TLF-7B-LLM-01: Upload LoRA adapters (2026-03-29)

README.md

@@ -10,11 +10,6 @@ tags:
 - hindi
 - sft
 - lora
-- TransLiteral
-- Kannada
-- Indic
-- Oriya
-- Punjabi
 ---
 # TLF-7B-LLM-01
 
@@ -64,7 +59,7 @@ To achieve the intended structured output, use the following prompt format:
 
 ```python
 import mlx_lm
-model, tokenizer = mlx_lm.load("assignarc/TLF-7B-LLM-01")
+model, tokenizer = mlx_lm.load("AssignArc/TLF-7B-LLM-01")
 
 prompt = "Provide a comprehensive morphological breakdown for: 'Abacus'"
 # Use Sarvam/Llama template logic here
@@ -79,7 +74,7 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 from peft import PeftModel
 
 base_model = AutoModelForCausalLM.from_pretrained("sarvamai/sarvam-1")
-model = PeftModel.from_pretrained(base_model, "assignarc/TLF-7B-LLM-01")
+model = PeftModel.from_pretrained(base_model, "AssignArc/TLF-7B-LLM-01")
 tokenizer = AutoTokenizer.from_pretrained("sarvamai/sarvam-1")
 
 inputs = tokenizer(prompt, return_tensors="pt")

adapter_config.json

@@ -1,8 +1,8 @@
 {
-    "adapter_path": "/Users/vishalkhapre/Documents/Code/TLF-7B-LLM-01/code/dict/../../raw/models/TLF-7B-MLX-01_sarvamai_sarvam-1",
+    "adapter_path": ".",
     "batch_size": 1,
-    "config": "/Users/vishalkhapre/Documents/Code/TLF-7B-LLM-01/code/dict/../../raw/models/TLF-7B-MLX-01_sarvamai_sarvam-1/mlx_config.yaml",
-    "data": "/Users/vishalkhapre/Documents/Code/TLF-7B-LLM-01/code/dict/../../raw/models/TLF-7B-MLX-01_sarvamai_sarvam-1/data",
+    "config": "./mlx_config.yaml",
+    "data": "./data",
     "fine_tune_type": "lora",
     "grad_accumulation_steps": 64,
     "grad_checkpoint": true,