Qwen

Qwen3-14B

14.8B parameters · reasoning · Base · Qwen3 family

Long context — how it uses memory →
apache-2.0 hash verified source matched revision pinned

Which version should I download?

Default pick: GGUF · Q4_K_M — Unsloth Q4_K_M quant of Qwen3-14B (14.768B dense) — recommended balanced pick. Apache-2.0.

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Quantizations

Why these quants? Which quant should I pick? What do these mean?

GGUF · IQ4_XS

7.58 GB

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Est. speed
—
Swarm
2S / 0L webseed OK

Unsloth IQ4_XS quant of Qwen3-14B (14.768B dense) — compact low-bit option. Apache-2.0.

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GGUF · Q4_K_M

8.38 GB

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Est. speed
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Swarm
2S / 0L webseed OK

Unsloth Q4_K_M quant of Qwen3-14B (14.768B dense) — recommended balanced pick. Apache-2.0.

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GGUF · Q8_0

14.62 GB

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Est. speed
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Swarm
2S / 0L webseed OK

Unsloth Q8_0 quant of Qwen3-14B (14.768B dense) — high-quality option. Apache-2.0.

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Runs fully on

RTX 5090 · Q8_0 RTX 5060 Ti 16GB · Q4_K_M RTX 5070 Ti · Q4_K_M RTX 5080 · Q4_K_M RTX 5070 · Q4_K_M

Green = the model's best quant fits fully in GPU/unified memory at 8K context. Tap a card for its full "what runs on it" page.

Context

Advertised 40k · usable ≈ 64–128k (measured — RULER)

How we know

Evidence grade: measured — a published evaluation we can cite, with task and length stated.

RULER (author-reported): 94.0 at 64k, 85.1 at 128k; leaderboard lists effective length >128k. Card: native 32,768, 131,072 via YaRN.

Reviewed on Jul 18, 2026.

Capabilities (as declared by the maintainer): reasoning tool calling

Run it

Runtime completeness (IQ4_XS torrent): llama.cpp ✅ Ollama – vision sidecar –

  • – Ollama — runs the GGUF directly; no Modelfile bundled
  • – vision sidecar — not a vision model

Context / KV 8,192 tokens · FP16 set above the quant table

Generic commands (no rig set). GPU-offload values assume the model fits on your GPU — set your rig for values tuned to your hardware.

Start the server 
llama-server -m Qwen3-14B-IQ4_XS.gguf -c 8192 -ngl 999

Use llama-cli in place of llama-server for a one-shot prompt.

Save as Modelfile next to the GGUF (Modelfile) 
FROM ./Qwen3-14B-IQ4_XS.gguf
PARAMETER num_ctx 8192
PARAMETER num_gpu 999
PARAMETER stop "<|im_end|>"
PARAMETER stop "<|endoftext|>"
PARAMETER temperature 0.6
PARAMETER top_p 0.95
PARAMETER top_k 20
# Chat template: Ollama uses the template embedded in the GGUF (no TEMPLATE directive needed).
Create 
ollama create qwen-qwen3-14b -f Modelfile
Run 
ollama run qwen-qwen3-14b

GGUF is not a first-class vLLM format.

vLLM GGUF support is experimental and single-file only; prefer safetensors/GPTQ/AWQ for production. If you must, pass the .gguf path to `vllm serve` with --load-format gguf on a recent vLLM.

transformers does not load GGUF weights.

GGUF weights run under llama.cpp, Ollama or LM Studio.

Load Qwen3-14B-IQ4_XS.gguf, set the context length to 8192 tokens. Set GPU offload to Max (all layers).

MLX runs MLX-format weights only (Apple Silicon). This quant is a GGUF build.

GGUF weights run under llama.cpp, Ollama or LM Studio.

Technical details

Chat template

{%- if tools %}
    {{- '<|im_start|>system\n' }}
    {%- if messages[0].role == 'system' %}
        {{- messages[0].content + '\n\n' }}
    {%- endif %}
    {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
    {%- for tool in tools %}
        {{- "\n" }}
        {{- tool | tojson }}
    {%- endfor %}
    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
{%- else %}
    {%- if messages[0].role == 'system' %}
        {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
    {%- endif %}
{%- endif %}
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
{%- for message in messages[::-1] %}
    {%- set index = (messages|length - 1) - loop.index0 %}
    {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
        {%- set ns.multi_step_tool = false %}
        {%- set ns.last_query_index = index %}
    {%- endif %}
{%- endfor %}
{%- for message in messages %}
    {%- if message.content is string %}
        {%- set content = message.content %}
    {%- else %}
        {%- set content = '' %}
    {%- endif %}
    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
    {%- elif message.role == "assistant" %}
        {%- set reasoning_content = '' %}
        {%- if message.reasoning_content is string %}
            {%- set reasoning_content = message.reasoning_content %}
        {%- else %}
            {%- if '</think>' in content %}
                {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
                {%- set content = content.split('</think>')[-1].lstrip('\n') %}
            {%- endif %}
        {%- endif %}
        {%- if loop.index0 > ns.last_query_index %}
            {%- if loop.last or (not loop.last and reasoning_content) %}
                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
            {%- else %}
                {{- '<|im_start|>' + message.role + '\n' + content }}
            {%- endif %}
        {%- else %}
            {{- '<|im_start|>' + message.role + '\n' + content }}
        {%- endif %}
        {%- if message.tool_calls %}
            {%- for tool_call in message.tool_calls %}
                {%- if (loop.first and content) or (not loop.first) %}
                    {{- '\n' }}
                {%- endif %}
                {%- if tool_call.function %}
                    {%- set tool_call = tool_call.function %}
                {%- endif %}
                {{- '<tool_call>\n{"name": "' }}
                {{- tool_call.name }}
                {{- '", "arguments": ' }}
                {%- if tool_call.arguments is string %}
                    {{- tool_call.arguments }}
                {%- else %}
                    {{- tool_call.arguments | tojson }}
                {%- endif %}
                {{- '}\n</tool_call>' }}
            {%- endfor %}
        {%- endif %}
        {{- '<|im_end|>\n' }}
    {%- elif message.role == "tool" %}
        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
            {{- '<|im_start|>user' }}
        {%- endif %}
        {{- '\n<tool_response>\n' }}
        {{- content }}
        {{- '\n</tool_response>' }}
        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
            {{- '<|im_end|>\n' }}
        {%- endif %}
    {%- endif %}
{%- endfor %}
{%- if add_generation_prompt %}
    {{- '<|im_start|>assistant\n' }}
    {%- if enable_thinking is defined and enable_thinking is false %}
        {{- '<think>\n\n</think>\n\n' }}
    {%- endif %}
{%- endif %}

Sampling defaults

top_k
20
top_p
0.95
temperature
0.6

Stop strings

<|im_end|> <|endoftext|>

Evidence & provenance

Source

Provenance
https://huggingface.co/Qwen/Qwen3-14B
Revision pin
40c069824f4251a91eefaf281ebe4c544efd3e18
Manifest
Present

License

Name
apache-2.0
Commercial use
yes
Access
Open

How verification works →

File hashes (SHA-256)

  • qwen3-14b-iq4-xs/LICENSE cfc7749b96f63bd31c3c42b5c471bf756814053e847c10f3eb003417bc523d30
  • qwen3-14b-iq4-xs/Qwen3-14B-IQ4_XS.gguf e24bdda1295a1bb7898b7af9300b86eba0ffba66d8f3dadbc90d00e98ecd5369
  • qwen3-14b-iq4-xs/README.md 03863fe89656c2995d79e5471ca8793f0e37cdec0e1d223675c65422f9eb2997
  • qwen3-14b-q4-k-m/LICENSE cfc7749b96f63bd31c3c42b5c471bf756814053e847c10f3eb003417bc523d30
  • qwen3-14b-q4-k-m/Qwen3-14B-Q4_K_M.gguf 5eaa0870bd81ed3b58a630a271234cfa604e43ffb3a19cd68e54a80dd9d52a66
  • qwen3-14b-q4-k-m/README.md 03863fe89656c2995d79e5471ca8793f0e37cdec0e1d223675c65422f9eb2997
  • qwen3-14b-q8-0/LICENSE cfc7749b96f63bd31c3c42b5c471bf756814053e847c10f3eb003417bc523d30
  • qwen3-14b-q8-0/Qwen3-14B-Q8_0.gguf 90224247d4a8076c0a689e833910f4291bce05dec81f472ebcba321607168ea1
  • qwen3-14b-q8-0/README.md 03863fe89656c2995d79e5471ca8793f0e37cdec0e1d223675c65422f9eb2997

Explore further

Appears in

What runs on 12 GB of VRAM What runs on 16 GB of VRAM What runs on a 16 GB Mac What runs on a 24 GB Mac Coding models that fit 12 GB Writing models that fit 12 GB

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