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This model is a finetuning of other models based on mistralai/Mistral-7B-v0.1.
Model Details
Model Description
The model has been generated from the merging of the models viethq188/LeoScorpius-7B-Chat-DPO and GreenNode/GreenNodeLM-7B-v1olet and a later finetuning with an Alpaca dataset tatsu-lab/alpaca.
- Developed by: Ignos
- Model type: Mistral
- License: Apache-2.0
Uses
Model created for the comparison of behaviors and metrics with respect to the base model, as well as the comparison with other models that using the same base have been finetuning on other different datasets.
Bias, Risks, and Limitations
The same bias, risks and limitations from base models.
Training Details
Training Data
Training Procedure
- Training with QLoRA approach and merging with base model.
Results
- Huggingface evaluation pending
Summary
Technical Specifications
Model Architecture and Objective
- Models based on Mistral Architecture
Compute Infrastructure
- Training on RunPod
Hardware
- 4 x Nvidia RTX 4090
- 64 vCPU 503 GB RAM
Software
- Mergekit (main)
- Axolotl 0.3.0
Training procedure
The following bitsandbytes quantization config was used during training:
- quant_method: bitsandbytes
- 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 0.6.0
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