---
license: other
base_model:
  - artificialguybr/LLAMA-3.2-1B-OpenHermes2.5
  - dphn/Dolphin3.0-Llama3.2-1B
  - meta-llama/Llama-3.2-1B-Instruct
library_name: transformers
pipeline_tag: text-generation
tags:
  - llama
  - mergekit
  - merge
  - slerp
  - text-generation
  - code
  - instruct
datasets:
  - 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

```yaml
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