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, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("RMDWLLC/kaiju-coder-7") model = AutoModelForMultimodalLM.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
Add files using upload-large-folder tool
Browse files- FINAL_RELEASE_REPORT.md +2 -2
- GOAL_COMPLETION_AUDIT.md +1 -1
- HF_UPLOAD_EVIDENCE.md +6 -6
FINAL_RELEASE_REPORT.md
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# Kaiju Coder 7 Final Release Report
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Generated: `2026-06-03T23:
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Product name: `Kaiju Coder 7`
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Public model id: `kaiju-coder-7`
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| Small helper repos uploaded | `True` |
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| Merged model uploaded | `True` |
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| Merged repo | `RMDWLLC/kaiju-coder-7` |
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| Merged repo SHA | `
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| Merged upload size | `39 files / 53.8G / 14 safetensors shards recorded` |
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| Download status | `public downloads verified; no active private-storage blocker recorded` |
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| Visibility decision | `PUBLIC`; `HF_VISIBILITY_DECISION: PUBLIC` recorded in human review |
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# Kaiju Coder 7 Final Release Report
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Generated: `2026-06-03T23:55:20Z`
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Product name: `Kaiju Coder 7`
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Public model id: `kaiju-coder-7`
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| Small helper repos uploaded | `True` |
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| Merged model uploaded | `True` |
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| Merged repo | `RMDWLLC/kaiju-coder-7` |
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| Merged repo SHA | `not recorded` |
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| Merged upload size | `39 files / 53.8G / 14 safetensors shards recorded` |
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| Download status | `public downloads verified; no active private-storage blocker recorded` |
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| Visibility decision | `PUBLIC`; `HF_VISIBILITY_DECISION: PUBLIC` recorded in human review |
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GOAL_COMPLETION_AUDIT.md
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# Kaiju Coder 7 Goal Completion Audit
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Generated: `2026-06-03T23:
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Overall: `complete`
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Summary: `18 passed / 0 blocked / 0 manual`
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# Kaiju Coder 7 Goal Completion Audit
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Generated: `2026-06-03T23:55:34Z`
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Overall: `complete`
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Summary: `18 passed / 0 blocked / 0 manual`
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HF_UPLOAD_EVIDENCE.md
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# Kaiju Coder 7 Hugging Face Upload Evidence
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Generated: `2026-06-03T23:
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## Uploaded Repos
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| `RMDWLLC/kaiju-coder-7-adapter` | public | Refreshed public helper/evidence package commit `
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| `RMDWLLC/kaiju-coder-7-opencode` | public | Refreshed OpenCode helper commit `
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| `RMDWLLC/kaiju-coder-7-quantized-runtime` | public | Current public helper commit `
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| `RMDWLLC/kaiju-coder-7` | public | `hf upload-large-folder` completed successfully, then metadata/evidence refreshed at
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These SHAs are a point-in-time release evidence snapshot. Uploading this
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evidence file itself creates another metadata commit, so use `hf models info`
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safetensors shards.
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# Kaiju Coder 7 Hugging Face Upload Evidence
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Generated: `2026-06-03T23:55:00Z`
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## Uploaded Repos
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| Repo | Visibility | Evidence |
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| `RMDWLLC/kaiju-coder-7-adapter` | public | Refreshed public helper/evidence package commit `97fc8fc14064537c1f19f7a5938c7b4c779ae43c`; public visibility verified after 2026-06-03 speed and GGUF-candidate pass. |
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| `RMDWLLC/kaiju-coder-7-opencode` | public | Refreshed OpenCode helper commit `b5dcda3ae5062e3e0782e34db4323f368dd7cbfe`; public visibility, installer dry-run, and exact-file smoke verified. |
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| `RMDWLLC/kaiju-coder-7-quantized-runtime` | public | Current public helper commit `6fded18f858b27aaffa5634e9ea9fadeb83e8488`; includes runtime bitsandbytes recipe plus GGUF Q8_0 candidate note. |
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| `RMDWLLC/kaiju-coder-7` | public | `hf upload-large-folder` completed successfully, then metadata/evidence refreshed at visible SHA `4ca1eb4130511d1128f217261a819cff9ddb7ad8`; public metadata reports `private: false`. |
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These SHAs are a point-in-time release evidence snapshot. Uploading this
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evidence file itself creates another metadata commit, so use `hf models info`
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- The downloaded OpenCode helper installer dry-run passed and included the
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loop guard.
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- Merged model metadata reports `private: false`, SHA
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`4ca1eb4130511d1128f217261a819cff9ddb7ad8`, and lists all `14`
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safetensors shards.
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The earlier private-storage limit blocked private file downloads after the
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