Add richer information (4/)

Author: DBlankvoort

EXAONE.yaml

@@ -14,7 +14,7 @@
 # - Contributor type: Non-academic (Company)
 
 # Training compute:
-# - Base model training compute: ~2.69e+24 FLOP +- 1.5 OoM (param count & dataset size) [Epoch AI]
+# - Base model training compute: ~2.69e+24 FLOP +- 0.5 OoM (param count & dataset size)
 # - End model training compute: unknown (likely negligible)
 
 system:

Falcon.yaml

@@ -13,6 +13,10 @@
 # - National origin: United Arab Emirates
 # - Contributor type: Academic (Research institution)
 
+# Training compute:
+# - Base model training compute: >= 1.18e+22 FLOP (lower bound from 2x Chinchilla)
+# - End model training compute: unknown (likely negligible)
+
 system:
     name: Falcon
     link: https://huggingface.co/tiiuae/Falcon-H1R-7B
@@ -89,5 +93,5 @@ datasheet:
 # access
 licenses:
     class: closed
-    link: https://huggingface.co/tiiuae/Falcon-H1R-7B
-    notes: Falcon LLM License, not an open license.
+    link: ["https://huggingface.co/tiiuae/Falcon-H1R-7B", "https://huggingface.co/datasets/tiiuae/falcon-refinedweb"]
+    notes: "Weights: Falcon LLM License. Code: not released. Data: ODC-By."

FastChat-T5.yaml

@@ -13,6 +13,10 @@
 # - National origin: International
 # - Contributor type: Non-academic (Research institution)
 
+# Training compute:
+# - Base model training compute: >= 9.75e+20 FLOP (lower bound from Chinchilla)
+# - End model training compute: unknown (likely negligible)
+
 system:
     name: FastChat-T5
     link: https://huggingface.co/lmsys/fastchat-t5-3b-v1.0
@@ -88,6 +92,6 @@ datasheet:
 
 # access:
 licenses:
-    class: partial    
-    link: 
-    notes: weights under apache2
+    class: closed    
+    link: https://huggingface.co/lmsys/fastchat-t5-3b-v1.0
+    notes: "Weights: Apache-2.0. Code: not released. Data: partially disclosed, disclosed elements proprietary."

eurus.yaml

@@ -14,7 +14,7 @@
 # - Contributor type: Academic (Research institution)
 
 # Training compute:
-# - Base model training compute: ~2.34e+024 FLOP +- 1.5 OoM (param count & dataset size) [Epoch AI]
+# - Base model training compute: ~2.34e+24 FLOP +- 1.5 OoM (param count & dataset size) [Epoch AI]
 # - End model training compute: unknown (likely negligible)
 
 system: