Instructions to use JRollins/solidifAI-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use JRollins/solidifAI-lora with PEFT:

from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1")
model = PeftModel.from_pretrained(base_model, "JRollins/solidifAI-lora")

Transformers

How to use JRollins/solidifAI-lora with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="JRollins/solidifAI-lora")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("JRollins/solidifAI-lora", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use JRollins/solidifAI-lora with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "JRollins/solidifAI-lora"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "JRollins/solidifAI-lora",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/JRollins/solidifAI-lora

SGLang

How to use JRollins/solidifAI-lora with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "JRollins/solidifAI-lora" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "JRollins/solidifAI-lora",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "JRollins/solidifAI-lora" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "JRollins/solidifAI-lora",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use JRollins/solidifAI-lora with Docker Model Runner:
```
docker model run hf.co/JRollins/solidifAI-lora
```

Upload folder using huggingface_hub

by JRollins - opened Oct 15, 2025

base: refs/heads/main

←

from: refs/pr/3

Discussion Files changed

+14

-9

Files changed (2) hide show

adapter_config.json +12 -7
adapter_model.safetensors +2 -2

adapter_config.json CHANGED Viewed

@@ -13,25 +13,30 @@
   "layers_pattern": null,
   "layers_to_transform": null,
   "loftq_config": {},
-  "lora_alpha": 32,
   "lora_bias": false,
-  "lora_dropout": 0.05,
   "megatron_config": null,
   "megatron_core": "megatron.core",
-  "modules_to_save": null,
   "peft_type": "LORA",
   "qalora_group_size": 16,
   "r": 32,
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "out_proj",
-    "k_proj",
     "v_proj",
-    "q_proj"
   ],
   "target_parameters": null,
-  "task_type": "CAUSAL_LM",
   "trainable_token_indices": null,
   "use_dora": false,
   "use_qalora": false,

   "layers_pattern": null,
   "layers_to_transform": null,
   "loftq_config": {},
+  "lora_alpha": 64,
   "lora_bias": false,
+  "lora_dropout": 0.01,
   "megatron_config": null,
   "megatron_core": "megatron.core",
+  "modules_to_save": [
+    "qa_outputs"
+  ],
   "peft_type": "LORA",
   "qalora_group_size": 16,
   "r": 32,
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
+    "o_proj",
     "v_proj",
+    "gate_proj",
+    "k_proj",
+    "q_proj",
+    "down_proj",
+    "up_proj"
   ],
   "target_parameters": null,
+  "task_type": "QUESTION_ANS",
   "trainable_token_indices": null,
   "use_dora": false,
   "use_qalora": false,

adapter_model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
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