Transformers
PyTorch
Safetensors
GGUF
Bengali
mistral
text-generation-inference
unsloth
trl
sft
8-bit precision
Instructions to use barunsaha/misti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use barunsaha/misti with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("barunsaha/misti", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use barunsaha/misti with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf barunsaha/misti:Q4_K_M # Run inference directly in the terminal: llama cli -hf barunsaha/misti:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf barunsaha/misti:Q4_K_M # Run inference directly in the terminal: llama cli -hf barunsaha/misti:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf barunsaha/misti:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf barunsaha/misti:Q4_K_M
Use Docker
docker model run hf.co/barunsaha/misti:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use barunsaha/misti with Ollama:
ollama run hf.co/barunsaha/misti:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use barunsaha/misti with Docker Model Runner:
docker model run hf.co/barunsaha/misti:Q4_K_M
- Lemonade
How to use barunsaha/misti with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull barunsaha/misti:Q4_K_M
Run and chat with the model
lemonade run user.misti-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download tokenizer_config.json from barunsaha/misti: direct link, hf CLI and curl.
- Browser
- Download file 970 Bytes
-
https://huggingface.co/barunsaha/misti/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://barunsaha/misti/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/barunsaha/misti/resolve/main/tokenizer_config.json
970 Bytes
| { | |
| "add_bos_token": true, | |
| "add_eos_token": false, | |
| "added_tokens_decoder": { | |
| "0": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "1": { | |
| "content": "<s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "2": { | |
| "content": "</s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "additional_special_tokens": [], | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "</s>", | |
| "legacy": true, | |
| "model_max_length": 32768, | |
| "pad_token": "<unk>", | |
| "padding_side": "left", | |
| "sp_model_kwargs": {}, | |
| "spaces_between_special_tokens": false, | |
| "tokenizer_class": "LlamaTokenizer", | |
| "unk_token": "<unk>", | |
| "use_default_system_prompt": false | |
| } | |