Update README.md

README.md

@@ -1,5 +1,5 @@
 ---
-license: cc-by-nc-4.0
+license: apache-2.0
 language:
 - en
 pipeline_tag: text-generation
@@ -8,17 +8,27 @@ datasets:
 - Locutusque/TM-DATA
 inference:
   parameters:
-    do_sample: True
+    do_sample: true
     temperature: 0.7
     top_p: 0.2
     top_k: 14
     max_new_tokens: 250
     repetition_penalty: 1.16
 widget:
-  - text: >-
-      TITLE: Dirichlet density QUESTION [5 upvotes]: How to solve the following exercise: Let $q$ be prime. Show that the set of primes p for which $p \equiv 1\pmod q$ and $$2^{(p-1)/q} \equiv 1 \pmod p$$ has Dirichlet density $\dfrac{1}{q(q-1)}$. I want to show that $X^q-2$ (mod $p$) has a solution and $q$ divides $p-1$ , these two conditions are simultaneonusly satisfied iff p splits completely in $\Bbb{Q}(\zeta_q,2^{\frac{1}{q}})$. $\zeta_q $ is primitive $q^{th}$ root of unity. If this is proved the I can conclude the result by Chebotarev density theorem. REPLY [2 votes]:
-  - text: >-
-      An emerging clinical approach to treat substance abuse disorders involves a form of cognitive-behavioral therapy whereby addicts learn to reduce their reactivity to drug-paired stimuli through cue-exposure or extinction training. It is, however,
+- text: >-
+    TITLE: Dirichlet density QUESTION [5 upvotes]: How to solve the following
+    exercise: Let $q$ be prime. Show that the set of primes p for which $p
+    \equiv 1\pmod q$ and $2^{(p-1)/q} \equiv 1 \pmod p$ has Dirichlet density
+    $\dfrac{1}{q(q-1)}$. I want to show that $X^q-2$ (mod $p$) has a solution
+    and $q$ divides $p-1$ , these two conditions are simultaneonusly satisfied
+    iff p splits completely in $\Bbb{Q}(\zeta_q,2^{\frac{1}{q}})$. $\zeta_q $ is
+    primitive $q^{th}$ root of unity. If this is proved the I can conclude the
+    result by Chebotarev density theorem. REPLY [2 votes]:
+- text: >-
+    An emerging clinical approach to treat substance abuse disorders involves a
+    form of cognitive-behavioral therapy whereby addicts learn to reduce their
+    reactivity to drug-paired stimuli through cue-exposure or extinction
+    training. It is, however,
 ---
 # Training
 This model was trained on two datasets, shown in this model page.
@@ -27,6 +37,4 @@ This model was trained on two datasets, shown in this model page.
 Training took approximately 500 GPU hours on a single Titan V.
 # Metrics
 You can look at the training metrics here:
-https://wandb.ai/locutusque/TinyMistral-V2/runs/g0rvw6wc
-# License
-This model is released under the cc-by-nc-4.0 license. This is because the data used to train this model is under this same license.
+https://wandb.ai/locutusque/TinyMistral-V2/runs/g0rvw6wc