license, base_model, library_name, pipeline_tag, tags, datasets

license	base_model	library_name	pipeline_tag	tags	datasets
other	artificialguybr/LLAMA-3.2-1B-OpenHermes2.5 dphn/Dolphin3.0-Llama3.2-1B meta-llama/Llama-3.2-1B-Instruct	transformers	text-generation	llama mergekit merge slerp text-generation code instruct	OpenCoder-LLM/opc-sft-stage1 OpenCoder-LLM/opc-sft-stage2 microsoft/orca-agentinstruct-1M-v1 microsoft/orca-math-word-problems-200k NousResearch/hermes-function-calling-v1 AI-MO/NuminaMath-CoT AI-MO/NuminaMath-TIR allenai/tulu-3-sft-mixture HuggingFaceTB/smoltalk m-a-p/CodeFeedback-Filtered-Instruction m-a-p/Code-Feedback teknium/OpenHermes-2.5

Llama-3.2-HermesDolphin-Coder-1B

Llama-3.2-HermesDolphin-Coder-1B is a compact merged language model designed for general instruction following, coding assistance, and lightweight conversational use. It combines Hermes-style instruction tuning and Dolphin-style helpfulness into a small Llama 3.2 class model intended for experimentation, local workflows, and developer-oriented prompting.

This repository appears to be a merge model created with mergekit using the SLERP merge method.

Model Summary

• Model type: Causal language model
• Architecture: LlamaForCausalLM
• Primary use: Text generation, instruction following, code-oriented prompting
• Library: Transformers
• Merge method: SLERP
• Format: Safetensors

Base Models

This merged model is based on:

• artificialguybr/LLAMA-3.2-1B-OpenHermes2.5
• dphn/Dolphin3.0-Llama3.2-1B
• meta-llama/Llama-3.2-1B-Instruct

Merge Details

According to the repository metadata/configuration, the merge was produced with mergekit using a SLERP setup with a midpoint interpolation parameter.

Merge configuration

merge_method: slerp
base_model: artificialguybr/LLAMA-3.2-1B-OpenHermes2.5
models:
  - model: dphn/Dolphin3.0-Llama3.2-1B
    parameters:
      weight: 1.0
dtype: float32
parameters:
  t: 0.5