Instructions to use CrowdMind/lamb-base 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 CrowdMind/lamb-base 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 CrowdMind/lamb-base:F16 # Run inference directly in the terminal: llama cli -hf CrowdMind/lamb-base:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf CrowdMind/lamb-base:F16 # Run inference directly in the terminal: llama cli -hf CrowdMind/lamb-base:F16
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 CrowdMind/lamb-base:F16 # Run inference directly in the terminal: ./build/bin/llama cli -hf CrowdMind/lamb-base:F16
Use Docker
docker model run hf.co/CrowdMind/lamb-base:F16
- Llama new
- LM Studio
- Jan
- Ollama
How to use CrowdMind/lamb-base with Ollama:
ollama run hf.co/CrowdMind/lamb-base:F16
- Unsloth Desktop
- Docker Model Runner
How to use CrowdMind/lamb-base with Docker Model Runner:
docker model run hf.co/CrowdMind/lamb-base:F16
- Lemonade
How to use CrowdMind/lamb-base with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull CrowdMind/lamb-base:F16
Run and chat with the model
lemonade run user.lamb-base-F16
List all available models
lemonade list
- Atomic Chat
Upload 5 files
Browse files- meta_001679.json +59 -0
- model_001679.pt +3 -0
- optim_001679_rank0.pt +3 -0
- token_bytes.pt +3 -0
- tokenizer.pkl +3 -0
meta_001679.json
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{
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"step": 1679,
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"val_bpb": 0.33559814257945075,
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"model_config": {
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"sequence_len": 8196,
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"vocab_size": 32768,
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"n_layer": 12,
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"n_head": 6,
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"n_kv_head": 6,
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"n_embd": 768,
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"window_pattern": "SSSL"
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},
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"user_config": {
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"run": "dummy",
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"device_type": "",
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"fp8": false,
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"fp8_recipe": "tensorwise",
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"depth": 12,
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"aspect_ratio": 64,
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"head_dim": 128,
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"max_seq_len": 8196,
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"window_pattern": "SSSL",
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"ordered_data": true,
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"num_iterations": -1,
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"target_flops": -1.0,
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"target_param_data_ratio": 8.0,
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"device_batch_size": 1,
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"total_batch_size": 524544,
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"embedding_lr": 0.3,
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"unembedding_lr": 0.008,
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"weight_decay": 0.28,
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"matrix_lr": 0.02,
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"scalar_lr": 0.5,
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"warmup_steps": 40,
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"warmdown_ratio": 0.65,
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"final_lr_frac": 0.05,
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"resume_from_step": -1,
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"eval_every": 250,
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"eval_tokens": 81960,
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"core_metric_every": -1,
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"core_metric_max_per_task": 500,
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"sample_every": -1,
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"save_every": -1,
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"model_tag": "simple_20261101_curriculum"
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},
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"device_batch_size": 1,
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"max_seq_len": 8196,
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"total_batch_size": 524544,
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"dataloader_state_dict": {
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"pq_idx": 1,
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"rg_idx": 179,
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"epoch": 1
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},
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"loop_state": {
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"min_val_bpb": 0.33149468985271474,
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"smooth_train_loss": 0.6637563544034941,
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"total_training_time": 27801.5051074028
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}
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}
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model_001679.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:36f82f6baf494f82d913018e209d0f685d058a176ae26e9b263e7b31d762c23e
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size 792761399
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optim_001679_rank0.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:4859ad7f0ff4f1edafacc6c74f6a7b284373a7e5b085841e492967a1c37241f4
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size 1246165237
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token_bytes.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:a6cc922eaf6548da806759457b823c758ae418a078d7a7a2cf2836c595288db2
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size 132649
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tokenizer.pkl
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version https://git-lfs.github.com/spec/v1
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oid sha256:0c87a69830b1a3e1699872ff6392fef68ab5eae802b1311376dbb59e5d3c1134
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size 408048
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