Instructions to use skymizer/quantized-debug-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use skymizer/quantized-debug-models with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="skymizer/quantized-debug-models", filename="deepseek-r1-distill-qwen-1.5b-q3_k_m-b10.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- llama.cpp
How to use skymizer/quantized-debug-models with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf skymizer/quantized-debug-models:Q3_K_M # Run inference directly in the terminal: llama-cli -hf skymizer/quantized-debug-models:Q3_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf skymizer/quantized-debug-models:Q3_K_M # Run inference directly in the terminal: llama-cli -hf skymizer/quantized-debug-models:Q3_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 skymizer/quantized-debug-models:Q3_K_M # Run inference directly in the terminal: ./llama-cli -hf skymizer/quantized-debug-models:Q3_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 skymizer/quantized-debug-models:Q3_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf skymizer/quantized-debug-models:Q3_K_M
Use Docker
docker model run hf.co/skymizer/quantized-debug-models:Q3_K_M
- LM Studio
- Jan
- Ollama
How to use skymizer/quantized-debug-models with Ollama:
ollama run hf.co/skymizer/quantized-debug-models:Q3_K_M
- Unsloth Studio new
How to use skymizer/quantized-debug-models 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 skymizer/quantized-debug-models 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 skymizer/quantized-debug-models to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for skymizer/quantized-debug-models to start chatting
- Docker Model Runner
How to use skymizer/quantized-debug-models with Docker Model Runner:
docker model run hf.co/skymizer/quantized-debug-models:Q3_K_M
- Lemonade
How to use skymizer/quantized-debug-models with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull skymizer/quantized-debug-models:Q3_K_M
Run and chat with the model
lemonade run user.quantized-debug-models-Q3_K_M
List all available models
lemonade list
Commit ·
19a0c4b
1
Parent(s): a4c3f57
Upload folder using huggingface_hub
Browse files
hf/qwen3-0.6b-base-q3_k_m-dc-b10/config.json
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{
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"vocab_size": 151936,
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"max_position_embeddings": 32768,
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"hidden_act": "silu",
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"initializer_range": 0.02,
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"rms_norm_eps": 9.999999974752427e-07,
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"use_cache": true,
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"rope_theta": 1000000.0,
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"attention_bias": false,
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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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"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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],
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"return_dict": true,
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"tie_encoder_decoder": false,
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"architectures": [
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"Qwen3ForCausalLM"
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],
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"finetuning_task": null,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1
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},
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"task_specific_params": null,
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"eos_token_id": 151643,
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"sep_token_id": null,
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"decoder_start_token_id": null,
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"max_length": 20,
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"min_length": 0,
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"do_sample": false,
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"early_stopping": false,
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"num_beams": 1,
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"num_beam_groups": 1,
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"diversity_penalty": 0.0,
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"temperature": 1.0,
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"top_k": 50,
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"top_p": 1.0,
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"typical_p": 1.0,
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"repetition_penalty": 1.0,
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"length_penalty": 1.0,
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"no_repeat_ngram_size": 0,
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"bad_words_ids": null,
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"num_return_sequences": 1,
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"output_scores": false,
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"return_dict_in_generate": false,
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"forced_bos_token_id": null,
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"forced_eos_token_id": null,
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"remove_invalid_values": false,
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"exponential_decay_length_penalty": null,
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"suppress_tokens": null,
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"begin_suppress_tokens": null,
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"_name_or_path": "./models/",
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"transformers_version": "4.55.0",
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"model_type": "qwen3",
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"_model_name_or_path": "Qwen3 0.6B Base",
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"tf_legacy_loss": false,
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"use_bfloat16": false,
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"output_attentions": false
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}
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hf/qwen3-0.6b-base-q3_k_m-dc-b10/generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 151643,
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"eos_token_id": 151643,
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"pad_token_id": 151643,
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"transformers_version": "4.55.0"
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}
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hf/qwen3-0.6b-base-q3_k_m/config.json
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{
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"vocab_size": 151936,
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"max_position_embeddings": 32768,
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"hidden_size": 1024,
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"intermediate_size": 3072,
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"num_hidden_layers": 28,
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"num_attention_heads": 16,
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"use_sliding_window": false,
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"sliding_window": null,
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"max_window_layers": 28,
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"num_key_value_heads": 8,
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"head_dim": 128,
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"hidden_act": "silu",
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"initializer_range": 0.02,
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"rms_norm_eps": 9.999999974752427e-07,
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"use_cache": true,
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"rope_theta": 1000000.0,
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"rope_scaling": null,
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"attention_bias": false,
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"attention_dropout": 0.0,
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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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"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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],
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"return_dict": true,
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"output_hidden_states": false,
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| 53 |
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"torchscript": false,
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| 54 |
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"torch_dtype": "bfloat16",
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| 55 |
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"pruned_heads": {},
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| 56 |
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"tie_word_embeddings": true,
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"chunk_size_feed_forward": 0,
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| 58 |
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"is_encoder_decoder": false,
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| 59 |
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"is_decoder": false,
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"cross_attention_hidden_size": null,
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| 61 |
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"add_cross_attention": false,
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| 62 |
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"tie_encoder_decoder": false,
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| 63 |
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"architectures": [
|
| 64 |
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"Qwen3ForCausalLM"
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| 65 |
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],
|
| 66 |
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"finetuning_task": null,
|
| 67 |
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"id2label": {
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| 68 |
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"0": "LABEL_0",
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| 69 |
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"1": "LABEL_1"
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},
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| 71 |
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"label2id": {
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| 72 |
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"LABEL_0": 0,
|
| 73 |
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"LABEL_1": 1
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| 74 |
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},
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| 75 |
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"task_specific_params": null,
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| 76 |
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"problem_type": null,
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| 77 |
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"tokenizer_class": null,
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| 78 |
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"prefix": null,
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| 79 |
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"bos_token_id": 151643,
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| 80 |
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"pad_token_id": 151643,
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| 81 |
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"eos_token_id": 151643,
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| 82 |
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"sep_token_id": null,
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| 83 |
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"decoder_start_token_id": null,
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| 84 |
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"max_length": 20,
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| 85 |
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"min_length": 0,
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| 86 |
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"do_sample": false,
|
| 87 |
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"early_stopping": false,
|
| 88 |
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"num_beams": 1,
|
| 89 |
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"num_beam_groups": 1,
|
| 90 |
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"diversity_penalty": 0.0,
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| 91 |
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"temperature": 1.0,
|
| 92 |
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"top_k": 50,
|
| 93 |
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"top_p": 1.0,
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| 94 |
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"typical_p": 1.0,
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| 95 |
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"repetition_penalty": 1.0,
|
| 96 |
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"length_penalty": 1.0,
|
| 97 |
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"no_repeat_ngram_size": 0,
|
| 98 |
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"encoder_no_repeat_ngram_size": 0,
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| 99 |
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"bad_words_ids": null,
|
| 100 |
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"num_return_sequences": 1,
|
| 101 |
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"output_scores": false,
|
| 102 |
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"return_dict_in_generate": false,
|
| 103 |
+
"forced_bos_token_id": null,
|
| 104 |
+
"forced_eos_token_id": null,
|
| 105 |
+
"remove_invalid_values": false,
|
| 106 |
+
"exponential_decay_length_penalty": null,
|
| 107 |
+
"suppress_tokens": null,
|
| 108 |
+
"begin_suppress_tokens": null,
|
| 109 |
+
"_name_or_path": "skymizer/Qwen3-0.6B-Base-GGUF",
|
| 110 |
+
"transformers_version": "4.55.0",
|
| 111 |
+
"model_type": "qwen3",
|
| 112 |
+
"_model_name_or_path": "Qwen3 0.6B Base",
|
| 113 |
+
"tf_legacy_loss": false,
|
| 114 |
+
"use_bfloat16": false,
|
| 115 |
+
"output_attentions": false
|
| 116 |
+
}
|
hf/qwen3-0.6b-base-q3_k_m/generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 151643,
|
| 4 |
+
"eos_token_id": 151643,
|
| 5 |
+
"pad_token_id": 151643,
|
| 6 |
+
"transformers_version": "4.55.0"
|
| 7 |
+
}
|