MPT alibi fixes. (#1120)

* MPT alibi fixes.

* Some more fixes.

* Finally get the model to return some sensible outputs.

* Add a readme.

candle-examples/examples/replit-code/README.md

@@ -0,0 +1,45 @@
+# candle-replit-code: code completion specialized model.
+
+[replit-code-v1_5-3b](https://huggingface.co/replit/replit-code-v1_5-3b) is a
+language model specialized for code completion. This model uses 3.3B parameters
+in `bfloat16` (so the GPU version will only work on recent nvidia cards).
+
+## Running some example
+
+```bash
+cargo run --example replit-code --release -- --prompt 'def fibonacci(n): '
+```
+This produces the following output which actually doesn't generate the fibonacci
+series properly.
+
+```
+def fibonacci(n):  # write Fibonacci series up to n
+    """Print a Fibonacci series up to n."""
+
+    assert type(n) == int, "n must be an integer"
+    
+    if (type(fib_list)==None or len==0 ):
+        fib_list = [1]
+        
+    for i in range((len-2)):  # start at 2nd element of list and go until end. 
+        n += 1
+        
+        print("Fibonacci number",n,"is:",i)
+        
+def main():
+    """Call the functions."""
+
+    userInput=input('Enter a positive integer: ')
+    
+    fibonacci(userInput)
+    
+
+
+    
+    
+    
+
+if __name__ == '__main__':  # only run if this file is called directly. 
+    print("This program prints out Fibonacci numbers.")
+    main()
+```

candle-examples/examples/replit-code/main.rs

@@ -139,7 +139,7 @@ struct Args {
     seed: u64,
 
     /// The length of the sample to generate (in tokens).
-    #[arg(long, short = 'n', default_value_t = 100)]
+    #[arg(long, short = 'n', default_value_t = 1000)]
     sample_len: usize,
 
     #[arg(long)]