Image-Text-to-Text
PEFT
Safetensors
English
gemma4
solar-energy
community-solar
function-calling
multimodal
lora
unsloth
edge-ai
energy
sustainability
hackathon
conversational
Eval Results (legacy)
Instructions to use Truthseeker87/solarhive-e4b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Truthseeker87/solarhive-e4b-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/content/drive/MyDrive/models/gemma-4/transformers/gemma-4-e4b-it/1") model = PeftModel.from_pretrained(base_model, "Truthseeker87/solarhive-e4b-lora") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_config.json from Truthseeker87/solarhive-e4b-lora: direct link, hf CLI and curl.
- Browser
- Download file 1.69 kB
-
https://huggingface.co/Truthseeker87/solarhive-e4b-lora/resolve/main/adapter_config.json
- Command line
-
hf download hf://Truthseeker87/solarhive-e4b-lora/adapter_config.json
-
curl -L -o adapter_config.json https://huggingface.co/Truthseeker87/solarhive-e4b-lora/resolve/main/adapter_config.json
1.69 kB
| { | |
| "alora_invocation_tokens": null, | |
| "alpha_pattern": {}, | |
| "arrow_config": null, | |
| "auto_mapping": { | |
| "base_model_class": "Gemma4ForConditionalGeneration", | |
| "parent_library": "transformers.models.gemma4.modeling_gemma4", | |
| "unsloth_fixed": true | |
| }, | |
| "base_model_name_or_path": "/content/drive/MyDrive/models/gemma-4/transformers/gemma-4-e4b-it/1", | |
| "bias": "none", | |
| "corda_config": null, | |
| "ensure_weight_tying": false, | |
| "eva_config": null, | |
| "exclude_modules": null, | |
| "fan_in_fan_out": false, | |
| "inference_mode": true, | |
| "init_lora_weights": true, | |
| "layer_replication": null, | |
| "layers_pattern": null, | |
| "layers_to_transform": null, | |
| "loftq_config": {}, | |
| "lora_alpha": 16, | |
| "lora_bias": false, | |
| "lora_dropout": 0, | |
| "lora_ga_config": null, | |
| "megatron_config": null, | |
| "megatron_core": "megatron.core", | |
| "modules_to_save": null, | |
| "peft_type": "LORA", | |
| "peft_version": "0.19.1", | |
| "qalora_group_size": 16, | |
| "r": 16, | |
| "rank_pattern": {}, | |
| "revision": null, | |
| "target_modules": "(?:.*?(?:vision|image|visual|patch|language|text).*?(?:self_attn|attention|attn|mlp|feed_forward|ffn|dense).*?(?:k_proj|q_proj|v_proj|o_proj|gate_proj|up_proj|down_proj|per_layer_input_gate|per_layer_projection|linear|embedding_projection|relative_k_proj).*?)|(?:\\bmodel\\.layers\\.[\\d]{1,}\\.(?:self_attn|attention|attn|mlp|feed_forward|ffn|dense)\\.(?:(?:k_proj|q_proj|v_proj|o_proj|gate_proj|up_proj|down_proj|per_layer_input_gate|per_layer_projection|linear|embedding_projection|relative_k_proj)))", | |
| "target_parameters": null, | |
| "task_type": "CAUSAL_LM", | |
| "trainable_token_indices": null, | |
| "use_bdlora": null, | |
| "use_dora": false, | |
| "use_qalora": false, | |
| "use_rslora": false | |
| } |