Text Generation
Transformers
Hindi
English
india
hindi
code-assistant
chat-assistant
instruction-tuned
Eval Results (legacy)
Instructions to use Harshsfd/Bot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Harshsfd/Bot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Harshsfd/Bot")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Harshsfd/Bot", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Harshsfd/Bot with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Harshsfd/Bot" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Harshsfd/Bot", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Harshsfd/Bot
- SGLang
How to use Harshsfd/Bot with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Harshsfd/Bot" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Harshsfd/Bot", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Harshsfd/Bot" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Harshsfd/Bot", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Harshsfd/Bot with Docker Model Runner:
docker model run hf.co/Harshsfd/Bot
metadata
license: apache-2.0
language:
- hi
- en
library_name: transformers
pipeline_tag: text-generation
base_model:
- mistralai/Mistral-7B-Instruct-v0.3
metrics:
- perplexity
- mt-bench
- bleu
datasets:
- openhermes
- hindi_qa_custom
tags:
- india
- hindi
- code-assistant
- chat-assistant
- instruction-tuned
model-index:
- name: Harshsfd/Bot
results:
- task:
name: Text Generation
type: text-generation
dataset:
name: OpenHermes (subset)
type: openhermes
metrics:
- name: Perplexity
type: perplexity
value: 11.8
std: 0.4
verified: false
- name: MT-Bench (instruct)
type: mt-bench
value: 7.2
std: 0.2
verified: false