--- library_name: transformers license: apache-2.0 datasets: - OpenAssistant/oasst2 - nvidia/HelpSteer language: - en - ja tags: - mixtral - steerlm - TensorBlock - GGUF base_model: karakuri-ai/karakuri-lm-8x7b-chat-v0.1 model-index: - name: karakuri-ai/karakuri-lm-8x7b-chat-v0.1 results: - task: type: text-generation name: Text Generation dataset: name: MT-Bench type: unknown metrics: - type: unknown value: 7.39375 name: score - type: unknown value: 7.540625 name: score source: url: https://huggingface.co/spaces/lmsys/mt-bench ---
TensorBlock

Feedback and support: TensorBlock's Twitter/X, Telegram Group and Discord server

## karakuri-ai/karakuri-lm-8x7b-chat-v0.1 - GGUF This repo contains GGUF format model files for [karakuri-ai/karakuri-lm-8x7b-chat-v0.1](https://huggingface.co/karakuri-ai/karakuri-lm-8x7b-chat-v0.1). The files were quantized using machines provided by [TensorBlock](https://tensorblock.co/), and they are compatible with llama.cpp as of [commit b4242](https://github.com/ggerganov/llama.cpp/commit/a6744e43e80f4be6398fc7733a01642c846dce1d).
Run them on the TensorBlock client using your local machine ↗
## Prompt template ``` [INST] <> {system_prompt} <> {prompt} [ATTR] helpfulness: 4 correctness: 4 coherence: 4 complexity: 4 verbosity: 4 quality: 4 toxicity: 0 humor: 0 creativity: 0 [/ATTR] [/INST] ``` ## Model file specification | Filename | Quant type | File Size | Description | | -------- | ---------- | --------- | ----------- | | [karakuri-lm-8x7b-chat-v0.1-Q2_K.gguf](https://huggingface.co/tensorblock/karakuri-lm-8x7b-chat-v0.1-GGUF/blob/main/karakuri-lm-8x7b-chat-v0.1-Q2_K.gguf) | Q2_K | 17.311 GB | smallest, significant quality loss - not recommended for most purposes | | [karakuri-lm-8x7b-chat-v0.1-Q3_K_S.gguf](https://huggingface.co/tensorblock/karakuri-lm-8x7b-chat-v0.1-GGUF/blob/main/karakuri-lm-8x7b-chat-v0.1-Q3_K_S.gguf) | Q3_K_S | 20.433 GB | very small, high quality loss | | [karakuri-lm-8x7b-chat-v0.1-Q3_K_M.gguf](https://huggingface.co/tensorblock/karakuri-lm-8x7b-chat-v0.1-GGUF/blob/main/karakuri-lm-8x7b-chat-v0.1-Q3_K_M.gguf) | Q3_K_M | 22.546 GB | very small, high quality loss | | [karakuri-lm-8x7b-chat-v0.1-Q3_K_L.gguf](https://huggingface.co/tensorblock/karakuri-lm-8x7b-chat-v0.1-GGUF/blob/main/karakuri-lm-8x7b-chat-v0.1-Q3_K_L.gguf) | Q3_K_L | 24.170 GB | small, substantial quality loss | | [karakuri-lm-8x7b-chat-v0.1-Q4_0.gguf](https://huggingface.co/tensorblock/karakuri-lm-8x7b-chat-v0.1-GGUF/blob/main/karakuri-lm-8x7b-chat-v0.1-Q4_0.gguf) | Q4_0 | 26.444 GB | legacy; small, very high quality loss - prefer using Q3_K_M | | [karakuri-lm-8x7b-chat-v0.1-Q4_K_S.gguf](https://huggingface.co/tensorblock/karakuri-lm-8x7b-chat-v0.1-GGUF/blob/main/karakuri-lm-8x7b-chat-v0.1-Q4_K_S.gguf) | Q4_K_S | 26.746 GB | small, greater quality loss | | [karakuri-lm-8x7b-chat-v0.1-Q4_K_M.gguf](https://huggingface.co/tensorblock/karakuri-lm-8x7b-chat-v0.1-GGUF/blob/main/karakuri-lm-8x7b-chat-v0.1-Q4_K_M.gguf) | Q4_K_M | 28.448 GB | medium, balanced quality - recommended | | [karakuri-lm-8x7b-chat-v0.1-Q5_0.gguf](https://huggingface.co/tensorblock/karakuri-lm-8x7b-chat-v0.1-GGUF/blob/main/karakuri-lm-8x7b-chat-v0.1-Q5_0.gguf) | Q5_0 | 32.231 GB | legacy; medium, balanced quality - prefer using Q4_K_M | | [karakuri-lm-8x7b-chat-v0.1-Q5_K_S.gguf](https://huggingface.co/tensorblock/karakuri-lm-8x7b-chat-v0.1-GGUF/blob/main/karakuri-lm-8x7b-chat-v0.1-Q5_K_S.gguf) | Q5_K_S | 32.231 GB | large, low quality loss - recommended | | [karakuri-lm-8x7b-chat-v0.1-Q5_K_M.gguf](https://huggingface.co/tensorblock/karakuri-lm-8x7b-chat-v0.1-GGUF/blob/main/karakuri-lm-8x7b-chat-v0.1-Q5_K_M.gguf) | Q5_K_M | 33.230 GB | large, very low quality loss - recommended | | [karakuri-lm-8x7b-chat-v0.1-Q6_K.gguf](https://huggingface.co/tensorblock/karakuri-lm-8x7b-chat-v0.1-GGUF/blob/main/karakuri-lm-8x7b-chat-v0.1-Q6_K.gguf) | Q6_K | 38.381 GB | very large, extremely low quality loss | | [karakuri-lm-8x7b-chat-v0.1-Q8_0.gguf](https://huggingface.co/tensorblock/karakuri-lm-8x7b-chat-v0.1-GGUF/blob/main/karakuri-lm-8x7b-chat-v0.1-Q8_0.gguf) | Q8_0 | 49.626 GB | very large, extremely low quality loss - not recommended | ## Downloading instruction ### Command line Firstly, install Huggingface Client ```shell pip install -U "huggingface_hub[cli]" ``` Then, downoad the individual model file the a local directory ```shell huggingface-cli download tensorblock/karakuri-lm-8x7b-chat-v0.1-GGUF --include "karakuri-lm-8x7b-chat-v0.1-Q2_K.gguf" --local-dir MY_LOCAL_DIR ``` If you wanna download multiple model files with a pattern (e.g., `*Q4_K*gguf`), you can try: ```shell huggingface-cli download tensorblock/karakuri-lm-8x7b-chat-v0.1-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf' ```