Instructions to use appvoid/void.0 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 appvoid/void.0 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 appvoid/void.0 # Run inference directly in the terminal: llama cli -hf appvoid/void.0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf appvoid/void.0 # Run inference directly in the terminal: llama cli -hf appvoid/void.0
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf appvoid/void.0 # Run inference directly in the terminal: ./build/bin/llama cli -hf appvoid/void.0
Use Docker
docker model run hf.co/appvoid/void.0
- Llama new
- LM Studio
- Jan
- Ollama
How to use appvoid/void.0 with Ollama:
ollama run hf.co/appvoid/void.0
- Unsloth Desktop
- Docker Model Runner
How to use appvoid/void.0 with Docker Model Runner:
docker model run hf.co/appvoid/void.0
- Lemonade
How to use appvoid/void.0 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull appvoid/void.0
Run and chat with the model
lemonade run user.void.0-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Continued pretraining: FineWeb-Edu + rewrite6 byte hybrid + no-prompt-15k
Browse files- all_results.json +18 -0
- config.json +62 -0
- generation_config.json +12 -0
- model.safetensors +3 -0
- train_results.json +18 -0
- trainer_state.json +0 -0
- training_args.bin +3 -0
all_results.json
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{
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"effective_batch_size": 32,
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"epoch": 2.0,
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"final_gradient_accumulation_steps": 1,
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"final_micro_batch_size": 32,
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"num_input_tokens_seen": 726302720,
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"peak_cuda_memory_gib": 213.5380449295044,
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"real_tokens_per_epoch": 363149667,
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"requested_epochs": 2.0,
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"total_flos": 4.372023498453811e+17,
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"total_optimizer_steps_planned": 5542,
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"train_blocks": 88660,
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"train_loss": 2.3499925993530812,
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"train_runtime": 10647.232,
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"train_samples_per_second": 16.654,
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"train_steps_per_second": 0.521,
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"warmup_steps": 111
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}
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config.json
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{
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"_sliding_window_pattern": 6,
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"architectures": [
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"Gemma3ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"attn_logit_softcapping": null,
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"bos_token_id": 2,
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"dtype": "bfloat16",
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"eos_token_id": 1,
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"final_logit_softcapping": null,
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"head_dim": 256,
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"hidden_activation": "gelu_pytorch_tanh",
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"hidden_size": 640,
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"initializer_range": 0.02,
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"intermediate_size": 2048,
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"layer_types": [
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"sliding_attention",
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"full_attention"
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],
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"max_position_embeddings": 32768,
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"model_type": "gemma3_text",
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"num_attention_heads": 4,
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"num_hidden_layers": 18,
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"num_key_value_heads": 1,
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"pad_token_id": 0,
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"query_pre_attn_scalar": 256,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"full_attention": {
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"rope_theta": 1000000.0,
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"rope_type": "default"
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},
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"sliding_attention": {
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"rope_theta": 10000.0,
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"rope_type": "default"
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}
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},
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"sliding_window": 512,
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"tie_word_embeddings": true,
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"transformers_version": "5.14.1",
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"use_bidirectional_attention": false,
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"use_cache": false,
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"vocab_size": 50176
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}
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generation_config.json
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{
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"bos_token_id": 2,
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"cache_implementation": "hybrid",
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"do_sample": true,
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"eos_token_id": [
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1
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],
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"pad_token_id": 0,
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"top_k": 64,
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"top_p": 0.95,
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"transformers_version": "5.14.1"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7e1bebf4612c568c5418b5ed4717d04f864f3488381e16ef561154f0a7f52db1
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size 264903928
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train_results.json
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{
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"effective_batch_size": 32,
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"epoch": 2.0,
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"final_gradient_accumulation_steps": 1,
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"final_micro_batch_size": 32,
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+
"num_input_tokens_seen": 726302720,
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+
"peak_cuda_memory_gib": 213.5380449295044,
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| 8 |
+
"real_tokens_per_epoch": 363149667,
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| 9 |
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"requested_epochs": 2.0,
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"total_flos": 4.372023498453811e+17,
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| 11 |
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"total_optimizer_steps_planned": 5542,
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| 12 |
+
"train_blocks": 88660,
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| 13 |
+
"train_loss": 2.3499925993530812,
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| 14 |
+
"train_runtime": 10647.232,
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| 15 |
+
"train_samples_per_second": 16.654,
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| 16 |
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"train_steps_per_second": 0.521,
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"warmup_steps": 111
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}
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trainer_state.json
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:f0c7f6b4148dc35718be038102965bec3395f9e66080cac538838495f6be4900
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size 5201
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