metadata

base_model: NickyNicky/gemma-1.1-2b-it_oasst_format_chatML_unsloth_V1_function_calling_V2
datasets:
  - hiyouga/glaive-function-calling-v2-sharegpt
  - NickyNicky/function-calling_chatml_gemma_v1
inference: false
language:
  - en
library_name: transformers
license: apache-2.0
model:
  - google/gemma-1.1-2b-it
model_creator: NickyNicky
model_name: gemma-1.1-2b-it_oasst_format_chatML_unsloth_V1_function_calling_V2
pipeline_tag: text-generation
quantized_by: afrideva
tags:
  - gguf
  - ggml
  - quantized
  - q2_k
  - q3_k_m
  - q4_k_m
  - q5_k_m
  - q6_k
  - q8_0
widget:
  - text: |
      <bos><start_of_turn>system
      You are a helpful AI assistant.<end_of_turn>
      <start_of_turn>user
      {question}<end_of_turn>
      <start_of_turn>model

NickyNicky/gemma-1.1-2b-it_oasst_format_chatML_unsloth_V1_function_calling_V2-GGUF

Quantized GGUF model files for gemma-1.1-2b-it_oasst_format_chatML_unsloth_V1_function_calling_V2 from NickyNicky

Name	Quant method	Size
gemma-1.1-2b-it_oasst_format_chatml_unsloth_v1_function_calling_v2.fp16.gguf	fp16	5.02 GB
gemma-1.1-2b-it_oasst_format_chatml_unsloth_v1_function_calling_v2.q2_k.gguf	q2_k	1.16 GB
gemma-1.1-2b-it_oasst_format_chatml_unsloth_v1_function_calling_v2.q3_k_m.gguf	q3_k_m	1.38 GB
gemma-1.1-2b-it_oasst_format_chatml_unsloth_v1_function_calling_v2.q4_k_m.gguf	q4_k_m	1.63 GB
gemma-1.1-2b-it_oasst_format_chatml_unsloth_v1_function_calling_v2.q5_k_m.gguf	q5_k_m	1.84 GB
gemma-1.1-2b-it_oasst_format_chatml_unsloth_v1_function_calling_v2.q6_k.gguf	q6_k	2.06 GB
gemma-1.1-2b-it_oasst_format_chatml_unsloth_v1_function_calling_v2.q8_0.gguf	q8_0	2.67 GB

Original Model Card:

Metrics.

interrupted execution no TrainOutput

Take dataset.

hiyouga/glaive-function-calling-v2-sharegpt

Dataset format gemma fine tune.

NickyNicky/function-calling_chatml_gemma_v1

colab examples and Gradio.

https://colab.research.google.com/drive/1an2D2C3VNs32UV9kWlXEPJjio0uJN6nW?usp=sharing