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rustformers/dolly-v2-ggml
dolly-v2-ggml is a text generation model from rustformers. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
Dolly is trained on ~15k instruction/response fine tuning records databricks-dolly-15k generated by Databricks employees in capability domains from the InstructGPT paper, including brainstorming, classification, close…
Downloads · 30 days
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.bin81.6 GB · 100%
From the Hugging Face model README
Dolly is trained on ~15k instruction/response fine tuning records databricks-dolly-15k generated by Databricks employees in capability domains from the InstructGPT paper, including brainstorming, classification, closed QA, generation, information extraction, open QA and summarization.
| Name | Based on | Type | Container | GGML Version |
|---|---|---|---|---|
| dolly-v2-12b-f16.bin | databricks/dolly-v2-12b | F16 | GGML | V3 |
| dolly-v2-12b-q4_0.bin | databricks/dolly-v2-12b | Q4_0 | GGML | V3 |
| dolly-v2-12b-q4_0-ggjt.bin | databricks/dolly-v2-12b | Q4_0 | GGJT | V3 |
| dolly-v2-3b-f16.bin | databricks/dolly-v2-3b | F16 | GGML | V3 |
| dolly-v2-3b-q4_0.bin | databricks/dolly-v2-3b | Q4_0 | GGML | V3 |
| dolly-v2-3b-q4_0-ggjt.bin | databricks/dolly-v2-3b | Q4_0 | GGJT | V3 |
| dolly-v2-3b-q5_1.bin | databricks/dolly-v2-3b | Q5_1 | GGML | V3 |
| dolly-v2-3b-q5_1-ggjt.bin | databricks/dolly-v2-3b | Q5_1 | GGJT | V3 |
| dolly-v2-7b-f16.bin | databricks/dolly-v2-7b | F16 | GGML | V3 |
| dolly-v2-7b-q4_0.bin | databricks/dolly-v2-7b | Q4_0 | GGML | V3 |
| dolly-v2-7b-q4_0-ggjt.bin | databricks/dolly-v2-7b | Q4_0 | GGJT | V3 |
| dolly-v2-7b-q5_1.bin | databricks/dolly-v2-7b | Q5_1 | GGML | V3 |
| dolly-v2-7b-q5_1-ggjt.bin | databricks/dolly-v2-7b | Q5_1 | GGJT | V3 |
Via pip: pip install llm-rs
from llm_rs import AutoModel
#Load the model, define any model you like from the list above as the `model_file`
model = AutoModel.from_pretrained("rustformers/dolly-v2-ggml",model_file="dolly-v2-12b-q4_0-ggjt.bin")
#Generate
print(model.generate("The meaning of life is"))
git clone --recurse-submodules https://github.com/rustformers/llm.git
cd llm
cargo build --release
cargo run --release -- gptneox infer -m path/to/model.bin -p "Tell me how cool the Rust programming language is:"