Hapissss/csnara-assistant-llama-3.2-1b

TEXT GENERATIONConcurrent Unit Cost:1Model Size:1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Jul 9, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

The Hapissss/csnara-assistant-llama-3.2-1b is a 1 billion parameter Llama 3.2-based instruction-tuned model developed by Hapissss. This model was finetuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. With a 32768 token context length, it is optimized for assistant-like conversational tasks.

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Model Overview

The Hapissss/csnara-assistant-llama-3.2-1b is a 1 billion parameter language model developed by Hapissss. It is finetuned from the unsloth/llama-3.2-1b-instruct-unsloth-bnb-4bit base model, leveraging the Unsloth library for accelerated training.

Key Characteristics

  • Base Model: Llama 3.2-1b architecture.
  • Parameter Count: 1 billion parameters, offering a balance between performance and computational efficiency.
  • Training Efficiency: Utilizes Unsloth and Huggingface's TRL library, resulting in a 2x speedup during finetuning.
  • Context Length: Supports a substantial context window of 32768 tokens, suitable for handling longer interactions.
  • License: Distributed under the Apache-2.0 license.

Use Cases

This model is well-suited for applications requiring a compact yet capable instruction-following assistant. Its efficient training and Llama 3.2 base make it a strong candidate for:

  • General conversational AI.
  • Assistant-style interactions where a large context window is beneficial.
  • Deployment in environments with resource constraints, given its 1 billion parameter size.

Finetunes
1 models