format

VJHack · VJHack · commit b29deb83cd6c · 2025-01-13T19:08:30.000-06:00
diff --git a/examples/main/README.md b/examples/main/README.md
@@ -273,7 +273,7 @@ Top-nσ sampling is a text generation method that selects tokens based on a stat
 
 Example usage: `--top-nsigma 1`
 
-### Logit Bias  
+### Logit Bias
 
 -   `-l TOKEN_ID(+/-)BIAS, --logit-bias TOKEN_ID(+/-)BIAS`: Modify the likelihood of a token appearing in the generated text completion.
 
diff --git a/src/llama-sampling.cpp b/src/llama-sampling.cpp
@@ -1672,7 +1672,7 @@ static void llama_sampler_top_n_sigma_apply(struct llama_sampler * smpl, llama_t
         logits_sum += cur_p->data[i].logit;
     }
     float mean = (float)logits_sum/cur_p->size;
-    
+
     // calculate standard deviation
     float acc = 0;
     for(size_t i = 0; i < cur_p->size; ++i){

Original file line number	Diff line number	Diff line change
`@@ -1672,7 +1672,7 @@ static void llama_sampler_top_n_sigma_apply(struct llama_sampler * smpl, llama_t`
`1672`	`1672`	`logits_sum += cur_p->data[i].logit;`
`1673`	`1673`	`}`
`1674`	`1674`	`float mean = (float)logits_sum/cur_p->size;`
`1675`		`-`
	`1675`	`+`
`1676`	`1676`	`// calculate standard deviation`
`1677`	`1677`	`float acc = 0;`
`1678`	`1678`	`for(size_t i = 0; i < cur_p->size; ++i){`