Image-Text-to-Image
Transformers
Safetensors
English
Hindi
glm_moe_dsa
text-generation
compressed-tensors
ai
indian
Instructions to use upmarking/kalki-2.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use upmarking/kalki-2.5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("upmarking/kalki-2.5") model = AutoModelForCausalLM.from_pretrained("upmarking/kalki-2.5") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "GlmMoeDsaForCausalLM" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "dtype": "bfloat16", | |
| "eos_token_id": [ | |
| 154820, | |
| 154827, | |
| 154829 | |
| ], | |
| "ep_size": 1, | |
| "first_k_dense_replace": 3, | |
| "head_dim": 192, | |
| "hidden_act": "silu", | |
| "hidden_size": 6144, | |
| "index_head_dim": 128, | |
| "index_n_heads": 32, | |
| "index_share_for_mtp_iteration": true, | |
| "index_skip_topk_offset": 3, | |
| "index_topk": 2048, | |
| "index_topk_freq": 4, | |
| "index_topk_pattern": null, | |
| "indexer_rope_interleave": true, | |
| "indexer_types": [ | |
| "full", | |
| "full", | |
| "full", | |
| "shared", | |
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| ], | |
| "initializer_range": 0.02, | |
| "intermediate_size": 12288, | |
| "kv_lora_rank": 512, | |
| "max_position_embeddings": 1048576, | |
| "mlp_layer_types": [ | |
| "dense", | |
| "dense", | |
| "dense", | |
| "sparse", | |
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| ], | |
| "model_type": "glm_moe_dsa", | |
| "moe_intermediate_size": 2048, | |
| "moe_layer_freq": 1, | |
| "n_group": 1, | |
| "n_routed_experts": 256, | |
| "n_shared_experts": 1, | |
| "norm_topk_prob": true, | |
| "num_attention_heads": 64, | |
| "num_experts_per_tok": 8, | |
| "num_hidden_layers": 78, | |
| "num_key_value_heads": 64, | |
| "num_nextn_predict_layers": 1, | |
| "pad_token_id": 154820, | |
| "pretraining_tp": 1, | |
| "q_lora_rank": 2048, | |
| "qk_head_dim": 256, | |
| "qk_nope_head_dim": 192, | |
| "qk_rope_head_dim": 64, | |
| "rms_norm_eps": 1e-05, | |
| "rope_interleave": true, | |
| "rope_parameters": { | |
| "rope_theta": 8000000, | |
| "rope_type": "default" | |
| }, | |
| "routed_scaling_factor": 2.5, | |
| "scoring_func": "sigmoid", | |
| "tie_word_embeddings": false, | |
| "topk_group": 1, | |
| "topk_method": "noaux_tc", | |
| "transformers_version": "5.12.0", | |
| "use_cache": true, | |
| "v_head_dim": 256, | |
| "vocab_size": 154880 | |
| } | |