RichardErkhov/rhysjones_-_phi-2-orange-v2-gguf
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rhysjones_-_phi-2-orange-v2…/README.md
ModelHub XC fe3364cdd0 初始化项目，由ModelHub XC社区提供模型 
Model: RichardErkhov/rhysjones_-_phi-2-orange-v2-gguf
Source: Original Platform
2026-10-24 04:22:17 +08:00

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Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
phi-2-orange-v2 - GGUF
- Model creator: https://huggingface.co/rhysjones/
- Original model: https://huggingface.co/rhysjones/phi-2-orange-v2/
| Name | Quant method | Size |
| ---- | ---- | ---- |
| [phi-2-orange-v2.Q2_K.gguf](https://huggingface.co/RichardErkhov/rhysjones_-_phi-2-orange-v2-gguf/blob/main/phi-2-orange-v2.Q2_K.gguf) | Q2_K | 1.03GB |
| [phi-2-orange-v2.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/rhysjones_-_phi-2-orange-v2-gguf/blob/main/phi-2-orange-v2.IQ3_XS.gguf) | IQ3_XS | 1.12GB |
| [phi-2-orange-v2.IQ3_S.gguf](https://huggingface.co/RichardErkhov/rhysjones_-_phi-2-orange-v2-gguf/blob/main/phi-2-orange-v2.IQ3_S.gguf) | IQ3_S | 1.16GB |
| [phi-2-orange-v2.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/rhysjones_-_phi-2-orange-v2-gguf/blob/main/phi-2-orange-v2.Q3_K_S.gguf) | Q3_K_S | 1.16GB |
| [phi-2-orange-v2.IQ3_M.gguf](https://huggingface.co/RichardErkhov/rhysjones_-_phi-2-orange-v2-gguf/blob/main/phi-2-orange-v2.IQ3_M.gguf) | IQ3_M | 1.23GB |
| [phi-2-orange-v2.Q3_K.gguf](https://huggingface.co/RichardErkhov/rhysjones_-_phi-2-orange-v2-gguf/blob/main/phi-2-orange-v2.Q3_K.gguf) | Q3_K | 1.33GB |
| [phi-2-orange-v2.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/rhysjones_-_phi-2-orange-v2-gguf/blob/main/phi-2-orange-v2.Q3_K_M.gguf) | Q3_K_M | 1.33GB |
| [phi-2-orange-v2.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/rhysjones_-_phi-2-orange-v2-gguf/blob/main/phi-2-orange-v2.Q3_K_L.gguf) | Q3_K_L | 1.47GB |
| [phi-2-orange-v2.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/rhysjones_-_phi-2-orange-v2-gguf/blob/main/phi-2-orange-v2.IQ4_XS.gguf) | IQ4_XS | 1.43GB |
| [phi-2-orange-v2.Q4_0.gguf](https://huggingface.co/RichardErkhov/rhysjones_-_phi-2-orange-v2-gguf/blob/main/phi-2-orange-v2.Q4_0.gguf) | Q4_0 | 1.49GB |
| [phi-2-orange-v2.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/rhysjones_-_phi-2-orange-v2-gguf/blob/main/phi-2-orange-v2.IQ4_NL.gguf) | IQ4_NL | 1.5GB |
| [phi-2-orange-v2.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/rhysjones_-_phi-2-orange-v2-gguf/blob/main/phi-2-orange-v2.Q4_K_S.gguf) | Q4_K_S | 1.51GB |
| [phi-2-orange-v2.Q4_K.gguf](https://huggingface.co/RichardErkhov/rhysjones_-_phi-2-orange-v2-gguf/blob/main/phi-2-orange-v2.Q4_K.gguf) | Q4_K | 1.62GB |
| [phi-2-orange-v2.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/rhysjones_-_phi-2-orange-v2-gguf/blob/main/phi-2-orange-v2.Q4_K_M.gguf) | Q4_K_M | 1.62GB |
| [phi-2-orange-v2.Q4_1.gguf](https://huggingface.co/RichardErkhov/rhysjones_-_phi-2-orange-v2-gguf/blob/main/phi-2-orange-v2.Q4_1.gguf) | Q4_1 | 1.65GB |
| [phi-2-orange-v2.Q5_0.gguf](https://huggingface.co/RichardErkhov/rhysjones_-_phi-2-orange-v2-gguf/blob/main/phi-2-orange-v2.Q5_0.gguf) | Q5_0 | 1.8GB |
| [phi-2-orange-v2.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/rhysjones_-_phi-2-orange-v2-gguf/blob/main/phi-2-orange-v2.Q5_K_S.gguf) | Q5_K_S | 1.8GB |
| [phi-2-orange-v2.Q5_K.gguf](https://huggingface.co/RichardErkhov/rhysjones_-_phi-2-orange-v2-gguf/blob/main/phi-2-orange-v2.Q5_K.gguf) | Q5_K | 1.87GB |
| [phi-2-orange-v2.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/rhysjones_-_phi-2-orange-v2-gguf/blob/main/phi-2-orange-v2.Q5_K_M.gguf) | Q5_K_M | 1.87GB |
| [phi-2-orange-v2.Q5_1.gguf](https://huggingface.co/RichardErkhov/rhysjones_-_phi-2-orange-v2-gguf/blob/main/phi-2-orange-v2.Q5_1.gguf) | Q5_1 | 1.95GB |
| [phi-2-orange-v2.Q6_K.gguf](https://huggingface.co/RichardErkhov/rhysjones_-_phi-2-orange-v2-gguf/blob/main/phi-2-orange-v2.Q6_K.gguf) | Q6_K | 2.13GB |
| [phi-2-orange-v2.Q8_0.gguf](https://huggingface.co/RichardErkhov/rhysjones_-_phi-2-orange-v2-gguf/blob/main/phi-2-orange-v2.Q8_0.gguf) | Q8_0 | 2.75GB |
Original model description:
---
license: mit
datasets:
- Open-Orca/SlimOrca-Dedup
- migtissera/Synthia-v1.3
- LDJnr/Verified-Camel
- LDJnr/Pure-Dove
- LDJnr/Capybara
- meta-math/MetaMathQA
- Intel/orca_dpo_pairs
- argilla/ultrafeedback-binarized-preferences-cleaned
widget:
- example_title: "Example interaction"
text: "Why is the sky blue?"
inference:
parameters:
do_sample: True
temperature: 0.1
model-index:
- name: phi-2-orange-v2
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: AI2 Reasoning Challenge (25-Shot)
type: ai2_arc
config: ARC-Challenge
split: test
args:
num_few_shot: 25
metrics:
- type: acc_norm
value: 61.86
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rhysjones/phi-2-orange-v2
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: HellaSwag (10-Shot)
type: hellaswag
split: validation
args:
num_few_shot: 10
metrics:
- type: acc_norm
value: 76.32
name: normalized accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rhysjones/phi-2-orange-v2
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU (5-Shot)
type: cais/mmlu
config: all
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 55.72
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rhysjones/phi-2-orange-v2
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: TruthfulQA (0-shot)
type: truthful_qa
config: multiple_choice
split: validation
args:
num_few_shot: 0
metrics:
- type: mc2
value: 54.84
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rhysjones/phi-2-orange-v2
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: Winogrande (5-shot)
type: winogrande
config: winogrande_xl
split: validation
args:
num_few_shot: 5
metrics:
- type: acc
value: 75.69
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rhysjones/phi-2-orange-v2
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GSM8k (5-shot)
type: gsm8k
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 57.62
name: accuracy
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rhysjones/phi-2-orange-v2
name: Open LLM Leaderboard
---
![Phi-2 Orange](https://huggingface.co/rhysjones/phi-2-orange-v2/resolve/main/phi-2-orange.jpg)
# Phi-2 Orange Version 2
A two-step finetune of Phi-2, with a bit more zest.
This is an improved version of the original [Phi-2-Orange](https://huggingface.co/rhysjones/phi-2-orange) that
uses an updated training process on the same datasets.
It also uses the latest updated model from Microsoft's [Phi-2](https://huggingface.co/microsoft/phi-2), making it directly usable
within Hugging Face's Transformers library (without the need for trust remote code).
# Prompt Format
Phi-2 Orange v2 uses ChatML as the prompt format.
(Update 12th March 2024: fixed eos_token issue)
It's recommended to always prompt with a system instruction (use whatever system prompt you like):
```
<|im_start|>system
You are a helpful assistant for Python which outputs in Markdown format.<|im_end|>
<|im_start|>user
Write a function to calculate the Fibonacci sequence<|im_end|>
<|im_start|>assistant
```
For example, if you find the model's output to be overly verbose, instruct it to be short and concise:
```
<|im_start|>system
You are a helpful assistant. Be short and direct in your answers.<|im_end|>
<|im_start|>user
Was Tom Hanks in the movie Forrest Gump? If so, who did he play and give details of the plot.<|im_end|>
<|im_start|>assistant
```
# Evaluations
[Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_rhysjones__phi-2-orange-v2)
| Metric |Value|
|---------------------------------|----:|
|Average |63.67|
|AI2 Reasoning Challenge (25-Shot)|61.86|
|HellaSwag (10-Shot) |76.32|
|MMLU (5-Shot) |55.72|
|TruthfulQA (0-shot) |54.84|
|Winogrande (5-shot) |75.69|
|GSM8k (5-shot) |57.62|
[YALL - Yet Another LLM Leaderboard](https://huggingface.co/spaces/mlabonne/Yet_Another_LLM_Leaderboard)
Evaluation from [mlabonne](https://huggingface.co/mlabonne)'s alternative LLM leaderboard:
| Metric |Value|
|---------------------------------|----:|
|Average |49.64|
|AGIEval |34.55|
|GPT4All |70.96|
|TruthfulQA |54.87|
|Bigbench |38.17|
# Limitations
This model shares the same limitations as the underlying Phi-2 model, details of which are found [here](https://huggingface.co/microsoft/phi-2#limitations-of-phi-2).
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