Phi 3.5 Mini Instruct Hermes Fc Json by vonjack

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Phi 3.5 Mini Instruct Hermes Fc Json is an open-source language model by vonjack. Features: LLM, VRAM: 0.1GB, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.17.

  4bit   Adapter Base model:quantized:unsloth/p... Base model:unsloth/phi-3.5-min...   Conversational Dataset:nousresearch/hermes-fu...   Endpoints compatible   Finetuned   Ggml   Gguf   Instruct   Lora   Q4   Quantized   Region:us   Safetensors

Phi 3.5 Mini Instruct Hermes Fc Json Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Phi 3.5 Mini Instruct Hermes Fc Json Parameters and Internals

LLM NamePhi 3.5 Mini Instruct Hermes Fc Json
Repository 🤗https://huggingface.co/vonjack/Phi-3.5-mini-instruct-hermes-fc-json 
Base Model(s)  unsloth/Phi-3.5-mini-instruct-bnb-4bit   unsloth/Phi-3.5-mini-instruct-bnb-4bit
Required VRAM0.1 GB
Updated2026-04-25
Maintainervonjack
Instruction-BasedYes
Model Files  0.1 GB   2.3 GB
GGML QuantizationYes
GGUF QuantizationYes
Quantization Typegguf|ggml|q4|4bit
Model ArchitectureAdapter
Licenseapache-2.0
Model Max Length131072
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesdown_proj|gate_proj|k_proj|q_proj|o_proj|up_proj|v_proj
LoRA Alpha16
LoRA Dropout0
R Param16

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Note: green Score (e.g. "73.2") means that the model is better than vonjack/Phi-3.5-mini-instruct-hermes-fc-json.

Rank the Phi 3.5 Mini Instruct Hermes Fc Json Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20260328a