GLM4.7-Distill-LFM2.5-1.2B
14
1
license:apache-2.0
by
yasserrmd
Language Model
OTHER
1.2B params
New
14 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
3GB+ RAM
Mobile
Laptop
Server
Quick Summary
AI model with specialized capabilities.
Device Compatibility
Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
2GB+ RAM
Code Examples
Usagepythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer, TextStreamer
model_id = "yasserrmd/GLM4.7-Distill-LFM2.5-1.2B"
model = AutoModelForCausalLM.from_pretrained(
model_id,
device_map="auto",
dtype="bfloat16",
# attn_implementation="flash_attention_2" # uncomment on compatible GPU
)
tokenizer = AutoTokenizer.from_pretrained(model_id)
streamer = TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
prompt = "Implement QuickSort algorithm with complexity analysis"
input_ids = tokenizer.apply_chat_template(
[{"role": "user", "content": prompt}],
add_generation_prompt=True,
return_tensors="pt",
tokenize=True,
).to(model.device)
output = model.generate(
input_ids,
do_sample=True,
temperature=0.1,
top_k=50,
top_p=0.1,
repetition_penalty=1.05,
max_new_tokens=512,
streamer=streamer,
)Deploy This Model
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