TheBlueObserver/Falcon3-10B-Instruct-MLX
The Model TheBlueObserver/Falcon3-10B-Instruct-MLX was converted to MLX format from tiiuae/Falcon3-10B-Instruct using mlx-lm version 0.20.2.
Use with mlx
pip install mlx-lm
from mlx_lm import load, generate
model, tokenizer = load("TheBlueObserver/Falcon3-10B-Instruct-MLX")
prompt="hello"
if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
messages = [{"role": "user", "content": prompt}]
prompt = tokenizer.apply_chat_template(
messages, tokenize=False, add_generation_prompt=True
)
response = generate(model, tokenizer, prompt=prompt, verbose=True)
- Downloads last month
- 3
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for TheBlueObserver/Falcon3-10B-Instruct-MLX
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard78.170
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard44.820
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard25.910
- acc_norm on GPQA (0-shot)Open LLM Leaderboard10.510
- acc_norm on MuSR (0-shot)Open LLM Leaderboard13.610
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard38.100