Text / LiquidAI
LFM2.5 2.6B GGUF
LFM2.5 2.6B GGUF from LiquidAI. Source-based hardware guidance from its published configuration.
EstimatedRepository opened Aug 1, 2026Source checked 9/24/2026Version: e7caca5d
LOCALRENTED GPUOPEN WEIGHTS
At a glance
- Architecture
- unknown
- License
- lfm1.0
- Software
- llama.cpp, Transformers
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Add my hardwareWays to run it
llama.cpp · Windows, macOS, Linux
Repository-specific command in publisher documentation; confirm dependencies and hardware in the source.
llama-cli -hf LiquidAI/LFM2.5-2.6B-GGUF --conversation --temp 0.1 --top-k 50 --repeat-penalty 1.1Transformers · See official guide
Repository-specific command in publisher documentation; confirm dependencies and hardware in the source.
from transformers import AutoModelForCausalLM, AutoTokenizer
repo_id = "LiquidAI/LFM2.5-2.6B-GGUF"
tokenizer = AutoTokenizer.from_pretrained(repo_id, subfolder="qad")
model = AutoModelForCausalLM.from_pretrained(
repo_id, subfolder="qad", dtype="auto", device_map="auto"
)
inputs = tokenizer.apply_chat_template(
[{"role": "user", "content": "What is 2 + 2?"}],
tokenize=True, add_generation_prompt=True, return_dict=True, return_tensors="pt",
).to(model.device)
outputs = model.generate(**inputs, max_new_tokens=128)
print(tokenizer.decode(outputs[0, inputs["input_ids"].shape[-1]:], skip_special_tokens=True))Explore its uses
GGUFSAFETENSORSTEXT-GENERATION
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