Bielik-11B-v2.2-Instruct-GGUF-IQ-Imatrix

Available quantization formats:

• IQ1_M: (1.75bit) Extremely low quality, not recommended.
• IQ2_XXS: Lower quality, uses SOTA techniques to be usable.
• IQ3_XXS: Lower quality, new method with decent performance, comparable to Q3 quants.
• IQ4_XS: Decent quality, smaller than Q4_K_S with similar performance, recommended.
• 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

FROM ./Bielik-11B-v2.2-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 & ACK Cyfronet AGH
• Language: Polish
• Model type: causal decoder-only
• Quant from: Bielik-11B-v2.2-Instruct
• Finetuned from: Bielik-11B-v2
• License: Apache 2.0 and Terms of Use

About 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.

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