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Model: RedneckBOT/typescript-slm-7b-reasoning-full
Source: Original Platform

README.md

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+---
+language:
+- en
+license: mit
+library_name: transformers
+tags:
+- code
+- typescript
+- reasoning
+- react
+- nextjs
+- angular
+- nodejs
+- deepseek
+- gguf
+- ollama
+base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
+datasets:
+- github-code
+model-index:
+- name: TypeScript-SLM-7B-Reasoning-Full
+  results: []
+---
+
+# TypeScript-SLM-7B-Reasoning-Full
+
+**TypeScript-SLM-7B-Reasoning** is a 7B-parameter DeepSeek-based model fine-tuned for step-by-step TypeScript reasoning. It merges the base model with LoRA adapters and includes GGUF quantization for local/Ollama workflows.
+
+This repository hosts the **full merged model** plus **GGUF (q4_k_m)** for lightweight inference.
+
+## Model Description
+
+- **Base Model**: [deepseek-ai/DeepSeek-R1-Distill-Qwen-7B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B)
+- **Model Type**: Causal LM (code reasoning)
+- **Parameters**: 7B
+- **Context Length**: Inherits base DeepSeek-R1-Distill-Qwen-7B window
+- **Fine-tuning**: LoRA on TypeScript reasoning/debugging tasks
+- **License**: MIT
+- **Language**: English, TypeScript/JavaScript code
+- **System Prompt**: Focus on step-by-step debugging, refactoring, and design-level explanations before giving the final typed solution.
+
+### What it is good at
+- ✅ Explaining TypeScript bugs and fixes
+- ✅ Refactoring and API design discussions
+- ✅ Generating strongly-typed code for React/Next.js/Angular/Node.js
+- ✅ Producing clear reasoning traces before final answers
+
+## Intended Uses
+
+**Primary**: TypeScript reasoning, debugging, refactoring, and guided code generation.  
+**Out-of-scope**: Arbitrary natural-language chat unrelated to code; safety-sensitive or factual tasks outside TypeScript.
+
+### Prompt Examples
+
+```
+"Debug this TypeScript function and explain the bug step by step:\n\nfunction add(a?: number, b?: number) { return a + b; }"
+
+"Design a typed API surface for a Next.js todo service. Explain design choices, then show the final code."
+```
+
+## How to Use
+
+### Ollama (recommended for local)
+
+```bash
+ollama create typescript-slm-7b-reasoning -f gguf/Modelfile-q4_k_m
+ollama run typescript-slm-7b-reasoning "Explain why this React hook re-renders too often..."
+```
+
+### Transformers
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model = AutoModelForCausalLM.from_pretrained(
+    "sylvester-francis/typescript-slm-7b-reasoning-full",
+    torch_dtype=torch.float16,
+    device_map="auto",
+)
+tokenizer = AutoTokenizer.from_pretrained("sylvester-francis/typescript-slm-7b-reasoning-full")
+
+prompt = "Refactor this TypeScript service for better typing and error handling..."
+inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
+outputs = model.generate(
+    **inputs,
+    max_new_tokens=512,
+    temperature=0.3,
+    top_p=0.95,
+    do_sample=True,
+    pad_token_id=tokenizer.eos_token_id,
+)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+### GGUF (llama.cpp)
+
+```bash
+huggingface-cli download sylvester-francis/typescript-slm-7b-reasoning-full \
+  gguf/typescript-slm-7b-reasoning-q4_k_m.gguf --local-dir ./models
+
+./llama-cli -m ./models/gguf/typescript-slm-7b-reasoning-q4_k_m.gguf \
+  -p "Explain and fix this TypeScript type error..."
+```
+
+## Model Files
+
+- `gguf/typescript-slm-7b-reasoning-q4_k_m.gguf` (≈4.7GB)
+- `gguf/Modelfile-q4_k_m` (Ollama import)
+
+## Training Data (summary)
+
+- Curated TypeScript code from popular GitHub repos (React, Next.js, Angular, Node.js)
+- StackOverflow Q&A focused on debugging and reasoning
+- Filters for strong typing, framework best practices, and reasoning-rich examples
+
+## Training Configuration (LoRA)
+
+```yaml
+Base Model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
+Method: LoRA fine-tuning
+Target Domains: TypeScript reasoning, debugging, refactoring
+LoRA Rank / Alpha: tuned for stability and reasoning depth
+Optimizer: AdamW
+Max Sequence Length: inherits base model context window
+```
+
+## Evaluation
+
+Qualitative checks on TypeScript debugging/refactoring prompts show:
+- Clear reasoning steps before final code
+- Strong type usage and framework-aware patterns
+- Concise, actionable fixes
+
+## Safety & Limitations
+
+- May generate incorrect code or hallucinate APIs—review before production use.
+- Not a security scanner; do not rely on it for vulnerability assessments.
+- Avoid non-code or high-stakes factual tasks.
+
+## License
+
+MIT for the fine-tuned model; base model license and dataset terms also apply.
+
+## Contact
+
+- Maintainer: Sylvester Francis (`@sylvester-francis` on Hugging Face)
+- Issues/feedback: open a discussion on the model repo