modelId stringlengths 4 111 | lastModified stringlengths 24 24 | tags list | pipeline_tag stringlengths 5 30 ⌀ | author stringlengths 2 34 ⌀ | config null | securityStatus null | id stringlengths 4 111 | likes int64 0 9.53k | downloads int64 2 73.6M | library_name stringlengths 2 84 ⌀ | created timestamp[us] | card stringlengths 101 901k | card_len int64 101 901k | embeddings list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
TheBloke/gpt4-alpaca-lora_mlp-65B-HF | 2023-06-05T00:10:08.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"text2text-generation",
"dataset:c-s-ale/alpaca-gpt4-data",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | TheBloke | null | null | TheBloke/gpt4-alpaca-lora_mlp-65B-HF | 7 | 5,979 | transformers | 2023-05-12T22:28:37 | ---
license: other
datasets:
- c-s-ale/alpaca-gpt4-data
pipeline_tag: text2text-generation
---
<!-- header start -->
<div style="width: 100%;">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-... | 8,350 | [
[
-0.05792236328125,
-0.05718994140625,
0.0178985595703125,
0.02276611328125,
-0.0133209228515625,
-0.01241302490234375,
0.0082550048828125,
-0.060638427734375,
0.049102783203125,
0.0260772705078125,
-0.0472412109375,
-0.0239105224609375,
-0.040679931640625,
0... |
BEE-spoke-data/TinyLlama-1.1bee | 2023-09-24T16:13:56.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"bees",
"beekeeping",
"honey",
"en",
"dataset:BEE-spoke-data/bees-internal",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | BEE-spoke-data | null | null | BEE-spoke-data/TinyLlama-1.1bee | 1 | 5,979 | transformers | 2023-09-19T22:30:43 | ---
license: apache-2.0
base_model: PY007/TinyLlama-1.1B-intermediate-step-240k-503b
tags:
- bees
- beekeeping
- honey
metrics:
- accuracy
inference:
parameters:
max_new_tokens: 64
do_sample: true
repetition_penalty: 1.1
no_repeat_ngram_size: 5
eta_cutoff: 0.0008
widget:
- text: In beekeeping, the... | 4,695 | [
[
-0.029876708984375,
-0.074951171875,
0.0380859375,
0.002471923828125,
-0.017333984375,
-0.015777587890625,
-0.027435302734375,
-0.05755615234375,
0.0205078125,
0.0217132568359375,
-0.0711669921875,
-0.022430419921875,
-0.0306854248046875,
0.00734329223632812... |
Aeala/VicUnlocked-alpaca-30b | 2023-05-17T17:00:32.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Aeala | null | null | Aeala/VicUnlocked-alpaca-30b | 7 | 5,978 | transformers | 2023-05-17T02:18:42 | ## Model Info
Merge of my [VicUnlocked-alpaca-half-30b LoRA](https://huggingface.co/Aeala/VicUnlocked-alpaca-half-30b-LoRA)
**Important Note**: While this is trained on a cleaned ShareGPT dataset like Vicuna used, this was trained in the *Alpaca* format, so prompting should be something like:
```
### Instruction:
<p... | 598 | [
[
-0.048187255859375,
-0.05902099609375,
0.0255584716796875,
0.0216827392578125,
-0.03753662109375,
-0.027374267578125,
0.006683349609375,
-0.029998779296875,
0.0168914794921875,
0.0214996337890625,
-0.0552978515625,
-0.04876708984375,
-0.06060791015625,
-0.01... |
ehartford/WizardLM-33B-V1.0-Uncensored | 2023-06-24T11:17:20.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:ehartford/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | ehartford | null | null | ehartford/WizardLM-33B-V1.0-Uncensored | 46 | 5,978 | transformers | 2023-06-24T11:08:38 | ---
license: other
datasets:
- ehartford/WizardLM_evol_instruct_V2_196k_unfiltered_merged_split
language:
- en
---
This is a retraining of https://huggingface.co/WizardLM/WizardLM-30B-V1.0 with a filtered dataset, intended to reduce refusals, avoidance, and bias.
Note that LLaMA itself has inherent ethical beliefs, s... | 1,218 | [
[
-0.01007843017578125,
-0.03887939453125,
0.0205841064453125,
0.01334381103515625,
-0.041778564453125,
-0.01119232177734375,
0.0148468017578125,
-0.03717041015625,
0.004131317138671875,
0.0789794921875,
-0.04962158203125,
-0.042724609375,
-0.039642333984375,
... |
CHIH-HUNG/llama-2-13b-FINETUNE2_3w-gate_up_down_proj | 2023-09-06T04:55:54.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"dataset:huangyt/FINETUNE2",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | CHIH-HUNG | null | null | CHIH-HUNG/llama-2-13b-FINETUNE2_3w-gate_up_down_proj | 0 | 5,978 | transformers | 2023-09-01T20:45:20 | ---
license: llama2
datasets:
- huangyt/FINETUNE2
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
在llama-2-13b上使用huangyt/FINETUNE2資料集進行訓練,總資料筆數約3w
# Fine-Tuning Information
- **GPU:** RTX4090 (single core / 24564MiB)
- **model:** meta-llama/Llama-2-13b-hf
- **dataset:** huan... | 2,363 | [
[
-0.04339599609375,
-0.05145263671875,
0.01227569580078125,
0.01244354248046875,
-0.047821044921875,
0.003986358642578125,
-0.012786865234375,
-0.021697998046875,
0.01434326171875,
0.033233642578125,
-0.045989990234375,
-0.038177490234375,
-0.044189453125,
0.... |
kandinsky-community/kandinsky-2-2-controlnet-depth | 2023-10-09T11:32:45.000Z | [
"diffusers",
"text-to-image",
"kandinsky",
"license:apache-2.0",
"has_space",
"diffusers:KandinskyV22ControlnetPipeline",
"region:us"
] | text-to-image | kandinsky-community | null | null | kandinsky-community/kandinsky-2-2-controlnet-depth | 15 | 5,977 | diffusers | 2023-06-28T22:51:45 | ---
license: apache-2.0
prior:
- kandinsky-community/kandinsky-2-2-prior
tags:
- text-to-image
- kandinsky
inference: false
---
# Kandinsky 2.2
Kandinsky inherits best practices from Dall-E 2 and Latent diffusion while introducing some new ideas.
It uses the CLIP model as a text and image encoder, and diffusion im... | 9,894 | [
[
-0.0248260498046875,
-0.047393798828125,
0.03790283203125,
-0.0020351409912109375,
-0.0294036865234375,
-0.006107330322265625,
0.0015287399291992188,
-0.00882720947265625,
0.0081329345703125,
0.03643798828125,
-0.03131103515625,
-0.042449951171875,
-0.0505065917... |
TheBloke/VicUnlocked-alpaca-65B-QLoRA-fp16 | 2023-06-05T00:10:34.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"dataset:gozfarb/ShareGPT_Vicuna_unfiltered",
"license:other",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/VicUnlocked-alpaca-65B-QLoRA-fp16 | 9 | 5,976 | transformers | 2023-05-30T00:10:50 | ---
inference: false
license: other
datasets:
- gozfarb/ShareGPT_Vicuna_unfiltered
---
<!-- header start -->
<div style="width: 100%;">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content... | 3,412 | [
[
-0.0462646484375,
-0.060760498046875,
0.003330230712890625,
0.004825592041015625,
-0.0305328369140625,
-0.020477294921875,
0.0131683349609375,
-0.059906005859375,
0.05157470703125,
0.01398468017578125,
-0.058990478515625,
-0.0222015380859375,
-0.03741455078125,
... |
KoboldAI/fairseq-dense-2.7B | 2023-06-22T21:25:40.000Z | [
"transformers",
"pytorch",
"safetensors",
"xglm",
"text-generation",
"en",
"arxiv:2112.10684",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | KoboldAI | null | null | KoboldAI/fairseq-dense-2.7B | 2 | 5,975 | transformers | 2022-03-02T23:29:04 | ---
language: en
---
This is a Hugging Face transformers-compatible conversion of the original dense 2.7B-parameter model from the paper "[Efficient Large Scale Language Modeling with Mixtures of Experts](https://arxiv.org/abs/2112.10684)" from Artetxe et al. Please refer to the original model card, which can be found ... | 408 | [
[
-0.048370361328125,
-0.05938720703125,
0.01439666748046875,
0.034271240234375,
-0.022308349609375,
-0.04632568359375,
-0.0210723876953125,
-0.027618408203125,
0.03240966796875,
0.06341552734375,
-0.053466796875,
-0.0083465576171875,
-0.037750244140625,
-0.03... |
vennify/t5-base-grammar-correction | 2022-01-14T16:35:23.000Z | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"grammar",
"en",
"dataset:jfleg",
"arxiv:1702.04066",
"license:cc-by-nc-sa-4.0",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text2text-generation | vennify | null | null | vennify/t5-base-grammar-correction | 84 | 5,973 | transformers | 2022-03-02T23:29:05 | ---
language: en
tags:
- grammar
- text2text-generation
license: cc-by-nc-sa-4.0
datasets:
- jfleg
---
# T5 Grammar Correction
This model generates a revised version of inputted text with the goal of containing fewer grammatical errors.
It was trained with [Happy Transformer](https://github.com/EricFillion/happy-tr... | 939 | [
[
0.00917816162109375,
-0.056365966796875,
0.0191497802734375,
0.018768310546875,
-0.01059722900390625,
-0.0218048095703125,
-0.0196075439453125,
-0.004638671875,
-0.0066375732421875,
0.0292205810546875,
-0.06402587890625,
-0.04437255859375,
-0.043731689453125,
... |
Henk717/airochronos-33B | 2023-07-28T22:11:05.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Henk717 | null | null | Henk717/airochronos-33B | 6 | 5,973 | transformers | 2023-07-10T09:46:47 | ---
license: other
---
After the initial experiment with chronoboros-33B it was evident that the merge was to unpredictable to be useful, testing the individual models it became clear that the bias should be weighted towards Chronos.
This is the new release of the merge with 75% chronos 33B, and 25% airoboros-1.4 33B.
... | 569 | [
[
-0.0640869140625,
-0.040252685546875,
0.031707763671875,
0.0192108154296875,
-0.04388427734375,
-0.0184478759765625,
-0.006244659423828125,
-0.0654296875,
0.0196075439453125,
0.033233642578125,
-0.0693359375,
-0.003200531005859375,
-0.041839599609375,
-0.005... |
TheBloke/guanaco-7B-HF | 2023-06-05T00:10:27.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/guanaco-7B-HF | 8 | 5,972 | transformers | 2023-05-25T20:17:10 | ---
license: other
---
<!-- header start -->
<div style="width: 100%;">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; justify-content: space-between; width: 100%;">
<div style="display: flex; fl... | 2,638 | [
[
-0.038330078125,
-0.05029296875,
0.0128021240234375,
0.0052032470703125,
-0.0171051025390625,
-0.01175689697265625,
0.001384735107421875,
-0.049346923828125,
0.041229248046875,
0.0145263671875,
-0.05462646484375,
-0.01175689697265625,
-0.022491455078125,
-0.... |
jondurbin/airoboros-l2-70b-gpt4-2.0 | 2023-08-04T20:56:11.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"dataset:jondurbin/airoboros-gpt4-m2.0",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | jondurbin | null | null | jondurbin/airoboros-l2-70b-gpt4-2.0 | 12 | 5,972 | transformers | 2023-07-30T09:41:29 | ---
license: other
datasets:
- jondurbin/airoboros-gpt4-m2.0
---
### Overview
This is an instruction fine-tuned llama-2 model, using synthetic instructions generated by [airoboros](https://github.com/jondurbin/airoboros)
- The 2.0 series are generated exclusively from 0614 version of gpt-4, as mechanism to compare t... | 17,075 | [
[
-0.0296173095703125,
-0.06591796875,
0.039398193359375,
0.0201568603515625,
-0.01136016845703125,
-0.014739990234375,
-0.0098876953125,
-0.0238800048828125,
0.0162506103515625,
0.0262298583984375,
-0.054595947265625,
-0.042449951171875,
-0.032745361328125,
0... |
CHIH-HUNG/llama-2-13b-dolphin_20w | 2023-09-06T04:55:19.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"dataset:ehartford/dolphin",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | CHIH-HUNG | null | null | CHIH-HUNG/llama-2-13b-dolphin_20w | 0 | 5,971 | transformers | 2023-08-29T00:58:57 | ---
license: llama2
datasets:
- ehartford/dolphin
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
在llama-2-13b上使用dolphin前20萬筆資料集進行訓練
# Fine-Tuning Information
- **GPU:** RTX4090 (single core / 24564MiB)
- **model:** meta-llama/Llama-2-13b-hf
- **dataset:** ehartford/dolphin ... | 2,293 | [
[
-0.049468994140625,
-0.04388427734375,
0.009857177734375,
0.0146636962890625,
-0.056243896484375,
0.0026950836181640625,
-0.005504608154296875,
-0.0260009765625,
0.01763916015625,
0.035125732421875,
-0.044189453125,
-0.038970947265625,
-0.044921875,
0.019210... |
garage-bAInd/Platypus2-70B | 2023-08-15T01:45:24.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:garage-bAInd/Open-Platypus",
"arxiv:2308.07317",
"arxiv:2307.09288",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | garage-bAInd | null | null | garage-bAInd/Platypus2-70B | 20 | 5,970 | transformers | 2023-08-04T18:21:45 | ---
license: cc-by-nc-sa-4.0
language:
- en
datasets:
- garage-bAInd/Open-Platypus
---
# Platypus2-70B
Platypus-70B is an instruction fine-tuned model based on the LLaMa2-70B transformer architecture.

### Benchmark Metrics
| Metric | Value |
|---------------------... | 4,869 | [
[
-0.02349853515625,
-0.06329345703125,
0.022247314453125,
0.0275726318359375,
-0.0235443115234375,
-0.00567626953125,
-0.026641845703125,
-0.034881591796875,
-0.00035858154296875,
0.02374267578125,
-0.037872314453125,
-0.0288848876953125,
-0.049346923828125,
... |
CHIH-HUNG/llama-2-13b-FINETUNE1_17w-r4 | 2023-09-12T12:33:46.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"dataset:huangyt/FINETUNE1",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | CHIH-HUNG | null | null | CHIH-HUNG/llama-2-13b-FINETUNE1_17w-r4 | 0 | 5,970 | transformers | 2023-09-07T04:17:33 | ---
license: llama2
datasets:
- huangyt/FINETUNE1
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
在llama-2-13b上使用huangyt/FINETUNE1資料集進行訓練,總資料筆數約17w
# Fine-Tuning Information
- **GPU:** RTX4090 (single core / 24564MiB)
- **model:** meta-llama/Llama-2-13b-hf
- **dataset:** hua... | 2,580 | [
[
-0.045623779296875,
-0.048614501953125,
0.0135498046875,
0.01236724853515625,
-0.0479736328125,
0.004543304443359375,
-0.0112152099609375,
-0.01947021484375,
0.0186004638671875,
0.032623291015625,
-0.04510498046875,
-0.0408935546875,
-0.042877197265625,
0.01... |
pythainlp/wangchanglm-7.5B-sft-enth | 2023-05-29T15:24:36.000Z | [
"transformers",
"pytorch",
"xglm",
"text-generation",
"en",
"th",
"ja",
"vi",
"dataset:laion/OIG",
"dataset:Hello-SimpleAI/HC3",
"dataset:databricks/databricks-dolly-15k",
"license:cc-by-sa-4.0",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | pythainlp | null | null | pythainlp/wangchanglm-7.5B-sft-enth | 6 | 5,969 | transformers | 2023-04-25T04:37:10 | ---
license: cc-by-sa-4.0
datasets:
- laion/OIG
- Hello-SimpleAI/HC3
- databricks/databricks-dolly-15k
language:
- en
- th
- ja
- vi
pipeline_tag: text-generation
---
# Model Card for WangChanGLM 🐘 - The Multilingual Instruction-Following Model
<!-- Provide a longer summary of what this model is. -->
WangChanGLM is ... | 8,516 | [
[
-0.0186920166015625,
-0.057861328125,
0.0034656524658203125,
0.01690673828125,
-0.010894775390625,
-0.0257415771484375,
-0.0093841552734375,
-0.035858154296875,
-0.0011205673217773438,
0.0243072509765625,
-0.035858154296875,
-0.03363037109375,
-0.0277099609375,
... |
Azure99/blossom-v1-3b | 2023-08-01T12:18:45.000Z | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"zh",
"en",
"dataset:Azure99/blossom-chat-v1",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Azure99 | null | null | Azure99/blossom-v1-3b | 0 | 5,969 | transformers | 2023-07-29T12:06:45 | ---
license: apache-2.0
datasets:
- Azure99/blossom-chat-v1
language:
- zh
- en
---
# **BLOSSOM-v1-3b**
### 介绍
Blossom是一个对话式语言模型,基于Bloom-3b预训练模型,在60K Blossom chat数据集上进行指令精调得来。
### 推理
推理采用对话续写的形式。
单轮对话
```
A chat between a human and an artificial intelligence bot. The bot gives helpful, detailed, and polite answer... | 620 | [
[
-0.01087188720703125,
-0.06072998046875,
0.00960540771484375,
0.06903076171875,
-0.02862548828125,
-0.002193450927734375,
0.007236480712890625,
-0.02752685546875,
0.0292205810546875,
0.0302734375,
-0.052459716796875,
-0.0244293212890625,
-0.031219482421875,
... |
64bits/LexPodLM-13B | 2023-06-14T00:15:01.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:64bits/lex_fridman_podcast_for_llm_vicuna",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | 64bits | null | null | 64bits/LexPodLM-13B | 10 | 5,968 | transformers | 2023-06-10T06:17:34 | ---
license: other
datasets:
- 64bits/lex_fridman_podcast_for_llm_vicuna
language:
- en
library_name: transformers
tags:
- llama
- transformers
---
LexPodLM-13B is a LLaMA-13B model fine-tuned using Vicuna's schema, with this dataset: https://huggingface.co/datasets/64bits/lex_fridman_podcast_for_llm_vicuna
While it ... | 5,459 | [
[
-0.027435302734375,
-0.059783935546875,
0.056793212890625,
0.013336181640625,
-0.0325927734375,
0.020111083984375,
-0.005947113037109375,
-0.053314208984375,
0.0229339599609375,
0.0090789794921875,
-0.023956298828125,
-0.01459503173828125,
-0.0279693603515625,
... |
CobraMamba/mamba-gpt-3b-v2 | 2023-08-02T10:06:03.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"gpt",
"llm",
"large language model",
"en",
"license:apache-2.0",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | CobraMamba | null | null | CobraMamba/mamba-gpt-3b-v2 | 9 | 5,966 | transformers | 2023-07-27T06:06:44 | ---
language:
- en
library_name: transformers
tags:
- gpt
- llm
- large language model
inference: false
thumbnail: >-
https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico
license: apache-2.0
---
# Model Card
**The Best 3B Model! Surpassing dolly-v2-12b**
The best 3B model on the ... | 8,247 | [
[
-0.030059814453125,
-0.071533203125,
0.0193328857421875,
0.017913818359375,
-0.0343017578125,
-0.00832366943359375,
-0.01459503173828125,
-0.02142333984375,
0.017730712890625,
0.021270751953125,
-0.025726318359375,
-0.048004150390625,
-0.0523681640625,
-0.00... |
TigerResearch/tigerbot-70b-base | 2023-09-20T06:55:42.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"zh",
"en",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | TigerResearch | null | null | TigerResearch/tigerbot-70b-base | 12 | 5,965 | transformers | 2023-09-05T09:12:36 | ---
license: apache-2.0
language:
- zh
- en
---
<div style="width: 100%;">
<p align="center" width="20%">
<img src="http://x-pai.algolet.com/bot/img/logo_core.png" alt="TigerBot" width="20%", style="display: block; margin: auto;"></img>
</p>
</div>
<p align="center">
<font face="黑体" size=5"> A cutting-edg... | 2,089 | [
[
-0.0360107421875,
-0.046112060546875,
0.0179443359375,
0.0220184326171875,
-0.0270538330078125,
0.007030487060546875,
-0.004425048828125,
-0.0261688232421875,
0.043121337890625,
0.0212249755859375,
-0.06317138671875,
-0.027618408203125,
-0.0196533203125,
-0.... |
CHIH-HUNG/llama-2-13b-Open_Platypus_and_ccp_2.6w-3_epoch | 2023-09-11T17:57:44.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"dataset:garage-bAInd/Open-Platypus",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | CHIH-HUNG | null | null | CHIH-HUNG/llama-2-13b-Open_Platypus_and_ccp_2.6w-3_epoch | 0 | 5,965 | transformers | 2023-09-05T15:35:40 | ---
license: llama2
datasets:
- garage-bAInd/Open-Platypus
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
在llama-2-13b上使用garage-bAInd/Open-Platypus資料集進行訓練,總資料筆數約2.5w + ccp
# Fine-Tuning Information
- **GPU:** RTX4090 (single core / 24564MiB)
- **model:** meta-llama/Llama-2-... | 2,425 | [
[
-0.039825439453125,
-0.041046142578125,
0.0157318115234375,
0.01248931884765625,
-0.05047607421875,
0.00860595703125,
-0.01312255859375,
-0.017852783203125,
0.0138702392578125,
0.035369873046875,
-0.04144287109375,
-0.04693603515625,
-0.044708251953125,
0.00... |
Yntec/LehinaModel | 2023-09-17T21:18:19.000Z | [
"diffusers",
"Photorealistic",
"Realism",
"Photo",
"Jehovah",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | Yntec | null | null | Yntec/LehinaModel | 1 | 5,965 | diffusers | 2023-09-17T20:43:01 | ---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Photorealistic
- Realism
- Photo
- Jehovah
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
---
Original model page: https://civitai.com/models/66043/lehinamodel-v11
Sample and prompt:
![Sample]... | 727 | [
[
-0.031402587890625,
-0.057647705078125,
0.0179290771484375,
-0.00547027587890625,
-0.0108642578125,
-0.0258331298828125,
0.0289306640625,
-0.05133056640625,
0.056488037109375,
0.0300445556640625,
-0.057861328125,
-0.0194244384765625,
-0.041961669921875,
-0.0... |
Gryphe/MythoMix-L2-13b | 2023-08-11T05:44:46.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Gryphe | null | null | Gryphe/MythoMix-L2-13b | 16 | 5,964 | transformers | 2023-08-08T15:01:01 | ---
license: other
language:
- en
---
**UPDATE:** There's an improved version now! [Check it MythoMax!](https://huggingface.co/Gryphe/MythoMax-L2-13b)
A requested variant of [MythoLogic-L2](https://huggingface.co/Gryphe/MythoLogic-L2-13b) and [Huginn](https://huggingface.co/The-Face-Of-Goonery/Huginn-13b-FP16) using a... | 1,638 | [
[
-0.0218505859375,
-0.052947998046875,
0.021026611328125,
0.0222015380859375,
-0.0221405029296875,
0.005565643310546875,
-0.003246307373046875,
-0.058685302734375,
0.03759765625,
0.050384521484375,
-0.047607421875,
-0.0214080810546875,
-0.03936767578125,
-0.0... |
CHIH-HUNG/llama-2-13b-FINETUNE1_17w-r16 | 2023-09-12T12:30:26.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"dataset:huangyt/FINETUNE1",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | CHIH-HUNG | null | null | CHIH-HUNG/llama-2-13b-FINETUNE1_17w-r16 | 0 | 5,964 | transformers | 2023-09-06T09:57:47 | ---
license: llama2
datasets:
- huangyt/FINETUNE1
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
在llama-2-13b上使用huangyt/FINETUNE1資料集進行訓練,總資料筆數約17w
# Fine-Tuning Information
- **GPU:** RTX4090 (single core / 24564MiB)
- **model:** meta-llama/Llama-2-13b-hf
- **dataset:** hua... | 2,581 | [
[
-0.0455322265625,
-0.048614501953125,
0.013427734375,
0.01233673095703125,
-0.0479736328125,
0.004352569580078125,
-0.01123046875,
-0.019500732421875,
0.0186004638671875,
0.03265380859375,
-0.04498291015625,
-0.040863037109375,
-0.0428466796875,
0.0134506225... |
Aeala/GPT4-x-AlpacaDente2-30b | 2023-05-06T19:01:10.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Aeala | null | null | Aeala/GPT4-x-AlpacaDente2-30b | 30 | 5,963 | transformers | 2023-05-04T05:28:39 | ## Fresh Alpasta, done Al Dente!
It's da *logical* choice! Now with a similar personality emulation quality to [GPT4-X-Alpasta-30b!](https://huggingface.co/MetaIX/GPT4-X-Alpasta-30b)
## Model Info:
ChanSung's [Alpaca-LoRA-30B-elina](https://huggingface.co/LLMs/Alpaca-LoRA-30B-elina) merged with [Open Assistant's secon... | 776 | [
[
-0.062042236328125,
-0.0506591796875,
0.033050537109375,
0.032928466796875,
-0.03216552734375,
-0.0004146099090576172,
-0.0033206939697265625,
-0.053558349609375,
0.06683349609375,
0.022125244140625,
-0.042999267578125,
-0.01445770263671875,
-0.047637939453125,
... |
beomi/KoAlpaca-KoRWKV-6B | 2023-09-15T01:27:53.000Z | [
"transformers",
"pytorch",
"safetensors",
"rwkv",
"text-generation",
"generated_from_trainer",
"KoRWKV",
"KoAlpaca",
"ko",
"dataset:beomi/KoAlpaca-v1.1a",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | text-generation | beomi | null | null | beomi/KoAlpaca-KoRWKV-6B | 7 | 5,963 | transformers | 2023-06-02T12:00:13 | ---
language:
- ko
license: apache-2.0
library_name: transformers
tags:
- generated_from_trainer
- KoRWKV
- KoAlpaca
datasets:
- beomi/KoAlpaca-v1.1a
pipeline_tag: text-generation
base_model: beomi/KoRWKV-6B
model-index:
- name: KoRWKV-6B-koalpaca-v1.1a
results: []
---
> 🚧 Note: this repo is under construction, cur... | 4,797 | [
[
-0.051116943359375,
-0.046600341796875,
0.01497650146484375,
0.026153564453125,
-0.03173828125,
0.0038623809814453125,
0.015411376953125,
-0.0293121337890625,
0.045379638671875,
0.01396942138671875,
-0.026123046875,
-0.03271484375,
-0.055419921875,
0.0160064... |
Open-Orca/OpenOrcaxOpenChat-Preview2-13B | 2023-08-21T06:20:09.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:Open-Orca/OpenOrca",
"arxiv:2306.02707",
"arxiv:2301.13688",
"arxiv:2307.09288",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Open-Orca | null | null | Open-Orca/OpenOrcaxOpenChat-Preview2-13B | 97 | 5,963 | transformers | 2023-07-31T11:08:55 | ---
license: llama2
language:
- en
library_name: transformers
pipeline_tag: text-generation
datasets:
- Open-Orca/OpenOrca
---
<p><h1>🐋 The Second OpenOrca Model Preview! 🐋</h1></p>

# OpenOrca x Ope... | 16,167 | [
[
-0.04168701171875,
-0.0635986328125,
0.0146484375,
0.0103302001953125,
-0.020050048828125,
-0.010589599609375,
-0.0118560791015625,
-0.0728759765625,
0.0273284912109375,
0.018585205078125,
-0.031219482421875,
-0.054473876953125,
-0.034454345703125,
-0.009956... |
Phind/Phind-CodeLlama-34B-v1 | 2023-08-28T19:53:12.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"code llama",
"license:llama2",
"model-index",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Phind | null | null | Phind/Phind-CodeLlama-34B-v1 | 319 | 5,963 | transformers | 2023-08-25T20:16:25 | ---
license: llama2
model-index:
- name: Phind-CodeLlama-34B-v1
results:
- task:
type: text-generation
dataset:
type: openai_humaneval
name: HumanEval
metrics:
- name: pass@1
type: pass@1
value: 67.6%
verified: false
tags:
- code llama
---
# NOTE: We've now launched ... | 3,974 | [
[
-0.0211944580078125,
-0.051666259765625,
0.0167236328125,
0.0155487060546875,
-0.0249786376953125,
-0.0047760009765625,
-0.0014209747314453125,
-0.033172607421875,
-0.003505706787109375,
0.0242156982421875,
-0.03387451171875,
-0.053436279296875,
-0.0215759277343... |
neulab/codebert-cpp | 2023-02-27T20:56:25.000Z | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"arxiv:2302.05527",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | neulab | null | null | neulab/codebert-cpp | 8 | 5,960 | transformers | 2022-09-26T13:50:02 | This is a `microsoft/codebert-base-mlm` model, trained for 1,000,000 steps (with `batch_size=32`) on **C++** code from the `codeparrot/github-code-clean` dataset, on the masked-language-modeling task.
It is intended to be used in CodeBERTScore: [https://github.com/neulab/code-bert-score](https://github.com/neulab/cod... | 850 | [
[
-0.01450347900390625,
-0.041412353515625,
-0.004119873046875,
0.037384033203125,
-0.006378173828125,
-0.0004360675811767578,
-0.012664794921875,
-0.01499176025390625,
0.00641632080078125,
0.047332763671875,
-0.04168701171875,
-0.053253173828125,
-0.0302581787109... |
CalderaAI/13B-Thorns-l2 | 2023-09-06T11:04:31.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"alpaca",
"cot",
"vicuna",
"uncensored",
"merge",
"mix",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | CalderaAI | null | null | CalderaAI/13B-Thorns-l2 | 6 | 5,953 | transformers | 2023-09-06T03:47:04 | ---
tags:
- llama
- alpaca
- cot
- vicuna
- uncensored
- merge
- mix
---
## 13B-Thorns [An Instruct Based LLaMAv2-13B Ensemble Merge | Alpaca Format]
# WARNING - This Model Is Uncensored And Has Not Been Fully Tested For Toxicity. This Is A Research Artifact Intended For Responsible Use. May Generate Offensive And Mis... | 4,749 | [
[
-0.04339599609375,
-0.041290283203125,
0.03375244140625,
0.0183868408203125,
-0.04266357421875,
0.0170440673828125,
0.007465362548828125,
-0.0745849609375,
0.052581787109375,
0.058990478515625,
-0.0631103515625,
-0.03179931640625,
-0.03997802734375,
-0.01663... |
Corianas/111m | 2023-03-31T13:44:17.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt2",
"text-generation",
"dataset:tatsu-lab/alpaca",
"dataset:the_pile",
"arxiv:1910.09700",
"license:cc-by-nc-sa-4.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Corianas | null | null | Corianas/111m | 2 | 5,951 | transformers | 2023-03-29T14:01:30 | ---
license: cc-by-nc-sa-4.0
datasets:
- tatsu-lab/alpaca
- the_pile
---
# Model Card for Cerebras 111M Dollyfied.
This is a finetuned model of Cerebras 111M model. using DataBricksLabs Dolly Framework
## Model Details
### Model Description
This is a finetuned version of cerebras' 111million paramater model that h... | 4,779 | [
[
-0.0423583984375,
-0.06451416015625,
0.0218963623046875,
0.006069183349609375,
-0.0161590576171875,
-0.02734375,
0.006122589111328125,
-0.031463623046875,
0.01194000244140625,
0.05059814453125,
-0.043548583984375,
-0.039337158203125,
-0.04962158203125,
-0.01... |
CalderaAI/13B-Ouroboros | 2023-07-29T06:38:16.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"alpaca",
"vicuna",
"uncensored",
"merge",
"mix",
"airoboros",
"openorca",
"orcamini",
"orca",
"instruct",
"mixtune",
"en",
"dataset:Open-Orca/OpenOrca",
"dataset:anon8231489123/ShareGPT_Vicuna_unfiltered",
"dataset:jondurbin... | text-generation | CalderaAI | null | null | CalderaAI/13B-Ouroboros | 7 | 5,951 | transformers | 2023-07-20T21:13:34 | ---
tags:
- llama
- alpaca
- vicuna
- uncensored
- merge
- mix
- airoboros
- openorca
- orcamini
- orca
- instruct
- mixtune
datasets:
- Open-Orca/OpenOrca
- anon8231489123/ShareGPT_Vicuna_unfiltered
- jondurbin/airoboros-uncensored
language:
- en
metrics:
- accuracy
pipeline_tag: text-generation
---
## 13B-Ouroboros
... | 3,503 | [
[
-0.041168212890625,
-0.053955078125,
0.01611328125,
0.0282745361328125,
-0.0282135009765625,
0.004329681396484375,
0.0085906982421875,
-0.046783447265625,
0.033416748046875,
0.044830322265625,
-0.0450439453125,
-0.046966552734375,
-0.045806884765625,
0.01075... |
AlekseyKorshuk/chatml-pyg-v1 | 2023-06-10T16:59:31.000Z | [
"transformers",
"pytorch",
"gptj",
"text-generation",
"generated_from_trainer",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | AlekseyKorshuk | null | null | AlekseyKorshuk/chatml-pyg-v1 | 1 | 5,950 | transformers | 2023-06-06T18:44:29 | ---
license: creativeml-openrail-m
tags:
- generated_from_trainer
model-index:
- name: chatml-pyg-v1
results: []
---
<!-- 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. -->
# chatml-pyg... | 1,175 | [
[
-0.0290069580078125,
-0.049957275390625,
-0.004730224609375,
0.01611328125,
-0.030364990234375,
-0.04022216796875,
-0.0218963623046875,
-0.02398681640625,
0.0140380859375,
0.01384735107421875,
-0.049652099609375,
-0.03228759765625,
-0.045654296875,
-0.000046... |
lmsys/vicuna-7b-delta-v1.1 | 2023-08-01T18:23:16.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"arxiv:2302.13971",
"arxiv:2306.05685",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | lmsys | null | null | lmsys/vicuna-7b-delta-v1.1 | 199 | 5,948 | transformers | 2023-04-12T04:15:00 | ---
inference: false
---
**NOTE: New version available**
Please check out a newer version of the weights [here](https://github.com/lm-sys/FastChat/blob/main/docs/vicuna_weights_version.md).
**NOTE: This "delta model" cannot be used directly.**
Users have to apply it on top of the original LLaMA weights to get act... | 2,273 | [
[
-0.01529693603515625,
-0.06463623046875,
0.025390625,
0.03692626953125,
-0.043121337890625,
-0.016021728515625,
-0.0173797607421875,
-0.042694091796875,
0.03179931640625,
0.03094482421875,
-0.045501708984375,
-0.03997802734375,
-0.046173095703125,
-0.0007748... |
CHIH-HUNG/llama-2-13b-dolphin_5w | 2023-09-06T04:55:31.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"dataset:ehartford/dolphin",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | CHIH-HUNG | null | null | CHIH-HUNG/llama-2-13b-dolphin_5w | 0 | 5,948 | transformers | 2023-08-25T00:46:40 | ---
license: llama2
datasets:
- ehartford/dolphin
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
在llama-2-13b上使用dolphin前5萬筆資料集進行訓練
# Fine-Tuning Information
- **GPU:** RTX4090 (single core / 24564MiB)
- **model:** meta-llama/Llama-2-13b-hf
- **dataset:** ehartford/dolphin (... | 2,289 | [
[
-0.04949951171875,
-0.04412841796875,
0.00992584228515625,
0.01491546630859375,
-0.05621337890625,
0.003231048583984375,
-0.005046844482421875,
-0.0260162353515625,
0.0176239013671875,
0.034515380859375,
-0.044677734375,
-0.038818359375,
-0.044464111328125,
... |
CHIH-HUNG/llama-2-13b-Open_Platypus_and_ccp_2.6w | 2023-09-06T04:57:17.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"dataset:garage-bAInd/Open-Platypus",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | CHIH-HUNG | null | null | CHIH-HUNG/llama-2-13b-Open_Platypus_and_ccp_2.6w | 0 | 5,947 | transformers | 2023-09-04T12:05:38 | ---
license: llama2
datasets:
- garage-bAInd/Open-Platypus
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
在llama-2-13b上使用garage-bAInd/Open-Platypus資料集進行訓練,總資料筆數約2.5w + ccp
# Fine-Tuning Information
- **GPU:** RTX4090 (single core / 24564MiB)
- **model:** meta-llama/Llama-2-... | 2,272 | [
[
-0.038330078125,
-0.041473388671875,
0.01374053955078125,
0.0125274658203125,
-0.04998779296875,
0.0086669921875,
-0.01377105712890625,
-0.016845703125,
0.01279449462890625,
0.035858154296875,
-0.04266357421875,
-0.04669189453125,
-0.044403076171875,
0.00751... |
NYTK/PULI-GPTrio | 2023-09-23T14:51:13.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"puli",
"hu",
"en",
"zh",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | NYTK | null | null | NYTK/PULI-GPTrio | 5 | 5,946 | transformers | 2023-06-08T07:52:22 | ---
language:
- hu
- en
- zh
tags:
- text-generation
- puli
license: cc-by-nc-4.0
widget:
- text: Elmesélek egy történetet a nyelvtechnológiáról.
---
# PULI GPTrio (7.67B billion parameter)
For further details read [our paper](http://real.mtak.hu/173960/1/TSD_2023_GPT.pdf) or testing our instruct model, see [our demo... | 2,291 | [
[
-0.0153961181640625,
-0.046295166015625,
0.03009033203125,
0.0143585205078125,
-0.031036376953125,
-0.0130157470703125,
-0.021820068359375,
-0.0322265625,
-0.005290985107421875,
0.0254974365234375,
-0.029632568359375,
-0.038848876953125,
-0.0408935546875,
0.... |
CalderaAI/13B-Legerdemain-L2 | 2023-08-04T10:47:39.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | CalderaAI | null | null | CalderaAI/13B-Legerdemain-L2 | 10 | 5,946 | transformers | 2023-08-03T11:39:49 | ---
license: llama2
---
## 13B-Legerdemain-L2
13B-Legerdemain-L2 is the first model merge of its kind in a series of LLaMaV2 models mixed using a custom script built in-house by CalderaAI called Model-REVOLVER.
M-REVOLVER is also the first in a series of custom scripts based on the concept of mixtuning - not only does... | 4,601 | [
[
-0.039581298828125,
-0.0570068359375,
0.031402587890625,
0.01229095458984375,
-0.03057861328125,
0.003627777099609375,
0.02264404296875,
-0.055511474609375,
0.0185394287109375,
0.054473876953125,
-0.06744384765625,
-0.0280303955078125,
-0.04974365234375,
-0.... |
posicube/Llama2-chat-AYT-13B | 2023-09-14T03:36:00.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"arxiv:2306.02707",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | posicube | null | null | posicube/Llama2-chat-AYT-13B | 12 | 5,946 | transformers | 2023-09-07T09:56:28 | ---
license: llama2
---
This is a model diverged from Llama-2-13b-chat-hf. We hypotheize that if we find a method to ensemble the top rankers in each benchmark effectively, its performance maximizes as well. Following this intuition, we ensembled the top models in each benchmarks(ARC, MMLU and TruthFulQA) to create ou... | 3,445 | [
[
-0.0276031494140625,
-0.056243896484375,
0.0169677734375,
0.0163116455078125,
-0.0181732177734375,
0.0184478759765625,
0.0020751953125,
-0.05267333984375,
0.0119781494140625,
0.01934814453125,
-0.054962158203125,
-0.0408935546875,
-0.051025390625,
-0.0179901... |
ajibawa-2023/scarlett-33b | 2023-08-16T20:20:33.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"license:cc-by-nc-nd-4.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | ajibawa-2023 | null | null | ajibawa-2023/scarlett-33b | 22 | 5,945 | transformers | 2023-08-15T16:41:08 | ---
license: cc-by-nc-nd-4.0
language:
- en
---
**Scarlett: A sentient AI**
Scarlett is trained on various topics such as Philosophy, Advice, Jokes etc. She is trained on more than 10000 set of conversations. Each set having 10~15 conversations.
Scarlett is heavily inspired from Eric Hartford: [Samantha](https://hugg... | 1,356 | [
[
-0.0162200927734375,
-0.0699462890625,
0.0291900634765625,
0.01128387451171875,
-0.0005130767822265625,
0.00191497802734375,
0.01284027099609375,
-0.04132080078125,
0.0268402099609375,
0.04022216796875,
-0.0654296875,
-0.005222320556640625,
-0.04949951171875,
... |
KnutJaegersberg/megatron-gpt2-345m-evol_instruct_v2 | 2023-09-06T18:10:31.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt2",
"text-generation",
"dataset:KnutJaegersberg/WizardLM_evol_instruct_V2_196k_instruct_format",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | KnutJaegersberg | null | null | KnutJaegersberg/megatron-gpt2-345m-evol_instruct_v2 | 1 | 5,945 | transformers | 2023-09-05T15:46:53 | ---
license: cc-by-nc-4.0
datasets:
- KnutJaegersberg/WizardLM_evol_instruct_V2_196k_instruct_format
---
Prompt example:
```
### Instruction:
How do you fine tune a large language model?
### Response:
``` | 206 | [
[
-0.029998779296875,
-0.06585693359375,
0.01995849609375,
-0.0053863525390625,
-0.028778076171875,
-0.00893402099609375,
-0.01678466796875,
0.01068878173828125,
-0.00312042236328125,
0.055450439453125,
-0.054046630859375,
-0.022308349609375,
-0.01474761962890625,... |
The-Face-Of-Goonery/Huginn-13b-FP16 | 2023-08-17T18:39:58.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | The-Face-Of-Goonery | null | null | The-Face-Of-Goonery/Huginn-13b-FP16 | 11 | 5,944 | transformers | 2023-08-05T17:32:43 | ---
{}
---
a merge of a lot of different models, like hermes, beluga, airoboros, chronos.. limarp
significantly better quality than my previous chronos-beluga merge.
Huginn is intended as a general purpose model, that maintains a lot of good knowledge, can perform logical thought and accurately follow instructions... | 487 | [
[
-0.037567138671875,
-0.04901123046875,
0.0213470458984375,
0.0172882080078125,
-0.0404052734375,
-0.0070953369140625,
-0.003162384033203125,
-0.06500244140625,
0.03955078125,
0.04473876953125,
-0.0117645263671875,
0.003276824951171875,
-0.050689697265625,
0.... |
CHIH-HUNG/llama-2-13b-OpenOrca_20w | 2023-09-06T04:54:52.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"dataset:Open-Orca/OpenOrca",
"license:llama2",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | CHIH-HUNG | null | null | CHIH-HUNG/llama-2-13b-OpenOrca_20w | 0 | 5,944 | transformers | 2023-08-30T07:06:08 | ---
license: llama2
datasets:
- Open-Orca/OpenOrca
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
在llama-2-13b上使用open orca前20萬筆資料集進行訓練
# Fine-Tuning Information
- **GPU:** RTX4090 (single core / 24564MiB)
- **model:** meta-llama/Llama-2-13b-hf
- **dataset:** Open-Orca/OpenO... | 2,509 | [
[
-0.04071044921875,
-0.047821044921875,
0.006862640380859375,
0.0037708282470703125,
-0.043487548828125,
-0.0006933212280273438,
-0.00577545166015625,
-0.031402587890625,
0.0191802978515625,
0.03790283203125,
-0.043670654296875,
-0.0516357421875,
-0.03662109375,
... |
Azure99/blossom-v2-3b | 2023-08-11T11:53:58.000Z | [
"transformers",
"pytorch",
"bloom",
"text-generation",
"zh",
"en",
"dataset:Azure99/blossom-chat-v1",
"dataset:Azure99/blossom-math-v1",
"dataset:ehartford/dolphin",
"dataset:WizardLM/WizardLM_evol_instruct_V2_196k",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generati... | text-generation | Azure99 | null | null | Azure99/blossom-v2-3b | 0 | 5,943 | transformers | 2023-08-08T12:13:00 | ---
license: apache-2.0
datasets:
- Azure99/blossom-chat-v1
- Azure99/blossom-math-v1
- ehartford/dolphin
- WizardLM/WizardLM_evol_instruct_V2_196k
language:
- zh
- en
---
# **BLOSSOM-v2-3b**
### 介绍
Blossom是一个对话式语言模型,基于Bloom-3b预训练模型,在Blossom、Wizard、Dolphin混合数据集上进行指令精调得来。
训练分为两阶段,第一阶段使用120K Wizard、180K Dolphin单轮指令数据集... | 830 | [
[
-0.01788330078125,
-0.05859375,
0.0051727294921875,
0.06903076171875,
-0.0205841064453125,
-0.007373809814453125,
0.0118560791015625,
-0.036468505859375,
0.0223846435546875,
0.035858154296875,
-0.043914794921875,
-0.01519775390625,
-0.037994384765625,
-0.010... |
Aeala/GPT4-x-Alpasta-13b | 2023-05-06T19:26:28.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Aeala | null | null | Aeala/GPT4-x-Alpasta-13b | 3 | 5,942 | transformers | 2023-05-06T16:51:34 | ## Pasta with a small twist!
Untested but fresh as of 5/6/2023, taste and hopefully enjoy! ^~^
## Model Info:
ChanSung's [AlpacaGPT4-LoRA-13B-elina](https://huggingface.co/LLMs/AlpacaGPT4-LoRA-13B-elina) merged with [dvruette's llama-13b sft do2 finetune](https://huggingface.co/dvruette/llama-13b-pretrained-sft-do2) | 318 | [
[
-0.041534423828125,
-0.07293701171875,
0.0170440673828125,
0.0404052734375,
-0.033660888671875,
0.00292205810546875,
0.023101806640625,
-0.04803466796875,
0.0716552734375,
0.0389404296875,
-0.067626953125,
0.00582122802734375,
-0.05535888671875,
0.0138320922... |
Aeala/Alpaca-elina-65b | 2023-05-15T10:19:18.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Aeala | null | null | Aeala/Alpaca-elina-65b | 3 | 5,942 | transformers | 2023-05-11T18:36:17 | ## Model Info
Merge of ChanSung's [Alpaca-LoRA-65B-elina](https://huggingface.co/LLMs/Alpaca-LoRA-65B-elina)
## Benchmarks
Coming soon... for now, it was submitted to the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) | 260 | [
[
-0.0577392578125,
-0.058990478515625,
0.016937255859375,
0.0305023193359375,
-0.034820556640625,
-0.0193023681640625,
0.00835418701171875,
-0.064453125,
0.05474853515625,
0.042724609375,
-0.058624267578125,
-0.044921875,
-0.044921875,
-0.0095367431640625,
... |
jondurbin/airoboros-l2-70b-2.1 | 2023-09-08T09:25:02.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"dataset:jondurbin/airoboros-2.1",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | jondurbin | null | null | jondurbin/airoboros-l2-70b-2.1 | 33 | 5,942 | transformers | 2023-08-26T13:33:56 | ---
license: llama2
datasets:
- jondurbin/airoboros-2.1
---
### Overview
__*This model is a bit broken due to a prompt formatting bug in the training code! 2.2 will be available soon and should fix this*__
This is an instruction fine-tuned llama-2 model, using synthetic data generated by [airoboros](https://github.... | 17,468 | [
[
-0.02081298828125,
-0.07989501953125,
0.034332275390625,
0.01861572265625,
-0.0089263916015625,
-0.016357421875,
-0.01303863525390625,
-0.023101806640625,
0.01390838623046875,
0.037841796875,
-0.06103515625,
-0.043792724609375,
-0.0279693603515625,
0.0167083... |
hfl/chinese-bert-wwm | 2021-05-19T19:07:49.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"zh",
"arxiv:1906.08101",
"arxiv:2004.13922",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | fill-mask | hfl | null | null | hfl/chinese-bert-wwm | 42 | 5,941 | transformers | 2022-03-02T23:29:05 | ---
language:
- zh
license: "apache-2.0"
---
## Chinese BERT with Whole Word Masking
For further accelerating Chinese natural language processing, we provide **Chinese pre-trained BERT with Whole Word Masking**.
**[Pre-Training with Whole Word Masking for Chinese BERT](https://arxiv.org/abs/1906.08101)**
Yiming Cu... | 1,993 | [
[
-0.0306243896484375,
-0.054473876953125,
0.0236053466796875,
0.042236328125,
-0.0304107666015625,
-0.00914764404296875,
-0.042999267578125,
-0.053985595703125,
0.0261077880859375,
0.034332275390625,
-0.03448486328125,
-0.034637451171875,
-0.042755126953125,
... |
JosephusCheung/Guanaco | 2023-05-29T12:48:21.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"guannaco",
"alpaca",
"conversational",
"en",
"zh",
"ja",
"de",
"dataset:JosephusCheung/GuanacoDataset",
"doi:10.57967/hf/0607",
"license:gpl-3.0",
"has_space",
"text-generation-inference",
"region:us"
] | conversational | JosephusCheung | null | null | JosephusCheung/Guanaco | 214 | 5,941 | transformers | 2023-04-08T03:03:14 | ---
inference: false
license: gpl-3.0
datasets:
- JosephusCheung/GuanacoDataset
language:
- en
- zh
- ja
- de
pipeline_tag: conversational
tags:
- llama
- guannaco
- alpaca
---

**You can run on Colab free T4 GPU now**
[
- **model:** meta-llama/Llama-2-13b-hf
- **dat... | 2,112 | [
[
-0.04412841796875,
-0.055023193359375,
0.011383056640625,
0.00970458984375,
-0.046905517578125,
-0.0022068023681640625,
-0.0162811279296875,
-0.02130126953125,
0.00757598876953125,
0.03411865234375,
-0.0450439453125,
-0.036895751953125,
-0.042388916015625,
0... |
CHIH-HUNG/llama-2-13b-OpenOrca_5w | 2023-09-06T04:55:05.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"dataset:Open-Orca/OpenOrca",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | CHIH-HUNG | null | null | CHIH-HUNG/llama-2-13b-OpenOrca_5w | 0 | 5,938 | transformers | 2023-08-24T11:36:42 | ---
license: llama2
datasets:
- Open-Orca/OpenOrca
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
在llama-2-13b上使用open orca前5萬筆資料集進行訓練
# Fine-Tuning Information
- **GPU:** RTX4090 (single core / 24564MiB)
- **model:** meta-llama/Llama-2-13b-hf
- **dataset:** Open-Orca/OpenOr... | 2,517 | [
[
-0.040771484375,
-0.04754638671875,
0.00664520263671875,
0.0042266845703125,
-0.043609619140625,
-0.0003371238708496094,
-0.00553131103515625,
-0.030853271484375,
0.019866943359375,
0.03741455078125,
-0.04400634765625,
-0.051849365234375,
-0.036346435546875,
... |
migtissera/Synthia-70B-v1.2 | 2023-10-14T01:34:49.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"arxiv:2306.02707",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | migtissera | null | null | migtissera/Synthia-70B-v1.2 | 15 | 5,936 | transformers | 2023-09-02T05:10:37 | ---
license: llama2
pipeline_tag: text-generation
language:
- en
library_name: transformers
---
<br>

<br>
Change from 1.1 -> 1.2: 20% more data than 1.1 and 2x training time.
All Synthia models are uncensored. Please use it with ca... | 5,508 | [
[
-0.0198822021484375,
-0.07275390625,
0.0333251953125,
0.016998291015625,
-0.0217742919921875,
0.00763702392578125,
-0.0180206298828125,
-0.046356201171875,
0.005161285400390625,
0.01311492919921875,
-0.054931640625,
-0.046539306640625,
-0.0288238525390625,
0... |
KoboldAI/PPO_Pygway-6b-Mix | 2023-03-27T22:34:40.000Z | [
"transformers",
"pytorch",
"gptj",
"text-generation",
"en",
"license:apache-2.0",
"has_space",
"region:us"
] | text-generation | KoboldAI | null | null | KoboldAI/PPO_Pygway-6b-Mix | 20 | 5,932 | transformers | 2023-03-14T19:13:35 | ---
language: en
license: apache-2.0
commercial: 'no'
inference: false
---
# GPT-J 6B - PPO_Pygway Mix
## Model description
This is a merged model, using a weighted parameter blend strategy at a (20:20:60) ratio between the models:
- [20%] - KoboldAI/GPT-J-6B-Janeway: https://huggingface.co/KoboldAI/GPT-J-6B-Janeway
-... | 3,774 | [
[
-0.024749755859375,
-0.052490234375,
0.013275146484375,
0.0189666748046875,
-0.0206146240234375,
-0.0240325927734375,
-0.0186614990234375,
-0.038726806640625,
0.01293182373046875,
0.03680419921875,
-0.04412841796875,
-0.01548004150390625,
-0.04864501953125,
... |
ddobokki/Llama-2-70b-orca-200k | 2023-08-08T00:15:50.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"llama-2",
"instruct",
"instruction",
"en",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | ddobokki | null | null | ddobokki/Llama-2-70b-orca-200k | 6 | 5,932 | transformers | 2023-08-03T01:23:33 | ---
language:
- en
tags:
- llama-2
- instruct
- instruction
pipeline_tag: text-generation
---
# Llama-2-70b-orca-200k model card
### Used Datasets
- OpenOrca (200k sampling)
### Prompt Template
```
### Human: {Human}
### Assistant: {Assistant}
```
### Contribute
[ddobokki](https://github.com/ddobokki)
[YooSungHyun... | 561 | [
[
-0.0212249755859375,
-0.0211944580078125,
0.0250396728515625,
0.030426025390625,
-0.049713134765625,
-0.004863739013671875,
0.028228759765625,
-0.01158905029296875,
0.0256195068359375,
0.046844482421875,
-0.04290771484375,
-0.06640625,
-0.0273284912109375,
0... |
Fredithefish/Guanaco-7B-Uncensored | 2023-09-04T17:09:27.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"conversational",
"en",
"dataset:Fredithefish/openassistant-guanaco-unfiltered",
"license:apache-2.0",
"has_space",
"text-generation-inference",
"region:us"
] | conversational | Fredithefish | null | null | Fredithefish/Guanaco-7B-Uncensored | 6 | 5,932 | transformers | 2023-09-04T17:03:32 | ---
license: apache-2.0
datasets:
- Fredithefish/openassistant-guanaco-unfiltered
language:
- en
library_name: transformers
pipeline_tag: conversational
inference: false
---
<img src="https://huggingface.co/Fredithefish/Guanaco-3B-Uncensored/resolve/main/Guanaco-Uncensored.jpg" alt="Alt Text" width="295"/>
# ✨ Guanac... | 1,079 | [
[
-0.022186279296875,
-0.0465087890625,
0.029083251953125,
0.02337646484375,
-0.07110595703125,
0.0015716552734375,
-0.0046539306640625,
-0.049835205078125,
0.017425537109375,
0.048553466796875,
-0.041534423828125,
-0.0560302734375,
-0.05706787109375,
0.031921... |
togethercomputer/Pythia-Chat-Base-7B | 2023-03-29T02:52:46.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"en",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | togethercomputer | null | null | togethercomputer/Pythia-Chat-Base-7B | 61 | 5,930 | transformers | 2023-03-22T02:03:05 | ---
license: apache-2.0
language:
- en
---
***<p style="font-size: 24px">Feel free to try out our [OpenChatKit feedback app](https://huggingface.co/spaces/togethercomputer/OpenChatKit)!</p>***
# Pythia-Chat-Base-7B-v0.16
> TLDR: As part of OpenChatKit (codebase available [here](https://github.com/togethercomputer/Op... | 8,647 | [
[
-0.017303466796875,
-0.08648681640625,
0.005016326904296875,
0.0123748779296875,
-0.0144500732421875,
-0.00257110595703125,
-0.0285797119140625,
-0.034637451171875,
0.0010738372802734375,
0.0201873779296875,
-0.02423095703125,
-0.0212249755859375,
-0.02551269531... |
migtissera/Synthia-70B-v1.1 | 2023-08-29T14:07:55.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"arxiv:2306.02707",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | migtissera | null | null | migtissera/Synthia-70B-v1.1 | 7 | 5,930 | transformers | 2023-08-28T22:21:49 | ---
license: llama2
pipeline_tag: text-generation
language:
- en
library_name: transformers
---
# Synthia-70B-v1.1
SynthIA (Synthetic Intelligent Agent) is a LLama-2-70B model trained on Orca style datasets. It has been fine-tuned for instruction following as well as having long-form conversations.
This model has gen... | 17,643 | [
[
-0.0235137939453125,
-0.072265625,
0.039520263671875,
0.006359100341796875,
-0.0098724365234375,
0.00997161865234375,
-0.008026123046875,
-0.040496826171875,
0.0039215087890625,
0.019989013671875,
-0.050872802734375,
-0.04876708984375,
-0.026092529296875,
0.... |
alpindale/pygmalion-instruct | 2023-05-24T23:12:37.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"arxiv:2304.12244",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | alpindale | null | null | alpindale/pygmalion-instruct | 5 | 5,929 | transformers | 2023-05-24T18:11:45 | ---
license: mit
---
## Model Details
Experimental model. Trained with the [Pygmalion](https://huggingface.co/PygmalionAI/pygmalion-6b/tree/dev) and the [WizardLM](https://huggingface.co/ehartford/WizardLM-7B-Uncensored) datasets.
The purpose of this model is to enable complex Instruct prompting but with the RP capa... | 1,363 | [
[
-0.01438140869140625,
-0.07757568359375,
0.006084442138671875,
0.03399658203125,
0.00986480712890625,
-0.0209197998046875,
-0.0248870849609375,
-0.019927978515625,
-0.0182647705078125,
0.031646728515625,
-0.05230712890625,
-0.0273590087890625,
-0.03143310546875,... |
BreadAi/gpt-Youtube | 2023-03-24T11:35:36.000Z | [
"transformers",
"pytorch",
"gpt_neox",
"text-generation",
"dataset:breadlicker45/youtube-comments-180k",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | BreadAi | null | null | BreadAi/gpt-Youtube | 2 | 5,927 | transformers | 2023-02-23T02:47:05 | ---
datasets:
- breadlicker45/youtube-comments-180k
pipeline_tag: text-generation
---
this is trained on 180K YouTube comments.
this is trained for 100k steps. | 160 | [
[
-0.01505279541015625,
-0.0167236328125,
0.02886962890625,
0.0226287841796875,
-0.01216888427734375,
-0.00527191162109375,
0.022857666015625,
0.004116058349609375,
0.0308074951171875,
0.052459716796875,
-0.0809326171875,
-0.004711151123046875,
-0.046539306640625,... |
MBZUAI/LaMini-Cerebras-256M | 2023-04-28T13:08:29.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"en",
"arxiv:2304.14402",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | MBZUAI | null | null | MBZUAI/LaMini-Cerebras-256M | 3 | 5,927 | transformers | 2023-04-12T06:14:42 | ---
license: cc-by-nc-4.0
language:
- en
pipeline_tag: text-generation
widget:
- text: >-
Below is an instruction that describes a task.
Write a response that appropriately completes the request.
### Instruction:
how can I become more healthy?
#... | 6,579 | [
[
-0.045928955078125,
-0.05377197265625,
0.0133209228515625,
0.0206756591796875,
-0.019012451171875,
-0.03179931640625,
-0.012603759765625,
-0.045257568359375,
0.027587890625,
0.020599365234375,
-0.059417724609375,
-0.033447265625,
-0.038787841796875,
0.002576... |
RWKV/rwkv-4-1b5-pile | 2023-05-15T10:01:06.000Z | [
"transformers",
"pytorch",
"rwkv",
"text-generation",
"dataset:EleutherAI/pile",
"endpoints_compatible",
"has_space",
"region:us"
] | text-generation | RWKV | null | null | RWKV/rwkv-4-1b5-pile | 5 | 5,926 | transformers | 2023-05-04T13:42:33 | ---
datasets:
- EleutherAI/pile
---

# Model card for RWKV-4 | 1B5 parameters trained on Pile dataset
RWKV is a project led by [Bo Peng](https://github.com/BlinkDL). Learn more about the model archite... | 5,294 | [
[
-0.0287322998046875,
-0.0430908203125,
-0.001308441162109375,
0.012451171875,
-0.0182342529296875,
-0.0240325927734375,
-0.01020050048828125,
-0.02288818359375,
-0.006023406982421875,
0.0187835693359375,
-0.04034423828125,
-0.02667236328125,
-0.037384033203125,
... |
IDEA-CCNL/Ziya-LLaMA-13B-v1 | 2023-09-13T08:50:47.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"zh",
"arxiv:2210.08590",
"license:gpl-3.0",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | IDEA-CCNL | null | null | IDEA-CCNL/Ziya-LLaMA-13B-v1 | 252 | 5,926 | transformers | 2023-05-16T10:32:58 | ---
license: gpl-3.0
language:
- en
- zh
inference: false
---
# Ziya-LLaMA-13B-v1
- Main Page:[Fengshenbang](https://fengshenbang-lm.com/)
- Github: [Fengshenbang-LM](https://github.com/IDEA-CCNL/Fengshenbang-LM)
(LLaMA权重的许可证限制,我们无法直接发布完整的模型权重,用户需要参考[使用说明](#-使用-usage-)进行合并)
# 姜子牙系列模型
- [Ziya-LLaMA-13B-v1.1](http... | 12,780 | [
[
-0.040740966796875,
-0.042449951171875,
0.005035400390625,
0.035980224609375,
-0.0511474609375,
-0.00048089027404785156,
-0.0171966552734375,
-0.041717529296875,
0.0224609375,
0.0155487060546875,
-0.05743408203125,
-0.0369873046875,
-0.0419921875,
0.02078247... |
MBZUAI/LaMini-Cerebras-1.3B | 2023-04-28T13:07:55.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"en",
"arxiv:2304.14402",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | MBZUAI | null | null | MBZUAI/LaMini-Cerebras-1.3B | 1 | 5,925 | transformers | 2023-04-16T13:17:24 | ---
license: cc-by-nc-4.0
language:
- en
pipeline_tag: text-generation
widget:
- text: >-
Below is an instruction that describes a task.
Write a response that appropriately completes the request.
### Instruction:
how can I become more healthy?
#... | 6,579 | [
[
-0.0452880859375,
-0.0543212890625,
0.0134429931640625,
0.020416259765625,
-0.019805908203125,
-0.031951904296875,
-0.012176513671875,
-0.0455322265625,
0.02734375,
0.0207977294921875,
-0.05926513671875,
-0.033416748046875,
-0.03948974609375,
0.0017404556274... |
stabilityai/stablelm-base-alpha-7b-v2 | 2023-09-11T20:48:53.000Z | [
"transformers",
"safetensors",
"stablelm_alpha",
"text-generation",
"causal-lm",
"custom_code",
"en",
"dataset:tiiuae/falcon-refinedweb",
"dataset:togethercomputer/RedPajama-Data-1T",
"dataset:CarperAI/pilev2-dev",
"dataset:bigcode/starcoderdata",
"dataset:JeanKaddour/minipile",
"arxiv:2002.... | text-generation | stabilityai | null | null | stabilityai/stablelm-base-alpha-7b-v2 | 39 | 5,925 | transformers | 2023-08-04T04:38:56 | ---
datasets:
- tiiuae/falcon-refinedweb
- togethercomputer/RedPajama-Data-1T
- CarperAI/pilev2-dev
- bigcode/starcoderdata
- JeanKaddour/minipile
language:
- en
tags:
- causal-lm
license: cc-by-sa-4.0
---
# `StableLM-Base-Alpha-7B-v2`
## Model Description
`StableLM-Base-Alpha-7B-v2` is a 7 billion parameter decoder-... | 5,852 | [
[
-0.029144287109375,
-0.053924560546875,
0.01201629638671875,
0.01540374755859375,
-0.0274658203125,
-0.018310546875,
-0.0157012939453125,
-0.04571533203125,
0.0013141632080078125,
0.0193634033203125,
-0.036865234375,
-0.036956787109375,
-0.04949951171875,
0.... |
cmarkea/bloomz-7b1-mt-sft-chat | 2023-09-23T12:27:58.000Z | [
"transformers",
"pytorch",
"safetensors",
"bloom",
"text-generation",
"fr",
"en",
"dataset:ehartford/wizard_vicuna_70k_unfiltered",
"dataset:shahules786/orca-chat",
"dataset:timdettmers/openassistant-guanaco",
"dataset:laion/OIG",
"arxiv:2012.15613",
"arxiv:2001.09977",
"license:bigscience... | text-generation | cmarkea | null | null | cmarkea/bloomz-7b1-mt-sft-chat | 10 | 5,925 | transformers | 2023-09-11T16:59:44 | ---
license: bigscience-bloom-rail-1.0
datasets:
- ehartford/wizard_vicuna_70k_unfiltered
- shahules786/orca-chat
- timdettmers/openassistant-guanaco
- laion/OIG
language:
- fr
- en
library_name: transformers
pipeline_tag: text-generation
widget:
- text: </s>Bonjour, qui es-tu ?<s>
- text: </s>Hello, who are you?<s... | 16,466 | [
[
-0.037994384765625,
-0.06719970703125,
0.01715087890625,
0.03594970703125,
-0.01172637939453125,
0.00934600830078125,
-0.0190887451171875,
-0.033721923828125,
0.012298583984375,
0.02947998046875,
-0.047698974609375,
-0.032867431640625,
-0.042755126953125,
-0... |
Locutusque/gpt2-large-conversational | 2023-10-09T00:05:12.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt2",
"text-generation",
"en",
"dataset:Locutusque/ColumnedChatCombined",
"dataset:crumb/Clean-Instruct-440k",
"doi:10.57967/hf/1215",
"license:openrail",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Locutusque | null | null | Locutusque/gpt2-large-conversational | 3 | 5,921 | transformers | 2023-06-16T04:43:45 | ---
license: openrail
datasets:
- Locutusque/ColumnedChatCombined
- crumb/Clean-Instruct-440k
language:
- en
metrics:
- bleu
- perplexity
- loss
- reward
- penalty
pipeline_tag: text-generation
---
# Model Card
* this model is deprecated, please see https://huggingface.co/Locutusque/gpt2-large-conversational-retrain fo... | 6,119 | [
[
-0.0147705078125,
-0.07537841796875,
0.0214691162109375,
0.0189056396484375,
-0.021820068359375,
-0.01406097412109375,
-0.021942138671875,
-0.0303955078125,
-0.020294189453125,
0.0191802978515625,
-0.036529541015625,
-0.0285797119140625,
-0.049957275390625,
... |
darkstorm2150/Protogen_Infinity_Official_Release | 2023-01-27T17:43:23.000Z | [
"diffusers",
"stable-diffusion",
"stable-diffusion-diffusers",
"text-to-image",
"art",
"artistic",
"en",
"license:creativeml-openrail-m",
"endpoints_compatible",
"has_space",
"diffusers:StableDiffusionPipeline",
"region:us"
] | text-to-image | darkstorm2150 | null | null | darkstorm2150/Protogen_Infinity_Official_Release | 61 | 5,920 | diffusers | 2023-01-13T07:57:14 | ---
language:
- en
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- art
- artistic
- diffusers
inference: true
license: creativeml-openrail-m
---
## Pending info card
I will be updating soon
## Model Weights

# Model Info:
ChanSung's [Alpaca-LoRA-30B-elina](https://huggingface.co/LLMs/Alpaca-LoRA-30B-elina) merged with [Open As... | 515 | [
[
-0.0556640625,
-0.060791015625,
0.03399658203125,
0.048126220703125,
-0.013702392578125,
-0.002506256103515625,
0.006694793701171875,
-0.04437255859375,
0.0792236328125,
0.017364501953125,
-0.03741455078125,
-0.01021575927734375,
-0.049285888671875,
0.004753... |
CalderaAI/13B-BlueMethod | 2023-07-20T03:29:47.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"alpaca",
"cot",
"vicuna",
"uncensored",
"merge",
"mix",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | CalderaAI | null | null | CalderaAI/13B-BlueMethod | 7 | 5,918 | transformers | 2023-07-07T06:10:55 | ---
tags:
- llama
- alpaca
- cot
- vicuna
- uncensored
- merge
- mix
---
## 13B-BlueMethod
## Composition:
BlueMethod is a bit of a convoluted experiment in tiered merging.
Furthering the experimental nature of the merge, the models combined
were done so with a custom script that randomized the percent of each
layer ... | 1,855 | [
[
-0.045257568359375,
-0.036773681640625,
0.0218505859375,
0.042083740234375,
-0.01247406005859375,
0.0117950439453125,
0.01242828369140625,
-0.05120849609375,
0.033966064453125,
0.036590576171875,
-0.058135986328125,
-0.0478515625,
-0.0308837890625,
-0.004463... |
jondurbin/airoboros-l2-70b-gpt4-m2.0 | 2023-08-14T10:12:42.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"dataset:jondurbin/airoboros-gpt4-m2.0",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | jondurbin | null | null | jondurbin/airoboros-l2-70b-gpt4-m2.0 | 10 | 5,918 | transformers | 2023-07-30T09:41:55 | ---
license: other
datasets:
- jondurbin/airoboros-gpt4-m2.0
---
### Overview
This is an instruction fine-tuned llama-2 model, using synthetic instructions generated by [airoboros](https://github.com/jondurbin/airoboros)
- The 2.0 series are generated exclusively from 0614 version of gpt-4, as mechanism to compare t... | 17,506 | [
[
-0.02313232421875,
-0.0682373046875,
0.039093017578125,
0.0191497802734375,
-0.01190185546875,
-0.0206451416015625,
-0.01001739501953125,
-0.02679443359375,
0.01172637939453125,
0.032928466796875,
-0.0518798828125,
-0.042083740234375,
-0.031890869140625,
0.0... |
Doctor-Shotgun/CalliopeDS-v2-L2-13B | 2023-10-01T02:50:13.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"llama-2",
"en",
"license:llama2",
"text-generation-inference",
"region:us"
] | text-generation | Doctor-Shotgun | null | null | Doctor-Shotgun/CalliopeDS-v2-L2-13B | 1 | 5,918 | transformers | 2023-09-28T22:25:47 | ---
inference: false
language:
- en
library_name: transformers
pipeline_tag: text-generation
tags:
- llama
- llama-2
license: llama2
---
# CalliopeDS-v2-L2-13B
[EXL2 Quants](https://huggingface.co/Doctor-Shotgun/CalliopeDS-v2-L2-13B-exl2)
[GGUF Quants](https://huggingface.co/Doctor-Shotgun/Misc-Models)
This is a Lla... | 3,472 | [
[
-0.02935791015625,
-0.06512451171875,
0.0274810791015625,
0.03704833984375,
-0.0243682861328125,
-0.00658416748046875,
0.006031036376953125,
-0.0516357421875,
0.037353515625,
0.059967041015625,
-0.0557861328125,
-0.0154571533203125,
-0.044708251953125,
0.002... |
eachadea/vicuna-13b-1.1 | 2023-05-02T09:07:12.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"license:apache-2.0",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | eachadea | null | null | eachadea/vicuna-13b-1.1 | 134 | 5,916 | transformers | 2023-04-13T01:47:56 | ---
license: apache-2.0
inference: false
---
**delta v1.1 merge**
<br>
<br>
# Vicuna Model Card
## Model details
**Model type:**
Vicuna is an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT.
It is an auto-regressive language model, based on the transformer arc... | 1,679 | [
[
-0.0301513671875,
-0.06378173828125,
0.0255279541015625,
0.018096923828125,
-0.0391845703125,
-0.0285491943359375,
-0.00778961181640625,
-0.044189453125,
0.012664794921875,
0.044769287109375,
-0.0491943359375,
-0.039886474609375,
-0.036102294921875,
-0.01092... |
Doctor-Shotgun/CalliopeDS-L2-13B | 2023-09-16T02:30:16.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"llama-2",
"en",
"arxiv:2306.01708",
"license:agpl-3.0",
"text-generation-inference",
"region:us"
] | text-generation | Doctor-Shotgun | null | null | Doctor-Shotgun/CalliopeDS-L2-13B | 5 | 5,915 | transformers | 2023-09-16T01:11:49 | ---
inference: false
language:
- en
library_name: transformers
pipeline_tag: text-generation
tags:
- llama
- llama-2
license: agpl-3.0
---
# Model Card: CalliopeDS-L2-13B
This is a Llama 2-based model consisting of a merge of several models using a weight-adjusted TIES merge ([Resolving Interference When Merging Model... | 2,815 | [
[
-0.025146484375,
-0.050079345703125,
0.0180816650390625,
0.0286865234375,
-0.03350830078125,
-0.005001068115234375,
0.0038127899169921875,
-0.04852294921875,
0.032318115234375,
0.0576171875,
-0.06817626953125,
-0.0143280029296875,
-0.047760009765625,
-0.0012... |
BreadAi/MuseCan | 2023-03-21T22:21:28.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"dataset:breadlicker45/musenet-encoders-12k",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | BreadAi | null | null | BreadAi/MuseCan | 0 | 5,914 | transformers | 2023-02-24T22:37:41 | ---
datasets:
- breadlicker45/musenet-encoders-12k
---
MuseCan: A Generative Model for Music Generation
Introduction
Music is a powerful form of expression that can be enjoyed by people of all ages and backgrounds. It can be used to convey a wide range of emotions and to tell stories in a unique way. However, creating... | 2,769 | [
[
-0.047393798828125,
-0.0213775634765625,
0.0261688232421875,
0.0325927734375,
-0.024993896484375,
0.0167083740234375,
-0.021484375,
-0.031402587890625,
0.0180511474609375,
0.038055419921875,
-0.0782470703125,
-0.033355712890625,
-0.019622802734375,
-0.011856... |
CobraMamba/mamba-gpt-3b-v3 | 2023-08-03T01:55:05.000Z | [
"transformers",
"pytorch",
"safetensors",
"llama",
"text-generation",
"gpt",
"llm",
"large language model",
"en",
"license:apache-2.0",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | CobraMamba | null | null | CobraMamba/mamba-gpt-3b-v3 | 13 | 5,914 | transformers | 2023-07-28T07:45:24 | ---
language:
- en
library_name: transformers
tags:
- gpt
- llm
- large language model
inference: false
thumbnail: >-
https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico
license: apache-2.0
---
# Model Card
**The Best 3B Model! Surpassing dolly-v2-12b**
The best 3B model on the ... | 6,120 | [
[
-0.03289794921875,
-0.069580078125,
0.0156402587890625,
0.028839111328125,
-0.035491943359375,
-0.01053619384765625,
-0.0206756591796875,
-0.036224365234375,
0.0154571533203125,
0.020965576171875,
-0.0249786376953125,
-0.054901123046875,
-0.0511474609375,
-0... |
ai-forever/mGPT-1.3B-uzbek | 2023-08-11T08:03:02.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"gpt3",
"mgpt",
"uz",
"en",
"ru",
"license:mit",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | ai-forever | null | null | ai-forever/mGPT-1.3B-uzbek | 3 | 5,913 | transformers | 2023-08-10T05:12:29 | ---
language:
- uz
- en
- ru
license: mit
tags:
- gpt3
- transformers
- mgpt
---
# 🇺🇿 Uzbek mGPT 1.3B
Language model for Uzbek. Model has 1.3B parameters as you can guess from it's name.
Uzbek belongs to Turkic language family. It's a very rhythmic language with approximately 32 million speakers. Here are some fact... | 3,187 | [
[
-0.03607177734375,
-0.02508544921875,
0.023651123046875,
0.035888671875,
-0.03338623046875,
0.01512908935546875,
-0.00894927978515625,
-0.04425048828125,
0.02880859375,
0.01496124267578125,
-0.051788330078125,
-0.052215576171875,
-0.038604736328125,
0.008682... |
TheBloke/koala-13B-HF | 2023-06-05T00:09:42.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"koala",
"ShareGPT",
"gptq",
"dataset:RyokoAI/ShareGPT52K",
"dataset:Hello-SimpleAI/HC3",
"license:other",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/koala-13B-HF | 40 | 5,912 | transformers | 2023-04-07T21:12:27 | ---
license: other
library_name: transformers
pipeline_tag: text-generation
datasets:
- RyokoAI/ShareGPT52K
- Hello-SimpleAI/HC3
tags:
- koala
- ShareGPT
- llama
- gptq
---
<!-- header start -->
<div style="width: 100%;">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400... | 5,314 | [
[
-0.030914306640625,
-0.05792236328125,
0.0180206298828125,
0.022216796875,
-0.0235443115234375,
-0.01503753662109375,
0.0146636962890625,
-0.04437255859375,
0.022308349609375,
0.0194549560546875,
-0.040863037109375,
-0.0257720947265625,
-0.03448486328125,
0.... |
Mikivis/gpt2-large-lora-sft | 2023-09-09T10:15:37.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt2",
"text-generation",
"generated_from_trainer",
"dataset:customized",
"license:mit",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Mikivis | null | null | Mikivis/gpt2-large-lora-sft | 1 | 5,911 | transformers | 2023-09-04T08:58:35 | ---
license: mit
base_model: gpt2-large
tags:
- generated_from_trainer
datasets:
- customized
model-index:
- name: gpt2-large-lora-sft
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remo... | 1,169 | [
[
-0.038238525390625,
-0.06451416015625,
0.0229949951171875,
0.00748443603515625,
-0.03656005859375,
-0.027069091796875,
-0.00897979736328125,
-0.0272064208984375,
0.0152435302734375,
0.0257415771484375,
-0.040283203125,
-0.027069091796875,
-0.054779052734375,
... |
Open-Orca/OpenOrca-Preview1-13B | 2023-07-17T06:07:48.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:Open-Orca/OpenOrca",
"arxiv:2306.02707",
"arxiv:2301.13688",
"license:mit",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Open-Orca | null | null | Open-Orca/OpenOrca-Preview1-13B | 144 | 5,910 | transformers | 2023-07-12T01:13:58 | ---
license: mit
language:
- en
library_name: transformers
pipeline_tag: text-generation
datasets:
- Open-Orca/OpenOrca
---
<p><h1>🐋 The First OpenOrca Model Preview! 🐋</h1></p>

# OpenOrca-Preview1-13... | 5,546 | [
[
-0.03851318359375,
-0.0650634765625,
0.01103973388671875,
-0.003032684326171875,
-0.01561737060546875,
-0.005741119384765625,
-0.0202789306640625,
-0.0703125,
0.0090179443359375,
0.0152740478515625,
-0.042999267578125,
-0.05194091796875,
-0.026092529296875,
... |
KnutJaegersberg/RWKV-4-PilePlus-1B5-20230520-2942-486Gtokens-ctx4096 | 2023-09-05T10:00:35.000Z | [
"transformers",
"pytorch",
"rwkv",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | KnutJaegersberg | null | null | KnutJaegersberg/RWKV-4-PilePlus-1B5-20230520-2942-486Gtokens-ctx4096 | 0 | 5,910 | transformers | 2023-09-05T09:09:08 | ---
license: apache-2.0
---
This is just a standard conversion to hf transformers format of models from here:
https://huggingface.co/BlinkDL/rwkv-4-pileplus
According to the documentation I found, this model should have seen roundabout roundabout 0.8 trillion tokens! | 270 | [
[
-0.038177490234375,
-0.055908203125,
0.019195556640625,
0.0243988037109375,
-0.029449462890625,
-0.025238037109375,
0.034149169921875,
-0.007358551025390625,
0.0284881591796875,
0.07391357421875,
-0.05810546875,
-0.03204345703125,
-0.00916290283203125,
-0.00... |
amberoad/bert-multilingual-passage-reranking-msmarco | 2022-08-26T13:14:54.000Z | [
"transformers",
"pytorch",
"tf",
"jax",
"bert",
"text-classification",
"msmarco",
"multilingual",
"passage reranking",
"af",
"sq",
"ar",
"an",
"hy",
"ast",
"az",
"ba",
"eu",
"bar",
"be",
"bn",
"inc",
"bs",
"br",
"bg",
"my",
"ca",
"ceb",
"ce",
"zh",
"cv",
... | text-classification | amberoad | null | null | amberoad/bert-multilingual-passage-reranking-msmarco | 38 | 5,909 | transformers | 2022-03-02T23:29:05 | ---
language:
- multilingual
- af
- sq
- ar
- an
- hy
- ast
- az
- ba
- eu
- bar
- be
- bn
- inc
- bs
- br
- bg
- my
- ca
- ceb
- ce
- zh
- cv
- hr
- cs
- da
- nl
- en
- et
- fi
- fr
- gl
- ka
- de
- el
- gu
- ht
- he
- hi
- hu
- is
- io
- id
- ga
- it
- ja
- jv
- kn
- kk
- ky
- ko
- la
- lv
- lt
- roa
- nds
- lm
- mk... | 8,075 | [
[
-0.0272216796875,
-0.037384033203125,
0.0171966552734375,
0.02520751953125,
-0.01149749755859375,
0.00119781494140625,
-0.01099395751953125,
-0.0494384765625,
0.03924560546875,
0.0014438629150390625,
-0.045318603515625,
-0.06121826171875,
-0.03167724609375,
... |
migtissera/Synthia-70B | 2023-08-23T16:14:47.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"arxiv:2306.02707",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | migtissera | null | null | migtissera/Synthia-70B | 9 | 5,908 | transformers | 2023-08-22T19:51:32 | ---
license: llama2
pipeline_tag: text-generation
language:
- en
library_name: transformers
---
# Synthia-70B
SynthIA (Synthetic Intelligent Agent) is a LLama-2-70B model trained on Orca style datasets. It has been fine-tuned for instruction following as well as having long-form conversations.
<br>

# KoRWKV Model Card
KoRWKV (6B) trained on Korean dataset with RWKVv4 Neo Architecture.
## Model details
**Resea... | 2,238 | [
[
-0.00882720947265625,
-0.068115234375,
0.00913238525390625,
0.0174407958984375,
-0.0309906005859375,
-0.0306396484375,
-0.0096435546875,
-0.054595947265625,
-0.0212860107421875,
0.06695556640625,
-0.031585693359375,
-0.042388916015625,
-0.0418701171875,
-0.0... |
FelixChao/vicuna-7B-chemical | 2023-08-25T12:15:59.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"chemistry",
"en",
"dataset:andersonbcdefg/chemistry",
"arxiv:1910.09700",
"license:apache-2.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | FelixChao | null | null | FelixChao/vicuna-7B-chemical | 0 | 5,903 | transformers | 2023-08-09T04:36:39 | ---
license: apache-2.0
datasets:
- andersonbcdefg/chemistry
language:
- en
metrics:
- bleu
- rouge
pipeline_tag: text-generation
tags:
- chemistry
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated ... | 4,654 | [
[
-0.0465087890625,
-0.04931640625,
0.03936767578125,
0.00434112548828125,
-0.0181121826171875,
-0.01995849609375,
0.0052642822265625,
-0.033477783203125,
0.0191497802734375,
0.04217529296875,
-0.047088623046875,
-0.045196533203125,
-0.040771484375,
-0.0015449... |
TheBloke/CodeLlama-13B-Instruct-fp16 | 2023-08-25T11:13:46.000Z | [
"transformers",
"safetensors",
"llama",
"text-generation",
"llama-2",
"codellama",
"custom_code",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | TheBloke | null | null | TheBloke/CodeLlama-13B-Instruct-fp16 | 28 | 5,900 | transformers | 2023-08-24T16:20:49 | ---
license: llama2
tags:
- llama-2
- codellama
---
<!-- header start -->
<!-- 200823 -->
<div style="width: auto; margin-left: auto; margin-right: auto">
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;">
</div>
<div style="display: flex; ... | 8,618 | [
[
-0.03216552734375,
-0.03997802734375,
0.015655517578125,
0.01049041748046875,
-0.0158538818359375,
0.01016998291015625,
0.0006384849548339844,
-0.0531005859375,
0.0364990234375,
0.0176544189453125,
-0.052947998046875,
-0.0311431884765625,
-0.032806396484375,
... |
Danielbrdz/CodeBarcenas-7b | 2023-09-03T22:50:29.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | Danielbrdz | null | null | Danielbrdz/CodeBarcenas-7b | 0 | 5,899 | transformers | 2023-09-03T22:10:59 | ---
license: llama2
language:
- en
---
CodeBarcenas
Model specialized in the Python language
Based on the model: WizardLM/WizardCoder-Python-7B-V1.0
And trained with the dataset: mlabonne/Evol-Instruct-Python-26k
Made with ❤️ in Guadalupe, Nuevo Leon, Mexico 🇲🇽 | 262 | [
[
-0.020538330078125,
-0.035186767578125,
-0.008392333984375,
0.032623291015625,
0.0021648406982421875,
-0.0018758773803710938,
0.0202789306640625,
-0.0139617919921875,
0.01328277587890625,
0.059478759765625,
-0.025726318359375,
-0.04107666015625,
-0.0037956237792... |
lllyasviel/control_v11p_sd15_softedge | 2023-05-04T18:50:55.000Z | [
"diffusers",
"art",
"controlnet",
"stable-diffusion",
"controlnet-v1-1",
"image-to-image",
"arxiv:2302.05543",
"license:openrail",
"has_space",
"diffusers:ControlNetModel",
"region:us"
] | image-to-image | lllyasviel | null | null | lllyasviel/control_v11p_sd15_softedge | 6 | 5,897 | diffusers | 2023-04-14T19:24:54 | ---
license: openrail
base_model: runwayml/stable-diffusion-v1-5
tags:
- art
- controlnet
- stable-diffusion
- controlnet-v1-1
- image-to-image
duplicated_from: ControlNet-1-1-preview/control_v11p_sd15_softedge
---
# Controlnet - v1.1 - *Soft Edge Version*
**Controlnet v1.1** is the successor model of [Controlnet v1.... | 16,762 | [
[
-0.044891357421875,
-0.04638671875,
0.0103607177734375,
0.04083251953125,
-0.01727294921875,
-0.020538330078125,
0.00238037109375,
-0.0400390625,
0.038818359375,
0.021026611328125,
-0.0577392578125,
-0.02880859375,
-0.055084228515625,
-0.0124359130859375,
... |
KnutJaegersberg/LLongMA-3b-LIMA | 2023-09-03T18:51:00.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"custom_code",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | KnutJaegersberg | null | null | KnutJaegersberg/LLongMA-3b-LIMA | 2 | 5,896 | transformers | 2023-09-03T13:54:25 | ---
license: cc-by-nc-4.0
---
Prompt example:
```
### Instruction:
How do you fine tune a large language model?
### Response:
``` | 132 | [
[
-0.029998779296875,
-0.06585693359375,
0.019927978515625,
-0.00537109375,
-0.02874755859375,
-0.00894927978515625,
-0.01678466796875,
0.01068878173828125,
-0.003139495849609375,
0.055450439453125,
-0.0540771484375,
-0.0222930908203125,
-0.01471710205078125,
... |
VMware/open-llama-0.7T-7B-open-instruct-v1.1 | 2023-06-12T18:17:22.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"conversational",
"en",
"dataset:VMware/open-instruct-v1.1-oasst-dolly-hhrlhf",
"license:cc",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | conversational | VMware | null | null | VMware/open-llama-0.7T-7B-open-instruct-v1.1 | 4 | 5,895 | transformers | 2023-05-31T19:55:12 | ---
license: cc
datasets:
- VMware/open-instruct-v1.1-oasst-dolly-hhrlhf
language:
- en
library_name: transformers
pipeline_tag: conversational
---
# VMware/open-llama-0.7T-7B-open-instruct-v1.1
---
# UPDATE: Final Version Now Available!
Please use the final version: [Open LLaMA 7B Open Instruct](https://huggingfac... | 2,461 | [
[
-0.0243682861328125,
-0.045501708984375,
0.030242919921875,
0.03076171875,
-0.02398681640625,
-0.029022216796875,
-0.00920867919921875,
-0.019195556640625,
-0.00704193115234375,
0.052459716796875,
-0.053314208984375,
-0.04254150390625,
-0.050994873046875,
0.... |
HWERI/pythia-70m-deduped-cleansharegpt | 2023-10-04T14:42:08.000Z | [
"transformers",
"pytorch",
"safetensors",
"gpt_neox",
"text-generation",
"en",
"zh",
"fr",
"es",
"dataset:CaterinaLac/sharegpt-deduplicated",
"license:apache-2.0",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | text-generation | HWERI | null | null | HWERI/pythia-70m-deduped-cleansharegpt | 0 | 5,894 | transformers | 2023-09-12T10:22:33 | ---
license: apache-2.0
datasets:
- CaterinaLac/sharegpt-deduplicated
language:
- en
- zh
- fr
- es
---
# Model Card
Pythia-70m-deduped finetuned on a [cleaned version of ShareGPT data](https://huggingface.co/datasets/CaterinaLac/sharegpt-deduplicated). | 254 | [
[
-0.0205230712890625,
-0.040313720703125,
0.00315093994140625,
-0.0167083740234375,
-0.043121337890625,
-0.0250701904296875,
0.006549835205078125,
-0.0004703998565673828,
0.0218353271484375,
0.052276611328125,
-0.044464111328125,
-0.03289794921875,
-0.02394104003... |
ehartford/Samantha-1.1-70b | 2023-08-23T01:20:06.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"en",
"dataset:ehartford/samantha-data",
"arxiv:2305.14314",
"arxiv:2205.14135",
"license:llama2",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | ehartford | null | null | ehartford/Samantha-1.1-70b | 5 | 5,893 | transformers | 2023-08-20T16:57:59 | ---
license: llama2
language:
- en
datasets:
- ehartford/samantha-data
---
[Meet Samantha](https://erichartford.com/meet-samantha)
This model is trained on Llama-2 and is subject to the Llama-2 license, which permits for commercial and non-commercial use within limits
Samantha has been trained in philosophy, psychol... | 4,773 | [
[
-0.0175323486328125,
-0.059539794921875,
0.051361083984375,
0.0203704833984375,
-0.0275421142578125,
-0.01419830322265625,
0.01812744140625,
-0.046142578125,
0.028411865234375,
0.0286407470703125,
-0.06353759765625,
-0.019989013671875,
-0.017181396484375,
0.... |
MBZUAI/LaMini-Cerebras-590M | 2023-04-28T13:08:13.000Z | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"en",
"arxiv:2304.14402",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | MBZUAI | null | null | MBZUAI/LaMini-Cerebras-590M | 6 | 5,892 | transformers | 2023-04-12T06:23:08 | ---
license: cc-by-nc-4.0
language:
- en
pipeline_tag: text-generation
widget:
- text: >-
Below is an instruction that describes a task.
Write a response that appropriately completes the request.
### Instruction:
how can I become more healthy?
#... | 6,579 | [
[
-0.045684814453125,
-0.053741455078125,
0.0131988525390625,
0.0205078125,
-0.019378662109375,
-0.03179931640625,
-0.01253509521484375,
-0.045074462890625,
0.0276641845703125,
0.020263671875,
-0.05926513671875,
-0.033447265625,
-0.038909912109375,
0.002666473... |
Faradaylab/ARIA-70B-V2 | 2023-10-10T14:02:05.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"code",
"text-generation-inference",
"Meta ",
"facebook",
"openassistant",
"data",
"education",
"languages",
"legal",
"fr",
"en",
"arxiv:2307.09288",
"license:llama2",
"endpoints_compatible",
"region:us"
] | text-generation | Faradaylab | null | null | Faradaylab/ARIA-70B-V2 | 8 | 5,890 | transformers | 2023-09-08T17:30:29 | ---
license: llama2
language:
- fr
- en
tags:
- code
- text-generation-inference
- 'Meta '
- llama
- facebook
- pytorch
- openassistant
- data
- education
- languages
- legal
pipeline_tag: text-generation
inference: true
---
ARIA is the last version of Llama 2 70B finetuned over 50.000 high quality french tokens. We bu... | 4,941 | [
[
-0.015411376953125,
-0.04815673828125,
0.025054931640625,
0.021759033203125,
-0.01617431640625,
0.00461578369140625,
-0.006317138671875,
-0.056488037109375,
-0.0024127960205078125,
0.034576416015625,
-0.04937744140625,
-0.049713134765625,
-0.05792236328125,
... |
GeorgiaTechResearchInstitute/starcoder-gpteacher-code-instruct | 2023-06-12T15:38:10.000Z | [
"transformers",
"pytorch",
"gpt_bigcode",
"text-generation",
"Code-Gen",
"dataset:bigcode/the-stack-dedup",
"dataset:teknium1/GPTeacher-codegen",
"arxiv:1911.02150",
"arxiv:2205.14135",
"arxiv:2207.14255",
"arxiv:2305.06161",
"license:bigcode-openrail-m",
"endpoints_compatible",
"has_space... | text-generation | GeorgiaTechResearchInstitute | null | null | GeorgiaTechResearchInstitute/starcoder-gpteacher-code-instruct | 74 | 5,889 | transformers | 2023-05-05T20:04:05 | ---
license: bigcode-openrail-m
datasets:
- bigcode/the-stack-dedup
- teknium1/GPTeacher-codegen
library_name: transformers
pipeline_tag: text-generation
tags:
- Code-Gen
---
# StarCoder GPTeacher-Codegen Fine-Tuned
<!-- Provide a quick summary of what the model is/does. -->
This model is [`bigcode/starcoder`](https:... | 9,002 | [
[
-0.0310516357421875,
-0.05322265625,
0.0322265625,
0.01134490966796875,
-0.0112457275390625,
-0.021148681640625,
-0.02117919921875,
-0.036590576171875,
0.0017452239990234375,
0.0338134765625,
-0.03955078125,
-0.04083251953125,
-0.060455322265625,
0.003566741... |
jondurbin/airoboros-65b-gpt4-1.2 | 2023-06-22T14:59:15.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"dataset:jondurbin/airoboros-gpt4-1.2",
"license:cc-by-nc-4.0",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | jondurbin | null | null | jondurbin/airoboros-65b-gpt4-1.2 | 21 | 5,889 | transformers | 2023-06-14T09:19:02 | ---
license: cc-by-nc-4.0
datasets:
- jondurbin/airoboros-gpt4-1.2
---
### Overview
This is a qlora fine-tuned 65b parameter LlaMa model, using completely synthetic training data created gpt4 via https://github.com/jondurbin/airoboros
This is mostly an extension of [1.1](https://huggingface.co/jondurbin/airoboros-33... | 3,681 | [
[
-0.01352691650390625,
-0.06732177734375,
0.0099334716796875,
0.01490020751953125,
-0.02569580078125,
-0.021209716796875,
-0.004489898681640625,
-0.0275115966796875,
0.021636962890625,
0.0234832763671875,
-0.039642333984375,
-0.039215087890625,
-0.02008056640625,... |
FelixChao/vicuna-33b-coder | 2023-09-11T05:22:28.000Z | [
"transformers",
"pytorch",
"llama",
"text-generation",
"code",
"arxiv:1910.09700",
"license:apache-2.0",
"model-index",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | text-generation | FelixChao | null | null | FelixChao/vicuna-33b-coder | 2 | 5,888 | transformers | 2023-08-22T02:15:25 | ---
tags:
- code
license: apache-2.0
model-index:
- name: Vicuna-Coder
results:
- task:
type: text-generation # Required. Example: automatic-speech-recognition
dataset:
type: nuprl/MultiPL-E # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
name:... | 5,845 | [
[
-0.048187255859375,
-0.045440673828125,
0.03167724609375,
0.0082244873046875,
-0.0239715576171875,
-0.02520751953125,
0.00882720947265625,
-0.047119140625,
0.0176239013671875,
0.049530029296875,
-0.05621337890625,
-0.051025390625,
-0.044219970703125,
-0.0081... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.