Text Generation
GGUF
qwen3_5
code
coding
coder
qwen
qwen3.5
unsloth
lora
sft
html
css
javascript
threejs
canvas
python
multilingual
conversational
Instructions to use guell00/OBSIDIAN-9B-Coder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use guell00/OBSIDIAN-9B-Coder with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf guell00/OBSIDIAN-9B-Coder:Q4_K_M # Run inference directly in the terminal: llama cli -hf guell00/OBSIDIAN-9B-Coder:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf guell00/OBSIDIAN-9B-Coder:Q4_K_M # Run inference directly in the terminal: llama cli -hf guell00/OBSIDIAN-9B-Coder:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf guell00/OBSIDIAN-9B-Coder:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf guell00/OBSIDIAN-9B-Coder:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf guell00/OBSIDIAN-9B-Coder:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf guell00/OBSIDIAN-9B-Coder:Q4_K_M
Use Docker
docker model run hf.co/guell00/OBSIDIAN-9B-Coder:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use guell00/OBSIDIAN-9B-Coder with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "guell00/OBSIDIAN-9B-Coder" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "guell00/OBSIDIAN-9B-Coder", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/guell00/OBSIDIAN-9B-Coder:Q4_K_M
- Ollama
How to use guell00/OBSIDIAN-9B-Coder with Ollama:
ollama run hf.co/guell00/OBSIDIAN-9B-Coder:Q4_K_M
- Unsloth Studio
How to use guell00/OBSIDIAN-9B-Coder with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for guell00/OBSIDIAN-9B-Coder to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for guell00/OBSIDIAN-9B-Coder to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for guell00/OBSIDIAN-9B-Coder to start chatting
- Pi
How to use guell00/OBSIDIAN-9B-Coder with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf guell00/OBSIDIAN-9B-Coder:Q4_K_M
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "guell00/OBSIDIAN-9B-Coder:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use guell00/OBSIDIAN-9B-Coder with Docker Model Runner:
docker model run hf.co/guell00/OBSIDIAN-9B-Coder:Q4_K_M
- Lemonade
How to use guell00/OBSIDIAN-9B-Coder with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull guell00/OBSIDIAN-9B-Coder:Q4_K_M
Run and chat with the model
lemonade run user.OBSIDIAN-9B-Coder-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use guell00/OBSIDIAN-9B-Coder with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf guell00/OBSIDIAN-9B-Coder:Q4_K_M
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default guell00/OBSIDIAN-9B-Coder:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use guell00/OBSIDIAN-9B-Coder with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf guell00/OBSIDIAN-9B-Coder:Q4_K_M
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "guell00/OBSIDIAN-9B-Coder:Q4_K_M" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Update README.md
Browse files
README.md
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---
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base_model: Jackrong/Qwopus3.5-9B-Coder
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datasets:
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language:
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tags:
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- code
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- coding
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- multilingual
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stroke-width="2"/>
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font-family="-apple-system,BlinkMacSystemFont,'Segoe UI',sans-serif"
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font-weight="900"
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fill="url(#obsidian)"
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OBSIDIAN
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font-weight="800"
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fill="#e2e8f0"
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letter-spacing="6">
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9B CODER
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QWEN CODER • MULTILINGUAL • FRONTEND SPECIALIZED
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fill="#c4b5fd">
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CANVAS
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FORGED FOR COMPLETE CODE GENERATION
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# OBSIDIAN-9B-Coder
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**OBSIDIAN-9B-Coder** is a 9B coding model fine-tuned on the **Coder Max Multilingual** dataset.
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fill="#64748b">LANGUAGES</text>
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fill="#64748b">SFT</text>
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fill="#86efac">GGUF</text>
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## Overview
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OBSIDIAN-9B-Coder was created to specialize a Qwen-based coding model toward **implementation-heavy programming tasks**.
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The model is particularly suited for:
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natural language
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OBSIDIAN-9B-CODER
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generate + construct
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stroke="url(#flow)"
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COMPLETE CODE
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fill="#64748b">
|
| 350 |
-
full implementation
|
| 351 |
-
</text>
|
| 352 |
-
|
| 353 |
-
</g>
|
| 354 |
-
|
| 355 |
-
<text x="600" y="190"
|
| 356 |
-
text-anchor="middle"
|
| 357 |
-
font-family="monospace"
|
| 358 |
-
font-size="11"
|
| 359 |
-
fill="#52525b">
|
| 360 |
-
LESS BOILERPLATE • MORE IMPLEMENTATION • COMPLETE OUTPUTS
|
| 361 |
-
</text>
|
| 362 |
-
</svg>
|
| 363 |
-
|
| 364 |
-
</div>
|
| 365 |
|
| 366 |
---
|
| 367 |
|
|
@@ -373,18 +110,18 @@ The repository contains multiple quantizations so users can select the appropria
|
|
| 373 |
|
| 374 |
## Available Model Files
|
| 375 |
|
| 376 |
-
| File
|
| 377 |
-
|---|---|---|
|
| 378 |
-
| `Qwopus3.5-9B-Coder.Q8_0.gguf`
|
| 379 |
-
| `Qwopus3.5-9B-Coder.Q6_K.gguf`
|
| 380 |
-
| `Qwopus3.5-9B-Coder.Q5_K_M.gguf`
|
| 381 |
-
| `Qwopus3.5-9B-Coder.Q4_K_M.gguf`
|
| 382 |
-
| `Qwopus3.5-9B-Coder.Q3_K_M.gguf`
|
| 383 |
-
| `Qwopus3.5-9B-Coder.BF16-mmproj.gguf` | BF16 mmproj
|
| 384 |
|
| 385 |
---
|
| 386 |
|
| 387 |
-
#
|
| 388 |
|
| 389 |
For compatible text-generation configurations:
|
| 390 |
|
|
@@ -402,67 +139,37 @@ Depending on your environment and the files selected automatically by `llama.cpp
|
|
| 402 |
|
| 403 |
---
|
| 404 |
|
| 405 |
-
#
|
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| 407 |
-
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| 408 |
|
| 409 |
-
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-
<rect width="1200" height="310" rx="20"
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fill="#08080d"
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stroke="#27272a"/>
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| 414 |
-
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-
text-anchor="middle"
|
| 416 |
-
font-family="monospace"
|
| 417 |
-
font-size="16"
|
| 418 |
-
font-weight="700"
|
| 419 |
-
fill="#c4b5fd">
|
| 420 |
-
GGUF QUANTIZATION LADDER
|
| 421 |
-
</text>
|
| 422 |
|
| 423 |
-
|
| 424 |
|
| 425 |
-
|
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<rect x="200" y="75" width="780" height="20" rx="10" fill="#18181b"/>
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<rect x="200" y="75" width="760" height="20" rx="10" fill="#7c3aed"/>
|
| 428 |
-
<text x="1010" y="91" fill="#c4b5fd">QUALITY</text>
|
| 429 |
|
| 430 |
-
|
| 431 |
-
<rect x="200" y="115" width="780" height="20" rx="10" fill="#18181b"/>
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-
<rect x="200" y="115" width="700" height="20" rx="10" fill="#8b5cf6"/>
|
| 433 |
-
<text x="1010" y="131" fill="#c4b5fd">HIGH</text>
|
| 434 |
|
| 435 |
-
|
| 436 |
-
<rect x="200" y="155" width="780" height="20" rx="10" fill="#18181b"/>
|
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-
<rect x="200" y="155" width="640" height="20" rx="10" fill="#c026d3"/>
|
| 438 |
-
<text x="1010" y="171" fill="#f0abfc">BALANCED+</text>
|
| 439 |
|
| 440 |
-
|
| 441 |
-
<rect x="200" y="195" width="780" height="20" rx="10" fill="#18181b"/>
|
| 442 |
-
<rect x="200" y="195" width="570" height="20" rx="10" fill="#2563eb"/>
|
| 443 |
-
<text x="1010" y="211" fill="#93c5fd">BALANCED</text>
|
| 444 |
|
| 445 |
-
|
| 446 |
-
<rect x="200" y="235" width="780" height="20" rx="10" fill="#18181b"/>
|
| 447 |
-
<rect x="200" y="235" width="470" height="20" rx="10" fill="#0891b2"/>
|
| 448 |
-
<text x="1010" y="251" fill="#67e8f9">COMPACT</text>
|
| 449 |
|
| 450 |
-
|
| 451 |
|
| 452 |
-
|
| 453 |
-
|
| 454 |
-
|
| 455 |
-
font-size="11"
|
| 456 |
-
fill="#52525b">
|
| 457 |
-
MORE BITS → MORE MEMORY • FEWER BITS → SMALLER FOOTPRINT
|
| 458 |
-
</text>
|
| 459 |
-
</svg>
|
| 460 |
|
| 461 |
-
|
| 462 |
|
| 463 |
-
|
| 464 |
|
| 465 |
-
|
| 466 |
|
| 467 |
---
|
| 468 |
|
|
@@ -470,43 +177,46 @@ Use **Q8_0** when memory is less constrained and preserving model quality is mor
|
|
| 470 |
|
| 471 |
OBSIDIAN-9B-Coder was fine-tuned using:
|
| 472 |
|
| 473 |
-
**Coder Max Multilingual**
|
|
|
|
|
|
|
|
|
|
| 474 |
`guell00/Coder-max`
|
| 475 |
|
| 476 |
Coder Max is a conversational supervised fine-tuning dataset focused heavily on code generation.
|
| 477 |
|
| 478 |
-
The corpus was designed to contain complete implementations instead of heavily truncated programming answers.
|
| 479 |
|
| 480 |
## Dataset Characteristics
|
| 481 |
|
| 482 |
-
| Characteristic
|
| 483 |
-
|---|---|
|
| 484 |
-
| Format
|
| 485 |
-
| Structure
|
| 486 |
-
| Training type
|
| 487 |
-
| Languages
|
| 488 |
-
| Main content
|
| 489 |
-
| Code density
|
| 490 |
-
| Frontend focus
|
| 491 |
-
| Three.js specialization | Strong
|
| 492 |
-
| Long code outputs
|
| 493 |
|
| 494 |
---
|
| 495 |
|
| 496 |
-
#
|
| 497 |
|
| 498 |
Coder Max is distributed in incremental variants.
|
| 499 |
|
| 500 |
-
| Variant
|
| 501 |
-
|---|---:|---:|---:|---:|
|
| 502 |
-
| `001MB`
|
| 503 |
-
| `010MB`
|
| 504 |
-
| `100MB`
|
| 505 |
-
| `300MB`
|
| 506 |
-
| `500MB`
|
| 507 |
-
| `600MB`
|
| 508 |
-
| `001GB`
|
| 509 |
-
| `total_4GB` | 4,002,669,404 B | 390,302 |
|
| 510 |
|
| 511 |
The larger variants contain the content represented by the smaller variants, allowing different training scales without requiring manual concatenation.
|
| 512 |
|
|
@@ -514,75 +224,27 @@ The larger variants contain the content represented by the smaller variants, all
|
|
| 514 |
|
| 515 |
# Specialization
|
| 516 |
|
| 517 |
-
<div align="center">
|
| 518 |
-
|
| 519 |
-
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 1200 335" width="100%">
|
| 520 |
-
<rect width="1200" height="335" rx="20"
|
| 521 |
-
fill="#08080d"
|
| 522 |
-
stroke="#27272a"/>
|
| 523 |
-
|
| 524 |
-
<text x="600" y="43"
|
| 525 |
-
text-anchor="middle"
|
| 526 |
-
font-family="monospace"
|
| 527 |
-
font-size="16"
|
| 528 |
-
font-weight="700"
|
| 529 |
-
fill="#e2e8f0">
|
| 530 |
-
OBSIDIAN SPECIALIZATION
|
| 531 |
-
</text>
|
| 532 |
-
|
| 533 |
-
<g font-family="monospace" font-size="13">
|
| 534 |
-
|
| 535 |
-
<text x="85" y="95" fill="#94a3b8">Three.js</text>
|
| 536 |
-
<rect x="245" y="78" width="780" height="22" rx="11" fill="#18181b"/>
|
| 537 |
-
<rect x="245" y="78" width="755" height="22" rx="11" fill="#7c3aed"/>
|
| 538 |
-
<text x="1060" y="95" fill="#c4b5fd">CORE</text>
|
| 539 |
-
|
| 540 |
-
<text x="85" y="140" fill="#94a3b8">JavaScript</text>
|
| 541 |
-
<rect x="245" y="123" width="780" height="22" rx="11" fill="#18181b"/>
|
| 542 |
-
<rect x="245" y="123" width="740" height="22" rx="11" fill="#a21caf"/>
|
| 543 |
-
<text x="1060" y="140" fill="#f0abfc">HIGH</text>
|
| 544 |
-
|
| 545 |
-
<text x="85" y="185" fill="#94a3b8">HTML / CSS</text>
|
| 546 |
-
<rect x="245" y="168" width="780" height="22" rx="11" fill="#18181b"/>
|
| 547 |
-
<rect x="245" y="168" width="720" height="22" rx="11" fill="#2563eb"/>
|
| 548 |
-
<text x="1060" y="185" fill="#93c5fd">HIGH</text>
|
| 549 |
-
|
| 550 |
-
<text x="85" y="230" fill="#94a3b8">Canvas</text>
|
| 551 |
-
<rect x="245" y="213" width="780" height="22" rx="11" fill="#18181b"/>
|
| 552 |
-
<rect x="245" y="213" width="680" height="22" rx="11" fill="#0891b2"/>
|
| 553 |
-
<text x="1060" y="230" fill="#67e8f9">HIGH</text>
|
| 554 |
-
|
| 555 |
-
<text x="85" y="275" fill="#94a3b8">Python</text>
|
| 556 |
-
<rect x="245" y="258" width="780" height="22" rx="11" fill="#18181b"/>
|
| 557 |
-
<rect x="245" y="258" width="610" height="22" rx="11" fill="#4f46e5"/>
|
| 558 |
-
<text x="1060" y="275" fill="#a5b4fc">STRONG</text>
|
| 559 |
-
|
| 560 |
-
</g>
|
| 561 |
-
</svg>
|
| 562 |
-
|
| 563 |
-
</div>
|
| 564 |
-
|
| 565 |
## Three.js
|
| 566 |
|
| 567 |
Three.js is one of the primary specialization targets of OBSIDIAN.
|
| 568 |
|
| 569 |
Training examples include patterns involving:
|
| 570 |
|
| 571 |
-
|
| 572 |
-
|
| 573 |
-
|
| 574 |
-
|
| 575 |
-
|
| 576 |
-
|
| 577 |
-
|
| 578 |
-
|
| 579 |
-
|
| 580 |
-
|
| 581 |
-
|
| 582 |
-
|
| 583 |
-
|
| 584 |
-
|
| 585 |
-
The goal is to teach the model to connect all required pieces of a Three.js application rather than merely
|
| 586 |
|
| 587 |
---
|
| 588 |
|
|
@@ -636,103 +298,22 @@ A typical training target may contain an entire application:
|
|
| 636 |
|
| 637 |
# Multilingual Programming
|
| 638 |
|
| 639 |
-
|
| 640 |
-
|
| 641 |
-
|
| 642 |
-
|
| 643 |
-
fill="#09090e"
|
| 644 |
-
stroke="#27272a"/>
|
| 645 |
-
|
| 646 |
-
<text x="600" y="38"
|
| 647 |
-
text-anchor="middle"
|
| 648 |
-
font-family="monospace"
|
| 649 |
-
font-size="15"
|
| 650 |
-
font-weight="700"
|
| 651 |
-
fill="#a78bfa">
|
| 652 |
-
MULTILINGUAL CODE INSTRUCTIONS
|
| 653 |
-
</text>
|
| 654 |
-
|
| 655 |
-
<g font-family="monospace"
|
| 656 |
-
font-size="14"
|
| 657 |
-
text-anchor="middle">
|
| 658 |
-
|
| 659 |
-
<g transform="translate(55,70)">
|
| 660 |
-
<rect width="100" height="42" rx="10" fill="#18121f" stroke="#7c3aed"/>
|
| 661 |
-
<text x="50" y="26" fill="#ddd6fe">PT</text>
|
| 662 |
-
</g>
|
| 663 |
-
|
| 664 |
-
<g transform="translate(165,70)">
|
| 665 |
-
<rect width="100" height="42" rx="10" fill="#18121f" stroke="#8b5cf6"/>
|
| 666 |
-
<text x="50" y="26" fill="#ddd6fe">EN</text>
|
| 667 |
-
</g>
|
| 668 |
-
|
| 669 |
-
<g transform="translate(275,70)">
|
| 670 |
-
<rect width="100" height="42" rx="10" fill="#18121f" stroke="#a855f7"/>
|
| 671 |
-
<text x="50" y="26" fill="#e9d5ff">ES</text>
|
| 672 |
-
</g>
|
| 673 |
-
|
| 674 |
-
<g transform="translate(385,70)">
|
| 675 |
-
<rect width="100" height="42" rx="10" fill="#19111e" stroke="#c026d3"/>
|
| 676 |
-
<text x="50" y="26" fill="#f5d0fe">FR</text>
|
| 677 |
-
</g>
|
| 678 |
-
|
| 679 |
-
<g transform="translate(495,70)">
|
| 680 |
-
<rect width="100" height="42" rx="10" fill="#19111e" stroke="#db2777"/>
|
| 681 |
-
<text x="50" y="26" fill="#fbcfe8">DE</text>
|
| 682 |
-
</g>
|
| 683 |
-
|
| 684 |
-
<g transform="translate(605,70)">
|
| 685 |
-
<rect width="100" height="42" rx="10" fill="#10131f" stroke="#2563eb"/>
|
| 686 |
-
<text x="50" y="26" fill="#bfdbfe">IT</text>
|
| 687 |
-
</g>
|
| 688 |
-
|
| 689 |
-
<g transform="translate(715,70)">
|
| 690 |
-
<rect width="100" height="42" rx="10" fill="#0c151c" stroke="#0284c7"/>
|
| 691 |
-
<text x="50" y="26" fill="#bae6fd">JA</text>
|
| 692 |
-
</g>
|
| 693 |
-
|
| 694 |
-
<g transform="translate(825,70)">
|
| 695 |
-
<rect width="100" height="42" rx="10" fill="#0c1519" stroke="#0891b2"/>
|
| 696 |
-
<text x="50" y="26" fill="#a5f3fc">ZH</text>
|
| 697 |
-
</g>
|
| 698 |
-
|
| 699 |
-
<g transform="translate(935,70)">
|
| 700 |
-
<rect width="100" height="42" rx="10" fill="#0c1718" stroke="#0d9488"/>
|
| 701 |
-
<text x="50" y="26" fill="#99f6e4">RU</text>
|
| 702 |
-
</g>
|
| 703 |
-
|
| 704 |
-
<g transform="translate(1045,70)">
|
| 705 |
-
<rect width="100" height="42" rx="10" fill="#0c1715" stroke="#10b981"/>
|
| 706 |
-
<text x="50" y="26" fill="#a7f3d0">TR</text>
|
| 707 |
-
</g>
|
| 708 |
-
|
| 709 |
-
</g>
|
| 710 |
-
|
| 711 |
-
<text x="600" y="148"
|
| 712 |
-
text-anchor="middle"
|
| 713 |
-
font-family="monospace"
|
| 714 |
-
font-size="11"
|
| 715 |
-
fill="#52525b">
|
| 716 |
-
10-LANGUAGE PROMPT MATRIX
|
| 717 |
-
</text>
|
| 718 |
-
</svg>
|
| 719 |
-
|
| 720 |
-
</div>
|
| 721 |
-
|
| 722 |
-
The training corpus contains programming instructions across:
|
| 723 |
-
|
| 724 |
-
| Language | Code |
|
| 725 |
-
|---|---|
|
| 726 |
| Português | `pt` |
|
| 727 |
-
| English
|
| 728 |
-
| Español
|
| 729 |
-
| Français
|
| 730 |
-
| Deutsch
|
| 731 |
-
| Italiano
|
| 732 |
-
| 日本語
|
| 733 |
-
| 简体中文
|
| 734 |
-
| Русский
|
| 735 |
-
| Türkçe
|
|
|
|
|
|
|
| 736 |
|
| 737 |
---
|
| 738 |
|
|
@@ -771,9 +352,29 @@ down_proj
|
|
| 771 |
|
| 772 |
---
|
| 773 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 774 |
# Example Prompts
|
| 775 |
|
| 776 |
-
##
|
| 777 |
|
| 778 |
```text
|
| 779 |
Create a complete Three.js game inside a single HTML file.
|
|
@@ -791,7 +392,7 @@ Include:
|
|
| 791 |
Return the complete HTML file.
|
| 792 |
```
|
| 793 |
|
| 794 |
-
##
|
| 795 |
|
| 796 |
```text
|
| 797 |
Crie uma aplicação web completa usando HTML, CSS e JavaScript.
|
|
@@ -802,7 +403,7 @@ estado interno e interação com o usuário.
|
|
| 802 |
Retorne o arquivo HTML completo.
|
| 803 |
```
|
| 804 |
|
| 805 |
-
##
|
| 806 |
|
| 807 |
```text
|
| 808 |
Build a complete interactive particle simulation using the
|
|
@@ -812,6 +413,14 @@ Include mouse interaction, animation, responsive resizing
|
|
| 812 |
and performance-conscious rendering.
|
| 813 |
```
|
| 814 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 815 |
---
|
| 816 |
|
| 817 |
# Recommended Generation
|
|
@@ -832,27 +441,26 @@ temperature: 0.5 - 0.7
|
|
| 832 |
top_p: 0.9 - 0.95
|
| 833 |
```
|
| 834 |
|
| 835 |
-
These values are starting points rather than guarantees.
|
| 836 |
-
|
| 837 |
-
---
|
| 838 |
|
| 839 |
-
|
| 840 |
|
| 841 |
-
|
| 842 |
|
| 843 |
-
|
| 844 |
|
| 845 |
-
-
|
| 846 |
-
- security vulnerabilities;
|
| 847 |
-
- hallucinated APIs;
|
| 848 |
-
- outdated library usage;
|
| 849 |
-
- incomplete edge-case handling;
|
| 850 |
-
- incorrect assumptions;
|
| 851 |
-
- dependency incompatibilities.
|
| 852 |
|
| 853 |
-
|
| 854 |
-
|
| 855 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 856 |
|
| 857 |
---
|
| 858 |
|
|
@@ -860,85 +468,55 @@ The model's context capacity also does not guarantee perfect reasoning or perfec
|
|
| 860 |
|
| 861 |
For coding models such as OBSIDIAN, executable evaluation is strongly recommended.
|
| 862 |
|
| 863 |
-
|
| 864 |
-
|
| 865 |
-
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 1200 210" width="100%">
|
| 866 |
-
<rect width="1200" height="210" rx="18"
|
| 867 |
-
fill="#08080c"
|
| 868 |
-
stroke="#27272a"/>
|
| 869 |
-
|
| 870 |
-
<text x="600" y="38"
|
| 871 |
-
text-anchor="middle"
|
| 872 |
-
font-family="monospace"
|
| 873 |
-
font-size="15"
|
| 874 |
-
font-weight="700"
|
| 875 |
-
fill="#c4b5fd">
|
| 876 |
-
CODE EVALUATION PIPELINE
|
| 877 |
-
</text>
|
| 878 |
-
|
| 879 |
-
<g font-family="monospace"
|
| 880 |
-
font-size="12"
|
| 881 |
-
text-anchor="middle">
|
| 882 |
-
|
| 883 |
-
<rect x="50" y="85" width="170" height="55" rx="12"
|
| 884 |
-
fill="#130d1c"
|
| 885 |
-
stroke="#7c3aed"/>
|
| 886 |
-
<text x="135" y="118" fill="#ddd6fe">GENERATE</text>
|
| 887 |
-
|
| 888 |
-
<text x="250" y="118" fill="#7c3aed">→</text>
|
| 889 |
-
|
| 890 |
-
<rect x="280" y="85" width="170" height="55" rx="12"
|
| 891 |
-
fill="#160d18"
|
| 892 |
-
stroke="#c026d3"/>
|
| 893 |
-
<text x="365" y="118" fill="#f5d0fe">PARSE</text>
|
| 894 |
|
| 895 |
-
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| 896 |
|
| 897 |
-
|
| 898 |
-
fill="#10121b"
|
| 899 |
-
stroke="#2563eb"/>
|
| 900 |
-
<text x="595" y="118" fill="#bfdbfe">EXECUTE</text>
|
| 901 |
|
| 902 |
-
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| 903 |
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| 904 |
-
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| 905 |
-
fill="#08151a"
|
| 906 |
-
stroke="#0891b2"/>
|
| 907 |
-
<text x="825" y="118" fill="#a5f3fc">INSPECT</text>
|
| 908 |
|
| 909 |
-
|
| 910 |
|
| 911 |
-
|
| 912 |
-
fill="#091712"
|
| 913 |
-
stroke="#10b981"/>
|
| 914 |
-
<text x="1060" y="118" fill="#a7f3d0">TEST</text>
|
| 915 |
|
| 916 |
-
|
| 917 |
|
| 918 |
-
|
| 919 |
-
text-anchor="middle"
|
| 920 |
-
font-family="monospace"
|
| 921 |
-
font-size="11"
|
| 922 |
-
fill="#52525b">
|
| 923 |
-
EXECUTION MATTERS MORE THAN TEXT SIMILARITY
|
| 924 |
-
</text>
|
| 925 |
-
</svg>
|
| 926 |
|
| 927 |
-
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|
|
| 928 |
|
| 929 |
-
|
| 930 |
|
| 931 |
-
|
| 932 |
-
- CSS validity
|
| 933 |
-
- JavaScript syntax
|
| 934 |
-
- Three.js initialization
|
| 935 |
-
- Rendering-loop correctness
|
| 936 |
-
- DOM interaction
|
| 937 |
-
- Canvas rendering
|
| 938 |
-
- Python syntax
|
| 939 |
-
- Algorithmic correctness
|
| 940 |
-
- Long-response completion
|
| 941 |
-
- Multilingual instruction following
|
| 942 |
|
| 943 |
---
|
| 944 |
|
|
@@ -948,14 +526,12 @@ Coder Max includes metadata intended to support corpus integrity and provenance
|
|
| 948 |
|
| 949 |
Dataset preparation includes:
|
| 950 |
|
| 951 |
-
|
| 952 |
-
|
| 953 |
-
|
| 954 |
-
|
| 955 |
-
|
| 956 |
-
|
| 957 |
-
|
| 958 |
-
Some repetitions in the dataset may be intentional and used to reinforce selected programming patterns and technologies.
|
| 959 |
|
| 960 |
---
|
| 961 |
|
|
@@ -971,69 +547,47 @@ Users redistributing or deploying the model should review the licensing and usag
|
|
| 971 |
|
| 972 |
---
|
| 973 |
|
| 974 |
-
|
| 975 |
|
| 976 |
-
|
| 977 |
-
<defs>
|
| 978 |
-
<radialGradient id="finalGlow">
|
| 979 |
-
<stop offset="0%" stop-color="#8b5cf6" stop-opacity="0.45"/>
|
| 980 |
-
<stop offset="100%" stop-color="#8b5cf6" stop-opacity="0"/>
|
| 981 |
-
</radialGradient>
|
| 982 |
|
| 983 |
-
|
| 984 |
-
<stop offset="0%" stop-color="#c4b5fd"/>
|
| 985 |
-
<stop offset="50%" stop-color="#8b5cf6"/>
|
| 986 |
-
<stop offset="100%" stop-color="#22d3ee"/>
|
| 987 |
-
</linearGradient>
|
| 988 |
-
</defs>
|
| 989 |
|
| 990 |
-
|
| 991 |
-
fill="#060609"/>
|
| 992 |
|
| 993 |
-
|
| 994 |
-
r="130"
|
| 995 |
-
fill="url(#finalGlow)"/>
|
| 996 |
|
| 997 |
-
|
| 998 |
-
fill="#0d0913"
|
| 999 |
-
stroke="url(#finalBlade)"
|
| 1000 |
-
stroke-width="3"/>
|
| 1001 |
|
| 1002 |
-
|
| 1003 |
-
fill="#151020"
|
| 1004 |
-
stroke="#22d3ee"
|
| 1005 |
-
stroke-opacity="0.6"/>
|
| 1006 |
|
| 1007 |
-
|
| 1008 |
-
fill="url(#finalBlade)"/>
|
| 1009 |
|
| 1010 |
-
|
| 1011 |
-
text-anchor="middle"
|
| 1012 |
-
font-family="monospace"
|
| 1013 |
-
font-size="13"
|
| 1014 |
-
font-weight="700"
|
| 1015 |
-
fill="#64748b">
|
| 1016 |
-
OBSIDIAN // FORGED FOR CODE
|
| 1017 |
-
</text>
|
| 1018 |
-
</svg>
|
| 1019 |
|
| 1020 |
-
|
| 1021 |
|
| 1022 |
-
|
| 1023 |
|
| 1024 |
-
|
| 1025 |
|
| 1026 |
-
**
|
| 1027 |
-
**Dataset:** Coder Max Multilingual
|
| 1028 |
|
| 1029 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
| 1030 |
|
| 1031 |
-
|
| 1032 |
|
| 1033 |
## OBSIDIAN-9B-Coder
|
| 1034 |
|
| 1035 |
**Complete Code • Long Context • Interactive Software**
|
| 1036 |
|
| 1037 |
`Three.js` • `JavaScript` • `HTML` • `CSS` • `Canvas` • `Python` • `Multilingual`
|
| 1038 |
-
|
| 1039 |
-
</div>
|
|
|
|
| 1 |
---
|
|
|
|
|
|
|
|
|
|
| 2 |
language:
|
| 3 |
- pt
|
| 4 |
- en
|
|
|
|
| 14 |
tags:
|
| 15 |
- code
|
| 16 |
- coding
|
|
|
|
|
|
|
|
|
|
| 17 |
- gguf
|
| 18 |
- unsloth
|
| 19 |
- lora
|
|
|
|
| 20 |
- html
|
|
|
|
| 21 |
- javascript
|
| 22 |
- threejs
|
|
|
|
| 23 |
- python
|
| 24 |
- multilingual
|
| 25 |
---
|
| 26 |
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|
|
| 27 |
# OBSIDIAN-9B-Coder
|
| 28 |
|
| 29 |
**OBSIDIAN-9B-Coder** is a 9B coding model fine-tuned on the **Coder Max Multilingual** dataset.
|
|
|
|
| 34 |
|
| 35 |
---
|
| 36 |
|
| 37 |
+
## Highlights
|
| 38 |
+
|
| 39 |
+
* **9B parameter-class coding model**
|
| 40 |
+
* **32K training context**
|
| 41 |
+
* **Multilingual coding support**
|
| 42 |
+
* **Three.js specialization**
|
| 43 |
+
* **Complete HTML/CSS/JavaScript applications**
|
| 44 |
+
* **Canvas and browser graphics**
|
| 45 |
+
* **Python and algorithmic code**
|
| 46 |
+
* **LoRA supervised fine-tuning**
|
| 47 |
+
* **GGUF quantizations available**
|
| 48 |
+
* **Fine-tuned with Unsloth**
|
| 49 |
+
|
| 50 |
+
---
|
| 51 |
+
|
| 52 |
+
# Overview
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
| 53 |
|
| 54 |
OBSIDIAN-9B-Coder was created to specialize a Qwen-based coding model toward **implementation-heavy programming tasks**.
|
| 55 |
|
|
|
|
| 57 |
|
| 58 |
The model is particularly suited for:
|
| 59 |
|
| 60 |
+
* Complete single-file web applications
|
| 61 |
+
* HTML5 and modern CSS
|
| 62 |
+
* JavaScript ES6+
|
| 63 |
+
* Three.js
|
| 64 |
+
* HTML5 Canvas
|
| 65 |
+
* Interactive browser applications
|
| 66 |
+
* Games and graphical experiments
|
| 67 |
+
* DOM manipulation
|
| 68 |
+
* Animation loops
|
| 69 |
+
* State management
|
| 70 |
+
* Python
|
| 71 |
+
* Algorithmic programming
|
| 72 |
+
* Multilingual programming instructions
|
| 73 |
|
| 74 |
---
|
| 75 |
|
| 76 |
+
# Core Philosophy
|
| 77 |
+
|
| 78 |
+
```text
|
| 79 |
+
USER REQUEST
|
| 80 |
+
↓
|
| 81 |
+
OBSIDIAN-9B-Coder
|
| 82 |
+
↓
|
| 83 |
+
COMPLETE IMPLEMENTATION
|
| 84 |
+
↓
|
| 85 |
+
HTML / CSS / JavaScript / Three.js / Python
|
| 86 |
+
```
|
| 87 |
+
|
| 88 |
+
The goal is simple:
|
| 89 |
+
|
| 90 |
+
> **Less explanation. More implementation. Complete outputs.**
|
| 91 |
+
|
| 92 |
+
OBSIDIAN is fine-tuned to preserve long application structure, including:
|
| 93 |
+
|
| 94 |
+
* document layout;
|
| 95 |
+
* event handlers;
|
| 96 |
+
* state;
|
| 97 |
+
* rendering loops;
|
| 98 |
+
* interaction logic;
|
| 99 |
+
* animation;
|
| 100 |
+
* closing tags;
|
| 101 |
+
* frontend lifecycle.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 102 |
|
| 103 |
---
|
| 104 |
|
|
|
|
| 110 |
|
| 111 |
## Available Model Files
|
| 112 |
|
| 113 |
+
| File | Quantization | Notes |
|
| 114 |
+
| ------------------------------------- | ------------ | --------------------------------- |
|
| 115 |
+
| `Qwopus3.5-9B-Coder.Q8_0.gguf` | Q8_0 | Highest-quality quantized version |
|
| 116 |
+
| `Qwopus3.5-9B-Coder.Q6_K.gguf` | Q6_K | High quality with reduced size |
|
| 117 |
+
| `Qwopus3.5-9B-Coder.Q5_K_M.gguf` | Q5_K_M | Strong quality/size balance |
|
| 118 |
+
| `Qwopus3.5-9B-Coder.Q4_K_M.gguf` | Q4_K_M | Recommended balance for local use |
|
| 119 |
+
| `Qwopus3.5-9B-Coder.Q3_K_M.gguf` | Q3_K_M | Lower memory requirement |
|
| 120 |
+
| `Qwopus3.5-9B-Coder.BF16-mmproj.gguf` | BF16 mmproj | Multimodal projector artifact |
|
| 121 |
|
| 122 |
---
|
| 123 |
|
| 124 |
+
# llama.cpp
|
| 125 |
|
| 126 |
For compatible text-generation configurations:
|
| 127 |
|
|
|
|
| 139 |
|
| 140 |
---
|
| 141 |
|
| 142 |
+
# Quantization Guide
|
| 143 |
|
| 144 |
+
## Q8_0
|
| 145 |
|
| 146 |
+
Best option when memory usage is less important and you want to preserve as much quality as practical in GGUF form.
|
|
|
|
|
|
|
|
|
|
| 147 |
|
| 148 |
+
## Q6_K
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 149 |
|
| 150 |
+
High-quality quantization with lower memory requirements than Q8.
|
| 151 |
|
| 152 |
+
## Q5_K_M
|
|
|
|
|
|
|
|
|
|
| 153 |
|
| 154 |
+
A strong balance between quality and size.
|
|
|
|
|
|
|
|
|
|
| 155 |
|
| 156 |
+
Good choice for machines with moderate RAM/VRAM.
|
|
|
|
|
|
|
|
|
|
| 157 |
|
| 158 |
+
## Q4_K_M
|
|
|
|
|
|
|
|
|
|
| 159 |
|
| 160 |
+
Recommended general-purpose quantization.
|
|
|
|
|
|
|
|
|
|
| 161 |
|
| 162 |
+
It usually offers a useful balance between:
|
| 163 |
|
| 164 |
+
* memory usage;
|
| 165 |
+
* inference speed;
|
| 166 |
+
* output quality.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 167 |
|
| 168 |
+
## Q3_K_M
|
| 169 |
|
| 170 |
+
Smaller memory footprint.
|
| 171 |
|
| 172 |
+
Useful when hardware is constrained, at the cost of some model fidelity.
|
| 173 |
|
| 174 |
---
|
| 175 |
|
|
|
|
| 177 |
|
| 178 |
OBSIDIAN-9B-Coder was fine-tuned using:
|
| 179 |
|
| 180 |
+
**Coder Max Multilingual**
|
| 181 |
+
|
| 182 |
+
Repository:
|
| 183 |
+
|
| 184 |
`guell00/Coder-max`
|
| 185 |
|
| 186 |
Coder Max is a conversational supervised fine-tuning dataset focused heavily on code generation.
|
| 187 |
|
| 188 |
+
The corpus was designed to contain **complete implementations instead of heavily truncated programming answers**.
|
| 189 |
|
| 190 |
## Dataset Characteristics
|
| 191 |
|
| 192 |
+
| Characteristic | Description |
|
| 193 |
+
| ----------------------- | ----------------------- |
|
| 194 |
+
| Format | JSONL |
|
| 195 |
+
| Structure | Conversational messages |
|
| 196 |
+
| Training type | Supervised Fine-Tuning |
|
| 197 |
+
| Languages | 10 |
|
| 198 |
+
| Main content | Programming |
|
| 199 |
+
| Code density | ~95%+ |
|
| 200 |
+
| Frontend focus | Strong |
|
| 201 |
+
| Three.js specialization | Strong |
|
| 202 |
+
| Long code outputs | Preserved |
|
| 203 |
|
| 204 |
---
|
| 205 |
|
| 206 |
+
# Dataset Scale
|
| 207 |
|
| 208 |
Coder Max is distributed in incremental variants.
|
| 209 |
|
| 210 |
+
| Variant | Physical Size | Records | Messages | Code Density |
|
| 211 |
+
| ----------- | --------------: | ------: | -------: | -----------: |
|
| 212 |
+
| `001MB` | 3,739,874 B | 109 | 220 | 99.08% |
|
| 213 |
+
| `010MB` | 12,709,008 B | 969 | 2,012 | 96.18% |
|
| 214 |
+
| `100MB` | 102,679,666 B | 9,790 | 20,396 | 95.84% |
|
| 215 |
+
| `300MB` | 302,689,973 B | 29,233 | 60,916 | 95.83% |
|
| 216 |
+
| `500MB` | 502,678,782 B | 48,676 | 101,442 | 95.82% |
|
| 217 |
+
| `600MB` | 602,666,385 B | 58,466 | 121,848 | 95.82% |
|
| 218 |
+
| `001GB` | 1,002,677,454 B | 97,499 | 203,200 | 95.82% |
|
| 219 |
+
| `total_4GB` | 4,002,669,404 B | 390,302 | 813,452 | 95.81% |
|
| 220 |
|
| 221 |
The larger variants contain the content represented by the smaller variants, allowing different training scales without requiring manual concatenation.
|
| 222 |
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|
| 224 |
|
| 225 |
# Specialization
|
| 226 |
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|
| 227 |
## Three.js
|
| 228 |
|
| 229 |
Three.js is one of the primary specialization targets of OBSIDIAN.
|
| 230 |
|
| 231 |
Training examples include patterns involving:
|
| 232 |
|
| 233 |
+
* scene creation;
|
| 234 |
+
* perspective cameras;
|
| 235 |
+
* lighting;
|
| 236 |
+
* meshes;
|
| 237 |
+
* materials;
|
| 238 |
+
* geometry;
|
| 239 |
+
* animation loops;
|
| 240 |
+
* browser interaction;
|
| 241 |
+
* keyboard input;
|
| 242 |
+
* game mechanics;
|
| 243 |
+
* 3D environments;
|
| 244 |
+
* interactive simulations;
|
| 245 |
+
* single-file applications.
|
| 246 |
+
|
| 247 |
+
The goal is to teach the model to connect all required pieces of a Three.js application rather than merely output isolated API examples.
|
| 248 |
|
| 249 |
---
|
| 250 |
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|
| 298 |
|
| 299 |
# Multilingual Programming
|
| 300 |
|
| 301 |
+
The training corpus contains programming instructions across 10 languages.
|
| 302 |
+
|
| 303 |
+
| Language | Code |
|
| 304 |
+
| --------- | ---- |
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|
| 305 |
| Português | `pt` |
|
| 306 |
+
| English | `en` |
|
| 307 |
+
| Español | `es` |
|
| 308 |
+
| Français | `fr` |
|
| 309 |
+
| Deutsch | `de` |
|
| 310 |
+
| Italiano | `it` |
|
| 311 |
+
| 日本語 | `ja` |
|
| 312 |
+
| 简体中文 | `zh` |
|
| 313 |
+
| Русский | `ru` |
|
| 314 |
+
| Türkçe | `tr` |
|
| 315 |
+
|
| 316 |
+
The objective is to make programming capability less dependent on the language used in the instruction.
|
| 317 |
|
| 318 |
---
|
| 319 |
|
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|
|
| 352 |
|
| 353 |
---
|
| 354 |
|
| 355 |
+
# Training Strategy
|
| 356 |
+
|
| 357 |
+
The model was trained with a code-heavy SFT corpus designed around long-form completions.
|
| 358 |
+
|
| 359 |
+
Important characteristics include:
|
| 360 |
+
|
| 361 |
+
* long HTML responses;
|
| 362 |
+
* complete application generation;
|
| 363 |
+
* repeated high-value specialization examples;
|
| 364 |
+
* multilingual prompt variants;
|
| 365 |
+
* frontend-oriented training;
|
| 366 |
+
* Three.js and Canvas exposure;
|
| 367 |
+
* assistant-response-only loss.
|
| 368 |
+
|
| 369 |
+
Intentional repetitions may exist in the source dataset as part of the specialization strategy.
|
| 370 |
+
|
| 371 |
+
These repetitions are used to reinforce selected programming behaviors rather than representing accidental duplicate ingestion.
|
| 372 |
+
|
| 373 |
+
---
|
| 374 |
+
|
| 375 |
# Example Prompts
|
| 376 |
|
| 377 |
+
## Three.js
|
| 378 |
|
| 379 |
```text
|
| 380 |
Create a complete Three.js game inside a single HTML file.
|
|
|
|
| 392 |
Return the complete HTML file.
|
| 393 |
```
|
| 394 |
|
| 395 |
+
## Portuguese
|
| 396 |
|
| 397 |
```text
|
| 398 |
Crie uma aplicação web completa usando HTML, CSS e JavaScript.
|
|
|
|
| 403 |
Retorne o arquivo HTML completo.
|
| 404 |
```
|
| 405 |
|
| 406 |
+
## Canvas
|
| 407 |
|
| 408 |
```text
|
| 409 |
Build a complete interactive particle simulation using the
|
|
|
|
| 413 |
and performance-conscious rendering.
|
| 414 |
```
|
| 415 |
|
| 416 |
+
## Python
|
| 417 |
+
|
| 418 |
+
```text
|
| 419 |
+
Implement a complete Python solution for the following problem.
|
| 420 |
+
|
| 421 |
+
Explain the algorithm briefly and return working code.
|
| 422 |
+
```
|
| 423 |
+
|
| 424 |
---
|
| 425 |
|
| 426 |
# Recommended Generation
|
|
|
|
| 441 |
top_p: 0.9 - 0.95
|
| 442 |
```
|
| 443 |
|
| 444 |
+
These values are starting points rather than guarantees.
|
|
|
|
|
|
|
| 445 |
|
| 446 |
+
Generation settings should be benchmarked for the target workload.
|
| 447 |
|
| 448 |
+
---
|
| 449 |
|
| 450 |
+
# Intended Use
|
| 451 |
|
| 452 |
+
OBSIDIAN-9B-Coder is intended for:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 453 |
|
| 454 |
+
* coding assistants;
|
| 455 |
+
* frontend code generation;
|
| 456 |
+
* HTML/CSS/JavaScript generation;
|
| 457 |
+
* Three.js generation;
|
| 458 |
+
* Canvas applications;
|
| 459 |
+
* Python programming;
|
| 460 |
+
* programming experiments;
|
| 461 |
+
* multilingual coding assistants;
|
| 462 |
+
* local coding models;
|
| 463 |
+
* research into code-specialized fine-tuning.
|
| 464 |
|
| 465 |
---
|
| 466 |
|
|
|
|
| 468 |
|
| 469 |
For coding models such as OBSIDIAN, executable evaluation is strongly recommended.
|
| 470 |
|
| 471 |
+
Useful evaluation categories include:
|
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|
| 472 |
|
| 473 |
+
* HTML completeness;
|
| 474 |
+
* CSS validity;
|
| 475 |
+
* JavaScript syntax;
|
| 476 |
+
* Three.js initialization;
|
| 477 |
+
* rendering-loop correctness;
|
| 478 |
+
* DOM interaction;
|
| 479 |
+
* Canvas rendering;
|
| 480 |
+
* Python syntax;
|
| 481 |
+
* algorithmic correctness;
|
| 482 |
+
* long-response completion;
|
| 483 |
+
* multilingual instruction following.
|
| 484 |
|
| 485 |
+
A useful evaluation pipeline is:
|
|
|
|
|
|
|
|
|
|
| 486 |
|
| 487 |
+
```text
|
| 488 |
+
GENERATE
|
| 489 |
+
↓
|
| 490 |
+
PARSE
|
| 491 |
+
↓
|
| 492 |
+
EXECUTE
|
| 493 |
+
↓
|
| 494 |
+
INSPECT
|
| 495 |
+
↓
|
| 496 |
+
TEST
|
| 497 |
+
```
|
| 498 |
|
| 499 |
+
Execution matters more than text similarity when evaluating generated software.
|
|
|
|
|
|
|
|
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|
| 500 |
|
| 501 |
+
---
|
| 502 |
|
| 503 |
+
# Limitations
|
|
|
|
|
|
|
|
|
|
| 504 |
|
| 505 |
+
OBSIDIAN-9B-Coder is a generative model.
|
| 506 |
|
| 507 |
+
Generated code can contain:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 508 |
|
| 509 |
+
* logical errors;
|
| 510 |
+
* security vulnerabilities;
|
| 511 |
+
* hallucinated APIs;
|
| 512 |
+
* outdated library usage;
|
| 513 |
+
* incomplete edge-case handling;
|
| 514 |
+
* incorrect assumptions;
|
| 515 |
+
* dependency incompatibilities.
|
| 516 |
|
| 517 |
+
Generated applications should be inspected and tested before production deployment.
|
| 518 |
|
| 519 |
+
The model's context capacity also does not guarantee perfect reasoning or perfect retention across every token in a long context.
|
|
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|
| 520 |
|
| 521 |
---
|
| 522 |
|
|
|
|
| 526 |
|
| 527 |
Dataset preparation includes:
|
| 528 |
|
| 529 |
+
* syntax-oriented filtering;
|
| 530 |
+
* preservation of complete code;
|
| 531 |
+
* credential and runtime artifact sanitization;
|
| 532 |
+
* SHA-256 provenance metadata;
|
| 533 |
+
* multilingual prompt labeling;
|
| 534 |
+
* frontend classification metadata.
|
|
|
|
|
|
|
| 535 |
|
| 536 |
---
|
| 537 |
|
|
|
|
| 547 |
|
| 548 |
---
|
| 549 |
|
| 550 |
+
# Model Identity
|
| 551 |
|
| 552 |
+
**Model:** OBSIDIAN-9B-Coder
|
|
|
|
|
|
|
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|
|
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|
| 553 |
|
| 554 |
+
**Dataset:** Coder Max Multilingual
|
|
|
|
|
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|
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|
|
|
|
|
|
|
| 555 |
|
| 556 |
+
**Author:** guell00
|
|
|
|
| 557 |
|
| 558 |
+
**Training framework:** Unsloth
|
|
|
|
|
|
|
| 559 |
|
| 560 |
+
**Format:** GGUF
|
|
|
|
|
|
|
|
|
|
| 561 |
|
| 562 |
+
**Specialization:**
|
|
|
|
|
|
|
|
|
|
| 563 |
|
| 564 |
+
`Three.js` • `JavaScript` • `HTML` • `CSS` • `Canvas` • `Python` • `Multilingual`
|
|
|
|
| 565 |
|
| 566 |
+
---
|
|
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|
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|
|
|
|
|
|
| 567 |
|
| 568 |
+
# Summary
|
| 569 |
|
| 570 |
+
OBSIDIAN-9B-Coder is a 9B coding model specialized through supervised fine-tuning on a highly code-dense multilingual dataset.
|
| 571 |
|
| 572 |
+
Its main focus is:
|
| 573 |
|
| 574 |
+
> **Generating complete software instead of fragmented examples.**
|
|
|
|
| 575 |
|
| 576 |
+
Primary strengths include:
|
| 577 |
+
|
| 578 |
+
* frontend code generation;
|
| 579 |
+
* Three.js;
|
| 580 |
+
* JavaScript;
|
| 581 |
+
* complete HTML applications;
|
| 582 |
+
* Canvas;
|
| 583 |
+
* Python;
|
| 584 |
+
* multilingual programming instructions;
|
| 585 |
+
* long code outputs.
|
| 586 |
|
| 587 |
+
---
|
| 588 |
|
| 589 |
## OBSIDIAN-9B-Coder
|
| 590 |
|
| 591 |
**Complete Code • Long Context • Interactive Software**
|
| 592 |
|
| 593 |
`Three.js` • `JavaScript` • `HTML` • `CSS` • `Canvas` • `Python` • `Multilingual`
|
|
|
|
|
|