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Model: second-state/Phi-4-mini-instruct-GGUF Source: Original Platform
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---
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base_model: microsoft/Phi-4-mini-instruct
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license: mit
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license_link: https://huggingface.co/microsoft/Phi-4-mini-instruct/resolve/main/LICENSE
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language:
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- "multilingual"
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- "ar"
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- "zh"
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- "cs"
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- "da"
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- "nl"
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- "en"
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- "fi"
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- "fr"
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- "de"
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- "he"
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- "hu"
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- "it"
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- "ja"
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- "ko"
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- "no"
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- "pl"
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- "pt"
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- "ru"
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- "es"
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- "sv"
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- "th"
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- "tr"
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- "uk"
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pipeline_tag: text-generation
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library_name: transformers
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model_creator: Microsoft
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model_name: Phi-4-mini-instruct
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quantized_by: Second State Inc.
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tags:
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- nlp
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- code
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---
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<!-- header start -->
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<!-- 200823 -->
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<div style="width: auto; margin-left: auto; margin-right: auto">
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<img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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</div>
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<hr style="margin-top: 1.0em; margin-bottom: 1.0em;">
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<!-- header end -->
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# Phi-4-mini-instruct-GGUF
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## Original Model
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[microsoft/Phi-4-mini-instruct](https://huggingface.co/microsoft/Phi-4-mini-instruct)
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## Run with LlamaEdge
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- LlamaEdge version: [v0.16.9](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.16.9) and above
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- Prompt template
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- Prompt type: `phi-4-chat`
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- Prompt string
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```text
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<|im_start|>system<|im_sep|>
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{system_message}<|im_end|>
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<|im_start|>user<|im_sep|>
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{user_message}<|im_end|>
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<|im_start|>assistant<|im_sep|>
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```
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- Context size: `128000`
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- Run as LlamaEdge service
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```bash
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wasmedge --dir .:. --nn-preload default:GGML:AUTO:Phi-4-mini-instruct-Q5_K_M.gguf \
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llama-api-server.wasm \
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--prompt-template phi-4-chat \
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--ctx-size 128000 \
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--model-name phi-4-mini
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```
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- Run as LlamaEdge command app
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```bash
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wasmedge --dir .:. --nn-preload default:GGML:AUTO:Phi-4-mini-instruct-Q5_K_M.gguf \
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llama-chat.wasm \
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--prompt-template phi-4-chat \
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--ctx-size 128000
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```
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## Quantized GGUF Models
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| Name | Quant method | Bits | Size | Use case |
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| ---- | ---- | ---- | ---- | ----- |
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| [Phi-4-mini-instruct-Q2_K.gguf](https://huggingface.co/second-state/Phi-4-mini-instruct-GGUF/blob/main/Phi-4-mini-instruct-Q2_K.gguf) | Q2_K | 2 | 1.68 GB| smallest, significant quality loss - not recommended for most purposes |
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| [Phi-4-mini-instruct-Q3_K_L.gguf](https://huggingface.co/second-state/Phi-4-mini-instruct-GGUF/blob/main/Phi-4-mini-instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 2.25 GB| small, substantial quality loss |
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| [Phi-4-mini-instruct-Q3_K_M.gguf](https://huggingface.co/second-state/Phi-4-mini-instruct-GGUF/blob/main/Phi-4-mini-instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 2.12 GB| very small, high quality loss |
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| [Phi-4-mini-instruct-Q3_K_S.gguf](https://huggingface.co/second-state/Phi-4-mini-instruct-GGUF/blob/main/Phi-4-mini-instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 1.90 GB| very small, high quality loss |
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| [Phi-4-mini-instruct-Q4_0.gguf](https://huggingface.co/second-state/Phi-4-mini-instruct-GGUF/blob/main/Phi-4-mini-instruct-Q4_0.gguf) | Q4_0 | 4 | 2.33 GB| legacy; small, very high quality loss - prefer using Q3_K_M |
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| [Phi-4-mini-instruct-Q4_K_M.gguf](https://huggingface.co/second-state/Phi-4-mini-instruct-GGUF/blob/main/Phi-4-mini-instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 2.49 GB| medium, balanced quality - recommended |
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| [Phi-4-mini-instruct-Q4_K_S.gguf](https://huggingface.co/second-state/Phi-4-mini-instruct-GGUF/blob/main/Phi-4-mini-instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 2.34 GB| small, greater quality loss |
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| [Phi-4-mini-instruct-Q5_0.gguf](https://huggingface.co/second-state/Phi-4-mini-instruct-GGUF/blob/main/Phi-4-mini-instruct-Q5_0.gguf) | Q5_0 | 5 | 2.73 GB| legacy; medium, balanced quality - prefer using Q4_K_M |
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| [Phi-4-mini-instruct-Q5_K_M.gguf](https://huggingface.co/second-state/Phi-4-mini-instruct-GGUF/blob/main/Phi-4-mini-instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 2.85 GB| large, very low quality loss - recommended |
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| [Phi-4-mini-instruct-Q5_K_S.gguf](https://huggingface.co/second-state/Phi-4-mini-instruct-GGUF/blob/main/Phi-4-mini-instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 2.73 GB| large, low quality loss - recommended |
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| [Phi-4-mini-instruct-Q6_K.gguf](https://huggingface.co/second-state/Phi-4-mini-instruct-GGUF/blob/main/Phi-4-mini-instruct-Q6_K.gguf) | Q6_K | 6 | 3.16 GB| very large, extremely low quality loss |
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| [Phi-4-mini-instruct-Q8_0.gguf](https://huggingface.co/second-state/Phi-4-mini-instruct-GGUF/blob/main/Phi-4-mini-instruct-Q8_0.gguf) | Q8_0 | 8 | 4.08 GB| very large, extremely low quality loss - not recommended |
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| [Phi-4-mini-instruct-f16.gguf](https://huggingface.co/second-state/Phi-4-mini-instruct-GGUF/blob/main/Phi-4-mini-instruct-f16.gguf) | f16 | 16 | 7.68 GB| |
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*Quantized with llama.cpp b4792.*
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config.json
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{
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"_name_or_path": "Phi-4-mini-instruct",
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"architectures": [
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"Phi3ForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"auto_map": {
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"AutoConfig": "configuration_phi3.Phi3Config",
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"AutoModelForCausalLM": "modeling_phi3.Phi3ForCausalLM",
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"AutoTokenizer": "Xenova/gpt-4o"
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},
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"bos_token_id": 199999,
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"embd_pdrop": 0.0,
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"eos_token_id": 199999,
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"full_attn_mod": 1,
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"hidden_act": "silu",
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"hidden_size": 3072,
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"initializer_range": 0.02,
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"intermediate_size": 8192,
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"interpolate_factor": 1,
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"lm_head_bias": false,
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"max_position_embeddings": 131072,
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"mlp_bias": false,
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"model_type": "phi3",
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"num_attention_heads": 24,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"original_max_position_embeddings": 4096,
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"pad_token_id": 199999,
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"partial_rotary_factor": 0.75,
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"resid_pdrop": 0.0,
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"long_factor": [
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1,
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||||||
|
1.118320672,
|
||||||
|
1.250641126,
|
||||||
|
1.398617824,
|
||||||
|
1.564103225,
|
||||||
|
1.74916897,
|
||||||
|
1.956131817,
|
||||||
|
2.187582649,
|
||||||
|
2.446418898,
|
||||||
|
2.735880826,
|
||||||
|
3.059592084,
|
||||||
|
3.421605075,
|
||||||
|
3.826451687,
|
||||||
|
4.279200023,
|
||||||
|
4.785517845,
|
||||||
|
5.351743533,
|
||||||
|
5.984965424,
|
||||||
|
6.693110555,
|
||||||
|
7.485043894,
|
||||||
|
8.370679318,
|
||||||
|
9.36110372,
|
||||||
|
10.4687158,
|
||||||
|
11.70738129,
|
||||||
|
13.09260651,
|
||||||
|
14.64173252,
|
||||||
|
16.37415215,
|
||||||
|
18.31155283,
|
||||||
|
20.47818807,
|
||||||
|
22.90118105,
|
||||||
|
25.61086418,
|
||||||
|
28.64115884,
|
||||||
|
32.03,
|
||||||
|
32.1,
|
||||||
|
32.13,
|
||||||
|
32.23,
|
||||||
|
32.6,
|
||||||
|
32.61,
|
||||||
|
32.64,
|
||||||
|
32.66,
|
||||||
|
32.7,
|
||||||
|
32.71,
|
||||||
|
32.93,
|
||||||
|
32.97,
|
||||||
|
33.28,
|
||||||
|
33.49,
|
||||||
|
33.5,
|
||||||
|
44.16,
|
||||||
|
47.77
|
||||||
|
],
|
||||||
|
"short_factor": [
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0,
|
||||||
|
1.0
|
||||||
|
],
|
||||||
|
"type": "longrope"
|
||||||
|
},
|
||||||
|
"rope_theta": 10000.0,
|
||||||
|
"sliding_window": 262144,
|
||||||
|
"tie_word_embeddings": true,
|
||||||
|
"torch_dtype": "bfloat16",
|
||||||
|
"transformers_version": "4.45.0",
|
||||||
|
"use_cache": true,
|
||||||
|
"vocab_size": 200064
|
||||||
|
}
|
||||||
Reference in New Issue
Block a user