Olmo 3 32B Think

Exact model and requirements

Artifact:

LM Studio community (GGUF quantization); Ai2 (original model) / Olmo-3-32B-Think Q4_K_M, LM Studio derivative · checkpoint lmstudio-community/Olmo-3-32B-Think-GGUF

Publisher revision:

6721e7e5fca656d696d4a1a8cc654c2bbada294b

Artifact digest:

sha256:d11b0348a5d42183523f2c774054848fe64f0bba090e87fff6bc7d85718a68aa

Download size:

18.14 GiB

Memory requirement (unknown):

Unknown — No exact full-process peak for this Olmo Q4_K_M, sliding/full-attention and workload configuration.

System RAM / disk:

Unknown / Unknown

Placement:

single device. One CPU host; no tensor/pipeline sharding. CPU-only execution; --device none and zero GPU layers. No disk or accelerator offload.

KV cache:

F16 attention K and V; architecture includes sliding-window and full-attention layers. No full cache-memory estimate or measured peak.

Workload:

8,192 token context; Unknown; Unknown; concurrency 1; batch 1; cache unknown; repetitions Unknown.

Tokenizer:

Exact LM Studio GGUF tokenizer with separately pinned Ai2 native Think Jinja template · 6721e7e5fca656d696d4a1a8cc654c2bbada294b; template f2edda15216e738ef2bb73771e11890e152b2112

Sampling / reasoning:

Publisher recommends temperature 0.6, top_p 0.95 and 32,768 output tokens. This bounded walkthrough chooses 4,096 output tokens inside 8,192 total context tokens. top_k 50 follows the publisher example; min_p 0 and repeat_penalty 1 are author choices. The exact Olmo 3 32B Think native Jinja template opens <think> in its assistant generation prompt. Raw message.content is preserved with reasoning-format none and skip-chat-parsing. Inspect a closing </think> and a nonempty final body; do not assume structured reasoning_content. No tool executor is configured.

Runtime prerequisites:

Ubuntu 24.04 x86_64; See prerequisites above.

Official artifact · License

Ai2’s pinned model card explicitly declares Apache License 2.0 and links its Responsible Use Guidelines; LM Studio derivative metadata also declares Apache-2.0 and links the original model. A separate root LICENSE file returned 404 at the pinned base revision; this classification relies on those explicit declarations, not an invented retrieved license file. Read applicable terms and retain required notices when redistributing.

• olmo3-think-chat-template.jinja · 0 GiB · revision f2edda15216e738ef2bb73771e11890e152b2112

• The complete model file is 19,482,033,568 bytes. Runtime weights, sliding-window and full-attention cache, buffers, the operating system and build artifacts add requirements. File size alone does not prove fit.
• 64 GiB RAM and 80 GiB disk are author planning allocations, not measured minimums. Full working memory, latency and speed remain unknown.

Install the runtime

1. 1. Build the pinned CPU server

   Install build dependencies and compile the exact official source revision. These packages are system shared dependencies; no CUDA/GPU driver is required. GGML_NATIVE=ON selects -march=native for this GNU/Linux x86 build, compiling for the host CPU. Build and run on the same machine; no AVX-512 requirement is imposed on the i5-12400.

   CommandCopy command

   sudo apt-get update
   sudo apt-get install -y build-essential cmake git curl ca-certificates openssl
   mkdir -p "$HOME/olmo3-32b-think-hosting/models"
   cd "$HOME/olmo3-32b-think-hosting"
   git clone https://github.com/ggml-org/llama.cpp.git
   cd llama.cpp
   git checkout --detach 620d2225cc436ab0b001e3200e590e3b286ef9ab
   cmake -S . -B build -DCMAKE_BUILD_TYPE=Release -DGGML_METAL=OFF -DGGML_NATIVE=ON
   cmake --build build --config Release -j 8
   ./build/bin/llama-server --version

   Expected result: Build succeeds and server version identifies pinned source. Stop if checkout or build fails.

Download the model

1. 1. Download exact LM Studio GGUF and native Ai2 template

   Verify both independent immutable inputs. LM Studio says the derivative was produced using llama.cpp b7112; this walkthrough selects newer pinned runtime 0.7.0. Source architecture support is not an executed compatibility proof.

   CommandCopy command

   cd "$HOME/olmo3-32b-think-hosting"
   curl --fail --location --output models/Olmo-3-32B-Think-Q4_K_M.gguf 'https://huggingface.co/lmstudio-community/Olmo-3-32B-Think-GGUF/resolve/6721e7e5fca656d696d4a1a8cc654c2bbada294b/Olmo-3-32B-Think-Q4_K_M.gguf'
   curl --fail --location --output models/olmo3-think-chat-template.jinja 'https://huggingface.co/allenai/Olmo-3-32B-Think/raw/f2edda15216e738ef2bb73771e11890e152b2112/chat_template.jinja'
   sha256sum --check <<'SHA256'
   d11b0348a5d42183523f2c774054848fe64f0bba090e87fff6bc7d85718a68aa  models/Olmo-3-32B-Think-Q4_K_M.gguf
   eba6e269f669706e5c788e370160dad953137f3fa7014fa69d03c7b3ad9f0e72  models/olmo3-think-chat-template.jinja
   SHA256

   Expected result: Both files report OK; model 19,482,033,568 bytes, template 1434 bytes. Stop on mismatch.

Configure

1. 1. Create a private service credential

   Generate this only on your own host when following the guide. It is a local service password, not an OpenAI/provider credential. Keep it private and never paste it into tickets. Create it only when absent; preserve an existing key so a repeated setup does not silently rotate access. It is not created during this documentation run.

   CommandCopy command

   cd "$HOME/olmo3-32b-think-hosting"
   umask 077
   if [ ! -e .api-key ]; then
     openssl rand -hex 32 > .api-key
   fi
   test -s .api-key || { echo 'Existing .api-key is empty; restore it before continuing.'; exit 1; }
   chmod 600 .api-key

   Expected result: A non-empty private .api-key file exists; existing key preserved. No secret is printed.

Start the model

1. 1. Start one CPU Think sequence

   The pinned converter registers Olmo3ForCausalLM as OLMO2 and preserves its sliding-window pattern. The native CPU runtime supports the 64-layer 32B architecture and sliding/full attention. Use the native Think template verbatim. The author-selected 8,192-token combined context and 4,096-token output cap are a bounded functional walkthrough, reduced from the publisher’s 32,768-token output recommendation. They do not establish adequate reasoning budget. Stop if reasoning or final output is incomplete.

   CommandCopy command

   cd "$HOME/olmo3-32b-think-hosting"
   export OLMO3_THINK_SERVICE_KEY="$(cat .api-key)"
   ./llama.cpp/build/bin/llama-server -m models/Olmo-3-32B-Think-Q4_K_M.gguf --alias olmo3-32b-think --host 127.0.0.1 --port 8080 --api-key "$OLMO3_THINK_SERVICE_KEY" --device none -ngl 0 -t 8 -c 8192 -np 1 --cache-type-k f16 --cache-type-v f16 --jinja --chat-template-file models/olmo3-think-chat-template.jinja --reasoning-format none --skip-chat-parsing --temp 0.6 --top-p 0.95 --top-k 50 --min-p 0.0 --repeat-penalty 1.0

   Expected result: Model initializes and listener starts. Pass readiness and authenticated chat checks before relying on it. Command-line key may be visible to privileged/local users; trusted host required.

Verify the setup

1. 1. Check readiness and authenticated text generation

   Use a second terminal on the server. Inspect raw choices[0].message.content for a closing </think>, followed by a nonempty final answer accurately summarizing the supplied passage. The opening <think> is in the template prefill and may not repeat in returned content. Require finish_reason != length. Missing closure, no final body, added facts or truncation fails this functional check. This does not measure reasoning quality.

   CommandCopy command

   cd "$HOME/olmo3-32b-think-hosting"
   export OLMO3_THINK_SERVICE_KEY="$(cat .api-key)"
   curl --fail http://127.0.0.1:8080/health
   curl --fail http://127.0.0.1:8080/v1/chat/completions -H "Authorization: Bearer $OLMO3_THINK_SERVICE_KEY" -H 'Content-Type: application/json' -d '{"model":"olmo3-32b-think","messages":[{"role":"user","content":"Summarize this supplied passage in one sentence without adding facts: The community library opens at 9am on weekdays and closes at 6pm. On Saturday it opens at 10am and closes at 4pm. It is closed on Sunday."}],"max_tokens":4096,"temperature":0.6,"top_k":50,"top_p":0.95,"min_p":0.0,"repeat_penalty":1.0}'
   curl -o /dev/null -s -w '%{http_code}\n' http://127.0.0.1:8080/v1/chat/completions -H 'Content-Type: application/json' -d '{"model":"olmo3-32b-think","messages":[{"role":"user","content":"Hello"}]}'

   Expected result: Health HTTP 200; authenticated generation contains closed reasoning and an accurate nonempty final summary, finish_reason is not length; unauthenticated chat HTTP 401. Never accept a partial reasoning trace as the final answer.

Performance evidence

No compatible measurement available. Documented support and estimated memory do not establish response speed.

Limits and troubleshooting

• Documented instructions only. OpenTools has not run this build or model, or measured peak memory, throughput or latency.
• This is the dense Olmo 3 32B Think text checkpoint. Its pinned native template initiates thinking. Raw reasoning and final content are returned together; no tool executor or structured reasoning parser is configured.
• The exact native config advertises 65,536 maximum positions with YaRN factor 8 and an original window of 8,192 tokens. Three of every four layers use a 4,096-token sliding window, distinct from the total context. This walkthrough chooses 8,192 combined prompt and output tokens, reserving up to 4,096 for reasoning plus final answer. Actual prompt/template token count is unmeasured; keep all input below the remaining budget. No larger-window behavior or RoPE modification is validated.
• F16 flags specify attention K and V cache precision. Full process memory and fit remain unknown; no cache-memory formula or performance observation is supplied.
• LM Studio says this derivative was quantized using llama.cpp b7112. The selected newer source runtime supports the Olmo 3 architecture, but this exact binary has not undergone a startup or compatibility test here.
• The separately pinned 1,434-byte native Think template is used verbatim. It appends <think> to the assistant generation prompt. Functional verification must find </think> and a final answer after it; equality with the GGUF embedded template and structured reasoning parsing have not been verified.
• The publisher recommends temperature 0.6, top_p 0.95 and 32,768 output tokens. This recipe deliberately caps output at 4,096 within 8,192 total context tokens for a bounded functional check; complex tasks may need a larger configuration and new review. A short cap does not disable thinking or prove adequate reasoning. top_k 50 follows the publisher example; min_p 0 and repeat_penalty 1 are author choices.
• 64 GiB RAM, 80 GiB disk and eight inference threads are resource allocations, not minimum requirements. Original dated cloud compute and storage quotes exclude tax, egress and administration. Local hardware purchase and electricity costs remain unknown.
• Loopback binding and a service key do not isolate the service from privileged local users. A public or shared service needs separately designed TLS, authentication and operations. Operating-system and build dependencies resolve at installation; retain tool versions and build logs.

Download or checksum failure

Verify exact uppercase filename and pinned URL; remove only the incomplete dedicated model file and retry. Do not run a mismatching file.

Architecture unsupported or build fails

Confirm exact pinned source commit, Ubuntu compiler/CMake dependencies and GGUF. Do not substitute an older packaged llama.cpp silently.

Out of memory or context overflow

Stop server, free/provision RAM or reduce context and restart; shorten input/output within configured total. Allocation is not a measured guarantee; record any changed configuration.

Connection refused or HTTP 401

Check foreground server logs, 8080 binding, matching private key and Bearer header. Run the client on this same desktop and keep the loopback listener.

Template error, incomplete answer or architecture mismatch

Confirm the exact Olmo 3 32B Think GGUF, native Think template hashes and pinned OLMO2 runtime mapping. Stop on loading or template errors. Require </think> followed by a useful final summary and finish_reason other than length. Keep template, prompt and generated reasoning plus final output within 8,192 tokens. If the 4,096 output cap truncates reasoning, the check fails; changing context/output creates a new configuration requiring validation.

Stop the model

1. 1. Stop the service

   Press Ctrl+C in server terminal. Unset key in each shell. Confirm this desktop localhost:8080 no longer serves the model.

   CommandCopy command

   unset OLMO3_THINK_SERVICE_KEY

   Expected result: Server stops and localhost:8080 stops serving.

Uninstall

1. 1. Remove dedicated model, build and credential files

   Back up wanted logs/files first. Remove only this walkthrough directory after confirming its path. Shared apt packages can remain; do not remove other workloads.

   CommandCopy command

   rm -r -- "$HOME/olmo3-32b-think-hosting"

   Expected result: Dedicated files and local service credential removed; shared system dependencies remain.

Related guides

• https://opentools.ai/llms/olmo-31-32b-instruct

Exact model and requirements

Artifact:

LM Studio community (GGUF quantization); Ai2 (original model) / Olmo-3-32B-Think Q4_K_M, LM Studio derivative · checkpoint lmstudio-community/Olmo-3-32B-Think-GGUF

Publisher revision:

6721e7e5fca656d696d4a1a8cc654c2bbada294b

Artifact digest:

sha256:d11b0348a5d42183523f2c774054848fe64f0bba090e87fff6bc7d85718a68aa

Download size:

18.14 GiB

Memory requirement (unknown):

Unknown — No exact full-process peak for this Olmo Q4_K_M, sliding/full-attention and workload configuration.

System RAM / disk:

Unknown / Unknown

Placement:

single device. One CPU host; no tensor/pipeline sharding. CPU-only execution; --device none and zero GPU layers. No disk or accelerator offload.

KV cache:

F16 attention K and V; architecture includes sliding-window and full-attention layers. No full cache-memory estimate or measured peak.

Workload:

8,192 token context; Unknown; Unknown; concurrency 1; batch 1; cache unknown; repetitions Unknown.

Tokenizer:

Exact LM Studio GGUF tokenizer with separately pinned Ai2 native Think Jinja template · 6721e7e5fca656d696d4a1a8cc654c2bbada294b; template f2edda15216e738ef2bb73771e11890e152b2112

Sampling / reasoning:

Publisher recommends temperature 0.6, top_p 0.95 and 32,768 output tokens. This bounded walkthrough chooses 4,096 output tokens inside 8,192 total context tokens. top_k 50 follows the publisher example; min_p 0 and repeat_penalty 1 are author choices. The exact Olmo 3 32B Think native Jinja template opens <think> in its assistant generation prompt. Raw message.content is preserved with reasoning-format none and skip-chat-parsing. Inspect a closing </think> and a nonempty final body; do not assume structured reasoning_content. No tool executor is configured.

Runtime prerequisites:

Ubuntu 24.04 x86_64; See prerequisites above.

Official artifact · License

Ai2’s pinned model card explicitly declares Apache License 2.0 and links its Responsible Use Guidelines; LM Studio derivative metadata also declares Apache-2.0 and links the original model. A separate root LICENSE file returned 404 at the pinned base revision; this classification relies on those explicit declarations, not an invented retrieved license file. Read applicable terms and retain required notices when redistributing.

• olmo3-think-chat-template.jinja · 0 GiB · revision f2edda15216e738ef2bb73771e11890e152b2112

• The complete model file is 19,482,033,568 bytes. Runtime weights, sliding-window and full-attention cache, buffers, the operating system and build artifacts add requirements. File size alone does not prove fit.
• 64 GiB RAM and 80 GiB disk are author planning allocations, not measured minimums. Full working memory, latency and speed remain unknown.

Install the runtime

1. 1. Build the pinned CPU server

   Install build dependencies and compile the exact official source revision. These packages are system shared dependencies; no CUDA/GPU driver is required. GGML_NATIVE=ON selects -march=native for this GNU/Linux x86 build, compiling for the host CPU. Build and run on the same machine; the binary uses the instruction set exposed by this r7i.2xlarge guest. Do not copy it to a different instance family without rebuilding.

   CommandCopy command

   sudo apt-get update
   sudo apt-get install -y build-essential cmake git curl ca-certificates openssl
   mkdir -p "$HOME/olmo3-32b-think-hosting/models"
   cd "$HOME/olmo3-32b-think-hosting"
   git clone https://github.com/ggml-org/llama.cpp.git
   cd llama.cpp
   git checkout --detach 620d2225cc436ab0b001e3200e590e3b286ef9ab
   cmake -S . -B build -DCMAKE_BUILD_TYPE=Release -DGGML_METAL=OFF -DGGML_NATIVE=ON
   cmake --build build --config Release -j 8
   ./build/bin/llama-server --version

   Expected result: Build succeeds and server version identifies pinned source. Stop if checkout or build fails.

Download the model

1. 1. Download exact LM Studio GGUF and native Ai2 template

   Verify both independent immutable inputs. LM Studio says the derivative was produced using llama.cpp b7112; this walkthrough selects newer pinned runtime 0.7.0. Source architecture support is not an executed compatibility proof.

   CommandCopy command

   cd "$HOME/olmo3-32b-think-hosting"
   curl --fail --location --output models/Olmo-3-32B-Think-Q4_K_M.gguf 'https://huggingface.co/lmstudio-community/Olmo-3-32B-Think-GGUF/resolve/6721e7e5fca656d696d4a1a8cc654c2bbada294b/Olmo-3-32B-Think-Q4_K_M.gguf'
   curl --fail --location --output models/olmo3-think-chat-template.jinja 'https://huggingface.co/allenai/Olmo-3-32B-Think/raw/f2edda15216e738ef2bb73771e11890e152b2112/chat_template.jinja'
   sha256sum --check <<'SHA256'
   d11b0348a5d42183523f2c774054848fe64f0bba090e87fff6bc7d85718a68aa  models/Olmo-3-32B-Think-Q4_K_M.gguf
   eba6e269f669706e5c788e370160dad953137f3fa7014fa69d03c7b3ad9f0e72  models/olmo3-think-chat-template.jinja
   SHA256

   Expected result: Both files report OK; model 19,482,033,568 bytes, template 1434 bytes. Stop on mismatch.

Configure

1. 1. Create a private service credential

   Generate this only on your own host when following the guide. It is a local service password, not an OpenAI/provider credential. Keep it private and never paste it into tickets. Create it only when absent; preserve an existing key so a repeated setup does not silently rotate access. It is not created during this documentation run.

   CommandCopy command

   cd "$HOME/olmo3-32b-think-hosting"
   umask 077
   if [ ! -e .api-key ]; then
     openssl rand -hex 32 > .api-key
   fi
   test -s .api-key || { echo 'Existing .api-key is empty; restore it before continuing.'; exit 1; }
   chmod 600 .api-key

   Expected result: A non-empty private .api-key file exists; existing key preserved. No secret is printed.

Start the model

1. 1. Start one CPU Think sequence

   The pinned converter registers Olmo3ForCausalLM as OLMO2 and preserves its sliding-window pattern. The native CPU runtime supports the 64-layer 32B architecture and sliding/full attention. Use the native Think template verbatim. The author-selected 8,192-token combined context and 4,096-token output cap are a bounded functional walkthrough, reduced from the publisher’s 32,768-token output recommendation. They do not establish adequate reasoning budget. Stop if reasoning or final output is incomplete.

   CommandCopy command

   cd "$HOME/olmo3-32b-think-hosting"
   export OLMO3_THINK_SERVICE_KEY="$(cat .api-key)"
   ./llama.cpp/build/bin/llama-server -m models/Olmo-3-32B-Think-Q4_K_M.gguf --alias olmo3-32b-think --host 127.0.0.1 --port 8080 --api-key "$OLMO3_THINK_SERVICE_KEY" --device none -ngl 0 -t 8 -c 8192 -np 1 --cache-type-k f16 --cache-type-v f16 --jinja --chat-template-file models/olmo3-think-chat-template.jinja --reasoning-format none --skip-chat-parsing --temp 0.6 --top-p 0.95 --top-k 50 --min-p 0.0 --repeat-penalty 1.0

   Expected result: Model initializes and listener starts. Pass readiness and authenticated chat checks before relying on it. Command-line key may be visible to privileged/local users; trusted host required.

Verify the setup

1. 1. Check readiness and authenticated text generation

   Use a second terminal on the server. Inspect raw choices[0].message.content for a closing </think>, followed by a nonempty final answer accurately summarizing the supplied passage. The opening <think> is in the template prefill and may not repeat in returned content. Require finish_reason != length. Missing closure, no final body, added facts or truncation fails this functional check. This does not measure reasoning quality.

   CommandCopy command

   cd "$HOME/olmo3-32b-think-hosting"
   export OLMO3_THINK_SERVICE_KEY="$(cat .api-key)"
   curl --fail http://127.0.0.1:8080/health
   curl --fail http://127.0.0.1:8080/v1/chat/completions -H "Authorization: Bearer $OLMO3_THINK_SERVICE_KEY" -H 'Content-Type: application/json' -d '{"model":"olmo3-32b-think","messages":[{"role":"user","content":"Summarize this supplied passage in one sentence without adding facts: The community library opens at 9am on weekdays and closes at 6pm. On Saturday it opens at 10am and closes at 4pm. It is closed on Sunday."}],"max_tokens":4096,"temperature":0.6,"top_k":50,"top_p":0.95,"min_p":0.0,"repeat_penalty":1.0}'
   curl -o /dev/null -s -w '%{http_code}\n' http://127.0.0.1:8080/v1/chat/completions -H 'Content-Type: application/json' -d '{"model":"olmo3-32b-think","messages":[{"role":"user","content":"Hello"}]}'

   Expected result: Health HTTP 200; authenticated generation contains closed reasoning and an accurate nonempty final summary, finish_reason is not length; unauthenticated chat HTTP 401. Never accept a partial reasoning trace as the final answer.

Performance evidence

No compatible measurement available. Documented support and estimated memory do not establish response speed.

Limits and troubleshooting

• Documented instructions only. OpenTools has not run this build or model, or measured peak memory, throughput or latency.
• This is the dense Olmo 3 32B Think text checkpoint. Its pinned native template initiates thinking. Raw reasoning and final content are returned together; no tool executor or structured reasoning parser is configured.
• The exact native config advertises 65,536 maximum positions with YaRN factor 8 and an original window of 8,192 tokens. Three of every four layers use a 4,096-token sliding window, distinct from the total context. This walkthrough chooses 8,192 combined prompt and output tokens, reserving up to 4,096 for reasoning plus final answer. Actual prompt/template token count is unmeasured; keep all input below the remaining budget. No larger-window behavior or RoPE modification is validated.
• F16 flags specify attention K and V cache precision. Full process memory and fit remain unknown; no cache-memory formula or performance observation is supplied.
• LM Studio says this derivative was quantized using llama.cpp b7112. The selected newer source runtime supports the Olmo 3 architecture, but this exact binary has not undergone a startup or compatibility test here.
• The separately pinned 1,434-byte native Think template is used verbatim. It appends <think> to the assistant generation prompt. Functional verification must find </think> and a final answer after it; equality with the GGUF embedded template and structured reasoning parsing have not been verified.
• The publisher recommends temperature 0.6, top_p 0.95 and 32,768 output tokens. This recipe deliberately caps output at 4,096 within 8,192 total context tokens for a bounded functional check; complex tasks may need a larger configuration and new review. A short cap does not disable thinking or prove adequate reasoning. top_k 50 follows the publisher example; min_p 0 and repeat_penalty 1 are author choices.
• 64 GiB RAM, 80 GiB disk and eight inference threads are resource allocations, not minimum requirements. Original dated cloud compute and storage quotes exclude tax, egress and administration. Local hardware purchase and electricity costs remain unknown.
• Loopback binding and a service key do not isolate the service from privileged local users. A public or shared service needs separately designed TLS, authentication and operations. Operating-system and build dependencies resolve at installation; retain tool versions and build logs.

Download or checksum failure

Verify exact uppercase filename and pinned URL; remove only the incomplete dedicated model file and retry. Do not run a mismatching file.

Architecture unsupported or build fails

Confirm exact pinned source commit, Ubuntu compiler/CMake dependencies and GGUF. Do not substitute an older packaged llama.cpp silently.

Out of memory or context overflow

Stop server, free/provision RAM or reduce context and restart; shorten input/output within configured total. Allocation is not a measured guarantee; record any changed configuration.

Connection refused or HTTP 401

Check foreground server logs, 8080 binding, matching private key and Bearer header. Cloud client must have working SSH tunnel to the correct VM; do not expose the port to repair a tunnel.

Template error, incomplete answer or architecture mismatch

Confirm the exact Olmo 3 32B Think GGUF, native Think template hashes and pinned OLMO2 runtime mapping. Stop on loading or template errors. Require </think> followed by a useful final summary and finish_reason other than length. Keep template, prompt and generated reasoning plus final output within 8,192 tokens. If the 4,096 output cap truncates reasoning, the check fails; changing context/output creates a new configuration requiring validation.

Stop the model

1. 1. Stop the service

   Press Ctrl+C in server terminal. Unset key in each shell. Close the SSH tunnel with Ctrl+C. Stopping the process alone does not stop EC2 billing.

   CommandCopy command

   unset OLMO3_THINK_SERVICE_KEY

   Expected result: Server stops and localhost:8080 stops serving.

Uninstall

1. 1. Remove dedicated model, build and credential files

   Back up wanted logs/files first. Remove only this walkthrough directory after confirming its path. Shared apt packages can remain; do not remove other workloads.

   CommandCopy command

   rm -r -- "$HOME/olmo3-32b-think-hosting"

   Expected result: Dedicated files and local service credential removed; shared system dependencies remain.

Shut down cloud resources

1. 1. End cloud billing resources

   In EC2 us-east-1, stop for later reuse or terminate this exact VM. Review Delete on termination for its root volume. Delete unwanted detached EBS volumes, snapshots and reserved/Elastic/public IP resources. Stopped VM storage and retained resources may still bill. Check Bills/Cost Explorer later for final usage.

   Expected result: Exact instance is stopped/terminated as intended; no unwanted attached/retained billed resources remain. Instance compute stops only after its lifecycle transition, not when llama-server stops.

Related guides

• https://opentools.ai/llms/olmo-31-32b-instruct