Update README.md
Browse files
README.md
CHANGED
|
@@ -27,7 +27,6 @@ tags:
|
|
| 27 |
- Secondary capabilities: General coding, technical English
|
| 28 |
- Training focus: Python logic, standard library usage, algorithmic reasoning
|
| 29 |
- Alignment: Partially uncensored (developer-oriented)
|
| 30 |
-
|
| 31 |
<br>
|
| 32 |
<p>
|
| 33 |
|
|
@@ -39,7 +38,6 @@ tags:
|
|
| 39 |
<p>
|
| 40 |
|
| 41 |
|
| 42 |
-
|
| 43 |
#### Benchmark
|
| 44 |
<p class="justified-text">
|
| 45 |
After intense refining, <b>Nerdsking-python-coder-3B-i</b> has achieved <b>88.41 in HumanEval (bf16)</b>, ranking it amongst the highest-performing Python-focused 3B models ever reported on HumanEval. Surpassing even much bigger models in that area.
|
|
|
|
| 27 |
- Secondary capabilities: General coding, technical English
|
| 28 |
- Training focus: Python logic, standard library usage, algorithmic reasoning
|
| 29 |
- Alignment: Partially uncensored (developer-oriented)
|
|
|
|
| 30 |
<br>
|
| 31 |
<p>
|
| 32 |
|
|
|
|
| 38 |
<p>
|
| 39 |
|
| 40 |
|
|
|
|
| 41 |
#### Benchmark
|
| 42 |
<p class="justified-text">
|
| 43 |
After intense refining, <b>Nerdsking-python-coder-3B-i</b> has achieved <b>88.41 in HumanEval (bf16)</b>, ranking it amongst the highest-performing Python-focused 3B models ever reported on HumanEval. Surpassing even much bigger models in that area.
|