Bielik-Minitron-7B-v3.0-Instruct-GGUF

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Bielik-11B-v3.0-Instruct-GGUF

This repo contains GGUF format model files for SpeakLeash's Bielik-Minitron-7B-v3.0-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.
• 16bit: Converted to FP16 and BF16 GGUF format.

Ollama Modfile

The GGUF file can be used with Ollama. To do this, you need to import the model using the configuration defined in the Modfile. For model eg. Bielik-Minitron-7B-v3.0-Instruct.Q4_K_M.gguf (full path to model location) Modfile looks like:

FROM ./Bielik-Minitron-7B-v3.0-Instruct.Q4_K_M.gguf

TEMPLATE """<s>
{{- range .Messages }}<|im_start|>{{ .Role }}
{{ .Content }}<|im_end|>
{{ end }}<|im_start|>assistant
"""

PARAMETER stop "<|im_end|>"
PARAMETER stop "<|im_start|>"

# Remeber to set low temperature for experimental models (1-3bits)
PARAMETER temperature 0.1

Ollama Modfile with tools:

FROM ./Bielik-Minitron-7B-v3.0-Instruct.Q8_0.gguf

TEMPLATE """{{ if .Tools }}<|im_start|>system
{{ if .System }}{{ .System }}

{{ end }}You are provided with tool signatures that you can use to assist with the user's query. You do not have to use a tool if you can respond adequately without it. Do not make assumptions about the values to use in tool calls. If the user's message is missing required parameters or if you do not have an appropriate tool to fulfill the request, inform the user or ask for clarification instead of attempting to call any tools.

If you decide to invoke a tool, you MUST use the following JSON format:
`<tool_call>{"name": <tool-name>, "arguments": <args-dict>}</tool_call>`

Below is a list of tools in JSON format that you can invoke:{{ range .Tools }}

{{ json . }}{{ end }}
<|im_end|>
{{ else if .System }}<|im_start|>system
{{ .System }}<|im_end|>
{{ end }}{{ range $msg := .Messages }}{{ if ne $msg.Role "system" }}<|im_start|>{{ $msg.Role }}
{{ if $msg.ToolCalls }}{{ $msg.Content }}{{ range $msg.ToolCalls }}<tool_call>{"name":"{{ .Function.Name }}","arguments":{{ json .Function.Arguments }}}</tool_call>
{{ end }}{{ else }}{{ $msg.Content }}{{ end }}<|im_end|>
{{ end }}{{ end }}<|im_start|>assistant
{{ if .ToolCalls }}<tool_call>{{ end }}"""
PARAMETER stop "<|im_end|>"
PARAMETER stop "<|im_start|>"
PARAMETER temperature 0.1

Model description:

• Developed by: SpeakLeash & ACK Cyfronet AGH
• Language: Multilingual (32 European languages, optimized for Polish)
• Model type: causal decoder-only
• Quant from: Bielik-Minitron-7B-v3.0-Instruct
• Finetuned from: speakleash/Bielik-Minitron-7B-v3.0
• License: Apache 2.0

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. The source project for GGUF. Offers a CLI and a server option.
• text-generation-webui, the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration.
• KoboldCpp, a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling.
• GPT4All, a free and open source local running GUI, supporting Windows, Linux and macOS with full GPU accel.
• LM Studio, an easy-to-use and powerful local GUI for Windows, macOS (Silicon) and Linux, with GPU acceleration
• LoLLMS Web UI, a great web UI with many interesting and unique features, including a full model library for easy model selection.
• 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, a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
• candle, a Rust ML framework with a focus on performance, including GPU support, and ease of use.
• 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^SpeakLeash - team leadership, conceptualizing, calibration data preparation, process creation and quantized model delivery.
• Kuba Sołtys^SpeakLeash - prepared a template with tools for Ollama
• Szymon Baczyński^SpeakLeash - team assistant

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.