Add missing metadata (#1)
Browse files- Add missing metadata (d2189899bb9c9f57d26e774dd2fef6015484ce99)
Co-authored-by: Niels Rogge <[email protected]>
README.md
CHANGED
@@ -74,12 +74,14 @@ model-index:
|
|
74 |
value: 0.4029255319148936
|
75 |
stderr: 0.004471732136513382
|
76 |
verified: false
|
|
|
|
|
77 |
---
|
|
|
78 |
# Control-LLM-Llama3.1-8B-OpenCoder8
|
79 |
-
This is a fine-tuned model of Llama-3.1-8B-Instruct for coding tasks on OpenCoder SFT dataset.
|
80 |
|
81 |
-
|
82 |
-
This model is associated with the paper: [Control-LLM](https://arxiv.org/abs/2501.10979).
|
83 |
|
84 |
## Linked Open Source code - training, eval and benchmark
|
85 |
This model is associated with the github: [Control-LLM](https://github.com/linkedin/ControlLLM).
|
@@ -117,4 +119,4 @@ The table below summarizes evaluation results across coding tasks and original c
|
|
117 |
- **MLU**: MMLU (Massive Multitask Language Understanding)
|
118 |
- **MLUP**: MMLU Pro
|
119 |
- **O-Avg**: Original Capability - Size Weighted Average across ARC, GPQA, MMLU, and MMLU Pro
|
120 |
-
- **Overall**: Combined average across all tasks
|
|
|
74 |
value: 0.4029255319148936
|
75 |
stderr: 0.004471732136513382
|
76 |
verified: false
|
77 |
+
pipeline_tag: text-generation
|
78 |
+
library_name: transformers
|
79 |
---
|
80 |
+
|
81 |
# Control-LLM-Llama3.1-8B-OpenCoder8
|
82 |
+
This is a fine-tuned model of Llama-3.1-8B-Instruct for coding tasks on OpenCoder SFT dataset described in the paper: [Control LLM: Controlled Evolution for Intelligence Retention in LLM](https://huggingface.co/papers/2501.10979).
|
83 |
|
84 |
+
Code: https://github.com/linkedin/ControlLLM.
|
|
|
85 |
|
86 |
## Linked Open Source code - training, eval and benchmark
|
87 |
This model is associated with the github: [Control-LLM](https://github.com/linkedin/ControlLLM).
|
|
|
119 |
- **MLU**: MMLU (Massive Multitask Language Understanding)
|
120 |
- **MLUP**: MMLU Pro
|
121 |
- **O-Avg**: Original Capability - Size Weighted Average across ARC, GPQA, MMLU, and MMLU Pro
|
122 |
+
- **Overall**: Combined average across all tasks
|