_ratio: ... | [
"TAGS\n#transformers #tensorboard #safetensors #hubert #audio-classification #generated_from_trainer #dataset-marsyas/gtzan #base_model-ntu-spml/distilhubert #license-apache-2.0 #model-index #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during tra... | [
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null | null |
# DavidAU/Fimbulvetr-11B-v2-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/Fimbulvetr-11B-v2`](https://huggingface.co/Sao10K/Fimbulvetr-11B-v2) 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://huggin... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Fimbulvetr-11B-v2-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-15T05:10:52+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-cc-by-nc-4.0 #region-us
|
# DavidAU/Fimbulvetr-11B-v2-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/Fimbulvetr-11B-v2' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
No... | [
"# DavidAU/Fimbulvetr-11B-v2-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/Fimbulvetr-11B-v2' 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... | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #license-cc-by-nc-4.0 #region-us \n",
"# DavidAU/Fimbulvetr-11B-v2-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/Fimbulvetr-11B-v2' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use w... | [
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"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #license-cc-by-nc-4.0 #region-us \n# DavidAU/Fimbulvetr-11B-v2-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/Fimbulvetr-11B-v2' 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\nI... |
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:
* [WizardLM/WizardMath-7B-V1.1](https://huggin... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["WizardLM/WizardMath-7B-V1.1", "NousResearch/Hermes-2-Pro-Mistral-7B"]} | mergekit-community/mergekit-slerp-bqvdymn | null | [
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] | null | 2024-04-15T05:11:18+00:00 | [] | [] | TAGS
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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:
* WizardLM/WizardMath-7B-V1.1
* NousResearch/Hermes-2-Pro-Mistral-7B
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
mistral-7b-sft-beta - GGUF
- Model creator: https://huggingface.co/HuggingFaceH4/
- Original model: https://huggingface.co/H... | {} | RichardErkhov/HuggingFaceH4_-_mistral-7b-sft-beta-gguf | null | [
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] | null | 2024-04-15T05:14:09+00:00 | [] | [] | TAGS
#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
mistral-7b-sft-beta - GGUF
* Model creator: URL
* Original model: URL
Name: mistral-7b-sft-beta.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.53GB
Name: mistral-7b-sft-beta.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 2.81GB
Name: mistral-7b-s... | [
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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. -->
# fluent-clean-wav2vec
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-bas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "facebook/wav2vec2-base", "model-index": [{"name": "fluent-clean-wav2vec", "results": []}]} | holmes26/fluent-clean-wav2vec | null | [
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] | null | 2024-04-15T05:16:14+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #wav2vec2 #automatic-speech-recognition #generated_from_trainer #base_model-facebook/wav2vec2-base #license-apache-2.0 #endpoints_compatible #region-us
| fluent-clean-wav2vec
====================
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0100
* Wer: 0.2638
Model description
-----------------
More information needed
Intended uses & limitations
----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_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. -->
# Qwen1.5-0.5B-finetuned-medmcqa
This model is a fine-tuned version of [Qwen/Qwen1.5-0.5B](https://huggingface.co/Qwen/Qwen1.5-0.5... | {"license": "other", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "Qwen/Qwen1.5-0.5B", "model-index": [{"name": "Qwen1.5-0.5B-finetuned-medmcqa", "results": []}]} | sjhpark/Qwen1.5-0.5B-finetuned-medmcqa | null | [
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"base_model:Qwen/Qwen1.5-0.5B",
"license:other",
"region:us"
] | null | 2024-04-15T05:16:52+00:00 | [] | [] | TAGS
#peft #safetensors #trl #sft #generated_from_trainer #base_model-Qwen/Qwen1.5-0.5B #license-other #region-us
|
# Qwen1.5-0.5B-finetuned-medmcqa
This model is a fine-tuned version of Qwen/Qwen1.5-0.5B on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperpa... | [
"# Qwen1.5-0.5B-finetuned-medmcqa\n\nThis model is a fine-tuned version of Qwen/Qwen1.5-0.5B on the None dataset.",
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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. -->
# gemini-all-data20240415_051850
This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b... | {"license": "gemma", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "google/gemma-2b-it", "model-index": [{"name": "gemini-all-data20240415_051850", "results": []}]} | mooo16/gemini-all-data20240415_051850 | null | [
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| gemini-all-data20240415\_051850
===============================
This model is a fine-tuned version of google/gemma-2b-it on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1342
Model description
-----------------
More information needed
Intended uses & limitations
------... | [
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null | transformers |
# Uploaded model
- **Developed by:** eruzak
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | eruzak/unsloth_mistral_predict_prompt_RL_v3 | null | [
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|
# Uploaded model
- Developed by: eruzak
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-finetuned-eurosat
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](ht... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "swin-tiny-patch4-window7-224-finetuned-eurosat", "results": [{"task": {"type": "image-classification", "name": "Image Clas... | tsware/swin-tiny-patch4-window7-224-finetuned-eurosat | null | [
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| swin-tiny-patch4-window7-224-finetuned-eurosat
==============================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0000
* Accuracy: 1.0
Model description
---------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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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. -->
# bert-base-uncased-finetuned-wikitext2
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "bert-base-uncased-finetuned-wikitext2", "results": []}]} | serene89104/bert-base-uncased-finetuned-wikitext2 | null | [
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| bert-base-uncased-finetuned-wikitext2
=====================================
This model is a fine-tuned version of google-bert/bert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4380
* Accuracy: 0.7431
Model description
-----------------
More information nee... | [
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question-answering | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Vamsi-Chowdary/my_qa_model
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilber... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "Vamsi-Chowdary/my_qa_model", "results": []}]} | Vamsi-Chowdary/my_qa_model | null | [
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| Vamsi-Chowdary/my\_qa\_model
============================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 1.8410
* Validation Loss: 2.2226
* Epoch: 2
Model description
-----------------
More in... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/ibivibiv/webby_whale_33b_v1
**No more quants are incoming, as llama.cpp crashes when generating them.**
<!-- provided-files -->
sta... | {"language": ["en"], "license": "mit", "library_name": "transformers", "base_model": "ibivibiv/webby_whale_33b_v1", "no_imatrix": "GGML_ASSERT: llama.cpp/ggml-quants.c:11239: grid_index >= 0", "quantized_by": "mradermacher"} | mradermacher/webby_whale_33b_v1-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
No more quants are incoming, as URL crashes when generating them.
static quants are available at URL
Usage
-----
If you are unsure how to use GGUF files, refer to one of TheBloke's
READMEs for
more details, including on how to concatenate multi-part files.
Provided... | [] | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | pdx97/ppo-SnowballTarget | null | [
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"SnowballTarget",
"deep-reinforcement-learning",
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#ml-agents #tensorboard #onnx #SnowballTarget #deep-reinforcement-learning #reinforcement-learning #ML-Agents-SnowballTarget #region-us
|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A *short tuto... | [
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image-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# swin-tiny-patch4-window7-224-test-Pouya
This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://h... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swin-tiny-patch4-window7-224", "model-index": [{"name": "swin-tiny-patch4-window7-224-test-Pouya", "results": [{"task": {"type": "image-classification", "name": "Image Classificat... | MahmoudWSegni/swin-tiny-patch4-window7-224-test-Pouya | null | [
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| swin-tiny-patch4-window7-224-test-Pouya
=======================================
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4495
* Accuracy: 0.8513
Model description
-----------------
... | [
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null | null | # SFR-Embedding-Mistral-GGUF
Original model: [Salesforce/SFR-Embedding-Mistral](https://huggingface.co/Salesforce/SFR-Embedding-Mistral)
Use llama.cpp's conversion and quantization scripts. | {} | gaianet/SFR-Embedding-Mistral-GGUF | null | [
"gguf",
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#gguf #region-us
| # SFR-Embedding-Mistral-GGUF
Original model: Salesforce/SFR-Embedding-Mistral
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "huggyllama/llama-7b"} | shrenikb/aggLLAMA | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
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- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
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text-generation | transformers |
# Gemma-Mling: Multilingual Gemma
> Update @ 2024.04.15: First release of Gemma-Mling 7B model
**Original Gemma Model Page**: [Gemma](https://ai.google.dev/gemma/docs)
This model card corresponds to the 7B base version of the **Gemma-Mling** model,
continual pretrained on mainly Korean/English/Chinese/Japanese + 50... | {"language": ["ko", "en", "zh", "ja"], "license": "other", "library_name": "transformers", "tags": ["pytorch"], "license_name": "gemma-terms-of-use", "license_link": "https://ai.google.dev/gemma/terms", "pipeline_tag": "text-generation"} | beomi/gemma-mling-7b | null | [
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| Gemma-Mling: Multilingual Gemma
===============================
>
> Update @ 2024.04.15: First release of Gemma-Mling 7B model
>
>
>
Original Gemma Model Page: Gemma
This model card corresponds to the 7B base version of the Gemma-Mling model,
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text-generation | transformers |
# Uploaded model
- **Developed by:** liminerity
- **License:** apache-2.0
- **Finetuned from model :** liminerity/Bitnet-M7-70m
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "liminerity/Bitnet-M7-70m"} | liminerity/bitmap-M7-alpaca-70m | null | [
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|
# Uploaded model
- Developed by: liminerity
- License: apache-2.0
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<img src="URL width="200"/>
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
Base model is llama-2-7b-chat model
Pruned with shortgpt by 40%(12) layers
code: https://github.com/sramshetty/ShortGPT
Importa... | {"library_name": "transformers", "tags": []} | Fighoture/Llama-2-7b-chat-shortgpt-40-percent | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
Base model is llama-2-7b-chat model
Pruned with shortgpt by 40%(12) layers
code: URL
Importance is determined by block inference. Dataset is 1000 randomly sampled by "train" split of "timdettmers/openassistant-guanaco".
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text-generation | transformers |
# CodeQwen1.5-7B
## Introduction
CodeQwen1.5 is the Code-Specific version of Qwen1.5. It is a transformer-based decoder-only language model pretrained on a large amount of data of codes.
* Strong code generation capabilities and competitve performance across a series of benchmarks;
* Supporting long context under... | {"language": ["en"], "license": "other", "tags": ["pretrained"], "license_name": "tongyi-qianwen-research", "license_link": "https://huggingface.co/Qwen/CodeQwen1.5-7B/blob/main/LICENSE", "pipeline_tag": "text-generation"} | Qwen/CodeQwen1.5-7B | null | [
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# CodeQwen1.5-7B
## Introduction
CodeQwen1.5 is the Code-Specific version of Qwen1.5. It is a transformer-based decoder-only language model pretrained on a large amount of data of codes.
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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 - SarthakDargan/satomeko_LoRA_v2
<Gallery />
## Model description
These are SarthakDargan/satome... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers"], "base_model": "stabilityai/stable-diffusion-xl-base-1.0", "instance_prompt": "a photo of MEKO", "widge... | SarthakDargan/satomeko_LoRA_v2 | null | [
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|
# SDXL LoRA DreamBooth - SarthakDargan/satomeko_LoRA_v2
<Gallery />
## Model description
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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?"}]}]} | shaswatamitra/westlake-finetuned2 | null | [
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# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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null | null |
# DavidAU/Franziska-Mixtral-v1-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/Franziska-Mixtral-v1`](https://huggingface.co/Sao10K/Franziska-Mixtral-v1) 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... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Franziska-Mixtral-v1-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-15T05:39:51+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-cc-by-nc-4.0 #region-us
|
# DavidAU/Franziska-Mixtral-v1-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/Franziska-Mixtral-v1' 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:... | [
"# DavidAU/Franziska-Mixtral-v1-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/Franziska-Mixtral-v1' 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-classification | transformers | # merge_out
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:
* [ml... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["mllm-dev/merge_diff_data_YELP", "mllm-dev/merge_diff_data_DROID"]} | mllm-dev/merge_yelp_droid_linear | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-15T05:40:05+00:00 | [
"2203.05482"
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| # merge_out
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:
* mllm-dev/merge_diff_data_YELP
* mllm-dev/merge_diff_data_DROID
### Configur... | [
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unconditional-image-generation | diffusers |
# Model Card for Unit 1 of the [Diffusion Models Class 🧨](https://github.com/huggingface/diffusion-models-class)
This model is a diffusion model for unconditional image generation of cute 🦋.
## Usage
```python
from diffusers import DDPMPipeline
pipeline = DDPMPipeline.from_pretrained('Yellow514/sd-class-butterfl... | {"license": "mit", "tags": ["pytorch", "diffusers", "unconditional-image-generation", "diffusion-models-class"]} | Yellow514/sd-class-butterflies-64 | null | [
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"unconditional-image-generation",
"diffusion-models-class",
"license:mit",
"diffusers:DDPMPipeline",
"region:us"
] | null | 2024-04-15T05:40:18+00:00 | [] | [] | TAGS
#diffusers #safetensors #pytorch #unconditional-image-generation #diffusion-models-class #license-mit #diffusers-DDPMPipeline #region-us
|
# Model Card for Unit 1 of the Diffusion Models Class
This model is a diffusion model for unconditional image generation of cute .
## Usage
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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 En 3
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on ... | {"language": ["hi"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small En 3", "results": []}]} | glenn2/whisper-small-b3 | null | [
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"safetensors",
"whisper",
"automatic-speech-recognition",
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"hi",
"dataset:mozilla-foundation/common_voice_11_0",
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"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T05:42:42+00:00 | [] | [
"hi"
] | TAGS
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|
# Whisper Small En 3
This model is a fine-tuned version of openai/whisper-small on the Common Voice 3.0 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.7635
- eval_wer: 126.2971
- eval_runtime: 2284.865
- eval_samples_per_second: 1.14
- eval_steps_per_second: 0.143
- epoch: 6.68
- s... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_eli5_clm-model
This model is a fine-tuned version of [distilbert/distilgpt2](https://huggingface.co/distilbert/distil... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "distilbert/distilgpt2", "model-index": [{"name": "my_awesome_eli5_clm-model", "results": []}]} | ashwinmuthuraman/my_awesome_eli5_clm-model | null | [
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"text-generation-inference",
"region:us"
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| my\_awesome\_eli5\_clm-model
============================
This model is a fine-tuned version of distilbert/distilgpt2 on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 3.8925
Model description
-----------------
More information needed
Intended uses & limitations
-... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
"### Traini... | [
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visual-question-answering | transformers |
# Model Card for Model ID
This is a multimodal implementation of [Phi2](https://huggingface.co/microsoft/phi-2) model inspired by [LlaVA-Phi](https://github.com/zhuyiche/llava-phi).
## Model Details
1. LLM Backbone: [Phi2](https://huggingface.co/microsoft/phi-2)
2. Vision Tower: [clip-vit-large-patch14-336](https://... | {"language": ["en"], "license": "mit", "datasets": ["liuhaotian/LLaVA-Instruct-150K", "liuhaotian/LLaVA-Pretrain"], "pipeline_tag": "visual-question-answering"} | sid819/Llava-Phi2 | null | [
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"dataset:liuhaotian/LLaVA-Pretrain",
"arxiv:2401.02330",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T05:44:59+00:00 | [
"2401.02330"
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"en"
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|
# Model Card for Model ID
This is a multimodal implementation of Phi2 model inspired by LlaVA-Phi.
## Model Details
1. LLM Backbone: Phi2
2. Vision Tower: clip-vit-large-patch14-336
4. Pretraining Dataset: LAION-CC-SBU dataset with BLIP captions(200k samples)
5. Finetuning Dataset: Instruct 150k dataset based on COC... | [
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feature-extraction | transformers |
<br><br>
<p align="center">
<img src="https://aeiljuispo.cloudimg.io/v7/https://cdn-uploads.huggingface.co/production/uploads/603763514de52ff951d89793/AFoybzd5lpBQXEBrQHuTt.png?w=200&h=200&f=face" alt="Finetuner logo: Finetuner helps you to create experiments in order to improve embeddings on search tasks. It accompa... | {"language": ["en"], "license": "apache-2.0", "library_name": "transformers", "tags": ["reranker", "cross-encoder", "transformers.js"]} | jinaai/jina-reranker-v1-turbo-en | null | [
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"en",
"arxiv:2310.19923",
"arxiv:2108.12409",
"license:apache-2.0",
"region:eu"
] | null | 2024-04-15T05:45:01+00:00 | [
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"en"
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|
**Trained by [- You can also use the 'transformers' library to interact with the model programmatically.
- You can also use the 'URL' library to run the model directly in JavaScript (in-browser, URL, Deno, etc.)!
If you haven't already, you can install the URL JavaScript library from ... | [] | [
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] |
null | null |
# DavidAU/Frostwind-10.7B-v1-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/Frostwind-10.7B-v1`](https://huggingface.co/Sao10K/Frostwind-10.7B-v1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://hug... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Frostwind-10.7B-v1-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-15T05:45:05+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-cc-by-nc-4.0 #region-us
|
# DavidAU/Frostwind-10.7B-v1-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/Frostwind-10.7B-v1' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
... | [
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null | transformers |
# Uploaded model
- **Developed by:** liminerity
- **License:** apache-2.0
- **Finetuned from model :** liminerity/Bitnet-M7-70m
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "gguf"], "base_model": "liminerity/Bitnet-M7-70m"} | liminerity/bitmap-M7-alpaca-70m-gguf | null | [
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|
# Uploaded model
- Developed by: liminerity
- License: apache-2.0
- Finetuned from model : liminerity/Bitnet-M7-70m
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# t5-small-equadorKP
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It a... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "t5-small-equadorKP", "results": []}]} | rizvi-rahil786/t5-small-equadorKP | null | [
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-15T05:46:38+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #t5 #text2text-generation #generated_from_trainer #base_model-t5-small #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| t5-small-equadorKP
==================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0211
* Rouge1: 51.8765
* Rouge2: 37.0451
* Rougel: 51.7365
* Rougelsum: 51.7259
* Gen Len: 6.5792
Model description
-----------------
Mor... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 8",
"### Training... | [
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text-generation | transformers |
# bitnet-mistal-m7-70m-slerp
bitnet-mistal-m7-70m-slerp is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [liminerity/bitmap-M7-alpaca-70m](https://huggingface.co/liminerity/bitmap-M7-alpaca-70m)
* [liminerity/bitnet-mistral-alpaca-70m](https://huggingface.co/liminerity/bitnet-... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "liminerity/bitmap-M7-alpaca-70m", "liminerity/bitnet-mistral-alpaca-70m"]} | liminerity/bitnet-mistal-m7-70m-slerp | null | [
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"mistral",
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"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
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#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #liminerity/bitmap-M7-alpaca-70m #liminerity/bitnet-mistral-alpaca-70m #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# bitnet-mistal-m7-70m-slerp
bitnet-mistal-m7-70m-slerp is a merge of the following models using mergekit:
* liminerity/bitmap-M7-alpaca-70m
* liminerity/bitnet-mistral-alpaca-70m
## Configuration
| [
"# bitnet-mistal-m7-70m-slerp\n\nbitnet-mistal-m7-70m-slerp is a merge of the following models using mergekit:\n* liminerity/bitmap-M7-alpaca-70m\n* liminerity/bitnet-mistral-alpaca-70m",
"## Configuration"
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null | null |
# DavidAU/Hesperus-v1-13B-L2-fp16-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/Hesperus-v1-13B-L2-fp16`](https://huggingface.co/Sao10K/Hesperus-v1-13B-L2-fp16) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model ca... | {"language": ["en"], "license": "llama2", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Hesperus-v1-13B-L2-fp16-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"license:llama2",
"region:us"
] | null | 2024-04-15T05:49:37+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-llama2 #region-us
|
# DavidAU/Hesperus-v1-13B-L2-fp16-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/Hesperus-v1-13B-L2-fp16' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
S... | [
"# DavidAU/Hesperus-v1-13B-L2-fp16-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/Hesperus-v1-13B-L2-fp16' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the... | [
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"##... | [
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fill-mask | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Lancelot53/rna-tokenizer-v2-4096 | null | [
"transformers",
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"region:us"
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#transformers #bert #fill-mask #custom_code #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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- License... | [
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null | null |
# DavidAU/JanniesBasedLigma-L2-13B-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/JanniesBasedLigma-L2-13B`](https://huggingface.co/Sao10K/JanniesBasedLigma-L2-13B) 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... | {"language": ["en"], "license": "llama2", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/JanniesBasedLigma-L2-13B-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"license:llama2",
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"en"
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#gguf #llama-cpp #gguf-my-repo #en #license-llama2 #region-us
|
# DavidAU/JanniesBasedLigma-L2-13B-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/JanniesBasedLigma-L2-13B' 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:
... | [
"# DavidAU/JanniesBasedLigma-L2-13B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/JanniesBasedLigma-L2-13B' 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 t... | [
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"# DavidAU/JanniesBasedLigma-L2-13B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/JanniesBasedLigma-L2-13B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"... | [
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null | peft |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"library_name": "peft", "base_model": "shrenikb/sparseLAMA"} | shrenikb/aggsparseLAMA2 | null | [
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"1910.09700"
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#peft #safetensors #arxiv-1910.09700 #base_model-shrenikb/sparseLAMA #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License:
- Finetuned from model [optional]:
### Model Sources [optional]
- Repository:
- Paper [optional]:
- Demo [optional]:
#... | [
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"### Model Sources [optional]\n\n\n\n- Repository: \n- Paper [option... | [
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null | null | # GritLM-7B-GGUF
Original model: [GritLM/GritLM-8x7B](https://huggingface.co/GritLM/GritLM-8x7B)
Use llama.cpp's conversion and quantization scripts. | {} | gaianet/GritLM-7B-GGUF | null | [
"gguf",
"region:us"
] | null | 2024-04-15T05:54:01+00:00 | [] | [] | TAGS
#gguf #region-us
| # GritLM-7B-GGUF
Original model: GritLM/GritLM-8x7B
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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. -->
# ruBert-base-sberquad-0.01-filtered
This model is a fine-tuned version of [ai-forever/ruBert-base](https://huggingface.co/ai-fore... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "ai-forever/ruBert-base", "model-index": [{"name": "ruBert-base-sberquad-0.01-filtered", "results": []}]} | Shalazary/ruBert-base-sberquad-0.01-filtered | null | [
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|
# ruBert-base-sberquad-0.01-filtered
This model is a fine-tuned version of ai-forever/ruBert-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Train... | [
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text-to-image | diffusers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | Niggendar/chikmix_30_pruned | null | [
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## Model Details
### Model Description
This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | elm | # SliceX AI™ ELM (Efficient Language Models)
**ELM** (which stands for **E**fficient **L**anguage **M**odels) is the first version in the series of cutting-edge language models from [SliceX AI](https://slicex.ai) that is designed to achieve the best in class performance in terms of _quality_, _throughput_ & _memory_.
... | {"language": ["en"], "license": "apache-2.0", "library_name": "elm", "tags": ["elm"], "datasets": ["ag_news"], "pipeline_tag": "text-generation"} | slicexai/elm-v0.1_news_classification | null | [
"elm",
"text-generation",
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"dataset:ag_news",
"license:apache-2.0",
"has_space",
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"en"
] | TAGS
#elm #text-generation #en #dataset-ag_news #license-apache-2.0 #has_space #region-us
| # SliceX AI™ ELM (Efficient Language Models)
ELM (which stands for Efficient Language Models) is the first version in the series of cutting-edge language models from SliceX AI that is designed to achieve the best in class performance in terms of _quality_, _throughput_ & _memory_.
<div align="center">
<img src="URL"... | [
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text-generation | elm | # SliceX AI™ ELM (Efficient Language Models)
**ELM** (which stands for **E**fficient **L**anguage **M**odels) is the first version in the series of cutting-edge language models from [SliceX AI](https://slicex.ai) that is designed to achieve the best in class performance in terms of _quality_, _throughput_ & _memory_.
... | {"language": ["en"], "license": "apache-2.0", "library_name": "elm", "tags": ["elm"], "datasets": ["JulesBelveze/tldr_news"], "pipeline_tag": "text-generation"} | slicexai/elm-v0.1_news_content_generation | null | [
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] | TAGS
#elm #text-generation #en #dataset-JulesBelveze/tldr_news #license-apache-2.0 #has_space #region-us
| # SliceX AI™ ELM (Efficient Language Models)
ELM (which stands for Efficient Language Models) is the first version in the series of cutting-edge language models from SliceX AI that is designed to achieve the best in class performance in terms of _quality_, _throughput_ & _memory_.
<div align="center">
<img src="URL"... | [
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summarization | elm | # SliceX AI™ ELM (Efficient Language Models)
**ELM** (which stands for **E**fficient **L**anguage **M**odels) is the first version in the series of cutting-edge language models from [SliceX AI](https://slicex.ai) that is designed to achieve the best in class performance in terms of _quality_, _throughput_ & _memory_.
... | {"language": ["en"], "license": "apache-2.0", "library_name": "elm", "tags": ["elm"], "datasets": ["cnn_dailymail"], "pipeline_tag": "summarization"} | slicexai/elm-v0.1_news_summarization | null | [
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] | TAGS
#elm #summarization #en #dataset-cnn_dailymail #license-apache-2.0 #has_space #region-us
| # SliceX AI™ ELM (Efficient Language Models)
ELM (which stands for Efficient Language Models) is the first version in the series of cutting-edge language models from SliceX AI that is designed to achieve the best in class performance in terms of _quality_, _throughput_ & _memory_.
<div align="center">
<img src="URL"... | [
"# SliceX AI™ ELM (Efficient Language Models)\nELM (which stands for Efficient Language Models) is the first version in the series of cutting-edge language models from SliceX AI that is designed to achieve the best in class performance in terms of _quality_, _throughput_ & _memory_.\n\n<div align=\"center\">\n <im... | [
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text-generation | elm | # SliceX AI™ ELM (Efficient Language Models)
**ELM** (which stands for **E**fficient **L**anguage **M**odels) is the first version in the series of cutting-edge language models from [SliceX AI](https://slicex.ai) that is designed to achieve the best in class performance in terms of _quality_, _throughput_ & _memory_.
... | {"language": ["en"], "license": "apache-2.0", "library_name": "elm", "tags": ["elm"], "datasets": ["google/jigsaw_toxicity_pred"], "pipeline_tag": "text-generation"} | slicexai/elm-v0.1_toxicity_detection | null | [
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] | TAGS
#elm #text-generation #en #dataset-google/jigsaw_toxicity_pred #license-apache-2.0 #has_space #region-us
| # SliceX AI™ ELM (Efficient Language Models)
ELM (which stands for Efficient Language Models) is the first version in the series of cutting-edge language models from SliceX AI that is designed to achieve the best in class performance in terms of _quality_, _throughput_ & _memory_.
<div align="center">
<img src="URL"... | [
"# SliceX AI™ ELM (Efficient Language Models)\nELM (which stands for Efficient Language Models) is the first version in the series of cutting-edge language models from SliceX AI that is designed to achieve the best in class performance in terms of _quality_, _throughput_ & _memory_.\n\n<div align=\"center\">\n <im... | [
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null | null |
# DavidAU/Kazemi-1.2-Solar-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/Kazemi-1.2-Solar`](https://huggingface.co/Sao10K/Kazemi-1.2-Solar) 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://huggingfa... | {"language": ["en"], "license": "cc-by-nc-4.0", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Kazemi-1.2-Solar-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"license:cc-by-nc-4.0",
"region:us"
] | null | 2024-04-15T05:58:56+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-cc-by-nc-4.0 #region-us
|
# DavidAU/Kazemi-1.2-Solar-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/Kazemi-1.2-Solar' 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... | [
"# DavidAU/Kazemi-1.2-Solar-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/Kazemi-1.2-Solar' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\... | [
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"## Use wit... | [
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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": []} | yongsun-shim/eeve-4bit-test-2 | null | [
"transformers",
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"llama",
"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"4-bit",
"region:us"
] | null | 2024-04-15T06:02:25+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #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",
"### Model Description\n\n\n\nThis is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.\n\n- Developed by: \n- Funded by [optional]: \n- Shared by [optional]: \n- Model type: \n- Language(s)... | [
"TAGS\n#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #4-bit #region-us \n",
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text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mitre-bert-base-cased
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the Non... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-cased", "model-index": [{"name": "mitre-bert-base-cased", "results": []}]} | bencyc1129/mitre-bert-base-cased | null | [
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"bert",
"text-classification",
"generated_from_trainer",
"base_model:bert-base-cased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T06:03:50+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bert #text-classification #generated_from_trainer #base_model-bert-base-cased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| mitre-bert-base-cased
=====================
This model is a fine-tuned version of bert-base-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0145
* Accuracy: 0.6994
Model description
-----------------
More information needed
Intended uses & limitations
------------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
"### Train... | [
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null | null |
# DavidAU/Medusa-1.1-L2-7B-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/Medusa-1.1-L2-7B`](https://huggingface.co/Sao10K/Medusa-1.1-L2-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingfa... | {"language": ["en"], "license": "llama2", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Medusa-1.1-L2-7B-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"license:llama2",
"region:us"
] | null | 2024-04-15T06:07:32+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-llama2 #region-us
|
# DavidAU/Medusa-1.1-L2-7B-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/Medusa-1.1-L2-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note... | [
"# DavidAU/Medusa-1.1-L2-7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/Medusa-1.1-L2-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\... | [
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text-generation | transformers |
# NeuralsynthesisMeliodas-7B
NeuralsynthesisMeliodas-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
* [AurelPx/Meliodas-7b-dare](https://huggingface.co/AurelPx/Meliodas-7b-dare)
## 🧩 Configuration
```yaml
models:
- model: Kukedlc/NeuralSynth... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"], "base_model": ["AurelPx/Meliodas-7b-dare"]} | automerger/NeuralsynthesisMeliodas-7B | null | [
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"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"automerger",
"base_model:AurelPx/Meliodas-7b-dare",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-15T06:07:42+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #automerger #base_model-AurelPx/Meliodas-7b-dare #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# NeuralsynthesisMeliodas-7B
NeuralsynthesisMeliodas-7B is an automated merge created by Maxime Labonne using the following configuration.
* AurelPx/Meliodas-7b-dare
## Configuration
## Usage
| [
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"## Usage"
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null | peft | ## Training procedure
The following `bitsandbytes` quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | {"library_name": "peft"} | waddledee/three-line-summarization-ja | null | [
"peft",
"region:us"
] | null | 2024-04-15T06:08:42+00:00 | [] | [] | TAGS
#peft #region-us
| ## Training procedure
The following 'bitsandbytes' quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_doub... | [
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null | null |
# DavidAU/Medusa-1.2-L2-7B-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/Medusa-1.2-L2-7B`](https://huggingface.co/Sao10K/Medusa-1.2-L2-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingfa... | {"language": ["en"], "license": "llama2", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Medusa-1.2-L2-7B-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"license:llama2",
"region:us"
] | null | 2024-04-15T06:08:57+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-llama2 #region-us
|
# DavidAU/Medusa-1.2-L2-7B-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/Medusa-1.2-L2-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note... | [
"# DavidAU/Medusa-1.2-L2-7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/Medusa-1.2-L2-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\... | [
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null | null |
# DavidAU/Medusa-1.3-L2-7B-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/Medusa-1.3-L2-7B`](https://huggingface.co/Sao10K/Medusa-1.3-L2-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](https://huggingfa... | {"language": ["en"], "license": "llama2", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Medusa-1.3-L2-7B-Q6_K-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"license:llama2",
"region:us"
] | null | 2024-04-15T06:10:02+00:00 | [] | [
"en"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #license-llama2 #region-us
|
# DavidAU/Medusa-1.3-L2-7B-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/Medusa-1.3-L2-7B' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the CLI.
CLI:
Server:
Note... | [
"# DavidAU/Medusa-1.3-L2-7B-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/Medusa-1.3-L2-7B' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the URL server or the CLI.\n\nCLI:\... | [
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"## Use with URL\... | [
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image-classification | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | nsereko/tomato-classification | null | [
"transformers",
"safetensors",
"vit",
"image-classification",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-15T06:12:11+00:00 | [
"1910.09700"
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#transformers #safetensors #vit #image-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# A bagel, with everything
## Overview
This is a fine-tune of mistral-7b-v0.2 using the bagel v0.5 dataset, including a DPO pass.
See [bagel](https://github.com/jondurbin/bagel) for additional details on the datasets.
The non-DPO version is available [here](https://huggingface.co/jondurbin/bag... | {"license": "apache-2.0", "datasets": ["ai2_arc", "allenai/ultrafeedback_binarized_cleaned", "argilla/distilabel-intel-orca-dpo-pairs", "jondurbin/airoboros-3.2", "codeparrot/apps", "facebook/belebele", "bluemoon-fandom-1-1-rp-cleaned", "boolq", "camel-ai/biology", "camel-ai/chemistry", "camel-ai/math", "camel-ai/physi... | jondurbin/bagel-dpo-7b-v0.5 | null | [
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# A bagel, with everything
!bagel
## Overview
This is a fine-tune of mistral-7b-v0.2 using the bagel v0.5 dataset, including a DPO pass.
See bagel for additional details on the datasets.
The non-DPO version is available here
!mt-bench
### Data sources
There are many data sources used in the bagel models. See ... | [
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null | null | ¿Qué es RXB Super Fat Reducer cápsula?
RXB Super Fat Reducer es una revolucionaria solución de control de peso diseñada para ayudar a las personas a lograr el físico deseado sin esfuerzo. Combina tecnología avanzada con ingredientes naturales para apoyar una pérdida de peso saludable y promover el bienestar general.
... | {"license": "apache-2.0"} | RXBSuperFatReducer/RXBSuperFatReducer | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-15T06:15:59+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| ¿Qué es RXB Super Fat Reducer cápsula?
RXB Super Fat Reducer es una revolucionaria solución de control de peso diseñada para ayudar a las personas a lograr el físico deseado sin esfuerzo. Combina tecnología avanzada con ingredientes naturales para apoyar una pérdida de peso saludable y promover el bienestar general.
... | [] | [
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reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **SpaceInvadersNoFrameskip-v4**
This is a trained model of a **DQN** agent playing **SpaceInvadersNoFrameskip-v4**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3)
and the [RL Zoo](https://github.com/DLR-RM/rl-baselines3-zoo).
The RL Zoo is a training framewor... | {"library_name": "stable-baselines3", "tags": ["SpaceInvadersNoFrameskip-v4", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "SpaceInvadersNoFram... | spietari/dqn-SpaceInvadersNoFrameskip-v4 | null | [
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#stable-baselines3 #SpaceInvadersNoFrameskip-v4 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4
using the stable-baselines3 library
and the RL Zoo.
The RL Zoo is a training framework for Stable Baselines3
reinforcement learning agents,
with hyperparameter optimization and pre-trained agents... | [
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null | null | Resources for discussions and self-training in open-source AI tools, models, and systems engineering.
Check "Files and versions" for the latest deck:
Agenda:
Practical open-source AI resources - datasets, tools, models
How to start on your PC today
Open AI platform architectures - from on-device to hybrid local/remote... | {"license": "mit"} | mitkox/OwnYourAI | null | [
"license:mit",
"region:us"
] | null | 2024-04-15T06:17:53+00:00 | [] | [] | TAGS
#license-mit #region-us
| Resources for discussions and self-training in open-source AI tools, models, and systems engineering.
Check "Files and versions" for the latest deck:
Agenda:
Practical open-source AI resources - datasets, tools, models
How to start on your PC today
Open AI platform architectures - from on-device to hybrid local/remote... | [] | [
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fill-mask | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results
This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base) on an unkn... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/deberta-base", "model-index": [{"name": "results", "results": []}]} | JJ-Tae/results | null | [
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|
# results
This model is a fine-tuned version of microsoft/deberta-base on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The fo... | [
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null | transformers | ## About
<!-- ### quantize_version: 1 -->
<!-- ### output_tensor_quantised: 1 -->
<!-- ### convert_type: -->
<!-- ### vocab_type: -->
weighted/imatrix quants of https://huggingface.co/Riiid/sheep-duck-llama-2-70b-v1.1
**No more quants are incoming, as llama.cpp crashes when generating them.**
<!-- provided-files -... | {"language": ["en"], "license": "llama2", "library_name": "transformers", "tags": ["Riiid", "llama-2", "sheep-duck-llama-2"], "base_model": "Riiid/sheep-duck-llama-2-70b-v1.1", "no_imatrix": "GGML_ASSERT: llama.cpp/ggml-quants.c:11239: grid_index >= 0", "quantized_by": "mradermacher"} | mradermacher/sheep-duck-llama-2-70b-v1.1-i1-GGUF | null | [
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| About
-----
weighted/imatrix quants of URL
No more quants are incoming, as URL crashes when generating them.
static quants are available at URL
Usage
-----
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null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# V0414H2
This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
I... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/phi-2", "model-index": [{"name": "V0414H2", "results": []}]} | Litzy619/V0414H2 | null | [
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"base_model:microsoft/phi-2",
"license:mit",
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] | null | 2024-04-15T06:24:24+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-microsoft/phi-2 #license-mit #region-us
| V0414H2
=======
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0460
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
T... | [
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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": []} | aidiary/gemma-Code-Instruct-Finetune-test | null | [
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"text-generation",
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#transformers #safetensors #gemma #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #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.
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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": []} | cilantro9246/sc4ekqp | null | [
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## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | null |
# DavidAU/Medusa-13b-Q6_K-GGUF
This model was converted to GGUF format from [`Sao10K/Medusa-13b`](https://huggingface.co/Sao10K/Medusa-13b) 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/Sao10K/Medus... | {"language": ["en"], "license": "llama2", "tags": ["llama-cpp", "gguf-my-repo"]} | DavidAU/Medusa-13b-Q6_K-GGUF | null | [
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#gguf #llama-cpp #gguf-my-repo #en #license-llama2 #region-us
|
# DavidAU/Medusa-13b-Q6_K-GGUF
This model was converted to GGUF format from 'Sao10K/Medusa-13b' 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 can al... | [
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52
] | [
"TAGS\n#gguf #llama-cpp #gguf-my-repo #en #license-llama2 #region-us \n# DavidAU/Medusa-13b-Q6_K-GGUF\nThis model was converted to GGUF format from 'Sao10K/Medusa-13b' 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 b... |
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