Dataset Viewer
modelId
stringlengths 11
67
| org
stringlengths 2
27
| likes
int64 1
692
| PR_CREATED
bool 2
classes | PR_LINK
stringclasses 2
values |
|---|---|---|---|---|
mistralai/Mistral-Large-Instruct-2407
|
mistralai
| 692
| false
| null |
openbmb/MiniCPM-V-2_6
|
openbmb
| 596
| false
| null |
THUDM/glm-4-9b-chat
|
THUDM
| 528
| false
| null |
google/gemma-2-2b-it
|
google
| 459
| true
| null |
google/gemma-2-9b-it
|
google
| 391
| true
| null |
google/gemma-2-27b-it
|
google
| 366
| true
| null |
microsoft/Phi-3.5-MoE-instruct
|
microsoft
| 332
| false
| null |
microsoft/Phi-3.5-mini-instruct
|
microsoft
| 289
| false
| null |
microsoft/Phi-3.5-vision-instruct
|
microsoft
| 261
| false
| null |
deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct
|
deepseek-ai
| 250
| false
| null |
Groq/Llama-3-Groq-8B-Tool-Use
|
Groq
| 243
| true
|
https://huggingface.co/Groq/Llama-3-Groq-8B-Tool-Use/discussions/9
|
SciPhi/Triplex
|
SciPhi
| 219
| false
| null |
Sao10K/L3-8B-Stheno-v3.2
|
Sao10K
| 194
| false
| null |
HuggingFaceM4/Idefics3-8B-Llama3
|
HuggingFaceM4
| 175
| false
| null |
internlm/internlm-xcomposer2d5-7b
|
internlm
| 169
| false
| null |
Qwen/Qwen2-Audio-7B-Instruct
|
Qwen
| 168
| false
| null |
deepseek-ai/DeepSeek-V2-Chat-0628
|
deepseek-ai
| 158
| false
| null |
Nexusflow/Athene-70B
|
Nexusflow
| 148
| true
|
https://huggingface.co/Nexusflow/Athene-70B/discussions/11
|
THUDM/glm-4-9b-chat-1m
|
THUDM
| 146
| false
| null |
internlm/internlm2_5-7b-chat
|
internlm
| 145
| false
| null |
Groq/Llama-3-Groq-70B-Tool-Use
|
Groq
| 141
| false
| null |
Alibaba-NLP/gte-Qwen2-7B-instruct
|
Alibaba-NLP
| 139
| false
| null |
fireworks-ai/llama-3-firefunction-v2
|
fireworks-ai
| 126
| false
| null |
mlabonne/NeuralDaredevil-8B-abliterated
|
mlabonne
| 123
| false
| null |
Qwen/Qwen2-7B
|
Qwen
| 115
| false
| null |
numind/NuExtract-large
|
numind
| 110
| false
| null |
Qwen/Qwen2-1.5B-Instruct
|
Qwen
| 107
| false
| null |
UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3
|
UCLA-AGI
| 104
| false
| null |
Sao10K/L3-70B-Euryale-v2.1
|
Sao10K
| 103
| false
| null |
qnguyen3/nanoLLaVA-1.5
|
qnguyen3
| 94
| false
| null |
ai21labs/AI21-Jamba-1.5-Mini
|
ai21labs
| 85
| false
| null |
arcee-ai/Arcee-Spark
|
arcee-ai
| 84
| false
| null |
arcee-ai/Arcee-Agent
|
arcee-ai
| 82
| false
| null |
Qwen/Qwen2-0.5B
|
Qwen
| 79
| false
| null |
Sao10K/L3-8B-Lunaris-v1
|
Sao10K
| 77
| false
| null |
AnatoliiPotapov/T-lite-instruct-0.1
|
AnatoliiPotapov
| 77
| false
| null |
NousResearch/Hermes-2-Theta-Llama-3-70B
|
NousResearch
| 76
| false
| null |
akjindal53244/Llama-3.1-Storm-8B
|
akjindal53244
| 76
| false
| null |
nothingiisreal/MN-12B-Celeste-V1.9
|
nothingiisreal
| 72
| false
| null |
UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3
|
UCLA-AGI
| 72
| false
| null |
THUDM/LongWriter-glm4-9b
|
THUDM
| 68
| false
| null |
Alibaba-NLP/gte-Qwen2-1.5B-instruct
|
Alibaba-NLP
| 68
| false
| null |
Tencent-Hunyuan/HunyuanCaptioner
|
Tencent-Hunyuan
| 67
| false
| null |
aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored
|
aifeifei798
| 66
| false
| null |
intervitens/mini-magnum-12b-v1.1
|
intervitens
| 66
| false
| null |
internlm/internlm2_5-20b-chat
|
internlm
| 65
| false
| null |
Qwen/Qwen2-Math-72B-Instruct
|
Qwen
| 64
| false
| null |
NeverSleep/Lumimaid-v0.2-12B
|
NeverSleep
| 64
| false
| null |
hugging-quants/Meta-Llama-3.1-70B-Instruct-AWQ-INT4
|
hugging-quants
| 63
| false
| null |
ClosedCharacter/Peach-9B-8k-Roleplay
|
ClosedCharacter
| 63
| false
| null |
failspy/Llama-3-8B-Instruct-MopeyMule
|
failspy
| 62
| false
| null |
sarvamai/sarvam-2b-v0.5
|
sarvamai
| 61
| false
| null |
dunzhang/stella_en_1.5B_v5
|
dunzhang
| 59
| false
| null |
cyberagent/calm3-22b-chat
|
cyberagent
| 59
| false
| null |
internlm/internlm2_5-7b-chat-1m
|
internlm
| 58
| false
| null |
elyza/Llama-3-ELYZA-JP-8B
|
elyza
| 58
| false
| null |
nyu-visionx/cambrian-8b
|
nyu-visionx
| 57
| false
| null |
Qwen/Qwen2-1.5B
|
Qwen
| 56
| false
| null |
UnfilteredAI/NSFW-3B
|
UnfilteredAI
| 55
| false
| null |
h2oai/h2o-danube3-4b-chat
|
h2oai
| 55
| false
| null |
cyberagent/Llama-3.1-70B-Japanese-Instruct-2407
|
cyberagent
| 53
| false
| null |
dnhkng/RYS-XLarge
|
dnhkng
| 52
| false
| null |
Salesforce/xLAM-7b-fc-r
|
Salesforce
| 51
| false
| null |
Nitral-AI/Hathor_Stable-v0.2-L3-8B
|
Nitral-AI
| 49
| false
| null |
NeverSleep/Lumimaid-v0.2-8B
|
NeverSleep
| 48
| false
| null |
deepseek-ai/DeepSeek-Coder-V2-Base
|
deepseek-ai
| 47
| false
| null |
Sao10K/L3-8B-Stheno-v3.3-32K
|
Sao10K
| 46
| false
| null |
google/recurrentgemma-9b-it
|
google
| 45
| false
| null |
deepseek-ai/DeepSeek-Coder-V2-Lite-Base
|
deepseek-ai
| 45
| false
| null |
Qwen/Qwen2-Audio-7B
|
Qwen
| 45
| false
| null |
IndexTeam/Index-1.9B-Chat
|
IndexTeam
| 43
| false
| null |
PleIAs/OCRonos
|
PleIAs
| 41
| false
| null |
hugging-quants/Meta-Llama-3.1-8B-Instruct-AWQ-INT4
|
hugging-quants
| 41
| false
| null |
fixie-ai/ultravox-v0_2
|
fixie-ai
| 40
| false
| null |
IlyaGusev/gemma-2-2b-it-abliterated
|
IlyaGusev
| 40
| false
| null |
nothingiisreal/L3-8B-Celeste-V1.2
|
nothingiisreal
| 39
| false
| null |
OuteAI/Lite-Mistral-150M-v2-Instruct
|
OuteAI
| 39
| false
| null |
TheDrummer/Gemmasutra-Mini-2B-v1
|
TheDrummer
| 37
| false
| null |
Lin-Chen/sharegpt4video-8b
|
Lin-Chen
| 37
| false
| null |
PatronusAI/Llama-3-Patronus-Lynx-8B-Instruct
|
PatronusAI
| 37
| false
| null |
arcee-ai/Arcee-Nova
|
arcee-ai
| 36
| false
| null |
google/shieldgemma-2b
|
google
| 36
| false
| null |
SeaLLMs/SeaLLMs-v3-7B-Chat
|
SeaLLMs
| 36
| false
| null |
openbmb/MiniCPM-V-2_6-int4
|
openbmb
| 35
| false
| null |
nothingiisreal/Celeste-12B-V1.6
|
nothingiisreal
| 35
| false
| null |
Sao10K/Llama-3.1-8B-Stheno-v3.4
|
Sao10K
| 35
| false
| null |
Replete-AI/Replete-Coder-Llama3-8B
|
Replete-AI
| 34
| false
| null |
Orenguteng/Llama-3.1-8B-Lexi-Uncensored
|
Orenguteng
| 34
| false
| null |
DAMO-NLP-SG/VideoLLaMA2-7B
|
DAMO-NLP-SG
| 34
| false
| null |
numind/NuExtract-tiny
|
numind
| 33
| false
| null |
PowerInfer/TurboSparse-Mixtral
|
PowerInfer
| 33
| false
| null |
arcee-ai/Llama-3-SEC-Chat
|
arcee-ai
| 32
| false
| null |
aws-prototyping/MegaBeam-Mistral-7B-512k
|
aws-prototyping
| 32
| false
| null |
failspy/Meta-Llama-3-70B-Instruct-abliterated-v3.5
|
failspy
| 32
| false
| null |
Salesforce/xLAM-1b-fc-r
|
Salesforce
| 32
| false
| null |
sarvamai/shuka_v1
|
sarvamai
| 32
| false
| null |
BAAI/Bunny-v1_1-Llama-3-8B-V
|
BAAI
| 31
| false
| null |
KISTI-KONI/KONI-Llama3-8B-Instruct-20240729
|
KISTI-KONI
| 31
| false
| null |
TheDrummer/Smegmma-9B-v1
|
TheDrummer
| 31
| false
| null |
Qwen/Qwen2-Math-7B-Instruct
|
Qwen
| 31
| false
| null |
End of preview. Expand
in Data Studio
Base Model Metadata Sprint
Description
Join us in improving the discoverability and understanding of models on the Hugging Face Hub by adding base_model metadata! This sprint aims to enhance the information available for models derived from, fine-tuned on, or quantized versions of existing base models.
🤗 Strong contributions will win prizes!! 🤗
Why It Matters
Adding base_model metadata helps users:
- Easily find models derived from specific architectures
- Understand the lineage and potential capabilities of a model
- Make informed decisions when choosing models for their projects
- Enables a useful Model Tree on the model repo!
How to Contribute
- Access the Sprint CSV
- Visit the Sprint CSV file on the Hugging Face Hub here
- This CSV contains models that need to be checked for base_model metadata
Choose a Model
- Select a model from the CSV that hasn't been processed yet (PR_CREATED is false)
- Prioritize models with higher 'likes' counts for maximum impact
Check Existing PRs
- Before proceeding, check the model's discussion page to ensure no PR for base_model metadata has been created recently
Investigate the Base Model
- Review the model card and repository for information about the original architecture
- Look for mentions of base models in the model description or training details
- If unclear, you may need to do some research on the model's origin
Add the Base Model Metadata (if applicable)
- Open the model's README.md file on the Hub
- Add or update the following in the YAML metadata section:
base_model: HuggingFaceH4/zephyr-7b-beta - For models derived from multiple base models, use a list:
base_model: - Endevor/InfinityRP-v1-7B - l3utterfly/mistral-7b-v0.1-layla-v4 - Optionally, specify the relationship type:
base_model_relation: quantized
Open a Pull Request (if needed)
- If you've added or updated metadata, submit your changes as a pull request on the model's repository
- In the PR description, explain your reasoning for adding the base_model metadata
Update the Sprint CSV
- Update the row for the model you processed:
- If you created a PR: Set PR_CREATED to "true" and add the PR link to the PR_LINK column
- If no PR was needed: Set PR_CREATED to "Not Required"
- Create a pull request to update the Sprint CSV with your changes
- Update the row for the model you processed:
Guidelines
- Focus on accuracy. It's better to mark "Not Required" than to add incorrect metadata.
- If you're unsure about a base model, you can open a discussion on the model's page to ask the author or community.
- For models with multiple potential base models, prioritize the most direct ancestor.
- Remember that some models may not have a clear base model or may not require this metadata. It's okay to mark these as "Not Required".
Resources
- Guide to Model Cards on Hugging Face
- Base Model Metadata Documentation
- Sprint CSV: https://huggingface.co/datasets/librarian-bots/base_model_sprint/blob/main/no_base_model_specified_has_readme_and_chat_template.csv
Let's work together to make the Hugging Face Hub an even more valuable resource for the AI community!
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