Downloads · 30 days
7
11% of all-time downloads
Llama-2-7b-hf-function-calling-adapters
RonanMcGovern/Llama-2-7b-hf-function-calling-adapters
Llama-2-7b-hf-function-calling-adapters is a machine learning model from RonanMcGovern. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
The following bitsandbytes quantization config was used during training: - loadin8bit: False - loadin4bit: True - llmint8threshold: 6.0 - llmint8skipmodules: None - llmint8enablefp32cpuoffload: False - llmint8hasfp16w…
All-time downloads
61
Public
Repo size
67.2 MB
Likes
1
Public
Repo makeup
Click a slice to open those files.
.bin67.2 MB · 100%
At a glance
- Library
- peft
- Access
- Public
- Created
- Aug 15, 2023
- Updated
- Sep 19, 2023
- SHA
- 1d18932b
Base models
Model card
From the Hugging Face model README
Training procedure
The following bitsandbytes quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: True
- bnb_4bit_compute_dtype: bfloat16
The following bitsandbytes quantization config was used during training:
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: True
- bnb_4bit_compute_dtype: bfloat16
Framework versions
-
PEFT 0.5.0.dev0
-
PEFT 0.5.0.dev0
- Library
- peft
- Created
- Aug 15, 2023
- Updated
- Sep 19, 2023