Text Generation
PEFT
Safetensors
English
conversational-search
conversational-retrieval
query-rewriting
memory
lora
Instructions to use mohammed933/MemRevise-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mohammed933/MemRevise-models with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download base/config.json from mohammed933/MemRevise-models: direct link, hf CLI and curl.
- Browser
- Download file 902 Bytes
-
https://huggingface.co/mohammed933/MemRevise-models/resolve/main/base/config.json
- Command line
-
hf download hf://mohammed933/MemRevise-models/base/config.json
-
curl -L -o config.json https://huggingface.co/mohammed933/MemRevise-models/resolve/main/base/config.json
902 Bytes
| { | |
| "architectures": [ | |
| "Ministral3ForCausalLM" | |
| ], | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 1, | |
| "dtype": "bfloat16", | |
| "eos_token_id": 2, | |
| "head_dim": 128, | |
| "hidden_act": "silu", | |
| "hidden_size": 3072, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 9216, | |
| "max_position_embeddings": 262144, | |
| "model_type": "ministral3", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 26, | |
| "num_key_value_heads": 8, | |
| "pad_token_id": 11, | |
| "rms_norm_eps": 1e-05, | |
| "rope_parameters": { | |
| "beta_fast": 32.0, | |
| "beta_slow": 1.0, | |
| "factor": 16.0, | |
| "llama_4_scaling_beta": 0.1, | |
| "mscale": 1.0, | |
| "mscale_all_dim": 1.0, | |
| "original_max_position_embeddings": 16384, | |
| "rope_theta": 1000000.0, | |
| "rope_type": "yarn", | |
| "type": "yarn" | |
| }, | |
| "sliding_window": null, | |
| "tie_word_embeddings": true, | |
| "transformers_version": "5.11.0", | |
| "use_cache": true, | |
| "vocab_size": 131072 | |
| } | |