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Model: afrideva/phi-2-psy-GGUF Source: Original Platform
2026-11-03 05:04:16 +08:00
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+---
+base_model: vince62s/phi-2-psy
+inference: false
+license: mit
+model_creator: vince62s
+model_name: phi-2-psy
+pipeline_tag: text-generation
+quantized_by: afrideva
+tags:
+- merge
+- mergekit
+- lazymergekit
+- rhysjones/phi-2-orange
+- cognitivecomputations/dolphin-2_6-phi-2
+- gguf
+- ggml
+- quantized
+- q2_k
+- q3_k_m
+- q4_k_m
+- q5_k_m
+- q6_k
+- q8_0
+---
+# vince62s/phi-2-psy-GGUF
+
+Quantized GGUF model files for [phi-2-psy](https://huggingface.co/vince62s/phi-2-psy) from [vince62s](https://huggingface.co/vince62s)
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [phi-2-psy.fp16.gguf](https://huggingface.co/afrideva/phi-2-psy-GGUF/resolve/main/phi-2-psy.fp16.gguf) | fp16 | 5.56 GB  |
+| [phi-2-psy.q2_k.gguf](https://huggingface.co/afrideva/phi-2-psy-GGUF/resolve/main/phi-2-psy.q2_k.gguf) | q2_k | 1.11 GB  |
+| [phi-2-psy.q3_k_m.gguf](https://huggingface.co/afrideva/phi-2-psy-GGUF/resolve/main/phi-2-psy.q3_k_m.gguf) | q3_k_m | 1.43 GB  |
+| [phi-2-psy.q4_k_m.gguf](https://huggingface.co/afrideva/phi-2-psy-GGUF/resolve/main/phi-2-psy.q4_k_m.gguf) | q4_k_m | 1.74 GB  |
+| [phi-2-psy.q5_k_m.gguf](https://huggingface.co/afrideva/phi-2-psy-GGUF/resolve/main/phi-2-psy.q5_k_m.gguf) | q5_k_m | 2.00 GB  |
+| [phi-2-psy.q6_k.gguf](https://huggingface.co/afrideva/phi-2-psy-GGUF/resolve/main/phi-2-psy.q6_k.gguf) | q6_k | 2.29 GB  |
+| [phi-2-psy.q8_0.gguf](https://huggingface.co/afrideva/phi-2-psy-GGUF/resolve/main/phi-2-psy.q8_0.gguf) | q8_0 | 2.96 GB  |
+
+
+
+## Original Model Card:
+# Phi-2-psy
+
+Phi-2-psy is a merge of the following models:
+* [rhysjones/phi-2-orange](https://huggingface.co/rhysjones/phi-2-orange)
+* [cognitivecomputations/dolphin-2_6-phi-2](https://huggingface.co/cognitivecomputations/dolphin-2_6-phi-2)
+
+## 🏆 Evaluation
+
+The evaluation was performed using [LLM AutoEval](https://github.com/mlabonne/llm-autoeval) on Nous suite.
+
+|                             Model                              |AGIEval|GPT4All|TruthfulQA|Bigbench|Average|
+|----------------------------------------------------------------|------:|------:|---------:|-------:|------:|
+|[**phi-2-psy**](https://huggingface.co/vince62s/phi-2-psy)|   **34.4**|  **71.4**|     **48.2**|   **38.1**|  **48.02**|
+|[phixtral-2x2_8](https://huggingface.co/mlabonne/phixtral-2x2_8)|   34.1|  70.4|     48.8|   37.8|  47.78|
+|[dolphin-2_6-phi-2](https://huggingface.co/cognitivecomputations/dolphin-2_6-phi-2)|  33.1|  69.9|     47.4|    37.2|  46.89|
+|[phi-2-orange](https://huggingface.co/rhysjones/phi-2-orange)|  33.4|  71.3|     49.9|    37.3|  47.97|
+|[phi-2](https://huggingface.co/microsoft/phi-2)|  28.0|   70.8|     44.4|   35.2|  44.61|
+
+## 🧩 Configuration
+
+```yaml
+slices:
+  - sources:
+      - model: rhysjones/phi-2-orange
+        layer_range: [0, 32]
+      - model: cognitivecomputations/dolphin-2_6-phi-2
+        layer_range: [0, 32]
+merge_method: slerp
+base_model: rhysjones/phi-2-orange
+parameters:
+  t:
+    - filter: self_attn
+      value: [0, 0.5, 0.3, 0.7, 1]
+    - filter: mlp
+      value: [1, 0.5, 0.7, 0.3, 0]
+    - value: 0.5
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+import torch
+from transformers import AutoModelForCausalLM, AutoTokenizer
+torch.set_default_device("cuda")
+model = AutoModelForCausalLM.from_pretrained("vince62s/phi-2-psy", torch_dtype="auto", trust_remote_code=True)
+tokenizer = AutoTokenizer.from_pretrained("vince62s/phi-2-psy", trust_remote_code=True)
+inputs = tokenizer('''def print_prime(n):
+   """
+   Print all primes between 1 and n
+   """''', return_tensors="pt", return_attention_mask=False)
+outputs = model.generate(**inputs, max_length=200)
+text = tokenizer.batch_decode(outputs)[0]
+print(text)
+```