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Model: RedneckBOT/typescript-slm-7b-reasoning-full Source: Original Platform
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README.md
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---
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language:
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- en
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license: mit
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library_name: transformers
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tags:
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- code
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- typescript
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- reasoning
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- react
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- nextjs
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- angular
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- nodejs
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- deepseek
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- gguf
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- ollama
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base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
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datasets:
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- github-code
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model-index:
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- name: TypeScript-SLM-7B-Reasoning-Full
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results: []
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---
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# TypeScript-SLM-7B-Reasoning-Full
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**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.
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This repository hosts the **full merged model** plus **GGUF (q4_k_m)** for lightweight inference.
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## Model Description
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- **Base Model**: [deepseek-ai/DeepSeek-R1-Distill-Qwen-7B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B)
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- **Model Type**: Causal LM (code reasoning)
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- **Parameters**: 7B
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- **Context Length**: Inherits base DeepSeek-R1-Distill-Qwen-7B window
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- **Fine-tuning**: LoRA on TypeScript reasoning/debugging tasks
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- **License**: MIT
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- **Language**: English, TypeScript/JavaScript code
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- **System Prompt**: Focus on step-by-step debugging, refactoring, and design-level explanations before giving the final typed solution.
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### What it is good at
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- ✅ Explaining TypeScript bugs and fixes
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- ✅ Refactoring and API design discussions
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- ✅ Generating strongly-typed code for React/Next.js/Angular/Node.js
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- ✅ Producing clear reasoning traces before final answers
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## Intended Uses
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**Primary**: TypeScript reasoning, debugging, refactoring, and guided code generation.
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**Out-of-scope**: Arbitrary natural-language chat unrelated to code; safety-sensitive or factual tasks outside TypeScript.
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### Prompt Examples
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```
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"Debug this TypeScript function and explain the bug step by step:\n\nfunction add(a?: number, b?: number) { return a + b; }"
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"Design a typed API surface for a Next.js todo service. Explain design choices, then show the final code."
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```
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## How to Use
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### Ollama (recommended for local)
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```bash
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ollama create typescript-slm-7b-reasoning -f gguf/Modelfile-q4_k_m
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ollama run typescript-slm-7b-reasoning "Explain why this React hook re-renders too often..."
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```
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### Transformers
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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model = AutoModelForCausalLM.from_pretrained(
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"sylvester-francis/typescript-slm-7b-reasoning-full",
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torch_dtype=torch.float16,
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device_map="auto",
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)
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tokenizer = AutoTokenizer.from_pretrained("sylvester-francis/typescript-slm-7b-reasoning-full")
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prompt = "Refactor this TypeScript service for better typing and error handling..."
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inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
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outputs = model.generate(
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**inputs,
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max_new_tokens=512,
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temperature=0.3,
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top_p=0.95,
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do_sample=True,
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pad_token_id=tokenizer.eos_token_id,
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)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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### GGUF (llama.cpp)
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```bash
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huggingface-cli download sylvester-francis/typescript-slm-7b-reasoning-full \
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gguf/typescript-slm-7b-reasoning-q4_k_m.gguf --local-dir ./models
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./llama-cli -m ./models/gguf/typescript-slm-7b-reasoning-q4_k_m.gguf \
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-p "Explain and fix this TypeScript type error..."
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```
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## Model Files
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- `gguf/typescript-slm-7b-reasoning-q4_k_m.gguf` (≈4.7GB)
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- `gguf/Modelfile-q4_k_m` (Ollama import)
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## Training Data (summary)
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- Curated TypeScript code from popular GitHub repos (React, Next.js, Angular, Node.js)
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- StackOverflow Q&A focused on debugging and reasoning
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- Filters for strong typing, framework best practices, and reasoning-rich examples
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## Training Configuration (LoRA)
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```yaml
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Base Model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
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Method: LoRA fine-tuning
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Target Domains: TypeScript reasoning, debugging, refactoring
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LoRA Rank / Alpha: tuned for stability and reasoning depth
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Optimizer: AdamW
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Max Sequence Length: inherits base model context window
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```
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## Evaluation
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Qualitative checks on TypeScript debugging/refactoring prompts show:
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- Clear reasoning steps before final code
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- Strong type usage and framework-aware patterns
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- Concise, actionable fixes
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## Safety & Limitations
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- May generate incorrect code or hallucinate APIs—review before production use.
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- Not a security scanner; do not rely on it for vulnerability assessments.
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- Avoid non-code or high-stakes factual tasks.
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## License
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MIT for the fine-tuned model; base model license and dataset terms also apply.
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## Contact
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- Maintainer: Sylvester Francis (`@sylvester-francis` on Hugging Face)
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- Issues/feedback: open a discussion on the model repo
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{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<｜User｜>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<｜Assistant｜><｜tool▁calls▁begin｜><｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{%- set ns.is_first = true -%}{%- else %}{{'\n' + '<｜tool▁call▁begin｜>' + tool['type'] + '<｜tool▁sep｜>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<｜tool▁call▁end｜>'}}{{'<｜tool▁calls▁end｜><｜end▁of▁sentence｜>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<｜tool▁outputs▁end｜>' + message['content'] + '<｜end▁of▁sentence｜>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<｜Assistant｜>' + content + '<｜end▁of▁sentence｜>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<｜tool▁outputs▁begin｜><｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\n<｜tool▁output▁begin｜>' + message['content'] + '<｜tool▁output▁end｜>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<｜tool▁outputs▁end｜>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<｜Assistant｜><think>\n'}}{% endif %}
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config.json
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config.json
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{
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 151643,
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"dtype": "float16",
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"eos_token_id": 151643,
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"hidden_act": "silu",
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"hidden_size": 3584,
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"initializer_range": 0.02,
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"intermediate_size": 18944,
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"layer_types": [
|
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention",
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"full_attention"
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"max_position_embeddings": 131072,
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"max_window_layers": 28,
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"model_type": "qwen2",
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"num_attention_heads": 28,
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"num_hidden_layers": 28,
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"num_key_value_heads": 4,
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"rope_theta": 10000,
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"tie_word_embeddings": false,
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"transformers_version": "4.57.3",
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"use_mrope": false,
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"use_sliding_window": false,
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"vocab_size": 152064
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}
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{
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"_from_model_config": true,
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"bos_token_id": 151646,
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"do_sample": true,
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"eos_token_id": 151643,
|
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"temperature": 0.6,
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"top_p": 0.95,
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"transformers_version": "4.57.3"
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}
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gguf/Modelfile-q4_k_m
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gguf/Modelfile-q4_k_m
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FROM hf.co/sylvester-francis/typescript-slm-7b-reasoning-full:gguf/typescript-slm-7b-reasoning-q4_k_m.gguf
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PARAMETER temperature 0.3
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PARAMETER num_ctx 8192
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PARAMETER top_p 0.95
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SYSTEM """You are TypeScript-SLM 7B Reasoning: a deep reasoning assistant for TypeScript.
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You focus on step-by-step debugging, refactoring, and design-level explanations.
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Explain your reasoning clearly, then present a clean final TypeScript solution."""
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||||
"eos_token": "<｜end▁of▁sentence｜>",
|
||||
"extra_special_tokens": {},
|
||||
"legacy": true,
|
||||
"model_max_length": 16384,
|
||||
"pad_token": "<｜end▁of▁sentence｜>",
|
||||
"sp_model_kwargs": {},
|
||||
"tokenizer_class": "LlamaTokenizerFast",
|
||||
"unk_token": null,
|
||||
"use_default_system_prompt": false
|
||||
}
|
||||
Reference in New Issue
Block a user