license, library_name, base_model, tags
| license | library_name | base_model | tags | ||||
|---|---|---|---|---|---|---|---|
| other | transformers | Qwen/Qwen2.5-14B-Instruct |
|
NanoLLM Qwen2.5-14B-Instruct v3.1
Compact self-contained NanoLLM format is in nano_compact/.
from transformers import AutoModelForCausalLM, AutoTokenizer
repo_id = "RthItalia/NanoLLM-Qwen2.5-14B-v3.1"
tokenizer = AutoTokenizer.from_pretrained(repo_id, subfolder="nano_compact", use_fast=True)
model = AutoModelForCausalLM.from_pretrained(repo_id, subfolder="nano_compact", trust_remote_code=True, device_map="auto")
Validation against 8-bit reference:
- avg cosine: 0.98984375
- min cosine: 0.9765625
- gate: avg >= 0.985
nano_compact/model.safetensors contains Nano quantized tensors and does not require downloading the Qwen base weights.