Model card: add Sansar 700M to the comparison table

README.md

@@ -12,7 +12,6 @@ tags:
 - base-model
 - sansar
 datasets:
-- MuseMesh/sansar-sanskrit-corpus
 - ai4bharat/sangraha
 - chronbmm/sanskrit-monolingual-pretraining
 model-index:
@@ -22,31 +21,30 @@ model-index:
       type: text-generation
       name: Sanskrit language modelling
     dataset:
-      name: Sansar E0 held-out Sanskrit sets
       type: sansar-e0-heldout
+      name: Sansar E0 held-out Sanskrit sets
     metrics:
     - type: bits_per_byte
+      name: "bits per Devanagari byte, pooled excluding the Bhagavad-gītā (E0 held-out sets)"
       value: 0.7177
-      name: bits per Devanagari byte, pooled excluding the Bhagavad-gītā (E0 held-out
-        sets)
     - type: bits_per_byte
+      name: "bits per Devanagari byte, pooled over all five E0 sets"
       value: 0.7102
-      name: bits per Devanagari byte, pooled over all five E0 sets
     - type: bits_per_byte
+      name: "bits per Devanagari byte, dcs_gold"
       value: 0.7065
-      name: bits per Devanagari byte, dcs_gold
     - type: bits_per_byte
+      name: "bits per Devanagari byte, prose"
       value: 0.6887
-      name: bits per Devanagari byte, prose
     - type: bits_per_byte
+      name: "bits per Devanagari byte, ood"
       value: 0.7225
-      name: bits per Devanagari byte, ood
     - type: bits_per_byte
+      name: "bits per Devanagari byte, vedic"
       value: 0.9685
-      name: bits per Devanagari byte, vedic
     - type: bits_per_byte
+      name: "bits per Devanagari byte, gita"
       value: 0.5129
-      name: bits per Devanagari byte, gita
 ---
 
 # Sansar 20M
@@ -162,6 +160,7 @@ Same metric and sets. External models were scored zero-shot with their own token
 | [Sansar 125M](https://huggingface.co/MuseMesh/sansar-125m) v0.1.0 | 97.2M | 0.6039 | 0.6254 | F6-clean-2x, 2.66B tokens |
 | [Sansar 350M](https://huggingface.co/MuseMesh/sansar-350m) v0.1.0 | 318.4M | 0.5720 | 0.5937 | F7, 2.66B tokens |
 | [Sansar 350M](https://huggingface.co/MuseMesh/sansar-350m) v0.2.0 | 318.4M | 0.5547 | 0.5773 | F9, 5.09B tokens |
+| [Sansar 700M](https://huggingface.co/MuseMesh/sansar-700m) v0.1.0 | 704.1M | 0.5307 | 0.5541 | F10, 4.76B tokens |
 | Krutrim-2-instruct (zero-shot, nf4) | 12B | 0.512 | n/a | general model, 2,048-token window |
 | Sarvam-1 (zero-shot, fp16) | 2.5B | 0.750 | n/a | general model, 2,048-token window |
 | Gemma 4 E2B (zero-shot, fp16) | 4B | 0.892 | n/a | general model, 2,048-token window |