diff --git a/docs/functions.md b/docs/functions.md
index 9c45ada54..df0c06d01 100644
--- a/docs/functions.md
+++ b/docs/functions.md
@@ -70,6 +70,10 @@ Consult the full list of available models with:
 ontogpt list-models
 ```
 
+Note this will list all models available across a variety of sources - API keys will still be required to access many.
+
+The name in the first column is the model name to be used with the `--model` option, e.g., `--model mistral/mistral-medium`.
+
 ### recurse
 
 Use the option `recurse` to specify whether recursion should be used when parsing the schema.
diff --git a/docs/setup.md b/docs/setup.md
index f48b6e422..687d5bb02 100644
--- a/docs/setup.md
+++ b/docs/setup.md
@@ -96,4 +96,4 @@ This may require a command like `ollama serve` or `sudo systemctl start ollama`.
 
 Then retrieve a model with `ollama pull <modelname>`, e.g., `ollama pull llama3`.
 
-The model may then be used in OntoGPT by prefixing its name with `ollama/`, e.g., `ollama/llama3`.
+The model may then be used in OntoGPT by prefixing its name with `ollama/`, e.g., `ollama/llama3`, along with the `--model` option.
diff --git a/poetry.lock b/poetry.lock
index 06de7b102..688b2be1f 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -504,17 +504,17 @@ files = [
 
 [[package]]
 name = "boto3"
-version = "1.34.147"
+version = "1.34.148"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "boto3-1.34.147-py3-none-any.whl", hash = "sha256:e1cef9a1a301866bcdee32ae0c699465eb2345f9a8e613a5835821430165ff6d"},
-    {file = "boto3-1.34.147.tar.gz", hash = "sha256:9ec1c6ab22588242a47549f51a63dfc7c21fdf95a94820fc6e629ab060c38bd9"},
+    {file = "boto3-1.34.148-py3-none-any.whl", hash = "sha256:d63d36e5a34533ba69188d56f96da132730d5e9932c4e11c02d79319cd1afcec"},
+    {file = "boto3-1.34.148.tar.gz", hash = "sha256:2058397f0a92c301e3116e9e65fbbc70ea49270c250882d65043d19b7c6e2d17"},
 ]
 
 [package.dependencies]
-botocore = ">=1.34.147,<1.35.0"
+botocore = ">=1.34.148,<1.35.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.10.0,<0.11.0"
 
@@ -523,13 +523,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.34.147"
+version = "1.34.148"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "botocore-1.34.147-py3-none-any.whl", hash = "sha256:be94a2f4874b1d1705cae2bd512c475047497379651678593acb6c61c50d91de"},
-    {file = "botocore-1.34.147.tar.gz", hash = "sha256:2e8f000b77e4ca345146cb2edab6403769a517b564f627bb084ab335417f3dbe"},
+    {file = "botocore-1.34.148-py3-none-any.whl", hash = "sha256:9e09428b0bc4d0c1cf5e368dd6ab18eabf6047304060f8b5dd8391677cfe00e6"},
+    {file = "botocore-1.34.148.tar.gz", hash = "sha256:258dd95570b43db9fa21cce5426eabaea5867e3a61224157650448b5019d1bbd"},
 ]
 
 [package.dependencies]
@@ -2106,13 +2106,13 @@ socks = ["socksio (==1.*)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.24.1"
+version = "0.24.2"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "huggingface_hub-0.24.1-py3-none-any.whl", hash = "sha256:d3a623d0f2cbb9399299aefc85e3423fa2689f18ab9b6e1aa0f95d1793889f30"},
-    {file = "huggingface_hub-0.24.1.tar.gz", hash = "sha256:6915e34c7b1282b0f7c2387c12db21003b79889f1dad57da0434ecd10f3293a8"},
+    {file = "huggingface_hub-0.24.2-py3-none-any.whl", hash = "sha256:abdf3244d3a274c4b1fbc5c4a1ef700032b3f60ba93cc63e4f036fd082aa2805"},
+    {file = "huggingface_hub-0.24.2.tar.gz", hash = "sha256:92be892405d2f6a7a8479016f9a5662354f202b2c6c1ff499609621aed1fae10"},
 ]
 
 [package.dependencies]
@@ -2265,13 +2265,13 @@ files = [
 
 [[package]]
 name = "importlib-metadata"
-version = "8.1.0"
+version = "8.2.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "importlib_metadata-8.1.0-py3-none-any.whl", hash = "sha256:3cd29f739ed65973840b068e3132135ce954c254d48b5b640484467ef7ab3c8c"},
-    {file = "importlib_metadata-8.1.0.tar.gz", hash = "sha256:fcdcb1d5ead7bdf3dd32657bb94ebe9d2aabfe89a19782ddc32da5041d6ebfb4"},
+    {file = "importlib_metadata-8.2.0-py3-none-any.whl", hash = "sha256:11901fa0c2f97919b288679932bb64febaeacf289d18ac84dd68cb2e74213369"},
+    {file = "importlib_metadata-8.2.0.tar.gz", hash = "sha256:72e8d4399996132204f9a16dcc751af254a48f8d1b20b9ff0f98d4a8f901e73d"},
 ]
 
 [package.dependencies]
@@ -3267,13 +3267,13 @@ requests = "*"
 
 [[package]]
 name = "litellm"
-version = "1.41.27"
+version = "1.42.1"
 description = "Library to easily interface with LLM API providers"
 optional = false
 python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
 files = [
-    {file = "litellm-1.41.27-py3-none-any.whl", hash = "sha256:df97e46517129826ae958e6571b22714e79f3eba76af2f0fd812f499b21b7d2c"},
-    {file = "litellm-1.41.27.tar.gz", hash = "sha256:c70996f665be3c40177622afd9c54408a7430ede0e590abd8e9585f0285d6b87"},
+    {file = "litellm-1.42.1-py3-none-any.whl", hash = "sha256:2811bae2f2ecca57c6f389e0cc7580d38248f11ad74543a57be5d13ff8f07c62"},
+    {file = "litellm-1.42.1.tar.gz", hash = "sha256:94bf5a2a6a6c87abb21321f8876ad350fb486cbdd3ae3818c16226c19d57dd94"},
 ]
 
 [package.dependencies]
@@ -5201,13 +5201,13 @@ xml = ["lxml"]
 
 [[package]]
 name = "pytest"
-version = "8.3.1"
+version = "8.3.2"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pytest-8.3.1-py3-none-any.whl", hash = "sha256:e9600ccf4f563976e2c99fa02c7624ab938296551f280835ee6516df8bc4ae8c"},
-    {file = "pytest-8.3.1.tar.gz", hash = "sha256:7e8e5c5abd6e93cb1cc151f23e57adc31fcf8cfd2a3ff2da63e23f732de35db6"},
+    {file = "pytest-8.3.2-py3-none-any.whl", hash = "sha256:4ba08f9ae7dcf84ded419494d229b48d0903ea6407b030eaec46df5e6a73bba5"},
+    {file = "pytest-8.3.2.tar.gz", hash = "sha256:c132345d12ce551242c87269de812483f5bcc87cdbb4722e48487ba194f9fdce"},
 ]
 
 [package.dependencies]
@@ -5685,90 +5685,90 @@ rpds-py = ">=0.7.0"
 
 [[package]]
 name = "regex"
-version = "2024.5.15"
+version = "2024.7.24"
 description = "Alternative regular expression module, to replace re."
 optional = false
 python-versions = ">=3.8"
 files = [
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 [[package]]
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 ]
 
 [[package]]
diff --git a/pyproject.toml b/pyproject.toml
index e9aa5ad23..705d79d97 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "ontogpt"
-version = "1.0.0rc1"
+version = "1.0.0rc2"
 description = "OntoGPT"
 authors = ["Chris Mungall <cjmungall@lbl.gov>", "J. Harry Caufield <jhc@lbl.gov>"]
 license = "BSD-3"
diff --git a/src/ontogpt/evaluation/resolver.py b/src/ontogpt/evaluation/resolver.py
index 023035394..92ced439a 100644
--- a/src/ontogpt/evaluation/resolver.py
+++ b/src/ontogpt/evaluation/resolver.py
@@ -1,4 +1,5 @@
 """Evaluation Resolver."""
+
 from typing import Optional, Type, Union
 
 from class_resolver import ClassResolver
diff --git a/src/ontogpt/io/csv_wrapper.py b/src/ontogpt/io/csv_wrapper.py
index 761b79f0f..4a7832254 100644
--- a/src/ontogpt/io/csv_wrapper.py
+++ b/src/ontogpt/io/csv_wrapper.py
@@ -278,13 +278,13 @@ def parse_yaml_predictions(yaml_path: str, schema_path: str, root_class=None):
                 row["category"] = class_name
                 row["provided_by"] = doc_id
                 # TODO: permit n-ary relations, given we know what to do with them
-                
+
                 # If s, p, o are explicitly defined, use them
-                if 'subject' in rel.keys() and 'object' in rel.keys():
+                if "subject" in rel.keys() and "object" in rel.keys():
                     row["subject"] = rel["subject"]
                     row["object"] = rel["object"]
 
-                if 'predicate' in rel.keys():
+                if "predicate" in rel.keys():
                     row["predicate"] = rel["predicate"]
                 else:
                     row["predicate"] = class_name
@@ -328,8 +328,8 @@ def parse_yaml_predictions(yaml_path: str, schema_path: str, root_class=None):
     if len(ent_rows) == 0:
         logger.warning("No entities found in output")
     if len(rel_rows) == 0:
-        logger.warning("No relations found in output")        
-    
+        logger.warning("No relations found in output")
+
     # Make dataframes
     ent_df = pd.DataFrame(ent_rows)
     rel_df = pd.DataFrame(rel_rows)