yi-large vs Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking_GGUF

import { pipeline } from '@huggingface/transformers';

const generator = await pipeline('text-generation', '01-ai/yi-large');
const output = await generator('Hello, I am a language model', { max_new_tokens: 50 });

// Using Hugging Face Inference API
import "github.com/hupe1980/go-huggingface"

client := huggingface.NewInferenceClient("HF_API_TOKEN")
ic, err := client.TextGeneration(context.Background(), &huggingface.TextGenerationRequest{
	Model: "01-ai/yi-large",
	Inputs: "Hello, I am a language model",
})

// Using HF candle crate
use candle_transformers::models::llama;

let api = Api::new()?;
let repo = api.model("01-ai/yi-large".to_string());

// Load model using llama.cpp
#include "llama.h"

llama_model_params model_params = llama_model_default_params();
llama_model* model = llama_model_load_from_file("01-ai/yi-large.gguf", model_params);

<?php
// Call HF Inference API for text generation
$ch = curl_init("https://api-inference.huggingface.co/models/01-ai/yi-large");
curl_setopt($ch, CURLOPT_HTTPHEADER, ["Authorization: Bearer HF_API_TOKEN"]);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode(["inputs" => "Hello, I am a language model"]));

import { pipeline } from '@huggingface/transformers';

const generator = await pipeline('text-generation', 'Andycurrent/Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking_GGUF');
const output = await generator('Hello, I am a language model', { max_new_tokens: 50 });

// Using Hugging Face Inference API
import "github.com/hupe1980/go-huggingface"

client := huggingface.NewInferenceClient("HF_API_TOKEN")
ic, err := client.TextGeneration(context.Background(), &huggingface.TextGenerationRequest{
	Model: "Andycurrent/Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking_GGUF",
	Inputs: "Hello, I am a language model",
})

// Using HF candle crate
use candle_transformers::models::llama;

let api = Api::new()?;
let repo = api.model("Andycurrent/Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking_GGUF".to_string());

// Load model using llama.cpp
#include "llama.h"

llama_model_params model_params = llama_model_default_params();
llama_model* model = llama_model_load_from_file("Andycurrent/Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking_GGUF.gguf", model_params);

<?php
// Call HF Inference API for text generation
$ch = curl_init("https://api-inference.huggingface.co/models/Andycurrent/Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking_GGUF");
curl_setopt($ch, CURLOPT_HTTPHEADER, ["Authorization: Bearer HF_API_TOKEN"]);
curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode(["inputs" => "Hello, I am a language model"]));