Text Generation
Safetensors
English
glm4_moe_lite
math
reasoning
chain-of-thought
fine-tuned
glm
unsloth
conversational
Instructions to use artindnr/mochi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps Settings
- Unsloth Studio
How to use artindnr/mochi 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 artindnr/mochi 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 artindnr/mochi to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for artindnr/mochi to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="artindnr/mochi", max_seq_length=2048, )
| { | |
| "architectures": [ | |
| "Glm4MoeLiteForCausalLM" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 0, | |
| "torch_dtype": "bfloat16", | |
| "eos_token_id": [ | |
| 154820, | |
| 154827, | |
| 154829 | |
| ], | |
| "first_k_dense_replace": 1, | |
| "head_dim": 64, | |
| "hidden_act": "silu", | |
| "hidden_size": 2048, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 10240, | |
| "kv_lora_rank": 512, | |
| "max_position_embeddings": 202752, | |
| "mlp_layer_types": [ | |
| "dense", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse", | |
| "sparse" | |
| ], | |
| "model_name": "unsloth/GLM-4.7-Flash", | |
| "model_type": "glm4_moe_lite", | |
| "moe_intermediate_size": 1536, | |
| "n_group": 1, | |
| "n_routed_experts": 64, | |
| "n_shared_experts": 1, | |
| "norm_topk_prob": true, | |
| "num_attention_heads": 20, | |
| "num_experts_per_tok": 4, | |
| "num_hidden_layers": 47, | |
| "num_key_value_heads": 20, | |
| "num_nextn_predict_layers": 1, | |
| "pad_token_id": 154821, | |
| "partial_rotary_factor": 1.0, | |
| "pretraining_tp": 1, | |
| "q_lora_rank": 768, | |
| "qk_head_dim": 256, | |
| "qk_nope_head_dim": 192, | |
| "qk_rope_head_dim": 64, | |
| "rms_norm_eps": 1e-05, | |
| "rope_interleave": true, | |
| "rope_parameters": { | |
| "partial_rotary_factor": 1.0, | |
| "rope_theta": 1000000, | |
| "rope_type": "default" | |
| }, | |
| "routed_scaling_factor": 1.8, | |
| "scoring_func": "sigmoid", | |
| "tie_word_embeddings": false, | |
| "topk_group": 1, | |
| "topk_method": "noaux_tc", | |
| "unsloth_fixed": true, | |
| "unsloth_version": "2026.8.8", | |
| "use_cache": false, | |
| "v_head_dim": 256, | |
| "vocab_size": 154880 | |
| } |