Update README.md

README.md

@@ -1,4 +1,8 @@
 ---
+license: other
+license_name: llama3
+license_link: https://huggingface.co/meta-llama/Meta-Llama-3-8B/blob/main/LICENSE
+base_model: meta-llama/Meta-Llama-3-8B
 library_name: transformers
 tags:
 - 4-bit
@@ -6,6 +10,50 @@ tags:
 - text-generation
 - autotrain_compatible
 - endpoints_compatible
+  - llama-3
+  - bagel
+datasets:
+- ai2_arc
+- allenai/ultrafeedback_binarized_cleaned
+- argilla/distilabel-intel-orca-dpo-pairs
+- jondurbin/airoboros-3.2
+- codeparrot/apps
+- facebook/belebele
+- bluemoon-fandom-1-1-rp-cleaned
+- boolq
+- camel-ai/biology
+- camel-ai/chemistry
+- camel-ai/math
+- camel-ai/physics
+- jondurbin/contextual-dpo-v0.1
+- jondurbin/gutenberg-dpo-v0.1
+- jondurbin/py-dpo-v0.1
+- jondurbin/truthy-dpo-v0.1
+- LDJnr/Capybara
+- jondurbin/cinematika-v0.1
+- WizardLM/WizardLM_evol_instruct_70k
+- glaiveai/glaive-function-calling-v2
+- jondurbin/gutenberg-dpo-v0.1
+- grimulkan/LimaRP-augmented
+- lmsys/lmsys-chat-1m
+- ParisNeo/lollms_aware_dataset
+- TIGER-Lab/MathInstruct
+- Muennighoff/natural-instructions
+- openbookqa
+- kingbri/PIPPA-shareGPT
+- piqa
+- Vezora/Tested-22k-Python-Alpaca
+- ropes
+- cakiki/rosetta-code
+- Open-Orca/SlimOrca
+- b-mc2/sql-create-context
+- squad_v2
+- mattpscott/airoboros-summarization
+- migtissera/Synthia-v1.3
+- unalignment/toxic-dpo-v0.2
+- WhiteRabbitNeo/WRN-Chapter-1
+- WhiteRabbitNeo/WRN-Chapter-2
+- winogrande
 pipeline_tag: text-generation
 inference: false
 quantized_by: Suparious
@@ -15,7 +63,15 @@ quantized_by: Suparious
 - Model creator: [jondurbin](https://huggingface.co/jondurbin)
 - Original model: [bagel-8b-v1.0](https://huggingface.co/jondurbin/bagel-8b-v1.0)
 
+![bagel](bagel.png)
 
+## Model Summary
+
+The name of this model is "llama-3-bagel-8b-v1.0" and it was built with llama-3 from Meta.
+
+This is a fine-tune of llama-3-8b using the bagel dataset, but instead of 4 prompt formats it's standardized on a single format - llama-3 instruct.
+
+See [bagel](https://github.com/jondurbin/bagel) for additional details on the datasets.
 
 ## How to use