Text Generation
GGUF
English
Māori
llama.cpp
abteex-ai-labs
aotearoa
chat
local-first
lumynax
multilingual
new-zealand
sovereign-ai
yi
vllm
vllm-compatible
vllm-experimental
nvidia-nim
nim-compatible
nim-candidate
nvidia-nemo
nem
nvidia-nemo-pathway
nem-pathway
nem-convert-required
legacy
outdated
imatrix
conversational
Instructions to use AbteeXAILab/lumynax-chat-yi-15-34b-gguf 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 AbteeXAILab/lumynax-chat-yi-15-34b-gguf 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 AbteeXAILab/lumynax-chat-yi-15-34b-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf AbteeXAILab/lumynax-chat-yi-15-34b-gguf:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf AbteeXAILab/lumynax-chat-yi-15-34b-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf AbteeXAILab/lumynax-chat-yi-15-34b-gguf: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 AbteeXAILab/lumynax-chat-yi-15-34b-gguf:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf AbteeXAILab/lumynax-chat-yi-15-34b-gguf: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 AbteeXAILab/lumynax-chat-yi-15-34b-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf AbteeXAILab/lumynax-chat-yi-15-34b-gguf:Q4_K_M
Use Docker
docker model run hf.co/AbteeXAILab/lumynax-chat-yi-15-34b-gguf:Q4_K_M
- LM Studio
- Jan
- vLLM
How to use AbteeXAILab/lumynax-chat-yi-15-34b-gguf with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "AbteeXAILab/lumynax-chat-yi-15-34b-gguf" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "AbteeXAILab/lumynax-chat-yi-15-34b-gguf", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/AbteeXAILab/lumynax-chat-yi-15-34b-gguf:Q4_K_M
- Ollama
How to use AbteeXAILab/lumynax-chat-yi-15-34b-gguf with Ollama:
ollama run hf.co/AbteeXAILab/lumynax-chat-yi-15-34b-gguf:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use AbteeXAILab/lumynax-chat-yi-15-34b-gguf with Docker Model Runner:
docker model run hf.co/AbteeXAILab/lumynax-chat-yi-15-34b-gguf:Q4_K_M
- Lemonade
How to use AbteeXAILab/lumynax-chat-yi-15-34b-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull AbteeXAILab/lumynax-chat-yi-15-34b-gguf:Q4_K_M
Run and chat with the model
lemonade run user.lumynax-chat-yi-15-34b-gguf-Q4_K_M
List all available models
lemonade list
- Atomic Chat
chore: standardise legacy release metadata
Browse filesAdd canonical lifecycle and infusion metadata, correct Hugging Face base-model and pipeline metadata, and refresh integrity records.
- README.md +1 -0
- checksums.sha256 +2 -2
- release_export_manifest.json +54 -35
README.md
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---
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# LumynaX Chat Yi-1.5 34B GGUF (multilingual)
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base_model: 01-ai/Yi-1.5-34B-Chat
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---
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# LumynaX Chat Yi-1.5 34B GGUF (multilingual)
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d0b4f9120ba026c00fa23cb84b4e1620a2e6436592e58155a5151653179572c0 VERSION.txt
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7f1d1228bb0006621ececcea13102f7c9595d17102d2b8824c51d474d7dfd5a5 ollama/Modelfile
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d0b4f9120ba026c00fa23cb84b4e1620a2e6436592e58155a5151653179572c0 VERSION.txt
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7f1d1228bb0006621ececcea13102f7c9595d17102d2b8824c51d474d7dfd5a5 ollama/Modelfile
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26b2fb6f2558c3e872f791f80950343efad42948cefffd1597d54a23fbe65e5d quickstart.py
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feea4c6a1d5ef696f07f5f65369698638f01eec689df109a249fab4330b4c000 README.md
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{
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"release_id": "lumynax-chat-yi-15-34b-gguf",
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"title": "LumynaX Chat Yi-1.5 34B GGUF (multilingual)",
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"repo_id": "AbteeXAILab/lumynax-chat-yi-15-34b-gguf",
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"version": "v0.1.0",
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"publisher": "AbteeX AI Labs",
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"publisher_org": "AbteeXAILab",
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"jurisdiction": "NZ",
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"upstream": {
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"repo_id": "01-ai/Yi-1.5-34B-Chat",
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"license": "apache-2.0",
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"prompt_format": "chatml",
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"source_note": "01-ai Yi"
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},
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"gguf_mirror": "bartowski/Yi-1.5-34B-Chat-GGUF",
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"runtime": "llama_cpp",
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"modalities": [
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"text"
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],
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"context_tokens": 32768,
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"total_params_b": 34,
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"active_params_b": null,
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"quantization": "Q4_K_M GGUF",
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"primary_artifact": "Yi-1.5-34B-Chat-Q4_K_M.gguf",
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"package_state": "weights_mirrored",
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"validation_status": "scaffold_verified",
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"sovereignty_tier": 3,
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"supports_tools": true,
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"supports_json": true,
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"audit_hash_chain": "SHA-256 over canonical request + response JSON",
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"build_date_utc": "2026-05-17T02:13:28Z"
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{
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"release_id": "lumynax-chat-yi-15-34b-gguf",
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"title": "LumynaX Chat Yi-1.5 34B GGUF (multilingual)",
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"repo_id": "AbteeXAILab/lumynax-chat-yi-15-34b-gguf",
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"version": "v0.1.0",
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"publisher": "AbteeX AI Labs",
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"publisher_org": "AbteeXAILab",
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"jurisdiction": "NZ",
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"residency": [
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"NZ"
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],
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"upstream": {
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"repo_id": "01-ai/Yi-1.5-34B-Chat",
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"license": "apache-2.0",
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"prompt_format": "chatml",
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"source_note": "01-ai Yi"
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},
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"gguf_mirror": "bartowski/Yi-1.5-34B-Chat-GGUF",
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"runtime": "llama_cpp",
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"modalities": [
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"text"
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],
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"context_tokens": 32768,
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"total_params_b": 34,
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"active_params_b": null,
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"quantization": "Q4_K_M GGUF",
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"primary_artifact": "Yi-1.5-34B-Chat-Q4_K_M.gguf",
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"package_state": "weights_mirrored",
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"validation_status": "scaffold_verified",
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"sovereignty_tier": 3,
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"supports_tools": true,
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"supports_json": true,
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"audit_hash_chain": "SHA-256 over canonical request + response JSON",
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"build_date_utc": "2026-05-17T02:13:28Z",
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"lumynax_manifest_version": 3,
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"lifecycle": {
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"status": "legacy",
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"maintenance": "unmaintained",
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"production_recommended": false
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},
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"lumynax_infusion": {
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"core_role": "primary_intelligence_model",
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"method": "routed",
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"infused_model": "01-ai/Yi-1.5-34B-Chat",
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"weight_composition_applied": false,
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"moe_composition": "not_applied"
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},
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"licensing": {
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"id": "apache-2.0",
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"license_file": "LICENSE.txt",
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"source_model_repo": "01-ai/Yi-1.5-34B-Chat",
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"weights_subject_to_source_license": true
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}
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}
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