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---
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- llama
- gguf
base_model: unsloth/phi-4-unsloth-bnb-4bit
datasets:
- Magpie-Align/Magpie-Reasoning-V2-250K-CoT-Deepseek-R1-Llama-70B
- ServiceNow-AI/R1-Distill-SFT
model-index:
- name: ThinkPhi1.1-Tensors
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: IFEval (0-Shot)
type: HuggingFaceH4/ifeval
args:
num_few_shot: 0
metrics:
- type: inst_level_strict_acc and prompt_level_strict_acc
value: 39.08
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Quazim0t0/ThinkPhi1.1-Tensors
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: BBH (3-Shot)
type: BBH
args:
num_few_shot: 3
metrics:
- type: acc_norm
value: 49.14
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Quazim0t0/ThinkPhi1.1-Tensors
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MATH Lvl 5 (4-Shot)
type: hendrycks/competition_math
args:
num_few_shot: 4
metrics:
- type: exact_match
value: 0.0
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Quazim0t0/ThinkPhi1.1-Tensors
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GPQA (0-shot)
type: Idavidrein/gpqa
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 6.49
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Quazim0t0/ThinkPhi1.1-Tensors
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MuSR (0-shot)
type: TAUR-Lab/MuSR
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 11.28
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Quazim0t0/ThinkPhi1.1-Tensors
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU-PRO (5-shot)
type: TIGER-Lab/MMLU-Pro
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 43.42
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Quazim0t0/ThinkPhi1.1-Tensors
name: Open LLM Leaderboard
---
# Uploaded model
- **Developed by:** Quazim0t0
- **Finetuned from model :** unsloth/phi-4-unsloth-bnb-4bit
- **GGUF**
- **Trained for 4-5 Hours on A800 with the MagPie-Reasoning-V2-CoT-DeepSeek-R1-Llama-70B & ServiceNow-AI/R1-Distill-SFT.**
- **5$ Training...I'm actually amazed by the results.**
If using this model for Open WebUI here is a simple function to organize the models responses: https://openwebui.com/f/quaz93/phithink/
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/Quazim0t0__ThinkPhi1.1-Tensors-details)
| Metric |Value|
|-------------------|----:|
|Avg. |24.90|
|IFEval (0-Shot) |39.08|
|BBH (3-Shot) |49.14|
|MATH Lvl 5 (4-Shot)| 0.00|
|GPQA (0-shot) | 6.49|
|MuSR (0-shot) |11.28|
|MMLU-PRO (5-shot) |43.42|
|