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README_TEMPLATE.md ADDED
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+ ---
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+ license: bigscience-bloom-rail-1.0
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+ language:
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+ - ak
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+ - ar
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+ - as
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+ - bm
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+ - bn
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+ - ca
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+ - code
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+ - en
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+ - es
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+ - eu
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+ - fon
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+ - fr
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+ - gu
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+ - hi
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+ - id
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+ - ig
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+ - ki
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+ - kn
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+ - lg
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+ - ln
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+ - ml
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+ - mr
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+ - ne
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+ - nso
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+ - ny
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+ - or
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+ - pa
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+ - pt
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+ - rn
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+ - rw
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+ - sn
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+ - st
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+ - sw
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+ - ta
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+ - te
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+ - tn
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+ - ts
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+ - tum
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+ - tw
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+ - ur
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+ - vi
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+ - wo
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+ - xh
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+ - yo
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+ - zh
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+ - zu
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+ programming_language:
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+ - C
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+ - C++
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+ - C#
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+ - Go
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+ - Java
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+ - JavaScript
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+ - Lua
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+ - PHP
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+ - Python
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+ - Ruby
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+ - Rust
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+ - Scala
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+ - TypeScript
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+ tags:
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+ - llm-rs
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+ - ggml
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+ pipeline_tag: text-generation
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+ ---
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+
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+ # GGML covnerted Models of [BigScience](https://huggingface.co/bigscience)'s Bloom models
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+
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+ ## Description
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+
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+ BLOOM is an autoregressive Large Language Model (LLM), trained to continue text from a prompt on vast amounts of text data using industrial-scale computational resources. As such, it is able to output coherent text in 46 languages and 13 programming languages that is hardly distinguishable from text written by humans. BLOOM can also be instructed to perform text tasks it hasn't been explicitly trained for, by casting them as text generation tasks.
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+
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+
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+ ## Converted Models
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+ $MODELS$
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+
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+ ## Usage
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+
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+ ### Python via [llm-rs](https://github.com/LLukas22/llm-rs-python):
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+
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+ #### Installation
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+ Via pip: `pip install llm-rs`
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+
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+ #### Run inference
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+ ```python
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+ from llm_rs import AutoModel
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+
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+ #Load the model, define any model you like from the list above as the `model_file`
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+ model = AutoModel.from_pretrained("rustformers/bloom-ggml",model_file="bloom-3b-q4_0-ggjt.bin")
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+
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+ #Generate
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+ print(model.generate("The meaning of life is"))
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+ ```
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+
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+ ### Rust via [Rustformers/llm](https://github.com/rustformers/llm):
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+
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+ #### Installation
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+ ```
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+ git clone --recurse-submodules https://github.com/rustformers/llm.git
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+ cd llm
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+ cargo build --release
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+ ```
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+
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+ #### Run inference
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+ ```
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+ cargo run --release -- bloom infer -m path/to/model.bin -p "Tell me how cool the Rust programming language is:"
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+ ```
config.json ADDED
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+ {"repo_type": "GGML"}