Text Generation
Transformers
Safetensors
English
qwen3_5
image-text-to-text
kaiju-coder-7
coding
local-ai
business
opencode
tool-use
conversational
Instructions to use RMDWLLC/kaiju-coder-7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RMDWLLC/kaiju-coder-7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="RMDWLLC/kaiju-coder-7") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("RMDWLLC/kaiju-coder-7") model = AutoModelForImageTextToText.from_pretrained("RMDWLLC/kaiju-coder-7") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] inputs = processor.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use RMDWLLC/kaiju-coder-7 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "RMDWLLC/kaiju-coder-7" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "RMDWLLC/kaiju-coder-7", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/RMDWLLC/kaiju-coder-7
- SGLang
How to use RMDWLLC/kaiju-coder-7 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "RMDWLLC/kaiju-coder-7" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "RMDWLLC/kaiju-coder-7", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "RMDWLLC/kaiju-coder-7" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "RMDWLLC/kaiju-coder-7", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use RMDWLLC/kaiju-coder-7 with Docker Model Runner:
docker model run hf.co/RMDWLLC/kaiju-coder-7
Polish Kaiju Coder 7 Hugging Face model cards
Browse files- FINAL_RELEASE_REPORT.md +1 -1
- GOAL_COMPLETION_AUDIT.md +1 -1
- README.md +18 -2
FINAL_RELEASE_REPORT.md
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
# Kaiju Coder 7 Final Release Report
|
| 2 |
|
| 3 |
-
Generated: `2026-06-04T02:
|
| 4 |
|
| 5 |
Product name: `Kaiju Coder 7`
|
| 6 |
Public model id: `kaiju-coder-7`
|
|
|
|
| 1 |
# Kaiju Coder 7 Final Release Report
|
| 2 |
|
| 3 |
+
Generated: `2026-06-04T02:44:04Z`
|
| 4 |
|
| 5 |
Product name: `Kaiju Coder 7`
|
| 6 |
Public model id: `kaiju-coder-7`
|
GOAL_COMPLETION_AUDIT.md
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
# Kaiju Coder 7 Goal Completion Audit
|
| 2 |
|
| 3 |
-
Generated: `2026-06-04T02:
|
| 4 |
|
| 5 |
Overall: `complete`
|
| 6 |
Summary: `18 passed / 0 blocked / 0 manual`
|
|
|
|
| 1 |
# Kaiju Coder 7 Goal Completion Audit
|
| 2 |
|
| 3 |
+
Generated: `2026-06-04T02:44:04Z`
|
| 4 |
|
| 5 |
Overall: `complete`
|
| 6 |
Summary: `18 passed / 0 blocked / 0 manual`
|
README.md
CHANGED
|
@@ -1,8 +1,24 @@
|
|
| 1 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
|
| 3 |

|
| 4 |
|
| 5 |
-
|
|
|
|
| 6 |
|
| 7 |
## Model Summary
|
| 8 |
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
language:
|
| 4 |
+
- en
|
| 5 |
+
library_name: transformers
|
| 6 |
+
pipeline_tag: text-generation
|
| 7 |
+
tags:
|
| 8 |
+
- kaiju-coder-7
|
| 9 |
+
- coding
|
| 10 |
+
- local-ai
|
| 11 |
+
- business
|
| 12 |
+
- opencode
|
| 13 |
+
- tool-use
|
| 14 |
+
---
|
| 15 |
+
|
| 16 |
+
# Kaiju Coder 7 by Kiyomi
|
| 17 |
|
| 18 |

|
| 19 |
|
| 20 |
+
Kaiju Coder 7 by Kiyomi is an RMDW release model for practical local coding,
|
| 21 |
+
business-owner build work, and OpenCode-assisted artifact generation.
|
| 22 |
|
| 23 |
## Model Summary
|
| 24 |
|