Instructions to use RichardErkhov/myfi_-_parser_phi_3_mini_4k_instruct_new_v2-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use RichardErkhov/myfi_-_parser_phi_3_mini_4k_instruct_new_v2-gguf with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf RichardErkhov/myfi_-_parser_phi_3_mini_4k_instruct_new_v2-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf RichardErkhov/myfi_-_parser_phi_3_mini_4k_instruct_new_v2-gguf:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf RichardErkhov/myfi_-_parser_phi_3_mini_4k_instruct_new_v2-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf RichardErkhov/myfi_-_parser_phi_3_mini_4k_instruct_new_v2-gguf:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf RichardErkhov/myfi_-_parser_phi_3_mini_4k_instruct_new_v2-gguf:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf RichardErkhov/myfi_-_parser_phi_3_mini_4k_instruct_new_v2-gguf:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf RichardErkhov/myfi_-_parser_phi_3_mini_4k_instruct_new_v2-gguf:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf RichardErkhov/myfi_-_parser_phi_3_mini_4k_instruct_new_v2-gguf:Q4_K_M

Use Docker

docker model run hf.co/RichardErkhov/myfi_-_parser_phi_3_mini_4k_instruct_new_v2-gguf:Q4_K_M

LM Studio
Jan
Ollama
How to use RichardErkhov/myfi_-_parser_phi_3_mini_4k_instruct_new_v2-gguf with Ollama:
```
ollama run hf.co/RichardErkhov/myfi_-_parser_phi_3_mini_4k_instruct_new_v2-gguf:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use RichardErkhov/myfi_-_parser_phi_3_mini_4k_instruct_new_v2-gguf with Docker Model Runner:
```
docker model run hf.co/RichardErkhov/myfi_-_parser_phi_3_mini_4k_instruct_new_v2-gguf:Q4_K_M
```

Lemonade

How to use RichardErkhov/myfi_-_parser_phi_3_mini_4k_instruct_new_v2-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull RichardErkhov/myfi_-_parser_phi_3_mini_4k_instruct_new_v2-gguf:Q4_K_M

Run and chat with the model

lemonade run user.myfi_-_parser_phi_3_mini_4k_instruct_new_v2-gguf-Q4_K_M

List all available models

lemonade list

Atomic Chat

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

Quantization made by Richard Erkhov.

Github

Discord

Request more models

parser_phi_3_mini_4k_instruct_new_v2 - GGUF

Model creator: https://huggingface.co/myfi/
Original model: https://huggingface.co/myfi/parser_phi_3_mini_4k_instruct_new_v2/

Name	Quant method	Size
parser_phi_3_mini_4k_instruct_new_v2.Q2_K.gguf	Q2_K	1.35GB
parser_phi_3_mini_4k_instruct_new_v2.IQ3_XS.gguf	IQ3_XS	1.49GB
parser_phi_3_mini_4k_instruct_new_v2.IQ3_S.gguf	IQ3_S	1.57GB
parser_phi_3_mini_4k_instruct_new_v2.Q3_K_S.gguf	Q3_K_S	1.57GB
parser_phi_3_mini_4k_instruct_new_v2.IQ3_M.gguf	IQ3_M	1.65GB
parser_phi_3_mini_4k_instruct_new_v2.Q3_K.gguf	Q3_K	1.75GB
parser_phi_3_mini_4k_instruct_new_v2.Q3_K_M.gguf	Q3_K_M	1.75GB
parser_phi_3_mini_4k_instruct_new_v2.Q3_K_L.gguf	Q3_K_L	1.9GB
parser_phi_3_mini_4k_instruct_new_v2.IQ4_XS.gguf	IQ4_XS	1.93GB
parser_phi_3_mini_4k_instruct_new_v2.Q4_0.gguf	Q4_0	2.03GB
parser_phi_3_mini_4k_instruct_new_v2.IQ4_NL.gguf	IQ4_NL	2.04GB
parser_phi_3_mini_4k_instruct_new_v2.Q4_K_S.gguf	Q4_K_S	2.04GB
parser_phi_3_mini_4k_instruct_new_v2.Q4_K.gguf	Q4_K	2.16GB
parser_phi_3_mini_4k_instruct_new_v2.Q4_K_M.gguf	Q4_K_M	2.16GB
parser_phi_3_mini_4k_instruct_new_v2.Q4_1.gguf	Q4_1	2.24GB
parser_phi_3_mini_4k_instruct_new_v2.Q5_0.gguf	Q5_0	2.46GB
parser_phi_3_mini_4k_instruct_new_v2.Q5_K_S.gguf	Q5_K_S	2.46GB
parser_phi_3_mini_4k_instruct_new_v2.Q5_K.gguf	Q5_K	2.53GB
parser_phi_3_mini_4k_instruct_new_v2.Q5_K_M.gguf	Q5_K_M	2.53GB
parser_phi_3_mini_4k_instruct_new_v2.Q5_1.gguf	Q5_1	2.68GB
parser_phi_3_mini_4k_instruct_new_v2.Q6_K.gguf	Q6_K	2.92GB
parser_phi_3_mini_4k_instruct_new_v2.Q8_0.gguf	Q8_0	3.78GB

Original model description:

base_model: unsloth/Phi-3-mini-4k-instruct language: - en license: apache-2.0 tags: - text-generation-inference - transformers - unsloth - mistral - trl

Uploaded model

Developed by: myfi
License: apache-2.0
Finetuned from model : unsloth/Phi-3-mini-4k-instruct

This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.

Downloads last month: 365

GGUF

Model size

4B params

Architecture

llama

Hardware compatibility

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