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dbands_-_tantrum_16bit-gguf
RichardErkhov/dbands_-_tantrum_16bit-gguf
dbands_-_tantrum_16bit-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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At a glance
- Access
- Public
- Created
- Aug 17, 2024
- Updated
- Aug 17, 2024
- SHA
- 873838f8
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
tantrum_16bit - GGUF
- Model creator: https://huggingface.co/dbands/
- Original model: https://huggingface.co/dbands/tantrum_16bit/
| Name | Quant method | Size |
|---|---|---|
| tantrum_16bit.Q2_K.gguf | Q2_K | 2.81GB |
| tantrum_16bit.IQ3_XS.gguf | IQ3_XS | 3.12GB |
| tantrum_16bit.IQ3_S.gguf | IQ3_S | 3.26GB |
| tantrum_16bit.Q3_K_S.gguf | Q3_K_S | 3.25GB |
| tantrum_16bit.IQ3_M.gguf | IQ3_M | 3.33GB |
| tantrum_16bit.Q3_K.gguf | Q3_K | 3.55GB |
| tantrum_16bit.Q3_K_M.gguf | Q3_K_M | 0.96GB |
| tantrum_16bit.Q3_K_L.gguf | Q3_K_L | 3.81GB |
| tantrum_16bit.IQ4_XS.gguf | IQ4_XS | 3.96GB |
| tantrum_16bit.Q4_0.gguf | Q4_0 | 4.13GB |
| tantrum_16bit.IQ4_NL.gguf | IQ4_NL | 4.16GB |
| tantrum_16bit.Q4_K_S.gguf | Q4_K_S | 4.15GB |
| tantrum_16bit.Q4_K.gguf | Q4_K | 4.36GB |
| tantrum_16bit.Q4_K_M.gguf | Q4_K_M | 4.36GB |
| tantrum_16bit.Q4_1.gguf | Q4_1 | 4.54GB |
| tantrum_16bit.Q5_0.gguf | Q5_0 | 4.95GB |
| tantrum_16bit.Q5_K_S.gguf | Q5_K_S | 4.95GB |
| tantrum_16bit.Q5_K.gguf | Q5_K | 5.07GB |
| tantrum_16bit.Q5_K_M.gguf | Q5_K_M | 5.07GB |
| tantrum_16bit.Q5_1.gguf | Q5_1 | 5.36GB |
| tantrum_16bit.Q6_K.gguf | Q6_K | 5.82GB |
| tantrum_16bit.Q8_0.gguf | Q8_0 | 7.54GB |
Original model description:
base_model: cognitivecomputations/dolphin-2.9.2-qwen2-7b language:
- en license: apache-2.0 tags:
- text-generation-inference
- transformers
- unsloth
- qwen2
- trl datasets:
- dbands/ScoredPythonInstruct
I created this model with the primary intent to review python code. This is a continued work in progress and I will update as time moves on.
Provide the model with python code and it will provide an analysis, which will include suggestions to improve the code.
This model can be used to generate prompts to in turn generate "clean" synthetic code bases for fine tuning models that generate python code for tool use.
base_model: cognitivecomputations/dolphin-2.9.2-qwen2-7b language:
- en license: apache-2.0 tags:
- text-generation-inference
- transformers
- unsloth
- qwen2
- trl
Uploaded model
- Developed by: dbands
- License: apache-2.0
- Finetuned from model : cognitivecomputations/dolphin-2.9.2-qwen2-7b
This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.
- Created
- Aug 17, 2024
- Updated
- Aug 17, 2024