Changelog for update to Rnj-1.

README.md

@@ -1,6 +1,8 @@
 ---
 license: apache-2.0
 library_name: transformers
+base_model:
+- EssentialAI/rnj-1
 ---
 # Rnj-1
 
@@ -66,6 +68,16 @@ library_name: transformers
 
 Rnj-1 is a family of 8B parameter open-weight, dense models trained from scratch by Essential AI, optimized for code and STEM with capabilities on par with SOTA open-weight models. These models perform well across a range of programming languages and boast strong agentic capabilities (e.g., inside agentic frameworks like mini-SWE-agent), while also excelling at tool-calling. They additionally exhibit strong capabilities in math and science. Herein, `rnj-1` refers to the base model, while `rnj-1-instruct` refers to the post-trained instruction tuned model.
 
+# Changelog
+
+* Update December 18, 2025:
+  - System prompt and temperature recommendations: Resolve premature truncations and mitigate unprompted code outputs.
+  - Updates to default chat template.
+  - Updated STEM and comparables tables.
+  - Links to model generations for evals.
+
+* Initial version: December 8, 2025
+
 # Capabilities
 
 We evaluate Rnj-1 models against models of comparable size. In addition to accuracy, we also show the FLOPs used in pre-training for each model.
@@ -159,9 +171,13 @@ The global batch sizes used were:
 
 # Recommendations
 
-### Temperature
+### System Prompt & Temperature
+
+We recommend _always_ adding a system prompt. `You are a helpful assistant.` is a good default prompt to use.
+
+We recommend using temperatures in the range [0, 0.2] for `rnj-1-instruct`.
 
-We recommend using temperatures in the range [0, 0.6] for `rnj-1-instruct`.
+Failure to follow these recommendations can result in a) truncated outputs, b) code outputs even for non-code prompts.
 
 ### Propensity to write code