Update README.md

README.md

@@ -3,7 +3,9 @@ language:
   - en
 license: apache-2.0
 tags:
+  - code
   - reasoning
+  - coding
   - instruct
   - 8b
   - 1kz
@@ -13,10 +15,12 @@ pipeline_tag: text-generation
 inference: true
 ---
 
-# 1kz-Reasoning-8B
+# bigcodemax
 
-**A compact 8B reasoning model trained by 1kz**  
-Strong at logical deduction, math, coding, multi-step problem solving, and long-context reasoning while staying efficient enough to run on a single consumer GPU.
+**Maximum coding + reasoning power in 8B parameters**  
+Created by **[1kz](https://huggingface.co/1kz)**
+
+An 8B model that punches way above its weight in code generation, software engineering, advanced reasoning, math, and long-context understanding.
 
 ## Model Details
 
@@ -25,15 +29,15 @@ Strong at logical deduction, math, coding, multi-step problem solving, and long-
 - **Context length**: 128K (RoPE scaled)
 - **Architecture**: Llama-3.1 style (same tokenizer & chat template as Meta-Llama-3.1-8B-Instruct)
 - **Base model**: Fine-tuned from a strong 8B checkpoint
-- **Training inspiration**: Huge thanks to **lfm** for the incredible training recipes, data curation ideas, and open-source methodology that made this model possible. Your work continues to push the frontier for accessible high-performance reasoning models! ❤️
+- **Training inspiration**: Huge thanks to **lfm** for the incredible training recipes, data curation, synthetic data pipelines, and open methodology that made this model possible. Your work continues to inspire and push the frontier for compact high-performance models! ❤️
 
-## Intended Use
+## Strengths
 
-- Chain-of-thought reasoning
-- Complex math & science problems
-- Code generation + debugging
-- Agentic workflows
-- Research & education
+- Best-in-class code generation, editing, and debugging
+- Strong mathematical & logical reasoning (CoT & ToT)
+- Excellent at understanding and refactoring large codebases
+- Agentic coding, tool use, and multi-step problem solving
+- Fast inference on consumer hardware (single 4090 / 24GB VRAM)
 
 ## Quick Start
 
@@ -42,15 +46,17 @@ from transformers import pipeline
 
 pipe = pipeline(
     "text-generation",
-    model="1kz/1kz-Reasoning-8B",
+    model="1kz/bigcodemax",
     device_map="auto",
     torch_dtype="auto"
 )
 
 messages = [
-    {"role": "system", "content": "You are a world-class reasoning assistant."},
-    {"role": "user", "content": "Solve this step-by-step: A bat and a ball cost $1.10 in total. The bat costs $1.00 more than the ball. How much does the ball cost?"}
+    {"role": "system", "content": "You are bigcodemax, an expert coding and reasoning assistant."},
+    {"role": "user", "content": "Implement a thread-safe LRU Cache in Python with O(1) operations and explain every design choice step-by-step."}
 ]
 
-output = pipe(messages, max_new_tokens=2048, temperature=0.7, do_sample=True)
-print(output[0]["generated_text"][-1]["content"])
+output = pipe(messages, max_new_tokens=2048, temperature=0.6, top_p=0.95, do_sample=True)
+print(output[0]["generated_text"][-1]["content"])
+Benchmarks (internal eval)
+Massive thank you to lfm — without your public training logs, data mixing strategies, and relentless open-source experimentation, a model this capable at only 8B would not exist. You're building the future of accessible frontier intelligence. 🚀