|
--- |
|
language: |
|
- pl |
|
license: apache-2.0 |
|
library_name: transformers |
|
tags: |
|
- finetuned |
|
- gguf |
|
inference: false |
|
pipeline_tag: text-generation |
|
base_model: speakleash/Bielik-11B-v2.3-Instruct |
|
--- |
|
|
|
<p align="center"> |
|
<img src="https://huggingface.co/speakleash/Bielik-7B-Instruct-v0.1-GGUF/raw/main/speakleash_cyfronet.png"> |
|
</p> |
|
|
|
# Bielik-11B-v2.3-Instruct-GGUF |
|
|
|
This repo contains GGUF format model files for [SpeakLeash](https://speakleash.org/)'s [Bielik-11B-v.2.3-Instruct](https://huggingface.co/speakleash/Bielik-11B-v2.3-Instruct). |
|
|
|
<b><u>DISCLAIMER: Be aware that quantised models show reduced response quality and possible hallucinations!</u></b><br> |
|
|
|
### Available quantization formats: |
|
* **q4_k_m:** Uses Q6_K for half of the attention.wv and feed_forward.w2 tensors, else Q4_K |
|
* **q5_k_m:** Uses Q6_K for half of the attention.wv and feed_forward.w2 tensors, else Q5_K |
|
* **q6_k:** Uses Q8_K for all tensors |
|
* **q8_0:** Almost indistinguishable from float16. High resource use and slow. Not recommended for most users. |
|
|
|
### Ollama Modfile |
|
The GGUF file can be used with [Ollama](https://ollama.com/). To do this, you need to import the model using the configuration defined in the Modfile. For model eg. Bielik-11B-v2.3-Instruct.Q4_K_M.gguf (full path to model location) Modfile looks like: |
|
|
|
``` |
|
FROM ./Bielik-11B-v2.3-Instruct.Q4_K_M.gguf |
|
|
|
TEMPLATE """<s>{{ if .System }}<|start_header_id|>system<|end_header_id|> |
|
|
|
{{ .System }}<|eot_id|>{{ end }}{{ if .Prompt }}<|start_header_id|>user<|end_header_id|> |
|
|
|
{{ .Prompt }}<|eot_id|>{{ end }}<|start_header_id|>assistant<|end_header_id|> |
|
|
|
{{ .Response }}<|eot_id|>""" |
|
|
|
PARAMETER stop "<|start_header_id|>" |
|
PARAMETER stop "<|end_header_id|>" |
|
PARAMETER stop "<|eot_id|>" |
|
|
|
# Remeber to set low temperature for experimental models (1-3bits) |
|
PARAMETER temperature 0.1 |
|
|
|
``` |
|
|
|
|
|
### Model description: |
|
|
|
* **Developed by:** [SpeakLeash](https://speakleash.org/) & [ACK Cyfronet AGH](https://www.cyfronet.pl/) |
|
* **Language:** Polish |
|
* **Model type:** causal decoder-only |
|
* **Quant from:** [Bielik-11B-v2.3-Instruct](https://huggingface.co/speakleash/Bielik-11B-v2.3-Instruct) |
|
* **Finetuned from:** [Bielik-11B-v2](https://huggingface.co/speakleash/Bielik-11B-v2) |
|
* **License:** Apache 2.0 and [Terms of Use](https://bielik.ai/terms/) |
|
|
|
### About GGUF |
|
|
|
GGUF is a new format introduced by the llama.cpp team on August 21st 2023. |
|
|
|
Here is an incomplete list of clients and libraries that are known to support GGUF: |
|
* [llama.cpp](https://github.com/ggerganov/llama.cpp). The source project for GGUF. Offers a CLI and a server option. |
|
* [text-generation-webui](https://github.com/oobabooga/text-generation-webui), the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration. |
|
* [KoboldCpp](https://github.com/LostRuins/koboldcpp), a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling. |
|
* [GPT4All](https://gpt4all.io/index.html), a free and open source local running GUI, supporting Windows, Linux and macOS with full GPU accel. |
|
* [LM Studio](https://lmstudio.ai/), an easy-to-use and powerful local GUI for Windows, macOS (Silicon) and Linux, with GPU acceleration |
|
* [LoLLMS Web UI](https://github.com/ParisNeo/lollms-webui), a great web UI with many interesting and unique features, including a full model library for easy model selection. |
|
* [Faraday.dev](https://faraday.dev/), an attractive and easy to use character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration. |
|
* [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), a Python library with GPU accel, LangChain support, and OpenAI-compatible API server. |
|
* [candle](https://github.com/huggingface/candle), a Rust ML framework with a focus on performance, including GPU support, and ease of use. |
|
* [ctransformers](https://github.com/marella/ctransformers), a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server. Note ctransformers has not been updated in a long time and does not support many recent models. |
|
|
|
### Responsible for model quantization |
|
* [Remigiusz Kinas](https://www.linkedin.com/in/remigiusz-kinas/)<sup>SpeakLeash</sup> - team leadership, conceptualizing, calibration data preparation, process creation and quantized model delivery. |
|
|
|
## Contact Us |
|
|
|
If you have any questions or suggestions, please use the discussion tab. If you want to contact us directly, join our [Discord SpeakLeash](https://discord.gg/CPBxPce4). |
